{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": { "editable": true }, "outputs": [], "source": [ "import numpy as np\n", "import pandas as pd\n", "import datetime as dt\n", "\n", "pd.set_option('display.max_rows', 16)\n", "\n", "import matplotlib.pyplot as plt\n", "%matplotlib inline\n", "plt.rcParams['figure.figsize'] = (16.0, 9.0)\n", "import seaborn as sns\n", "\n", "import statsmodels.api as sm\n", "from sklearn.linear_model import LinearRegression\n", "\n", "import gc" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "editable": true }, "outputs": [], "source": [ "plt.rcParams['figure.figsize'] = (16.0, 9.0)" ] }, { "cell_type": "markdown", "metadata": { "editable": true }, "source": [ "# Data" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "editable": true }, "outputs": [], "source": [ "START = '2007-01-01'\n", "END = '2022-03-31'" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "editable": true }, "outputs": [], "source": [ "# Security Id\n", "stk_info = DataAPI.SecIDGet(assetClass=\"E\",pandas=\"1\")\n", "cond1 = (stk_info['exchangeCD'] == 'XSHE') | (stk_info['exchangeCD'] == 'XSHG')\n", "cond2 = (stk_info['listStatusCD'] == 'L') | (stk_info['listStatusCD'] == 'DE')\n", "stk_info = stk_info[cond1 & cond2].copy()\n", "stk_id = stk_info['secID']" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "editable": true }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
secIDtickersecShortNamecnSpellexchangeCDassetClasslistStatusCDlistDatetransCurrCDISINpartyIDdelistDate
0000001.XSHE000001平安银行PAYHXSHEEL1991-04-03CNYCNE0000000402.0NaN
1000002.XSHE000002万科AWKAXSHEEL1991-01-29CNYCNE0000000T23.0NaN
2000003.XSHE000003PT金田APTJTAXSHEEDE1991-07-03CNYCNE1000031Y54.02002-06-14
3000004.XSHE000004国华网安GHWAXSHEEL1991-01-14CNYCNE0000000Y25.0NaN
4000005.XSHE000005ST星源STXYXSHEEL1990-12-10CNYCNE0000001L76.0NaN
5000006.XSHE000006深振业ASZYAXSHEEL1992-04-27CNYCNE0000001647.0NaN
6000007.XSHE000007*ST全新*STQXXSHEEL1992-04-13CNYCNE0000000P08.0NaN
7000008.XSHE000008神州高铁SZGTXSHEEL1992-05-07CNYCNE0000001C69.0NaN
.......................................
24142900950.XSHG900950新城B股XCBGXSHGEDE1997-10-16USDCNE000000TH11429.02015-11-23
24143900951.XSHG900951退市大化TSDHXSHGEDE1997-10-21USDCNE000000TJ71430.02020-08-27
24144900952.XSHG900952锦港B股JGBGXSHGEL1998-05-19USDCNE000000W88763.0NaN
24145900953.XSHG900953凯马BKMBXSHGEL1998-06-24USDCNE000000WP81431.0NaN
24146900955.XSHG900955*ST海创B*STHCBXSHGEL1999-01-18USDCNE000000YC21063.0NaN
24147900956.XSHG900956东贝B股DBBGXSHGEDE1999-07-15USDCNE000000ZS51432.02020-11-23
24148900957.XSHG900957凌云B股LYBGXSHGEL2000-07-28USDCNE0000013W91433.0NaN
28077DY600018.XSHGDY600018上港集箱SGJXXSHGEDE2000-07-19CNYNaN618.02006-10-20
\n", "

4929 rows × 12 columns

\n", "
" ], "text/plain": [ " secID ticker secShortName cnSpell exchangeCD assetClass \\\n", "0 000001.XSHE 000001 平安银行 PAYH XSHE E \n", "1 000002.XSHE 000002 万科A WKA XSHE E \n", "2 000003.XSHE 000003 PT金田A PTJTA XSHE E \n", "3 000004.XSHE 000004 国华网安 GHWA XSHE E \n", "4 000005.XSHE 000005 ST星源 STXY XSHE E \n", "5 000006.XSHE 000006 深振业A SZYA XSHE E \n", "6 000007.XSHE 000007 *ST全新 *STQX XSHE E \n", "7 000008.XSHE 000008 神州高铁 SZGT XSHE E \n", "... ... ... ... ... ... ... \n", "24142 900950.XSHG 900950 新城B股 XCBG XSHG E \n", "24143 900951.XSHG 900951 退市大化 TSDH XSHG E \n", "24144 900952.XSHG 900952 锦港B股 JGBG XSHG E \n", "24145 900953.XSHG 900953 凯马B KMB XSHG E \n", "24146 900955.XSHG 900955 *ST海创B *STHCB XSHG E \n", "24147 900956.XSHG 900956 东贝B股 DBBG XSHG E \n", "24148 900957.XSHG 900957 凌云B股 LYBG XSHG E \n", "28077 DY600018.XSHG DY600018 上港集箱 SGJX XSHG E \n", "\n", " listStatusCD listDate transCurrCD ISIN partyID delistDate \n", "0 L 1991-04-03 CNY CNE000000040 2.0 NaN \n", "1 L 1991-01-29 CNY CNE0000000T2 3.0 NaN \n", "2 DE 1991-07-03 CNY CNE1000031Y5 4.0 2002-06-14 \n", "3 L 1991-01-14 CNY CNE0000000Y2 5.0 NaN \n", "4 L 1990-12-10 CNY CNE0000001L7 6.0 NaN \n", "5 L 1992-04-27 CNY CNE000000164 7.0 NaN \n", "6 L 1992-04-13 CNY CNE0000000P0 8.0 NaN \n", "7 L 1992-05-07 CNY CNE0000001C6 9.0 NaN \n", "... ... ... ... ... ... ... \n", "24142 DE 1997-10-16 USD CNE000000TH1 1429.0 2015-11-23 \n", "24143 DE 1997-10-21 USD CNE000000TJ7 1430.0 2020-08-27 \n", "24144 L 1998-05-19 USD CNE000000W88 763.0 NaN \n", "24145 L 1998-06-24 USD CNE000000WP8 1431.0 NaN \n", "24146 L 1999-01-18 USD CNE000000YC2 1063.0 NaN \n", "24147 DE 1999-07-15 USD CNE000000ZS5 1432.0 2020-11-23 \n", "24148 L 2000-07-28 USD CNE0000013W9 1433.0 NaN \n", "28077 DE 2000-07-19 CNY NaN 618.0 2006-10-20 \n", "\n", "[4929 rows x 12 columns]" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "stk_info" ] }, { "cell_type": "markdown", "metadata": { "editable": true }, "source": [ "## ST" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "editable": true }, "outputs": [], "source": [ "st_df = DataAPI.SecSTGet(beginDate=START,endDate=END,secID=stk_id,field=['secID','tradeDate','STflg'],pandas=\"1\")" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "editable": true }, "outputs": [], "source": [ "st_df['tradeDate'] = pd.to_datetime(st_df['tradeDate'],format=\"%Y-%m-%d\")" ] }, { "cell_type": "markdown", "metadata": { "editable": true }, "source": [ "## Risk free rate" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "editable": true }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
ymrf
02007-010.002100
12007-020.002110
22007-030.002234
32007-040.002125
42007-050.002527
52007-060.002542
62007-070.002481
72007-080.002404
.........
1752021-080.001941
1762021-090.002033
1772021-100.001998
1782021-110.001963
1792021-120.002026
1802022-010.002014
1812022-020.001921
1822022-030.001919
\n", "

183 rows × 2 columns

\n", "
" ], "text/plain": [ " ym rf\n", "0 2007-01 0.002100\n", "1 2007-02 0.002110\n", "2 2007-03 0.002234\n", "3 2007-04 0.002125\n", "4 2007-05 0.002527\n", "5 2007-06 0.002542\n", "6 2007-07 0.002481\n", "7 2007-08 0.002404\n", ".. ... ...\n", "175 2021-08 0.001941\n", "176 2021-09 0.002033\n", "177 2021-10 0.001998\n", "178 2021-11 0.001963\n", "179 2021-12 0.002026\n", "180 2022-01 0.002014\n", "181 2022-02 0.001921\n", "182 2022-03 0.001919\n", "\n", "[183 rows x 2 columns]" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "shibor_df = DataAPI.MktIborGet(secID=\"Shibor1M.IRCN\",beginDate=START,endDate=END,field=['secID','tradeDate','rate'],pandas=\"1\")\n", "shibor_df['rate'] = shibor_df['rate']*0.01/12\n", "shibor_df['tradeDate'] = pd.to_datetime(shibor_df['tradeDate'])\n", "shibor_df.drop('secID',axis=1,inplace=True)\n", "shibor_df.rename(columns={'rate':'rf'},inplace=True)\n", "shibor_df['ym'] = shibor_df['tradeDate'].dt.to_period('M')\n", "shibor_df.sort_values('tradeDate',inplace=True)\n", "shibor_df_m = shibor_df.groupby('ym',as_index=False).last()\n", "shibor_df_m.drop('tradeDate',axis=1,inplace=True)\n", "shibor_df_m" ] }, { "cell_type": "markdown", "metadata": { "editable": true }, "source": [ "## Beta" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "editable": true }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
secIDymbeta
0000001.XSHE2007-010.7949
1000001.XSHE2007-020.7880
2000001.XSHE2007-030.8512
3000001.XSHE2007-040.8642
4000001.XSHE2007-050.7715
5000001.XSHE2007-060.4614
6000001.XSHE2007-070.6423
7000001.XSHE2007-080.7722
............
501234689009.XSHG2021-081.0727
501235689009.XSHG2021-091.0100
501236689009.XSHG2021-100.8570
501237689009.XSHG2021-110.7546
501238689009.XSHG2021-120.5898
501239689009.XSHG2022-010.5326
501240689009.XSHG2022-020.5294
501241689009.XSHG2022-030.5710
\n", "

501242 rows × 3 columns

\n", "
" ], "text/plain": [ " secID ym beta\n", "0 000001.XSHE 2007-01 0.7949\n", "1 000001.XSHE 2007-02 0.7880\n", "2 000001.XSHE 2007-03 0.8512\n", "3 000001.XSHE 2007-04 0.8642\n", "4 000001.XSHE 2007-05 0.7715\n", "5 000001.XSHE 2007-06 0.4614\n", "6 000001.XSHE 2007-07 0.6423\n", "7 000001.XSHE 2007-08 0.7722\n", "... ... ... ...\n", "501234 689009.XSHG 2021-08 1.0727\n", "501235 689009.XSHG 2021-09 1.0100\n", "501236 689009.XSHG 2021-10 0.8570\n", "501237 689009.XSHG 2021-11 0.7546\n", "501238 689009.XSHG 2021-12 0.5898\n", "501239 689009.XSHG 2022-01 0.5326\n", "501240 689009.XSHG 2022-02 0.5294\n", "501241 689009.XSHG 2022-03 0.5710\n", "\n", "[501242 rows x 3 columns]" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "beta_df = pd.read_pickle('./data/beta_df.pkl')\n", "beta_df['tradeDate'] = pd.to_datetime(beta_df['tradeDate'], format=\"%Y-%m-%d\")\n", "beta_df['ym'] = beta_df['tradeDate'].dt.to_period('M')\n", "beta_df.drop(['Beta60','Beta120'],axis=1,inplace=True)\n", "beta_df['Beta252'] = pd.to_numeric(beta_df['Beta252'])\n", "# Winsorization\n", "# up_q = 0.99999\n", "# lower_q = 0.00001\n", "# beta_df['Beta252_winsor'] = beta_df['Beta252'].clip(lower=beta_df['Beta252'].quantile(lower_q),upper=beta_df['Beta252'].quantile(up_q))\n", "# Monthly\n", "beta_df_m = beta_df.groupby(['secID','ym'],as_index=False)['Beta252'].last()\n", "beta_df_m.rename(columns={'Beta252':'beta'},inplace=True)\n", "beta_df_m" ] }, { "cell_type": "markdown", "metadata": { "editable": true }, "source": [ "## BM" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "editable": true }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
secIDymbm
0000001.XSHE2007-010.162639
1000001.XSHE2007-020.163321
2000001.XSHE2007-030.176236
3000001.XSHE2007-040.140732
4000001.XSHE2007-050.127291
5000001.XSHE2007-060.123739
6000001.XSHE2007-070.093992
7000001.XSHE2007-080.097085
............
500888689009.XSHG2021-080.076097
500889689009.XSHG2021-090.070547
500890689009.XSHG2021-100.092734
500891689009.XSHG2021-110.097551
500892689009.XSHG2021-120.084318
500893689009.XSHG2022-010.097158
500894689009.XSHG2022-020.103561
500895689009.XSHG2022-030.108407
\n", "

494110 rows × 3 columns

\n", "
" ], "text/plain": [ " secID ym bm\n", "0 000001.XSHE 2007-01 0.162639\n", "1 000001.XSHE 2007-02 0.163321\n", "2 000001.XSHE 2007-03 0.176236\n", "3 000001.XSHE 2007-04 0.140732\n", "4 000001.XSHE 2007-05 0.127291\n", "5 000001.XSHE 2007-06 0.123739\n", "6 000001.XSHE 2007-07 0.093992\n", "7 000001.XSHE 2007-08 0.097085\n", "... ... ... ...\n", "500888 689009.XSHG 2021-08 0.076097\n", "500889 689009.XSHG 2021-09 0.070547\n", "500890 689009.XSHG 2021-10 0.092734\n", "500891 689009.XSHG 2021-11 0.097551\n", "500892 689009.XSHG 2021-12 0.084318\n", "500893 689009.XSHG 2022-01 0.097158\n", "500894 689009.XSHG 2022-02 0.103561\n", "500895 689009.XSHG 2022-03 0.108407\n", "\n", "[494110 rows x 3 columns]" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pb_df = pd.read_pickle('./data/pb_df.pkl')\n", "pb_df['tradeDate'] = pd.to_datetime(pb_df['tradeDate'])\n", "pb_df['PB'] = pd.to_numeric(pb_df['PB'])\n", "pb_df['ym'] = pb_df['tradeDate'].dt.to_period('M')\n", "pb_df.sort_values(['secID','tradeDate'],inplace=True)\n", "pb_df = pb_df.groupby(['secID','ym'],as_index=False).last()\n", "pb_df['bm'] = 1 / pb_df['PB']\n", "pb_df.drop(['tradeDate','PB'],axis=1,inplace=True)\n", "pb_df = pb_df[pb_df['bm'] >= 0]\n", "pb_df" ] }, { "cell_type": "markdown", "metadata": { "editable": true }, "source": [ "## Trading data" ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "editable": true }, "outputs": [], "source": [ "# stk_df = DataAPI.MktEqudAdjAfGet(secID=stk_id,beginDate=START,endDate=END,isOpen=1,\n", "# field=[\"secID\",\"tradeDate\",\n", "# 'preClosePrice',\"closePrice\",\n", "# \"negMarketValue\",\n", "# \"turnoverValue\",'turnoverRate'],pandas=\"1\")\n", "\n", "# stk_df.to_pickle('./data/stk_df.pkl')" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "editable": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(9934190, 7)\n", "(9535739, 7)\n" ] } ], "source": [ "stk_df = pd.read_pickle('./data/stk_df.pkl')\n", "stk_df['tradeDate'] = pd.to_datetime(stk_df['tradeDate'], format='%Y-%m-%d')\n", "stk_df.sort_values(['secID','tradeDate'],inplace=True)\n", "# drop ST stocks\n", "print(stk_df.shape)\n", "stk_df = pd.merge(stk_df, st_df, on=['secID','tradeDate'],how='left')\n", "stk_df = stk_df[stk_df['STflg'].isna()].copy()\n", "stk_df.drop('STflg',axis=1,inplace=True)\n", "print(stk_df.shape)" ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "editable": true }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
secIDtradeDatepreClosePriceclosePricenegMarketValueturnoverValueturnoverRate
85000001.XSHE2007-06-20824.193987.0074.835036e+104.182345e+090.0840
86000001.XSHE2007-06-21987.0071085.7405.318694e+102.285485e+090.0440
87000001.XSHE2007-06-221085.7401120.2335.487665e+102.761567e+090.0510
88000001.XSHE2007-06-251120.2331113.9045.456661e+102.324186e+090.0426
89000001.XSHE2007-06-271113.9041019.6024.994705e+102.446556e+090.0489
90000001.XSHE2007-06-281019.602953.7804.672266e+101.617434e+090.0336
91000001.XSHE2007-06-29953.780870.8704.266117e+101.410758e+090.0316
92000001.XSHE2007-07-02870.870867.0734.247515e+108.756147e+080.0209
........................
9934182900957.XSHG2022-03-030.6100.6141.120560e+084.576100e+040.0004
9934183900957.XSHG2022-03-040.6140.6111.115040e+083.987800e+040.0004
9934184900957.XSHG2022-03-070.6110.6051.104000e+081.825430e+050.0016
9934185900957.XSHG2022-03-080.6050.6041.102160e+081.612110e+050.0015
9934186900957.XSHG2022-03-090.6040.6001.094800e+081.285010e+050.0012
9934187900957.XSHG2022-03-100.6000.6051.104000e+087.845200e+040.0007
9934188900957.XSHG2022-03-110.6050.6061.105840e+087.993400e+040.0007
9934189900957.XSHG2022-03-140.6060.5941.083760e+081.005700e+050.0009
\n", "

9535739 rows × 7 columns

\n", "
" ], "text/plain": [ " secID tradeDate preClosePrice closePrice negMarketValue \\\n", "85 000001.XSHE 2007-06-20 824.193 987.007 4.835036e+10 \n", "86 000001.XSHE 2007-06-21 987.007 1085.740 5.318694e+10 \n", "87 000001.XSHE 2007-06-22 1085.740 1120.233 5.487665e+10 \n", "88 000001.XSHE 2007-06-25 1120.233 1113.904 5.456661e+10 \n", "89 000001.XSHE 2007-06-27 1113.904 1019.602 4.994705e+10 \n", "90 000001.XSHE 2007-06-28 1019.602 953.780 4.672266e+10 \n", "91 000001.XSHE 2007-06-29 953.780 870.870 4.266117e+10 \n", "92 000001.XSHE 2007-07-02 870.870 867.073 4.247515e+10 \n", "... ... ... ... ... ... \n", "9934182 900957.XSHG 2022-03-03 0.610 0.614 1.120560e+08 \n", "9934183 900957.XSHG 2022-03-04 0.614 0.611 1.115040e+08 \n", "9934184 900957.XSHG 2022-03-07 0.611 0.605 1.104000e+08 \n", "9934185 900957.XSHG 2022-03-08 0.605 0.604 1.102160e+08 \n", "9934186 900957.XSHG 2022-03-09 0.604 0.600 1.094800e+08 \n", "9934187 900957.XSHG 2022-03-10 0.600 0.605 1.104000e+08 \n", "9934188 900957.XSHG 2022-03-11 0.605 0.606 1.105840e+08 \n", "9934189 900957.XSHG 2022-03-14 0.606 0.594 1.083760e+08 \n", "\n", " turnoverValue turnoverRate \n", "85 4.182345e+09 0.0840 \n", "86 2.285485e+09 0.0440 \n", "87 2.761567e+09 0.0510 \n", "88 2.324186e+09 0.0426 \n", "89 2.446556e+09 0.0489 \n", "90 1.617434e+09 0.0336 \n", "91 1.410758e+09 0.0316 \n", "92 8.756147e+08 0.0209 \n", "... ... ... \n", "9934182 4.576100e+04 0.0004 \n", "9934183 3.987800e+04 0.0004 \n", "9934184 1.825430e+05 0.0016 \n", "9934185 1.612110e+05 0.0015 \n", "9934186 1.285010e+05 0.0012 \n", "9934187 7.845200e+04 0.0007 \n", "9934188 7.993400e+04 0.0007 \n", "9934189 1.005700e+05 0.0009 \n", "\n", "[9535739 rows x 7 columns]" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "stk_df" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "editable": true }, "outputs": [], "source": [ "# # If the trading days are required to be consecutive, fill missing days first. This could possibly produce a much larger df when using \n", "## daily data, and if the missing dates are a lot for some securities\n", "\n", "def fill_missing(df, full_dates, id_col='secID', date_col='tradeDate'):\n", " \"\"\"\n", " This function fills the missing dates for stocks.\n", " Parameters:\n", " df: The dataframe. Could be a sub-dataframe created by \"groupby\".\n", " The dataframe must be sorted on the \"date_col\".\n", " full_dates: the unique dates covering all securities in the full dataframe. \n", " Need to be sorted.\n", " id_col: the security id.\n", " date_col: the dates column for the security\n", " Returns:\n", " A dataframe with the missing dates filled with NA.\n", " \"\"\"\n", " stk_id = df[id_col].unique()\n", " # Newer version of pandas will allow comparison between \"Timestamp\" and \"datetime64\"\n", "# date_start = np.where(full_dates == df[date_col].min())[0][0] \n", "# date_end = np.where(full_dates == df[date_col].max())[0][0]\n", " date_start = np.where(full_dates == df[date_col].min().to_datetime64())[0][0] \n", " date_end = np.where(full_dates == df[date_col].max().to_datetime64())[0][0]\n", " dates = full_dates[date_start:date_end+1]\n", " idx = pd.MultiIndex.from_product([stk_id,dates],\n", " names=(id_col,date_col))\n", " df = df.set_index([id_col,date_col]).reindex(idx).reset_index()\n", " return df" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "editable": true }, "outputs": [], "source": [ "full_dates = np.sort(stk_df['tradeDate'].unique())" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "editable": true }, "outputs": [ { "data": { "text/plain": [ "array(['2007-01-04T00:00:00.000000000', '2007-01-05T00:00:00.000000000',\n", " '2007-01-08T00:00:00.000000000', ...,\n", " '2022-03-10T00:00:00.000000000', '2022-03-11T00:00:00.000000000',\n", " '2022-03-14T00:00:00.000000000'], dtype='datetime64[ns]')" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "full_dates" ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "editable": true }, "outputs": [], "source": [ "# %%time\n", "# stk_df = stk_df.groupby('secID').apply(fill_missing, full_dates=full_dates)" ] }, { "cell_type": "markdown", "metadata": { "editable": true }, "source": [ "## Amihud (2002) liquidity" ] }, { "cell_type": "markdown", "metadata": { "editable": true }, "source": [ "Amihud (2002)'s liquidity measure is perhaps the most widely known.\n", "\n", "$$ illiq_i = \\frac{1}{D} \\sum^D_{d=1} \\frac{|R_{i,d}|}{VOLD_{i,d}} $$\n", "\n", "VOLD: the dollar volume, measured as \"close_price * shares_traded\"\n", "\n", "Intuition: the effect of volume on moving prices. If a small volume moves price significantly (nonsignificantly), the stock is quite illiquid (liquid).\n", "\n", "Period choices: Amihud(2002) uses t-11 month through t month (12 months) daily data as the measure for month t. \n", "\n", "Let's use the two measures: \n", "- Amihud's original measure, but we do not stick to calendar month. Let's use 250 trading days.\n", "- a simple one: one-month daily data.\n", "\n", "Also, let's use the actual dollar volume within one day" ] }, { "cell_type": "markdown", "metadata": { "editable": true }, "source": [ "- Acharya and Pedersen (2005): liquidity should be positively correlated with contemporaneous returns, and negatively with future returns\n", "- 其他相关文献， Bali, Peng, Shen, and Tang (2014)，Chordia, Roll and Subrahmanyam (2000)\n", "- Pastor and Stambaugh (2003): Aggregate liquidity factor." ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "editable": true }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
secIDtradeDatepreClosePriceclosePricenegMarketValueturnoverValueturnoverRate
85000001.XSHE2007-06-20824.193987.0074.835036e+104.182345e+090.0840
86000001.XSHE2007-06-21987.0071085.7405.318694e+102.285485e+090.0440
87000001.XSHE2007-06-221085.7401120.2335.487665e+102.761567e+090.0510
88000001.XSHE2007-06-251120.2331113.9045.456661e+102.324186e+090.0426
89000001.XSHE2007-06-271113.9041019.6024.994705e+102.446556e+090.0489
90000001.XSHE2007-06-281019.602953.7804.672266e+101.617434e+090.0336
91000001.XSHE2007-06-29953.780870.8704.266117e+101.410758e+090.0316
92000001.XSHE2007-07-02870.870867.0734.247515e+108.756147e+080.0209
........................
9934182900957.XSHG2022-03-030.6100.6141.120560e+084.576100e+040.0004
9934183900957.XSHG2022-03-040.6140.6111.115040e+083.987800e+040.0004
9934184900957.XSHG2022-03-070.6110.6051.104000e+081.825430e+050.0016
9934185900957.XSHG2022-03-080.6050.6041.102160e+081.612110e+050.0015
9934186900957.XSHG2022-03-090.6040.6001.094800e+081.285010e+050.0012
9934187900957.XSHG2022-03-100.6000.6051.104000e+087.845200e+040.0007
9934188900957.XSHG2022-03-110.6050.6061.105840e+087.993400e+040.0007
9934189900957.XSHG2022-03-140.6060.5941.083760e+081.005700e+050.0009
\n", "

9535739 rows × 7 columns

\n", "
" ], "text/plain": [ " secID tradeDate preClosePrice closePrice negMarketValue \\\n", "85 000001.XSHE 2007-06-20 824.193 987.007 4.835036e+10 \n", "86 000001.XSHE 2007-06-21 987.007 1085.740 5.318694e+10 \n", "87 000001.XSHE 2007-06-22 1085.740 1120.233 5.487665e+10 \n", "88 000001.XSHE 2007-06-25 1120.233 1113.904 5.456661e+10 \n", "89 000001.XSHE 2007-06-27 1113.904 1019.602 4.994705e+10 \n", "90 000001.XSHE 2007-06-28 1019.602 953.780 4.672266e+10 \n", "91 000001.XSHE 2007-06-29 953.780 870.870 4.266117e+10 \n", "92 000001.XSHE 2007-07-02 870.870 867.073 4.247515e+10 \n", "... ... ... ... ... ... \n", "9934182 900957.XSHG 2022-03-03 0.610 0.614 1.120560e+08 \n", "9934183 900957.XSHG 2022-03-04 0.614 0.611 1.115040e+08 \n", "9934184 900957.XSHG 2022-03-07 0.611 0.605 1.104000e+08 \n", "9934185 900957.XSHG 2022-03-08 0.605 0.604 1.102160e+08 \n", "9934186 900957.XSHG 2022-03-09 0.604 0.600 1.094800e+08 \n", "9934187 900957.XSHG 2022-03-10 0.600 0.605 1.104000e+08 \n", "9934188 900957.XSHG 2022-03-11 0.605 0.606 1.105840e+08 \n", "9934189 900957.XSHG 2022-03-14 0.606 0.594 1.083760e+08 \n", "\n", " turnoverValue turnoverRate \n", "85 4.182345e+09 0.0840 \n", "86 2.285485e+09 0.0440 \n", "87 2.761567e+09 0.0510 \n", "88 2.324186e+09 0.0426 \n", "89 2.446556e+09 0.0489 \n", "90 1.617434e+09 0.0336 \n", "91 1.410758e+09 0.0316 \n", "92 8.756147e+08 0.0209 \n", "... ... ... \n", "9934182 4.576100e+04 0.0004 \n", "9934183 3.987800e+04 0.0004 \n", "9934184 1.825430e+05 0.0016 \n", "9934185 1.612110e+05 0.0015 \n", "9934186 1.285010e+05 0.0012 \n", "9934187 7.845200e+04 0.0007 \n", "9934188 7.993400e+04 0.0007 \n", "9934189 1.005700e+05 0.0009 \n", "\n", "[9535739 rows x 7 columns]" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ "stk_df" ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "editable": true }, "outputs": [], "source": [ "# stk_df.reset_index(drop=True, inplace=True)\n", "\n", "# stk_df['ret_daily'] = stk_df['closePrice'] / stk_df['preClosePrice'] - 1\n", "# stk_df['illiq_daily'] = abs(stk_df['ret_daily']) / stk_df['turnoverValue']\n", "\n", "# stk_df['ym'] = stk_df['tradeDate'].dt.to_period('M')\n", "\n", "# stk_df.to_pickle('./data/stk_df_filled.pkl')" ] }, { "cell_type": "code", "execution_count": 20, "metadata": { "editable": true }, "outputs": [], "source": [ "stk_df = pd.read_pickle('./data/stk_df_filled.pkl')" ] }, { "cell_type": "code", "execution_count": 21, "metadata": { "editable": true }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
secIDtradeDatepreClosePriceclosePricenegMarketValueturnoverValueturnoverRateret_dailyilliq_dailyym
0000001.XSHE2007-06-20824.193987.0074.835036e+104.182345e+090.08400.1975444.723272e-112007-06
1000001.XSHE2007-06-21987.0071085.7405.318694e+102.285485e+090.04400.1000334.376871e-112007-06
2000001.XSHE2007-06-221085.7401120.2335.487665e+102.761567e+090.05100.0317691.150402e-112007-06
3000001.XSHE2007-06-251120.2331113.9045.456661e+102.324186e+090.0426-0.0056502.430837e-122007-06
4000001.XSHE2007-06-26NaNNaNNaNNaNNaNNaNNaN2007-06
5000001.XSHE2007-06-271113.9041019.6024.994705e+102.446556e+090.0489-0.0846593.460334e-112007-06
6000001.XSHE2007-06-281019.602953.7804.672266e+101.617434e+090.0336-0.0645573.991295e-112007-06
7000001.XSHE2007-06-29953.780870.8704.266117e+101.410758e+090.0316-0.0869286.161781e-112007-06
.................................
10182920900957.XSHG2022-03-030.6100.6141.120560e+084.576100e+040.00040.0065571.432962e-072022-03
10182921900957.XSHG2022-03-040.6140.6111.115040e+083.987800e+040.0004-0.0048861.225235e-072022-03
10182922900957.XSHG2022-03-070.6110.6051.104000e+081.825430e+050.0016-0.0098205.379536e-082022-03
10182923900957.XSHG2022-03-080.6050.6041.102160e+081.612110e+050.0015-0.0016531.025298e-082022-03
10182924900957.XSHG2022-03-090.6040.6001.094800e+081.285010e+050.0012-0.0066235.153669e-082022-03
10182925900957.XSHG2022-03-100.6000.6051.104000e+087.845200e+040.00070.0083331.062221e-072022-03
10182926900957.XSHG2022-03-110.6050.6061.105840e+087.993400e+040.00070.0016532.067822e-082022-03
10182927900957.XSHG2022-03-140.6060.5941.083760e+081.005700e+050.0009-0.0198021.968975e-072022-03
\n", "

10182928 rows × 10 columns

\n", "
" ], "text/plain": [ " secID tradeDate preClosePrice closePrice negMarketValue \\\n", "0 000001.XSHE 2007-06-20 824.193 987.007 4.835036e+10 \n", "1 000001.XSHE 2007-06-21 987.007 1085.740 5.318694e+10 \n", "2 000001.XSHE 2007-06-22 1085.740 1120.233 5.487665e+10 \n", "3 000001.XSHE 2007-06-25 1120.233 1113.904 5.456661e+10 \n", "4 000001.XSHE 2007-06-26 NaN NaN NaN \n", "5 000001.XSHE 2007-06-27 1113.904 1019.602 4.994705e+10 \n", "6 000001.XSHE 2007-06-28 1019.602 953.780 4.672266e+10 \n", "7 000001.XSHE 2007-06-29 953.780 870.870 4.266117e+10 \n", "... ... ... ... ... ... \n", "10182920 900957.XSHG 2022-03-03 0.610 0.614 1.120560e+08 \n", "10182921 900957.XSHG 2022-03-04 0.614 0.611 1.115040e+08 \n", "10182922 900957.XSHG 2022-03-07 0.611 0.605 1.104000e+08 \n", "10182923 900957.XSHG 2022-03-08 0.605 0.604 1.102160e+08 \n", "10182924 900957.XSHG 2022-03-09 0.604 0.600 1.094800e+08 \n", "10182925 900957.XSHG 2022-03-10 0.600 0.605 1.104000e+08 \n", "10182926 900957.XSHG 2022-03-11 0.605 0.606 1.105840e+08 \n", "10182927 900957.XSHG 2022-03-14 0.606 0.594 1.083760e+08 \n", "\n", " turnoverValue turnoverRate ret_daily illiq_daily ym \n", "0 4.182345e+09 0.0840 0.197544 4.723272e-11 2007-06 \n", "1 2.285485e+09 0.0440 0.100033 4.376871e-11 2007-06 \n", "2 2.761567e+09 0.0510 0.031769 1.150402e-11 2007-06 \n", "3 2.324186e+09 0.0426 -0.005650 2.430837e-12 2007-06 \n", "4 NaN NaN NaN NaN 2007-06 \n", "5 2.446556e+09 0.0489 -0.084659 3.460334e-11 2007-06 \n", "6 1.617434e+09 0.0336 -0.064557 3.991295e-11 2007-06 \n", "7 1.410758e+09 0.0316 -0.086928 6.161781e-11 2007-06 \n", "... ... ... ... ... ... \n", "10182920 4.576100e+04 0.0004 0.006557 1.432962e-07 2022-03 \n", "10182921 3.987800e+04 0.0004 -0.004886 1.225235e-07 2022-03 \n", "10182922 1.825430e+05 0.0016 -0.009820 5.379536e-08 2022-03 \n", "10182923 1.612110e+05 0.0015 -0.001653 1.025298e-08 2022-03 \n", "10182924 1.285010e+05 0.0012 -0.006623 5.153669e-08 2022-03 \n", "10182925 7.845200e+04 0.0007 0.008333 1.062221e-07 2022-03 \n", "10182926 7.993400e+04 0.0007 0.001653 2.067822e-08 2022-03 \n", "10182927 1.005700e+05 0.0009 -0.019802 1.968975e-07 2022-03 \n", "\n", "[10182928 rows x 10 columns]" ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ "stk_df" ] }, { "cell_type": "code", "execution_count": 22, "metadata": { "editable": true }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
secIDtradeDatepreClosePriceclosePricenegMarketValueturnoverValueturnoverRateret_dailyilliq_dailyym
722000001.XSHE2010-06-01722.475713.8105.058718e+103.790589e+080.0075-0.0119933.164019e-112010-06
723000001.XSHE2010-06-02713.810710.9225.038249e+104.307207e+080.0086-0.0040469.393313e-122010-06
724000001.XSHE2010-06-03710.922710.5095.035325e+105.011432e+080.0098-0.0005811.159221e-122010-06
725000001.XSHE2010-06-04710.509713.8105.058718e+102.328248e+080.00460.0046461.995477e-112010-06
726000001.XSHE2010-06-07713.810697.7184.944677e+104.105509e+080.0083-0.0225445.491113e-112010-06
727000001.XSHE2010-06-08697.718689.0544.883271e+102.861562e+080.0058-0.0124184.339457e-112010-06
728000001.XSHE2010-06-09689.054729.0775.166910e+108.579786e+080.01700.0580846.769864e-112010-06
729000001.XSHE2010-06-10729.077705.9715.003160e+104.895630e+080.0097-0.0316926.473554e-112010-06
.................................
780000001.XSHE2010-08-25NaNNaNNaNNaNNaNNaNNaN2010-08
781000001.XSHE2010-08-26NaNNaNNaNNaNNaNNaNNaN2010-08
782000001.XSHE2010-08-27NaNNaNNaNNaNNaNNaNNaN2010-08
783000001.XSHE2010-08-30NaNNaNNaNNaNNaNNaNNaN2010-08
784000001.XSHE2010-08-31NaNNaNNaNNaNNaNNaNNaN2010-08
785000001.XSHE2010-09-01NaNNaNNaNNaNNaNNaNNaN2010-09
786000001.XSHE2010-09-02722.475750.5325.648664e+102.984709e+090.05260.0388351.301117e-112010-09
787000001.XSHE2010-09-03750.532732.7905.515133e+101.110874e+090.0201-0.0236392.127986e-112010-09
\n", "

66 rows × 10 columns

\n", "
" ], "text/plain": [ " secID tradeDate preClosePrice closePrice negMarketValue \\\n", "722 000001.XSHE 2010-06-01 722.475 713.810 5.058718e+10 \n", "723 000001.XSHE 2010-06-02 713.810 710.922 5.038249e+10 \n", "724 000001.XSHE 2010-06-03 710.922 710.509 5.035325e+10 \n", "725 000001.XSHE 2010-06-04 710.509 713.810 5.058718e+10 \n", "726 000001.XSHE 2010-06-07 713.810 697.718 4.944677e+10 \n", "727 000001.XSHE 2010-06-08 697.718 689.054 4.883271e+10 \n", "728 000001.XSHE 2010-06-09 689.054 729.077 5.166910e+10 \n", "729 000001.XSHE 2010-06-10 729.077 705.971 5.003160e+10 \n", ".. ... ... ... ... ... \n", "780 000001.XSHE 2010-08-25 NaN NaN NaN \n", "781 000001.XSHE 2010-08-26 NaN NaN NaN \n", "782 000001.XSHE 2010-08-27 NaN NaN NaN \n", "783 000001.XSHE 2010-08-30 NaN NaN NaN \n", "784 000001.XSHE 2010-08-31 NaN NaN NaN \n", "785 000001.XSHE 2010-09-01 NaN NaN NaN \n", "786 000001.XSHE 2010-09-02 722.475 750.532 5.648664e+10 \n", "787 000001.XSHE 2010-09-03 750.532 732.790 5.515133e+10 \n", "\n", " turnoverValue turnoverRate ret_daily illiq_daily ym \n", "722 3.790589e+08 0.0075 -0.011993 3.164019e-11 2010-06 \n", "723 4.307207e+08 0.0086 -0.004046 9.393313e-12 2010-06 \n", "724 5.011432e+08 0.0098 -0.000581 1.159221e-12 2010-06 \n", "725 2.328248e+08 0.0046 0.004646 1.995477e-11 2010-06 \n", "726 4.105509e+08 0.0083 -0.022544 5.491113e-11 2010-06 \n", "727 2.861562e+08 0.0058 -0.012418 4.339457e-11 2010-06 \n", "728 8.579786e+08 0.0170 0.058084 6.769864e-11 2010-06 \n", "729 4.895630e+08 0.0097 -0.031692 6.473554e-11 2010-06 \n", ".. ... ... ... ... ... \n", "780 NaN NaN NaN NaN 2010-08 \n", "781 NaN NaN NaN NaN 2010-08 \n", "782 NaN NaN NaN NaN 2010-08 \n", "783 NaN NaN NaN NaN 2010-08 \n", "784 NaN NaN NaN NaN 2010-08 \n", "785 NaN NaN NaN NaN 2010-09 \n", "786 2.984709e+09 0.0526 0.038835 1.301117e-11 2010-09 \n", "787 1.110874e+09 0.0201 -0.023639 2.127986e-11 2010-09 \n", "\n", "[66 rows x 10 columns]" ] }, "execution_count": 22, "metadata": {}, "output_type": "execute_result" } ], "source": [ "stk_df[(stk_df['secID']=='000001.XSHE') & (stk_df['tradeDate']>='2010-06-01') & (stk_df['tradeDate']<='2010-09-05')]" ] }, { "cell_type": "markdown", "metadata": { "editable": true }, "source": [ "### Monthly trading data" ] }, { "cell_type": "code", "execution_count": 23, "metadata": { "editable": true }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
secIDymclosePricemktcapturnoverValueturnoverRateret_dailyilliq_dailyretsizerfexret
0000001.XSHE2007-06870.8704.266117e+101.410758e+090.0316-0.0869286.161781e-11NaN24.4765550.002542NaN
1391000001.XSHE2007-071146.4985.616330e+101.479466e+090.02700.0593564.012016e-110.31649724.7515290.0024810.314016
2790000001.XSHE2007-081202.5105.890714e+106.552881e+080.01120.0079581.214425e-110.04885524.7992280.0024040.046451
4215000001.XSHE2007-091265.1676.197651e+101.408136e+090.02280.0301472.140927e-110.05210524.8500210.0026210.049484
5655000001.XSHE2007-101520.5427.448652e+101.440425e+090.02000.0654104.541049e-110.20185125.0338840.0030950.198756
7101000001.XSHE2007-111141.7515.593078e+105.452159e+080.0096-0.0261814.801976e-11-0.24911624.7473810.003780-0.252896
8563000001.XSHE2007-121221.4976.574629e+101.019671e+090.0154-0.0102561.005854e-110.06984524.9090690.0030110.066834
10047000001.XSHE2008-011053.7785.850212e+105.328429e+080.0089-0.0191463.593101e-11-0.13730624.7923290.002949-0.140255
.......................................
469360900957.XSHG2021-080.6121.116880e+083.033640e+050.0027-0.0223647.372074e-08-0.05846218.5312200.001941-0.060402
473762900957.XSHG2021-090.6671.218080e+082.086830e+050.00170.0183218.779158e-080.08986918.6179570.0020330.087837
478193900957.XSHG2021-100.6401.168400e+086.162200e+040.00050.0062891.020627e-07-0.04048018.5763160.001998-0.042478
482656900957.XSHG2021-110.6141.120560e+081.161060e+050.0010-0.0144461.244228e-07-0.04062518.5345090.001963-0.042588
487164900957.XSHG2021-120.6361.161040e+081.059960e+050.00090.0015751.485719e-080.03583118.5699970.0020260.033805
491702900957.XSHG2022-010.6221.135280e+081.319240e+050.00120.0081046.142724e-08-0.02201318.5475600.002014-0.024027
496253900957.XSHG2022-020.6151.122400e+089.851400e+040.0009-0.0016231.647864e-08-0.01125418.5361500.001921-0.013175
500813900957.XSHG2022-030.5941.083760e+081.005700e+050.0009-0.0198021.968975e-07-0.03414618.5011170.001919-0.036066
\n", "

507467 rows × 12 columns

\n", "
" ], "text/plain": [ " secID ym closePrice mktcap turnoverValue \\\n", "0 000001.XSHE 2007-06 870.870 4.266117e+10 1.410758e+09 \n", "1391 000001.XSHE 2007-07 1146.498 5.616330e+10 1.479466e+09 \n", "2790 000001.XSHE 2007-08 1202.510 5.890714e+10 6.552881e+08 \n", "4215 000001.XSHE 2007-09 1265.167 6.197651e+10 1.408136e+09 \n", "5655 000001.XSHE 2007-10 1520.542 7.448652e+10 1.440425e+09 \n", "7101 000001.XSHE 2007-11 1141.751 5.593078e+10 5.452159e+08 \n", "8563 000001.XSHE 2007-12 1221.497 6.574629e+10 1.019671e+09 \n", "10047 000001.XSHE 2008-01 1053.778 5.850212e+10 5.328429e+08 \n", "... ... ... ... ... ... \n", "469360 900957.XSHG 2021-08 0.612 1.116880e+08 3.033640e+05 \n", "473762 900957.XSHG 2021-09 0.667 1.218080e+08 2.086830e+05 \n", "478193 900957.XSHG 2021-10 0.640 1.168400e+08 6.162200e+04 \n", "482656 900957.XSHG 2021-11 0.614 1.120560e+08 1.161060e+05 \n", "487164 900957.XSHG 2021-12 0.636 1.161040e+08 1.059960e+05 \n", "491702 900957.XSHG 2022-01 0.622 1.135280e+08 1.319240e+05 \n", "496253 900957.XSHG 2022-02 0.615 1.122400e+08 9.851400e+04 \n", "500813 900957.XSHG 2022-03 0.594 1.083760e+08 1.005700e+05 \n", "\n", " turnoverRate ret_daily illiq_daily ret size rf \\\n", "0 0.0316 -0.086928 6.161781e-11 NaN 24.476555 0.002542 \n", "1391 0.0270 0.059356 4.012016e-11 0.316497 24.751529 0.002481 \n", "2790 0.0112 0.007958 1.214425e-11 0.048855 24.799228 0.002404 \n", "4215 0.0228 0.030147 2.140927e-11 0.052105 24.850021 0.002621 \n", "5655 0.0200 0.065410 4.541049e-11 0.201851 25.033884 0.003095 \n", "7101 0.0096 -0.026181 4.801976e-11 -0.249116 24.747381 0.003780 \n", "8563 0.0154 -0.010256 1.005854e-11 0.069845 24.909069 0.003011 \n", "10047 0.0089 -0.019146 3.593101e-11 -0.137306 24.792329 0.002949 \n", "... ... ... ... ... ... ... \n", "469360 0.0027 -0.022364 7.372074e-08 -0.058462 18.531220 0.001941 \n", "473762 0.0017 0.018321 8.779158e-08 0.089869 18.617957 0.002033 \n", "478193 0.0005 0.006289 1.020627e-07 -0.040480 18.576316 0.001998 \n", "482656 0.0010 -0.014446 1.244228e-07 -0.040625 18.534509 0.001963 \n", "487164 0.0009 0.001575 1.485719e-08 0.035831 18.569997 0.002026 \n", "491702 0.0012 0.008104 6.142724e-08 -0.022013 18.547560 0.002014 \n", "496253 0.0009 -0.001623 1.647864e-08 -0.011254 18.536150 0.001921 \n", "500813 0.0009 -0.019802 1.968975e-07 -0.034146 18.501117 0.001919 \n", "\n", " exret \n", "0 NaN \n", "1391 0.314016 \n", "2790 0.046451 \n", "4215 0.049484 \n", "5655 0.198756 \n", "7101 -0.252896 \n", "8563 0.066834 \n", "10047 -0.140255 \n", "... ... \n", "469360 -0.060402 \n", "473762 0.087837 \n", "478193 -0.042478 \n", "482656 -0.042588 \n", "487164 0.033805 \n", "491702 -0.024027 \n", "496253 -0.013175 \n", "500813 -0.036066 \n", "\n", "[507467 rows x 12 columns]" ] }, "execution_count": 23, "metadata": {}, "output_type": "execute_result" } ], "source": [ "stk_df_m = stk_df.groupby(['secID','ym'],as_index=False).last()\n", "stk_df_m['ret'] = stk_df_m.groupby('secID')['closePrice'].apply(lambda x: x / x.shift() - 1)\n", "stk_df_m['size'] = np.log(stk_df_m['negMarketValue'])\n", "stk_df_m.drop(['tradeDate','preClosePrice'],axis=1,inplace=True)\n", "stk_df_m = pd.merge(stk_df_m, shibor_df_m, on='ym')\n", "stk_df_m['exret'] = stk_df_m['ret'] - stk_df_m['rf']\n", "stk_df_m.sort_values(['secID','ym'],inplace=True)\n", "stk_df_m.rename(columns={'negMarketValue':'mktcap'},inplace=True)\n", "stk_df_m" ] }, { "cell_type": "markdown", "metadata": { "editable": true }, "source": [ "### Momentum and reversal" ] }, { "cell_type": "markdown", "metadata": { "editable": true }, "source": [ "#### Using unfilled data " ] }, { "cell_type": "code", "execution_count": 24, "metadata": { "editable": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(9934190, 8)\n", "(9535739, 8)\n" ] } ], "source": [ "stk_unfilled_df = pd.read_pickle('./data/stk_df.pkl')\n", "stk_unfilled_df['tradeDate'] = pd.to_datetime(stk_unfilled_df['tradeDate'], format='%Y-%m-%d')\n", "stk_unfilled_df['ym'] = stk_unfilled_df['tradeDate'].dt.to_period('M')\n", "stk_unfilled_df.sort_values(['secID','tradeDate'],inplace=True)\n", "# drop ST stocks\n", "print(stk_unfilled_df.shape)\n", "stk_unfilled_df = pd.merge(stk_unfilled_df, st_df, on=['secID','tradeDate'],how='left')\n", "stk_unfilled_df = stk_unfilled_df[stk_unfilled_df['STflg'].isna()].copy()\n", "stk_unfilled_df.drop('STflg',axis=1,inplace=True)\n", "print(stk_unfilled_df.shape)\n", "# Monthly\n", "stk_unfilled_df_m = stk_unfilled_df.groupby(['secID','ym'],as_index=False).last()" ] }, { "cell_type": "code", "execution_count": 25, "metadata": { "editable": true }, "outputs": [], "source": [ "stk_unfilled_df_m['ret_mom'] = stk_unfilled_df_m.groupby('secID')['closePrice'].apply(lambda x: x / x.shift() - 1) #这个ret_mom不用作后面ret的计算，后面仍保留monthly ret\n", "stk_unfilled_df_m.sort_values(['secID','ym'],inplace=True)" ] }, { "cell_type": "code", "execution_count": 26, "metadata": { "editable": true }, "outputs": [], "source": [ "stk_unfilled_df_m['1+ret_mom'] = stk_unfilled_df_m['ret_mom'] + 1" ] }, { "cell_type": "code", "execution_count": 27, "metadata": { "editable": true }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
secIDymtradeDatepreClosePriceclosePricenegMarketValueturnoverValueturnoverRateret_mom1+ret_mom
0000001.XSHE2007-062007-06-29953.780870.8704.266117e+101.410758e+090.0316NaNNaN
1000001.XSHE2007-072007-07-311082.2591146.4985.616330e+101.479466e+090.02700.3164971.316497
2000001.XSHE2007-082007-08-311193.0161202.5105.890714e+106.552881e+080.01120.0488551.048855
3000001.XSHE2007-092007-09-281228.1421265.1676.197651e+101.408136e+090.02280.0521051.052105
4000001.XSHE2007-102007-10-311427.1891520.5427.448652e+101.440425e+090.02000.2018511.201851
5000001.XSHE2007-112007-11-301172.4471141.7515.593078e+105.452159e+080.0096-0.2491160.750884
6000001.XSHE2007-122007-12-281234.1551221.4976.574629e+101.019671e+090.01540.0698451.069845
7000001.XSHE2008-012008-01-311074.3471053.7785.850212e+105.328429e+080.0089-0.1373060.862694
.................................
484445900957.XSHG2021-082021-08-310.6260.6121.116880e+083.033640e+050.0027-0.0584620.941538
484446900957.XSHG2021-092021-09-300.6550.6671.218080e+082.086830e+050.00170.0898691.089869
484447900957.XSHG2021-102021-10-290.6360.6401.168400e+086.162200e+040.0005-0.0404800.959520
484448900957.XSHG2021-112021-11-300.6230.6141.120560e+081.161060e+050.0010-0.0406250.959375
484449900957.XSHG2021-122021-12-310.6350.6361.161040e+081.059960e+050.00090.0358311.035831
484450900957.XSHG2022-012022-01-280.6170.6221.135280e+081.319240e+050.0012-0.0220130.977987
484451900957.XSHG2022-022022-02-280.6160.6151.122400e+089.851400e+040.0009-0.0112540.988746
484452900957.XSHG2022-032022-03-140.6060.5941.083760e+081.005700e+050.0009-0.0341460.965854
\n", "

484453 rows × 10 columns

\n", "
" ], "text/plain": [ " secID ym tradeDate preClosePrice closePrice \\\n", "0 000001.XSHE 2007-06 2007-06-29 953.780 870.870 \n", "1 000001.XSHE 2007-07 2007-07-31 1082.259 1146.498 \n", "2 000001.XSHE 2007-08 2007-08-31 1193.016 1202.510 \n", "3 000001.XSHE 2007-09 2007-09-28 1228.142 1265.167 \n", "4 000001.XSHE 2007-10 2007-10-31 1427.189 1520.542 \n", "5 000001.XSHE 2007-11 2007-11-30 1172.447 1141.751 \n", "6 000001.XSHE 2007-12 2007-12-28 1234.155 1221.497 \n", "7 000001.XSHE 2008-01 2008-01-31 1074.347 1053.778 \n", "... ... ... ... ... ... \n", "484445 900957.XSHG 2021-08 2021-08-31 0.626 0.612 \n", "484446 900957.XSHG 2021-09 2021-09-30 0.655 0.667 \n", "484447 900957.XSHG 2021-10 2021-10-29 0.636 0.640 \n", "484448 900957.XSHG 2021-11 2021-11-30 0.623 0.614 \n", "484449 900957.XSHG 2021-12 2021-12-31 0.635 0.636 \n", "484450 900957.XSHG 2022-01 2022-01-28 0.617 0.622 \n", "484451 900957.XSHG 2022-02 2022-02-28 0.616 0.615 \n", "484452 900957.XSHG 2022-03 2022-03-14 0.606 0.594 \n", "\n", " negMarketValue turnoverValue turnoverRate ret_mom 1+ret_mom \n", "0 4.266117e+10 1.410758e+09 0.0316 NaN NaN \n", "1 5.616330e+10 1.479466e+09 0.0270 0.316497 1.316497 \n", "2 5.890714e+10 6.552881e+08 0.0112 0.048855 1.048855 \n", "3 6.197651e+10 1.408136e+09 0.0228 0.052105 1.052105 \n", "4 7.448652e+10 1.440425e+09 0.0200 0.201851 1.201851 \n", "5 5.593078e+10 5.452159e+08 0.0096 -0.249116 0.750884 \n", "6 6.574629e+10 1.019671e+09 0.0154 0.069845 1.069845 \n", "7 5.850212e+10 5.328429e+08 0.0089 -0.137306 0.862694 \n", "... ... ... ... ... ... \n", "484445 1.116880e+08 3.033640e+05 0.0027 -0.058462 0.941538 \n", "484446 1.218080e+08 2.086830e+05 0.0017 0.089869 1.089869 \n", "484447 1.168400e+08 6.162200e+04 0.0005 -0.040480 0.959520 \n", "484448 1.120560e+08 1.161060e+05 0.0010 -0.040625 0.959375 \n", "484449 1.161040e+08 1.059960e+05 0.0009 0.035831 1.035831 \n", "484450 1.135280e+08 1.319240e+05 0.0012 -0.022013 0.977987 \n", "484451 1.122400e+08 9.851400e+04 0.0009 -0.011254 0.988746 \n", "484452 1.083760e+08 1.005700e+05 0.0009 -0.034146 0.965854 \n", "\n", "[484453 rows x 10 columns]" ] }, "execution_count": 27, "metadata": {}, "output_type": "execute_result" } ], "source": [ "stk_unfilled_df_m" ] }, { "cell_type": "code", "execution_count": 28, "metadata": { "editable": true }, "outputs": [], "source": [ "stk_unfilled_df_m['mom'] = stk_unfilled_df_m.groupby('secID').rolling(11,min_periods=9)['1+ret_mom'].apply(np.prod, raw=True).values - 1" ] }, { "cell_type": "code", "execution_count": 29, "metadata": { "editable": true }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
secIDymtradeDatepreClosePriceclosePricenegMarketValueturnoverValueturnoverRateret_mom1+ret_mommom
0000001.XSHE2007-062007-06-29953.780870.8704.266117e+101.410758e+090.0316NaNNaNNaN
1000001.XSHE2007-072007-07-311082.2591146.4985.616330e+101.479466e+090.02700.3164971.316497NaN
2000001.XSHE2007-082007-08-311193.0161202.5105.890714e+106.552881e+080.01120.0488551.048855NaN
3000001.XSHE2007-092007-09-281228.1421265.1676.197651e+101.408136e+090.02280.0521051.052105NaN
4000001.XSHE2007-102007-10-311427.1891520.5427.448652e+101.440425e+090.02000.2018511.201851NaN
5000001.XSHE2007-112007-11-301172.4471141.7515.593078e+105.452159e+080.0096-0.2491160.750884NaN
6000001.XSHE2007-122007-12-281234.1551221.4976.574629e+101.019671e+090.01540.0698451.069845NaN
7000001.XSHE2008-012008-01-311074.3471053.7785.850212e+105.328429e+080.0089-0.1373060.862694NaN
....................................
484445900957.XSHG2021-082021-08-310.6260.6121.116880e+083.033640e+050.0027-0.0584620.9415380.186047
484446900957.XSHG2021-092021-09-300.6550.6671.218080e+082.086830e+050.00170.0898691.0898690.285164
484447900957.XSHG2021-102021-10-290.6360.6401.168400e+086.162200e+040.0005-0.0404800.9595200.216730
484448900957.XSHG2021-112021-11-300.6230.6141.120560e+081.161060e+050.0010-0.0406250.9593750.211045
484449900957.XSHG2021-122021-12-310.6350.6361.161040e+081.059960e+050.00090.0358311.035831-0.059172
484450900957.XSHG2022-012022-01-280.6170.6221.135280e+081.319240e+050.0012-0.0220130.977987-0.157182
484451900957.XSHG2022-022022-02-280.6160.6151.122400e+089.851400e+040.0009-0.0112540.988746-0.117647
484452900957.XSHG2022-032022-03-140.6060.5941.083760e+081.005700e+050.0009-0.0341460.965854-0.054140
\n", "

484453 rows × 11 columns

\n", "
" ], "text/plain": [ " secID ym tradeDate preClosePrice closePrice \\\n", "0 000001.XSHE 2007-06 2007-06-29 953.780 870.870 \n", "1 000001.XSHE 2007-07 2007-07-31 1082.259 1146.498 \n", "2 000001.XSHE 2007-08 2007-08-31 1193.016 1202.510 \n", "3 000001.XSHE 2007-09 2007-09-28 1228.142 1265.167 \n", "4 000001.XSHE 2007-10 2007-10-31 1427.189 1520.542 \n", "5 000001.XSHE 2007-11 2007-11-30 1172.447 1141.751 \n", "6 000001.XSHE 2007-12 2007-12-28 1234.155 1221.497 \n", "7 000001.XSHE 2008-01 2008-01-31 1074.347 1053.778 \n", "... ... ... ... ... ... \n", "484445 900957.XSHG 2021-08 2021-08-31 0.626 0.612 \n", "484446 900957.XSHG 2021-09 2021-09-30 0.655 0.667 \n", "484447 900957.XSHG 2021-10 2021-10-29 0.636 0.640 \n", "484448 900957.XSHG 2021-11 2021-11-30 0.623 0.614 \n", "484449 900957.XSHG 2021-12 2021-12-31 0.635 0.636 \n", "484450 900957.XSHG 2022-01 2022-01-28 0.617 0.622 \n", "484451 900957.XSHG 2022-02 2022-02-28 0.616 0.615 \n", "484452 900957.XSHG 2022-03 2022-03-14 0.606 0.594 \n", "\n", " negMarketValue turnoverValue turnoverRate ret_mom 1+ret_mom \\\n", "0 4.266117e+10 1.410758e+09 0.0316 NaN NaN \n", "1 5.616330e+10 1.479466e+09 0.0270 0.316497 1.316497 \n", "2 5.890714e+10 6.552881e+08 0.0112 0.048855 1.048855 \n", "3 6.197651e+10 1.408136e+09 0.0228 0.052105 1.052105 \n", "4 7.448652e+10 1.440425e+09 0.0200 0.201851 1.201851 \n", "5 5.593078e+10 5.452159e+08 0.0096 -0.249116 0.750884 \n", "6 6.574629e+10 1.019671e+09 0.0154 0.069845 1.069845 \n", "7 5.850212e+10 5.328429e+08 0.0089 -0.137306 0.862694 \n", "... ... ... ... ... ... \n", "484445 1.116880e+08 3.033640e+05 0.0027 -0.058462 0.941538 \n", "484446 1.218080e+08 2.086830e+05 0.0017 0.089869 1.089869 \n", "484447 1.168400e+08 6.162200e+04 0.0005 -0.040480 0.959520 \n", "484448 1.120560e+08 1.161060e+05 0.0010 -0.040625 0.959375 \n", "484449 1.161040e+08 1.059960e+05 0.0009 0.035831 1.035831 \n", "484450 1.135280e+08 1.319240e+05 0.0012 -0.022013 0.977987 \n", "484451 1.122400e+08 9.851400e+04 0.0009 -0.011254 0.988746 \n", "484452 1.083760e+08 1.005700e+05 0.0009 -0.034146 0.965854 \n", "\n", " mom \n", "0 NaN \n", "1 NaN \n", "2 NaN \n", "3 NaN \n", "4 NaN \n", "5 NaN \n", "6 NaN \n", "7 NaN \n", "... ... \n", "484445 0.186047 \n", "484446 0.285164 \n", "484447 0.216730 \n", "484448 0.211045 \n", "484449 -0.059172 \n", "484450 -0.157182 \n", "484451 -0.117647 \n", "484452 -0.054140 \n", "\n", "[484453 rows x 11 columns]" ] }, "execution_count": 29, "metadata": {}, "output_type": "execute_result" } ], "source": [ "stk_unfilled_df_m" ] }, { "cell_type": "code", "execution_count": 30, "metadata": { "editable": true }, "outputs": [], "source": [ "stk_df_m = pd.merge(stk_df_m, stk_unfilled_df_m[['secID','ym','1+ret_mom']],on=['secID','ym'],how='left')" ] }, { "cell_type": "code", "execution_count": 31, "metadata": { "editable": true }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
secIDymclosePricemktcapturnoverValueturnoverRateret_dailyilliq_dailyretsizerfexret1+ret_mom
36000001.XSHE2010-06722.4755.437499e+10549134850.00.0099-0.0530019.651729e-110.00000024.7191700.003236-0.0032361.000000
37000001.XSHE2010-07NaNNaNNaNNaNNaNNaNNaNNaN0.001798NaNNaN
38000001.XSHE2010-08NaNNaNNaNNaNNaNNaNNaNNaN0.002369NaNNaN
39000001.XSHE2010-09669.2495.036906e+10347260768.00.0069-0.0024597.082247e-12NaN24.6426430.002922NaN0.926328
40000001.XSHE2010-10759.6105.716982e+10663509380.00.0115-0.0191782.890457e-110.13501924.7692920.0022140.1328051.135019
\n", "
" ], "text/plain": [ " secID ym closePrice mktcap turnoverValue \\\n", "36 000001.XSHE 2010-06 722.475 5.437499e+10 549134850.0 \n", "37 000001.XSHE 2010-07 NaN NaN NaN \n", "38 000001.XSHE 2010-08 NaN NaN NaN \n", "39 000001.XSHE 2010-09 669.249 5.036906e+10 347260768.0 \n", "40 000001.XSHE 2010-10 759.610 5.716982e+10 663509380.0 \n", "\n", " turnoverRate ret_daily illiq_daily ret size rf \\\n", "36 0.0099 -0.053001 9.651729e-11 0.000000 24.719170 0.003236 \n", "37 NaN NaN NaN NaN NaN 0.001798 \n", "38 NaN NaN NaN NaN NaN 0.002369 \n", "39 0.0069 -0.002459 7.082247e-12 NaN 24.642643 0.002922 \n", "40 0.0115 -0.019178 2.890457e-11 0.135019 24.769292 0.002214 \n", "\n", " exret 1+ret_mom \n", "36 -0.003236 1.000000 \n", "37 NaN NaN \n", "38 NaN NaN \n", "39 NaN 0.926328 \n", "40 0.132805 1.135019 " ] }, "execution_count": 31, "metadata": {}, "output_type": "execute_result" } ], "source": [ "stk_df_m[(stk_df_m['secID']=='000001.XSHE') & (stk_df_m['ym']>='2010-06') & (stk_df_m['ym']<='2010-10')]" ] }, { "cell_type": "code", "execution_count": 32, "metadata": { "editable": true }, "outputs": [], "source": [ "stk_df_m.loc[stk_df_m['1+ret_mom'].isna(),'1+ret_mom'] = 1 # 缺失位置填充为1，以便连乘。" ] }, { "cell_type": "code", "execution_count": 33, "metadata": { "editable": true }, "outputs": [], "source": [ "stk_df_m['mom'] = stk_df_m.groupby('secID').rolling(11,min_periods=11)['1+ret_mom'].apply(np.prod, raw=True).values - 1 " ] }, { "cell_type": "code", "execution_count": 34, "metadata": { "editable": true }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
secIDymclosePricemktcapturnoverValueturnoverRateret_dailyilliq_dailyretsizerfexret1+ret_mommom
0000001.XSHE2007-06870.8704.266117e+101.410758e+090.0316-0.0869286.161781e-11NaN24.4765550.002542NaN1.000000NaN
1000001.XSHE2007-071146.4985.616330e+101.479466e+090.02700.0593564.012016e-110.31649724.7515290.0024810.3140161.316497NaN
2000001.XSHE2007-081202.5105.890714e+106.552881e+080.01120.0079581.214425e-110.04885524.7992280.0024040.0464511.048855NaN
3000001.XSHE2007-091265.1676.197651e+101.408136e+090.02280.0301472.140927e-110.05210524.8500210.0026210.0494841.052105NaN
4000001.XSHE2007-101520.5427.448652e+101.440425e+090.02000.0654104.541049e-110.20185125.0338840.0030950.1987561.201851NaN
5000001.XSHE2007-111141.7515.593078e+105.452159e+080.0096-0.0261814.801976e-11-0.24911624.7473810.003780-0.2528960.750884NaN
6000001.XSHE2007-121221.4976.574629e+101.019671e+090.0154-0.0102561.005854e-110.06984524.9090690.0030110.0668341.069845NaN
7000001.XSHE2008-011053.7785.850212e+105.328429e+080.0089-0.0191463.593101e-11-0.13730624.7923290.002949-0.1402550.862694NaN
.............................................
507459900957.XSHG2021-080.6121.116880e+083.033640e+050.0027-0.0223647.372074e-08-0.05846218.5312200.001941-0.0604020.9415380.186047
507460900957.XSHG2021-090.6671.218080e+082.086830e+050.00170.0183218.779158e-080.08986918.6179570.0020330.0878371.0898690.285164
507461900957.XSHG2021-100.6401.168400e+086.162200e+040.00050.0062891.020627e-07-0.04048018.5763160.001998-0.0424780.9595200.216730
507462900957.XSHG2021-110.6141.120560e+081.161060e+050.0010-0.0144461.244228e-07-0.04062518.5345090.001963-0.0425880.9593750.211045
507463900957.XSHG2021-120.6361.161040e+081.059960e+050.00090.0015751.485719e-080.03583118.5699970.0020260.0338051.035831-0.059172
507464900957.XSHG2022-010.6221.135280e+081.319240e+050.00120.0081046.142724e-08-0.02201318.5475600.002014-0.0240270.977987-0.157182
507465900957.XSHG2022-020.6151.122400e+089.851400e+040.0009-0.0016231.647864e-08-0.01125418.5361500.001921-0.0131750.988746-0.117647
507466900957.XSHG2022-030.5941.083760e+081.005700e+050.0009-0.0198021.968975e-07-0.03414618.5011170.001919-0.0360660.965854-0.054140
\n", "

507467 rows × 14 columns

\n", "
" ], "text/plain": [ " secID ym closePrice mktcap turnoverValue \\\n", "0 000001.XSHE 2007-06 870.870 4.266117e+10 1.410758e+09 \n", "1 000001.XSHE 2007-07 1146.498 5.616330e+10 1.479466e+09 \n", "2 000001.XSHE 2007-08 1202.510 5.890714e+10 6.552881e+08 \n", "3 000001.XSHE 2007-09 1265.167 6.197651e+10 1.408136e+09 \n", "4 000001.XSHE 2007-10 1520.542 7.448652e+10 1.440425e+09 \n", "5 000001.XSHE 2007-11 1141.751 5.593078e+10 5.452159e+08 \n", "6 000001.XSHE 2007-12 1221.497 6.574629e+10 1.019671e+09 \n", "7 000001.XSHE 2008-01 1053.778 5.850212e+10 5.328429e+08 \n", "... ... ... ... ... ... \n", "507459 900957.XSHG 2021-08 0.612 1.116880e+08 3.033640e+05 \n", "507460 900957.XSHG 2021-09 0.667 1.218080e+08 2.086830e+05 \n", "507461 900957.XSHG 2021-10 0.640 1.168400e+08 6.162200e+04 \n", "507462 900957.XSHG 2021-11 0.614 1.120560e+08 1.161060e+05 \n", "507463 900957.XSHG 2021-12 0.636 1.161040e+08 1.059960e+05 \n", "507464 900957.XSHG 2022-01 0.622 1.135280e+08 1.319240e+05 \n", "507465 900957.XSHG 2022-02 0.615 1.122400e+08 9.851400e+04 \n", "507466 900957.XSHG 2022-03 0.594 1.083760e+08 1.005700e+05 \n", "\n", " turnoverRate ret_daily illiq_daily ret size rf \\\n", "0 0.0316 -0.086928 6.161781e-11 NaN 24.476555 0.002542 \n", "1 0.0270 0.059356 4.012016e-11 0.316497 24.751529 0.002481 \n", "2 0.0112 0.007958 1.214425e-11 0.048855 24.799228 0.002404 \n", "3 0.0228 0.030147 2.140927e-11 0.052105 24.850021 0.002621 \n", "4 0.0200 0.065410 4.541049e-11 0.201851 25.033884 0.003095 \n", "5 0.0096 -0.026181 4.801976e-11 -0.249116 24.747381 0.003780 \n", "6 0.0154 -0.010256 1.005854e-11 0.069845 24.909069 0.003011 \n", "7 0.0089 -0.019146 3.593101e-11 -0.137306 24.792329 0.002949 \n", "... ... ... ... ... ... ... \n", "507459 0.0027 -0.022364 7.372074e-08 -0.058462 18.531220 0.001941 \n", "507460 0.0017 0.018321 8.779158e-08 0.089869 18.617957 0.002033 \n", "507461 0.0005 0.006289 1.020627e-07 -0.040480 18.576316 0.001998 \n", "507462 0.0010 -0.014446 1.244228e-07 -0.040625 18.534509 0.001963 \n", "507463 0.0009 0.001575 1.485719e-08 0.035831 18.569997 0.002026 \n", "507464 0.0012 0.008104 6.142724e-08 -0.022013 18.547560 0.002014 \n", "507465 0.0009 -0.001623 1.647864e-08 -0.011254 18.536150 0.001921 \n", "507466 0.0009 -0.019802 1.968975e-07 -0.034146 18.501117 0.001919 \n", "\n", " exret 1+ret_mom mom \n", "0 NaN 1.000000 NaN \n", "1 0.314016 1.316497 NaN \n", "2 0.046451 1.048855 NaN \n", "3 0.049484 1.052105 NaN \n", "4 0.198756 1.201851 NaN \n", "5 -0.252896 0.750884 NaN \n", "6 0.066834 1.069845 NaN \n", "7 -0.140255 0.862694 NaN \n", "... ... ... ... \n", "507459 -0.060402 0.941538 0.186047 \n", "507460 0.087837 1.089869 0.285164 \n", "507461 -0.042478 0.959520 0.216730 \n", "507462 -0.042588 0.959375 0.211045 \n", "507463 0.033805 1.035831 -0.059172 \n", "507464 -0.024027 0.977987 -0.157182 \n", "507465 -0.013175 0.988746 -0.117647 \n", "507466 -0.036066 0.965854 -0.054140 \n", "\n", "[507467 rows x 14 columns]" ] }, "execution_count": 34, "metadata": {}, "output_type": "execute_result" } ], "source": [ "stk_df_m" ] }, { "cell_type": "code", "execution_count": 35, "metadata": { "editable": true }, "outputs": [], "source": [ "stk_df_m['rev'] = stk_df_m['exret'].values\n", "stk_df_m['ret'] = stk_df_m.groupby(['secID'])['ret'].shift(-1)\n", "stk_df_m['rf'] = stk_df_m.groupby(['secID'])['rf'].shift(-1)\n", "stk_df_m['exret'] = stk_df_m.groupby(['secID'])['exret'].shift(-1)\n", "stk_df_m['ret_date'] = stk_df_m.groupby('secID')['ym'].shift(-1)\n", "\n", "stk_df_m['mom'] = stk_df_m.groupby(['secID'])['mom'].shift()\n", "stk_df_m['mom_date'] = stk_df_m.groupby('secID')['ym'].shift()" ] }, { "cell_type": "code", "execution_count": 36, "metadata": { "editable": true }, "outputs": [], "source": [ "stk_df_m.drop(['ret_daily','turnoverValue','turnoverRate','illiq_daily','1+ret_mom'],axis=1,inplace=True)" ] }, { "cell_type": "code", "execution_count": 37, "metadata": { "editable": true }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
secIDymclosePricemktcapretsizerfexretmomrevret_datemom_date
0000001.XSHE2007-06870.8704.266117e+100.31649724.4765550.0024810.314016NaNNaN2007-07NaT
1000001.XSHE2007-071146.4985.616330e+100.04885524.7515290.0024040.046451NaN0.3140162007-082007-06
2000001.XSHE2007-081202.5105.890714e+100.05210524.7992280.0026210.049484NaN0.0464512007-092007-07
3000001.XSHE2007-091265.1676.197651e+100.20185124.8500210.0030950.198756NaN0.0494842007-102007-08
4000001.XSHE2007-101520.5427.448652e+10-0.24911625.0338840.003780-0.252896NaN0.1987562007-112007-09
5000001.XSHE2007-111141.7515.593078e+100.06984524.7473810.0030110.066834NaN-0.2528962007-122007-10
6000001.XSHE2007-121221.4976.574629e+10-0.13730624.9090690.002949-0.140255NaN0.0668342008-012007-11
7000001.XSHE2008-011053.7785.850212e+10-0.00450424.7923290.002946-0.007450NaN-0.1402552008-022007-12
.......................................
507459900957.XSHG2021-080.6121.116880e+080.08986918.5312200.0020330.0878370.183971-0.0604022021-092021-07
507460900957.XSHG2021-090.6671.218080e+08-0.04048018.6179570.001998-0.0424780.1860470.0878372021-102021-08
507461900957.XSHG2021-100.6401.168400e+08-0.04062518.5763160.001963-0.0425880.285164-0.0424782021-112021-09
507462900957.XSHG2021-110.6141.120560e+080.03583118.5345090.0020260.0338050.216730-0.0425882021-122021-10
507463900957.XSHG2021-120.6361.161040e+08-0.02201318.5699970.002014-0.0240270.2110450.0338052022-012021-11
507464900957.XSHG2022-010.6221.135280e+08-0.01125418.5475600.001921-0.013175-0.059172-0.0240272022-022021-12
507465900957.XSHG2022-020.6151.122400e+08-0.03414618.5361500.001919-0.036066-0.157182-0.0131752022-032022-01
507466900957.XSHG2022-030.5941.083760e+08NaN18.501117NaNNaN-0.117647-0.036066NaT2022-02
\n", "

507467 rows × 12 columns

\n", "
" ], "text/plain": [ " secID ym closePrice mktcap ret size \\\n", "0 000001.XSHE 2007-06 870.870 4.266117e+10 0.316497 24.476555 \n", "1 000001.XSHE 2007-07 1146.498 5.616330e+10 0.048855 24.751529 \n", "2 000001.XSHE 2007-08 1202.510 5.890714e+10 0.052105 24.799228 \n", "3 000001.XSHE 2007-09 1265.167 6.197651e+10 0.201851 24.850021 \n", "4 000001.XSHE 2007-10 1520.542 7.448652e+10 -0.249116 25.033884 \n", "5 000001.XSHE 2007-11 1141.751 5.593078e+10 0.069845 24.747381 \n", "6 000001.XSHE 2007-12 1221.497 6.574629e+10 -0.137306 24.909069 \n", "7 000001.XSHE 2008-01 1053.778 5.850212e+10 -0.004504 24.792329 \n", "... ... ... ... ... ... ... \n", "507459 900957.XSHG 2021-08 0.612 1.116880e+08 0.089869 18.531220 \n", "507460 900957.XSHG 2021-09 0.667 1.218080e+08 -0.040480 18.617957 \n", "507461 900957.XSHG 2021-10 0.640 1.168400e+08 -0.040625 18.576316 \n", "507462 900957.XSHG 2021-11 0.614 1.120560e+08 0.035831 18.534509 \n", "507463 900957.XSHG 2021-12 0.636 1.161040e+08 -0.022013 18.569997 \n", "507464 900957.XSHG 2022-01 0.622 1.135280e+08 -0.011254 18.547560 \n", "507465 900957.XSHG 2022-02 0.615 1.122400e+08 -0.034146 18.536150 \n", "507466 900957.XSHG 2022-03 0.594 1.083760e+08 NaN 18.501117 \n", "\n", " rf exret mom rev ret_date mom_date \n", "0 0.002481 0.314016 NaN NaN 2007-07 NaT \n", "1 0.002404 0.046451 NaN 0.314016 2007-08 2007-06 \n", "2 0.002621 0.049484 NaN 0.046451 2007-09 2007-07 \n", "3 0.003095 0.198756 NaN 0.049484 2007-10 2007-08 \n", "4 0.003780 -0.252896 NaN 0.198756 2007-11 2007-09 \n", "5 0.003011 0.066834 NaN -0.252896 2007-12 2007-10 \n", "6 0.002949 -0.140255 NaN 0.066834 2008-01 2007-11 \n", "7 0.002946 -0.007450 NaN -0.140255 2008-02 2007-12 \n", "... ... ... ... ... ... ... \n", "507459 0.002033 0.087837 0.183971 -0.060402 2021-09 2021-07 \n", "507460 0.001998 -0.042478 0.186047 0.087837 2021-10 2021-08 \n", "507461 0.001963 -0.042588 0.285164 -0.042478 2021-11 2021-09 \n", "507462 0.002026 0.033805 0.216730 -0.042588 2021-12 2021-10 \n", "507463 0.002014 -0.024027 0.211045 0.033805 2022-01 2021-11 \n", "507464 0.001921 -0.013175 -0.059172 -0.024027 2022-02 2021-12 \n", "507465 0.001919 -0.036066 -0.157182 -0.013175 2022-03 2022-01 \n", "507466 NaN NaN -0.117647 -0.036066 NaT 2022-02 \n", "\n", "[507467 rows x 12 columns]" ] }, "execution_count": 37, "metadata": {}, "output_type": "execute_result" } ], "source": [ "stk_df_m" ] }, { "cell_type": "markdown", "metadata": { "editable": true }, "source": [ "### 1 month Amihud Illiquidity" ] }, { "cell_type": "code", "execution_count": 38, "metadata": { "editable": true }, "outputs": [], "source": [ "MIN_NOBS = 15\n", "illiq_df = stk_df.groupby(['secID','ym'],as_index=False)['illiq_daily'].mean()" ] }, { "cell_type": "code", "execution_count": 39, "metadata": { "editable": true }, "outputs": [], "source": [ "idx = stk_df.groupby(['secID','ym'],as_index=False)['ret_daily'].count()['ret_daily'] < MIN_NOBS\n", "illiq_df.loc[idx, 'illiq_daily'] = np.nan\n", "illiq_df.rename(columns={'illiq_daily':'illiq_1m'},inplace=True)" ] }, { "cell_type": "code", "execution_count": 40, "metadata": { "editable": true }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
secIDymilliq_1m
0000001.XSHE2007-06NaN
1000001.XSHE2007-074.045814e-11
2000001.XSHE2007-082.042329e-11
3000001.XSHE2007-092.518211e-11
4000001.XSHE2007-102.969291e-11
5000001.XSHE2007-114.790150e-11
6000001.XSHE2007-122.506658e-11
7000001.XSHE2008-013.919941e-11
............
507459900957.XSHG2021-086.732071e-08
507460900957.XSHG2021-094.502200e-08
507461900957.XSHG2021-105.845718e-08
507462900957.XSHG2021-117.005578e-08
507463900957.XSHG2021-127.803682e-08
507464900957.XSHG2022-014.451479e-08
507465900957.XSHG2022-025.721782e-08
507466900957.XSHG2022-03NaN
\n", "

507467 rows × 3 columns

\n", "
" ], "text/plain": [ " secID ym illiq_1m\n", "0 000001.XSHE 2007-06 NaN\n", "1 000001.XSHE 2007-07 4.045814e-11\n", "2 000001.XSHE 2007-08 2.042329e-11\n", "3 000001.XSHE 2007-09 2.518211e-11\n", "4 000001.XSHE 2007-10 2.969291e-11\n", "5 000001.XSHE 2007-11 4.790150e-11\n", "6 000001.XSHE 2007-12 2.506658e-11\n", "7 000001.XSHE 2008-01 3.919941e-11\n", "... ... ... ...\n", "507459 900957.XSHG 2021-08 6.732071e-08\n", "507460 900957.XSHG 2021-09 4.502200e-08\n", "507461 900957.XSHG 2021-10 5.845718e-08\n", "507462 900957.XSHG 2021-11 7.005578e-08\n", "507463 900957.XSHG 2021-12 7.803682e-08\n", "507464 900957.XSHG 2022-01 4.451479e-08\n", "507465 900957.XSHG 2022-02 5.721782e-08\n", "507466 900957.XSHG 2022-03 NaN\n", "\n", "[507467 rows x 3 columns]" ] }, "execution_count": 40, "metadata": {}, "output_type": "execute_result" } ], "source": [ "illiq_df" ] }, { "cell_type": "code", "execution_count": 41, "metadata": { "editable": true }, "outputs": [], "source": [ "illiq_df['illiq_1m'] = illiq_df['illiq_1m'] * 1e6" ] }, { "cell_type": "code", "execution_count": 42, "metadata": { "editable": true }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
secIDymilliq_1m
0000001.XSHE2007-06NaN
1000001.XSHE2007-070.000040
2000001.XSHE2007-080.000020
3000001.XSHE2007-090.000025
4000001.XSHE2007-100.000030
5000001.XSHE2007-110.000048
6000001.XSHE2007-120.000025
7000001.XSHE2008-010.000039
............
507459900957.XSHG2021-080.067321
507460900957.XSHG2021-090.045022
507461900957.XSHG2021-100.058457
507462900957.XSHG2021-110.070056
507463900957.XSHG2021-120.078037
507464900957.XSHG2022-010.044515
507465900957.XSHG2022-020.057218
507466900957.XSHG2022-03NaN
\n", "

507467 rows × 3 columns

\n", "
" ], "text/plain": [ " secID ym illiq_1m\n", "0 000001.XSHE 2007-06 NaN\n", "1 000001.XSHE 2007-07 0.000040\n", "2 000001.XSHE 2007-08 0.000020\n", "3 000001.XSHE 2007-09 0.000025\n", "4 000001.XSHE 2007-10 0.000030\n", "5 000001.XSHE 2007-11 0.000048\n", "6 000001.XSHE 2007-12 0.000025\n", "7 000001.XSHE 2008-01 0.000039\n", "... ... ... ...\n", "507459 900957.XSHG 2021-08 0.067321\n", "507460 900957.XSHG 2021-09 0.045022\n", "507461 900957.XSHG 2021-10 0.058457\n", "507462 900957.XSHG 2021-11 0.070056\n", "507463 900957.XSHG 2021-12 0.078037\n", "507464 900957.XSHG 2022-01 0.044515\n", "507465 900957.XSHG 2022-02 0.057218\n", "507466 900957.XSHG 2022-03 NaN\n", "\n", "[507467 rows x 3 columns]" ] }, "execution_count": 42, "metadata": {}, "output_type": "execute_result" } ], "source": [ "illiq_df" ] }, { "cell_type": "code", "execution_count": 43, "metadata": { "editable": true }, "outputs": [ { "data": { "text/plain": [ "count 465666.000000\n", "mean 0.006415\n", "std 1.362554\n", "min 0.000001\n", "25% 0.000141\n", "50% 0.000308\n", "75% 0.000657\n", "max 711.256042\n", "Name: illiq_1m, dtype: float64" ] }, "execution_count": 43, "metadata": {}, "output_type": "execute_result" } ], "source": [ "illiq_df['illiq_1m'].describe()" ] }, { "cell_type": "markdown", "metadata": { "editable": true }, "source": [ "### 12 months Amihud Illiquidity" ] }, { "cell_type": "code", "execution_count": 44, "metadata": { "editable": true }, "outputs": [], "source": [ "# # This code choses 12 months, instead of trading days.\n", "\n", "# def amihud_illiq(df, len_periods='12m', min_nobs=200):\n", "# \"\"\"\n", "# df: year_month is set as the index, this is faster than using mask.\n", "# \"\"\"\n", "# year_months = df.index.unique()\n", "# n = len(year_months)\n", "# illiq = np.full(shape=n, fill_value=np.nan)\n", "# start_notnan_month = int(len_periods[:-1])-1\n", "# for i in range(start_notnan_month,n):\n", "# df_ = df[str(year_months[i]-int(len_periods[:-1])+1) : str(year_months[i])].to_numpy()\n", "# if len(df_) < min_nobs:\n", "# continue\n", "# else:\n", "# illiq[i] = df_[:,-1].mean()\n", "# illiq_df = pd.DataFrame({'year_month': year_months, f'illiq{len_periods}': illiq})\n", "# return illiq_df" ] }, { "cell_type": "code", "execution_count": 45, "metadata": { "editable": true }, "outputs": [], "source": [ "stk_df['illiq_250d'] = stk_df.groupby(['secID']).rolling(250, min_periods=200)['illiq_daily'].mean().values" ] }, { "cell_type": "code", "execution_count": 46, "metadata": { "editable": true }, "outputs": [], "source": [ "illiq_df['illiq_12m'] = stk_df.groupby(['secID','ym'])['illiq_250d'].last().values" ] }, { "cell_type": "code", "execution_count": 47, "metadata": { "editable": true }, "outputs": [], "source": [ "illiq_df['illiq_12m'] = illiq_df['illiq_12m']*1e6" ] }, { "cell_type": "code", "execution_count": 48, "metadata": { "editable": true }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
secIDymilliq_1milliq_12m
0000001.XSHE2007-06NaNNaN
1000001.XSHE2007-070.000040NaN
2000001.XSHE2007-080.000020NaN
3000001.XSHE2007-090.000025NaN
4000001.XSHE2007-100.000030NaN
5000001.XSHE2007-110.000048NaN
6000001.XSHE2007-120.000025NaN
7000001.XSHE2008-010.000039NaN
...............
507459900957.XSHG2021-080.0673210.071830
507460900957.XSHG2021-090.0450220.070197
507461900957.XSHG2021-100.0584570.067646
507462900957.XSHG2021-110.0700560.062884
507463900957.XSHG2021-120.0780370.059672
507464900957.XSHG2022-010.0445150.058502
507465900957.XSHG2022-020.0572180.060208
507466900957.XSHG2022-03NaN0.062442
\n", "

507467 rows × 4 columns

\n", "
" ], "text/plain": [ " secID ym illiq_1m illiq_12m\n", "0 000001.XSHE 2007-06 NaN NaN\n", "1 000001.XSHE 2007-07 0.000040 NaN\n", "2 000001.XSHE 2007-08 0.000020 NaN\n", "3 000001.XSHE 2007-09 0.000025 NaN\n", "4 000001.XSHE 2007-10 0.000030 NaN\n", "5 000001.XSHE 2007-11 0.000048 NaN\n", "6 000001.XSHE 2007-12 0.000025 NaN\n", "7 000001.XSHE 2008-01 0.000039 NaN\n", "... ... ... ... ...\n", "507459 900957.XSHG 2021-08 0.067321 0.071830\n", "507460 900957.XSHG 2021-09 0.045022 0.070197\n", "507461 900957.XSHG 2021-10 0.058457 0.067646\n", "507462 900957.XSHG 2021-11 0.070056 0.062884\n", "507463 900957.XSHG 2021-12 0.078037 0.059672\n", "507464 900957.XSHG 2022-01 0.044515 0.058502\n", "507465 900957.XSHG 2022-02 0.057218 0.060208\n", "507466 900957.XSHG 2022-03 NaN 0.062442\n", "\n", "[507467 rows x 4 columns]" ] }, "execution_count": 48, "metadata": {}, "output_type": "execute_result" } ], "source": [ "illiq_df" ] }, { "cell_type": "markdown", "metadata": { "editable": true }, "source": [ "# Merge" ] }, { "cell_type": "code", "execution_count": 49, "metadata": { "editable": true }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
secIDret_dateretrfexretymmktcapsizerevmom_datemombeta
0000001.XSHE2007-070.3164970.0024810.3140162007-064.266117e+1024.476555NaNNaTNaN0.4614
1000001.XSHE2007-080.0488550.0024040.0464512007-075.616330e+1024.7515290.3140162007-06NaN0.6423
2000001.XSHE2007-090.0521050.0026210.0494842007-085.890714e+1024.7992280.0464512007-07NaN0.7722
3000001.XSHE2007-100.2018510.0030950.1987562007-096.197651e+1024.8500210.0494842007-08NaN0.7596
4000001.XSHE2007-11-0.2491160.003780-0.2528962007-107.448652e+1025.0338840.1987562007-09NaN0.7988
5000001.XSHE2007-120.0698450.0030110.0668342007-115.593078e+1024.747381-0.2528962007-10NaN0.9560
6000001.XSHE2008-01-0.1373060.002949-0.1402552007-126.574629e+1024.9090690.0668342007-11NaN0.9468
7000001.XSHE2008-02-0.0045040.002946-0.0074502008-015.850212e+1024.792329-0.1402552007-12NaN0.9654
.......................................
507459900957.XSHG2021-090.0898690.0020330.0878372021-081.116880e+0818.531220-0.0604022021-070.183971NaN
507460900957.XSHG2021-10-0.0404800.001998-0.0424782021-091.218080e+0818.6179570.0878372021-080.186047NaN
507461900957.XSHG2021-11-0.0406250.001963-0.0425882021-101.168400e+0818.576316-0.0424782021-090.285164NaN
507462900957.XSHG2021-120.0358310.0020260.0338052021-111.120560e+0818.534509-0.0425882021-100.216730NaN
507463900957.XSHG2022-01-0.0220130.002014-0.0240272021-121.161040e+0818.5699970.0338052021-110.211045NaN
507464900957.XSHG2022-02-0.0112540.001921-0.0131752022-011.135280e+0818.547560-0.0240272021-12-0.059172NaN
507465900957.XSHG2022-03-0.0341460.001919-0.0360662022-021.122400e+0818.536150-0.0131752022-01-0.157182NaN
507466900957.XSHGNaTNaNNaNNaN2022-031.083760e+0818.501117-0.0360662022-02-0.117647NaN
\n", "

507467 rows × 12 columns

\n", "
" ], "text/plain": [ " secID ret_date ret rf exret ym \\\n", "0 000001.XSHE 2007-07 0.316497 0.002481 0.314016 2007-06 \n", "1 000001.XSHE 2007-08 0.048855 0.002404 0.046451 2007-07 \n", "2 000001.XSHE 2007-09 0.052105 0.002621 0.049484 2007-08 \n", "3 000001.XSHE 2007-10 0.201851 0.003095 0.198756 2007-09 \n", "4 000001.XSHE 2007-11 -0.249116 0.003780 -0.252896 2007-10 \n", "5 000001.XSHE 2007-12 0.069845 0.003011 0.066834 2007-11 \n", "6 000001.XSHE 2008-01 -0.137306 0.002949 -0.140255 2007-12 \n", "7 000001.XSHE 2008-02 -0.004504 0.002946 -0.007450 2008-01 \n", "... ... ... ... ... ... ... \n", "507459 900957.XSHG 2021-09 0.089869 0.002033 0.087837 2021-08 \n", "507460 900957.XSHG 2021-10 -0.040480 0.001998 -0.042478 2021-09 \n", "507461 900957.XSHG 2021-11 -0.040625 0.001963 -0.042588 2021-10 \n", "507462 900957.XSHG 2021-12 0.035831 0.002026 0.033805 2021-11 \n", "507463 900957.XSHG 2022-01 -0.022013 0.002014 -0.024027 2021-12 \n", "507464 900957.XSHG 2022-02 -0.011254 0.001921 -0.013175 2022-01 \n", "507465 900957.XSHG 2022-03 -0.034146 0.001919 -0.036066 2022-02 \n", "507466 900957.XSHG NaT NaN NaN NaN 2022-03 \n", "\n", " mktcap size rev mom_date mom beta \n", "0 4.266117e+10 24.476555 NaN NaT NaN 0.4614 \n", "1 5.616330e+10 24.751529 0.314016 2007-06 NaN 0.6423 \n", "2 5.890714e+10 24.799228 0.046451 2007-07 NaN 0.7722 \n", "3 6.197651e+10 24.850021 0.049484 2007-08 NaN 0.7596 \n", "4 7.448652e+10 25.033884 0.198756 2007-09 NaN 0.7988 \n", "5 5.593078e+10 24.747381 -0.252896 2007-10 NaN 0.9560 \n", "6 6.574629e+10 24.909069 0.066834 2007-11 NaN 0.9468 \n", "7 5.850212e+10 24.792329 -0.140255 2007-12 NaN 0.9654 \n", "... ... ... ... ... ... ... \n", "507459 1.116880e+08 18.531220 -0.060402 2021-07 0.183971 NaN \n", "507460 1.218080e+08 18.617957 0.087837 2021-08 0.186047 NaN \n", "507461 1.168400e+08 18.576316 -0.042478 2021-09 0.285164 NaN \n", "507462 1.120560e+08 18.534509 -0.042588 2021-10 0.216730 NaN \n", "507463 1.161040e+08 18.569997 0.033805 2021-11 0.211045 NaN \n", "507464 1.135280e+08 18.547560 -0.024027 2021-12 -0.059172 NaN \n", "507465 1.122400e+08 18.536150 -0.013175 2022-01 -0.157182 NaN \n", "507466 1.083760e+08 18.501117 -0.036066 2022-02 -0.117647 NaN \n", "\n", "[507467 rows x 12 columns]" ] }, "execution_count": 49, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pd.merge(stk_df_m[['secID','ret_date','ret','rf','exret','ym','mktcap','size','rev','mom_date','mom']], \n", " beta_df_m[['secID','ym','beta']], on=['secID','ym'],how='left')" ] }, { "cell_type": "code", "execution_count": 50, "metadata": { "editable": true }, "outputs": [], "source": [ "ret_df = pd.merge(stk_df_m[['secID','ret_date','ret','rf','exret','ym','mktcap','size','rev','mom_date','mom']], \n", " beta_df_m[['secID','ym','beta']], on=['secID','ym'],how='left')" ] }, { "cell_type": "code", "execution_count": 51, "metadata": { "editable": true }, "outputs": [], "source": [ "ret_df = pd.merge(ret_df, pb_df, on=['secID','ym'],how='left')" ] }, { "cell_type": "code", "execution_count": 52, "metadata": { "editable": true }, "outputs": [], "source": [ "ret_df = pd.merge(ret_df, illiq_df, on=['secID','ym'],how='left')" ] }, { "cell_type": "code", "execution_count": 53, "metadata": { "editable": true }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
secIDret_dateretrfexretymmktcapsizerevmom_datemombetabmilliq_1milliq_12m
0000001.XSHE2007-070.3164970.0024810.3140162007-064.266117e+1024.476555NaNNaTNaN0.46140.123739NaNNaN
1000001.XSHE2007-080.0488550.0024040.0464512007-075.616330e+1024.7515290.3140162007-06NaN0.64230.0939920.000040NaN
2000001.XSHE2007-090.0521050.0026210.0494842007-085.890714e+1024.7992280.0464512007-07NaN0.77220.0970850.000020NaN
3000001.XSHE2007-100.2018510.0030950.1987562007-096.197651e+1024.8500210.0494842007-08NaN0.75960.0922760.000025NaN
4000001.XSHE2007-11-0.2491160.003780-0.2528962007-107.448652e+1025.0338840.1987562007-09NaN0.79880.0834110.000030NaN
5000001.XSHE2007-120.0698450.0030110.0668342007-115.593078e+1024.747381-0.2528962007-10NaN0.95600.1110840.000048NaN
6000001.XSHE2008-01-0.1373060.002949-0.1402552007-126.574629e+1024.9090690.0668342007-11NaN0.94680.0944760.000025NaN
7000001.XSHE2008-02-0.0045040.002946-0.0074502008-015.850212e+1024.792329-0.1402552007-12NaN0.96540.1095130.000039NaN
................................................
507459900957.XSHG2021-090.0898690.0020330.0878372021-081.116880e+0818.531220-0.0604022021-070.183971NaNNaN0.0673210.071830
507460900957.XSHG2021-10-0.0404800.001998-0.0424782021-091.218080e+0818.6179570.0878372021-080.186047NaNNaN0.0450220.070197
507461900957.XSHG2021-11-0.0406250.001963-0.0425882021-101.168400e+0818.576316-0.0424782021-090.285164NaNNaN0.0584570.067646
507462900957.XSHG2021-120.0358310.0020260.0338052021-111.120560e+0818.534509-0.0425882021-100.216730NaNNaN0.0700560.062884
507463900957.XSHG2022-01-0.0220130.002014-0.0240272021-121.161040e+0818.5699970.0338052021-110.211045NaNNaN0.0780370.059672
507464900957.XSHG2022-02-0.0112540.001921-0.0131752022-011.135280e+0818.547560-0.0240272021-12-0.059172NaNNaN0.0445150.058502
507465900957.XSHG2022-03-0.0341460.001919-0.0360662022-021.122400e+0818.536150-0.0131752022-01-0.157182NaNNaN0.0572180.060208
507466900957.XSHGNaTNaNNaNNaN2022-031.083760e+0818.501117-0.0360662022-02-0.117647NaNNaNNaN0.062442
\n", "

507467 rows × 15 columns

\n", "
" ], "text/plain": [ " secID ret_date ret rf exret ym \\\n", "0 000001.XSHE 2007-07 0.316497 0.002481 0.314016 2007-06 \n", "1 000001.XSHE 2007-08 0.048855 0.002404 0.046451 2007-07 \n", "2 000001.XSHE 2007-09 0.052105 0.002621 0.049484 2007-08 \n", "3 000001.XSHE 2007-10 0.201851 0.003095 0.198756 2007-09 \n", "4 000001.XSHE 2007-11 -0.249116 0.003780 -0.252896 2007-10 \n", "5 000001.XSHE 2007-12 0.069845 0.003011 0.066834 2007-11 \n", "6 000001.XSHE 2008-01 -0.137306 0.002949 -0.140255 2007-12 \n", "7 000001.XSHE 2008-02 -0.004504 0.002946 -0.007450 2008-01 \n", "... ... ... ... ... ... ... \n", "507459 900957.XSHG 2021-09 0.089869 0.002033 0.087837 2021-08 \n", "507460 900957.XSHG 2021-10 -0.040480 0.001998 -0.042478 2021-09 \n", "507461 900957.XSHG 2021-11 -0.040625 0.001963 -0.042588 2021-10 \n", "507462 900957.XSHG 2021-12 0.035831 0.002026 0.033805 2021-11 \n", "507463 900957.XSHG 2022-01 -0.022013 0.002014 -0.024027 2021-12 \n", "507464 900957.XSHG 2022-02 -0.011254 0.001921 -0.013175 2022-01 \n", "507465 900957.XSHG 2022-03 -0.034146 0.001919 -0.036066 2022-02 \n", "507466 900957.XSHG NaT NaN NaN NaN 2022-03 \n", "\n", " mktcap size rev mom_date mom beta \\\n", "0 4.266117e+10 24.476555 NaN NaT NaN 0.4614 \n", "1 5.616330e+10 24.751529 0.314016 2007-06 NaN 0.6423 \n", "2 5.890714e+10 24.799228 0.046451 2007-07 NaN 0.7722 \n", "3 6.197651e+10 24.850021 0.049484 2007-08 NaN 0.7596 \n", "4 7.448652e+10 25.033884 0.198756 2007-09 NaN 0.7988 \n", "5 5.593078e+10 24.747381 -0.252896 2007-10 NaN 0.9560 \n", "6 6.574629e+10 24.909069 0.066834 2007-11 NaN 0.9468 \n", "7 5.850212e+10 24.792329 -0.140255 2007-12 NaN 0.9654 \n", "... ... ... ... ... ... ... \n", "507459 1.116880e+08 18.531220 -0.060402 2021-07 0.183971 NaN \n", "507460 1.218080e+08 18.617957 0.087837 2021-08 0.186047 NaN \n", "507461 1.168400e+08 18.576316 -0.042478 2021-09 0.285164 NaN \n", "507462 1.120560e+08 18.534509 -0.042588 2021-10 0.216730 NaN \n", "507463 1.161040e+08 18.569997 0.033805 2021-11 0.211045 NaN \n", "507464 1.135280e+08 18.547560 -0.024027 2021-12 -0.059172 NaN \n", "507465 1.122400e+08 18.536150 -0.013175 2022-01 -0.157182 NaN \n", "507466 1.083760e+08 18.501117 -0.036066 2022-02 -0.117647 NaN \n", "\n", " bm illiq_1m illiq_12m \n", "0 0.123739 NaN NaN \n", "1 0.093992 0.000040 NaN \n", "2 0.097085 0.000020 NaN \n", "3 0.092276 0.000025 NaN \n", "4 0.083411 0.000030 NaN \n", "5 0.111084 0.000048 NaN \n", "6 0.094476 0.000025 NaN \n", "7 0.109513 0.000039 NaN \n", "... ... ... ... \n", "507459 NaN 0.067321 0.071830 \n", "507460 NaN 0.045022 0.070197 \n", "507461 NaN 0.058457 0.067646 \n", "507462 NaN 0.070056 0.062884 \n", "507463 NaN 0.078037 0.059672 \n", "507464 NaN 0.044515 0.058502 \n", "507465 NaN 0.057218 0.060208 \n", "507466 NaN NaN 0.062442 \n", "\n", "[507467 rows x 15 columns]" ] }, "execution_count": 53, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ret_df" ] }, { "cell_type": "code", "execution_count": 54, "metadata": { "editable": true }, "outputs": [ { "data": { "text/plain": [ "Index(['secID', 'ret_date', 'ret', 'rf', 'exret', 'ym', 'mktcap', 'size',\n", " 'rev', 'beta', 'bm', 'illiq_1m', 'illiq_12m'],\n", " dtype='object')" ] }, "execution_count": 54, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ret_df.columns.drop(['mom_date','mom'])" ] }, { "cell_type": "code", "execution_count": 55, "metadata": { "editable": true }, "outputs": [ { "data": { "text/plain": [ "['secID',\n", " 'ret_date',\n", " 'ret',\n", " 'rf',\n", " 'exret',\n", " 'ym',\n", " 'mktcap',\n", " 'size',\n", " 'rev',\n", " 'beta',\n", " 'bm',\n", " 'illiq_1m',\n", " 'illiq_12m',\n", " 'mom_date',\n", " 'mom']" ] }, "execution_count": 55, "metadata": {}, "output_type": "execute_result" } ], "source": [ "cols = list(ret_df.columns.drop(['mom_date','mom']))\n", "cols = cols+['mom_date','mom']\n", "cols" ] }, { "cell_type": "code", "execution_count": 56, "metadata": { "editable": true }, "outputs": [], "source": [ "ret_df = ret_df[cols].copy()" ] }, { "cell_type": "code", "execution_count": 57, "metadata": { "editable": true }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
secIDret_dateretrfexretymmktcapsizerevbetabmilliq_1milliq_12mmom_datemom
361000004.XSHE2011-070.0977900.0052210.0925692011-061.029173e+0920.752021NaN0.64990.0705740.000388NaNNaTNaN
362000004.XSHE2011-08-0.1031910.004503-0.1076932011-071.129826e+0920.8453290.0925690.51650.0642870.000255NaN2011-06NaN
363000004.XSHE2011-09-0.1390730.004931-0.1440032011-081.013236e+0920.736415-0.1076930.73120.0717790.000725NaN2011-07NaN
364000004.XSHE2011-100.0394240.0049260.0344992011-098.723227e+0820.586670-0.1440030.73580.0833740.000965NaN2011-08NaN
365000004.XSHE2011-11-0.0009200.004003-0.0049232011-109.067124e+0820.6253360.0344990.74520.0804950.001645NaN2011-09NaN
366000004.XSHE2011-12-0.2509250.005000-0.2559252011-119.058736e+0820.624410-0.0049230.78550.0805700.001575NaN2011-10NaN
367000004.XSHE2012-010.0222480.0044700.0177772011-126.785664e+0820.335493-0.2559250.86830.1075590.004099NaN2011-11NaN
368000004.XSHE2012-020.1402590.0038690.1363892012-016.936500e+0820.3574780.0177771.12630.1052190.004189NaN2011-12NaN
................................................
483000004.XSHE2021-09-0.0140250.002033-0.0160572021-082.239368e+0921.529459-0.1265430.49810.4871400.0002220.0003472021-07-0.140345
484000004.XSHE2021-10-0.1153820.001998-0.1173812021-092.207959e+0921.515334-0.0160570.35170.4940710.0002880.0003392021-08-0.166310
485000004.XSHE2021-110.1209060.0019630.1189432021-101.953194e+0921.392732-0.1173810.53410.5690550.0003430.0003412021-09-0.286468
486000004.XSHE2021-120.0318780.0020260.0298522021-112.189346e+0921.5068690.1189430.51180.5076660.0002930.0003502021-10-0.392108
487000004.XSHE2022-010.0746640.0020140.0726502021-122.259144e+0921.5382520.0298520.52730.4919810.0002520.0003562021-11-0.090822
488000004.XSHE2022-020.0335430.0019210.0316222022-012.427824e+0921.6102610.0726500.76680.4578130.0002180.0003422021-12-0.041464
489000004.XSHE2022-03-0.1043090.001919-0.1062282022-022.509255e+0921.6432520.0316220.98490.4429480.0001340.0003222022-010.107157
490000004.XSHENaTNaNNaNNaN2022-032.247511e+0921.533089-0.1062280.95910.455187NaN0.0003112022-020.262141
\n", "

130 rows × 15 columns

\n", "
" ], "text/plain": [ " secID ret_date ret rf exret ym \\\n", "361 000004.XSHE 2011-07 0.097790 0.005221 0.092569 2011-06 \n", "362 000004.XSHE 2011-08 -0.103191 0.004503 -0.107693 2011-07 \n", "363 000004.XSHE 2011-09 -0.139073 0.004931 -0.144003 2011-08 \n", "364 000004.XSHE 2011-10 0.039424 0.004926 0.034499 2011-09 \n", "365 000004.XSHE 2011-11 -0.000920 0.004003 -0.004923 2011-10 \n", "366 000004.XSHE 2011-12 -0.250925 0.005000 -0.255925 2011-11 \n", "367 000004.XSHE 2012-01 0.022248 0.004470 0.017777 2011-12 \n", "368 000004.XSHE 2012-02 0.140259 0.003869 0.136389 2012-01 \n", ".. ... ... ... ... ... ... \n", "483 000004.XSHE 2021-09 -0.014025 0.002033 -0.016057 2021-08 \n", "484 000004.XSHE 2021-10 -0.115382 0.001998 -0.117381 2021-09 \n", "485 000004.XSHE 2021-11 0.120906 0.001963 0.118943 2021-10 \n", "486 000004.XSHE 2021-12 0.031878 0.002026 0.029852 2021-11 \n", "487 000004.XSHE 2022-01 0.074664 0.002014 0.072650 2021-12 \n", "488 000004.XSHE 2022-02 0.033543 0.001921 0.031622 2022-01 \n", "489 000004.XSHE 2022-03 -0.104309 0.001919 -0.106228 2022-02 \n", "490 000004.XSHE NaT NaN NaN NaN 2022-03 \n", "\n", " mktcap size rev beta bm illiq_1m illiq_12m \\\n", "361 1.029173e+09 20.752021 NaN 0.6499 0.070574 0.000388 NaN \n", "362 1.129826e+09 20.845329 0.092569 0.5165 0.064287 0.000255 NaN \n", "363 1.013236e+09 20.736415 -0.107693 0.7312 0.071779 0.000725 NaN \n", "364 8.723227e+08 20.586670 -0.144003 0.7358 0.083374 0.000965 NaN \n", "365 9.067124e+08 20.625336 0.034499 0.7452 0.080495 0.001645 NaN \n", "366 9.058736e+08 20.624410 -0.004923 0.7855 0.080570 0.001575 NaN \n", "367 6.785664e+08 20.335493 -0.255925 0.8683 0.107559 0.004099 NaN \n", "368 6.936500e+08 20.357478 0.017777 1.1263 0.105219 0.004189 NaN \n", ".. ... ... ... ... ... ... ... \n", "483 2.239368e+09 21.529459 -0.126543 0.4981 0.487140 0.000222 0.000347 \n", "484 2.207959e+09 21.515334 -0.016057 0.3517 0.494071 0.000288 0.000339 \n", "485 1.953194e+09 21.392732 -0.117381 0.5341 0.569055 0.000343 0.000341 \n", "486 2.189346e+09 21.506869 0.118943 0.5118 0.507666 0.000293 0.000350 \n", "487 2.259144e+09 21.538252 0.029852 0.5273 0.491981 0.000252 0.000356 \n", "488 2.427824e+09 21.610261 0.072650 0.7668 0.457813 0.000218 0.000342 \n", "489 2.509255e+09 21.643252 0.031622 0.9849 0.442948 0.000134 0.000322 \n", "490 2.247511e+09 21.533089 -0.106228 0.9591 0.455187 NaN 0.000311 \n", "\n", " mom_date mom \n", "361 NaT NaN \n", "362 2011-06 NaN \n", "363 2011-07 NaN \n", "364 2011-08 NaN \n", "365 2011-09 NaN \n", "366 2011-10 NaN \n", "367 2011-11 NaN \n", "368 2011-12 NaN \n", ".. ... ... \n", "483 2021-07 -0.140345 \n", "484 2021-08 -0.166310 \n", "485 2021-09 -0.286468 \n", "486 2021-10 -0.392108 \n", "487 2021-11 -0.090822 \n", "488 2021-12 -0.041464 \n", "489 2022-01 0.107157 \n", "490 2022-02 0.262141 \n", "\n", "[130 rows x 15 columns]" ] }, "execution_count": 57, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ret_df[ret_df['secID']=='000004.XSHE']" ] }, { "cell_type": "code", "execution_count": 58, "metadata": { "editable": true }, "outputs": [ { "data": { "text/plain": [ "64" ] }, "execution_count": 58, "metadata": {}, "output_type": "execute_result" } ], "source": [ "gc.collect()" ] }, { "cell_type": "markdown", "metadata": { "editable": true }, "source": [ "# Illiquidity \n", "## single sort" ] }, { "cell_type": "code", "execution_count": 59, "metadata": { "editable": true }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
p1p2p3p4p5p6p7p8p9p10p10-p1
mean0.0007900.0016090.0035290.0049250.0077550.0088390.0110600.0134710.0163890.0100560.009266
t-value0.1093930.2229680.4845110.6847831.0428201.1701141.4637321.8185602.0885141.3412712.372799
\n", "
" ], "text/plain": [ " p1 p2 p3 p4 p5 p6 p7 \\\n", "mean 0.000790 0.001609 0.003529 0.004925 0.007755 0.008839 0.011060 \n", "t-value 0.109393 0.222968 0.484511 0.684783 1.042820 1.170114 1.463732 \n", "\n", " p8 p9 p10 p10-p1 \n", "mean 0.013471 0.016389 0.010056 0.009266 \n", "t-value 1.818560 2.088514 1.341271 2.372799 " ] }, "execution_count": 59, "metadata": {}, "output_type": "execute_result" } ], "source": [ "q = dict()\n", "keys = ['q'+str(i) for i in range(1, 10)]\n", "values = np.arange(0.1, 1.0, 0.1)\n", "q.update(zip(keys,values))\n", "\n", "quantile_df = pd.DataFrame()\n", "for key, value in q.items():\n", " quantile_df[key] = ret_df.groupby(['ym'])['illiq_12m'].quantile(value)\n", "# quantile_df[key] = ret_df.dropna().groupby(['ym'])['illiq_12m'].quantile(value)\n", "\n", "ret_df_q = pd.merge(ret_df, quantile_df, on='ym')\n", "# ret_df_q = pd.merge(ret_df.dropna(), quantile_df, on='ym')\n", "\n", "portfolios = dict()\n", "drop_cols = [col for col in ret_df_q.columns if col[0]=='q']\n", "\n", "portfolios['p1'] = ret_df_q.loc[ret_df_q['illiq_12m'] <= ret_df_q['q1']].copy().drop(drop_cols, axis=1)\n", "for i in range(2,10):\n", " idx = (ret_df_q[f'q{i-1}'] <= ret_df_q['illiq_12m']) & (ret_df_q['illiq_12m'] <= ret_df_q[f'q{i}'])\n", " portfolios[f'p{i}'] = ret_df_q.loc[idx].copy().drop(drop_cols, axis=1)\n", "portfolios['p10'] = ret_df_q.loc[ret_df_q['illiq_12m'] >= ret_df_q['q9']].copy().drop(drop_cols, axis=1)\n", "\n", "portfolios_crs_mean = dict()\n", "for k in portfolios.keys():\n", " portfolios_crs_mean[k] = portfolios[k].groupby(['ret_date'])['exret'].mean()\n", "\n", "mean_values = {}\n", "t_values = {}\n", "for k in portfolios_crs_mean.keys():\n", " y = portfolios_crs_mean[k]\n", " const = np.full(shape=len(y),fill_value=1)\n", " reg = sm.OLS(y, const).fit().get_robustcov_results(cov_type='HAC', maxlags=6)\n", " mean_values[k] = reg.params[0]\n", " t_values[k] = reg.tvalues[0]\n", "# Portfolio 10-1\n", "y = portfolios_crs_mean['p10'] - portfolios_crs_mean['p1']\n", "const = np.full(shape=len(y), fill_value=1)\n", "reg = sm.OLS(y, const).fit().get_robustcov_results(cov_type='HAC', maxlags=6)\n", "mean_values['p10-p1'] = reg.params[0]\n", "t_values['p10-p1'] = reg.tvalues[0]\n", "\n", "pd.DataFrame([mean_values.values(),t_values.values()],index=['mean','t-value'],\n", " columns=mean_values.keys())" ] }, { "cell_type": "code", "execution_count": 60, "metadata": { "editable": true }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
p1p2p3p4p5p6p7p8p9p10p10-p1
mean0.0015080.0035450.0067230.0079920.0102760.0136280.0167540.0182870.0226290.0181600.016652
t-value0.1845800.4389430.8182901.0449181.2786201.6761612.1068222.2133162.7000782.2766564.384845
\n", "
" ], "text/plain": [ " p1 p2 p3 p4 p5 p6 p7 \\\n", "mean 0.001508 0.003545 0.006723 0.007992 0.010276 0.013628 0.016754 \n", "t-value 0.184580 0.438943 0.818290 1.044918 1.278620 1.676161 2.106822 \n", "\n", " p8 p9 p10 p10-p1 \n", "mean 0.018287 0.022629 0.018160 0.016652 \n", "t-value 2.213316 2.700078 2.276656 4.384845 " ] }, "execution_count": 60, "metadata": {}, "output_type": "execute_result" } ], "source": [ "q = dict()\n", "keys = ['q'+str(i) for i in range(1, 10)]\n", "values = np.arange(0.1, 1.0, 0.1)\n", "q.update(zip(keys,values))\n", "\n", "quantile_df = pd.DataFrame()\n", "for key, value in q.items():\n", " quantile_df[key] = ret_df.groupby(['ym'])['illiq_1m'].quantile(value)\n", "\n", "ret_df_q = pd.merge(ret_df, quantile_df, on='ym')\n", "\n", "portfolios = dict()\n", "drop_cols = [col for col in ret_df_q.columns if col[0]=='q']\n", "\n", "portfolios['p1'] = ret_df_q.loc[ret_df_q['illiq_1m'] <= ret_df_q['q1']].copy().drop(drop_cols, axis=1)\n", "for i in range(2,10):\n", " idx = (ret_df_q[f'q{i-1}'] <= ret_df_q['illiq_1m']) & (ret_df_q['illiq_1m'] <= ret_df_q[f'q{i}'])\n", " portfolios[f'p{i}'] = ret_df_q.loc[idx].copy().drop(drop_cols, axis=1)\n", "portfolios['p10'] = ret_df_q.loc[ret_df_q['illiq_1m'] >= ret_df_q['q9']].copy().drop(drop_cols, axis=1)\n", "\n", "portfolios_crs_mean = dict()\n", "for k in portfolios.keys():\n", " portfolios_crs_mean[k] = portfolios[k].groupby(['ret_date'])['exret'].mean()\n", "\n", "mean_values = {}\n", "t_values = {}\n", "for k in portfolios_crs_mean.keys():\n", " y = portfolios_crs_mean[k]\n", " const = np.full(shape=len(y),fill_value=1)\n", " reg = sm.OLS(y, const).fit().get_robustcov_results(cov_type='HAC', maxlags=6)\n", " mean_values[k] = reg.params[0]\n", " t_values[k] = reg.tvalues[0]\n", "# Portfolio 10-1\n", "y = portfolios_crs_mean['p10'] - portfolios_crs_mean['p1']\n", "const = np.full(shape=len(y), fill_value=1)\n", "reg = sm.OLS(y, const).fit().get_robustcov_results(cov_type='HAC', maxlags=6)\n", "mean_values['p10-p1'] = reg.params[0]\n", "t_values['p10-p1'] = reg.tvalues[0]\n", "\n", "pd.DataFrame([mean_values.values(),t_values.values()],index=['mean','t-value'],\n", " columns=mean_values.keys())" ] }, { "cell_type": "code", "execution_count": 61, "metadata": { "editable": true }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 61, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "pd.DataFrame(portfolios_crs_mean)[['p2','p9']].plot()" ] }, { "cell_type": "markdown", "metadata": { "editable": true }, "source": [ "## Double sort" ] }, { "cell_type": "code", "execution_count": 62, "metadata": { "editable": true }, "outputs": [], "source": [ "ret_df.rename(columns={'illiq_1m':'illiq'},inplace=True)" ] }, { "cell_type": "code", "execution_count": 63, "metadata": { "editable": true }, "outputs": [], "source": [ "from myutils.factor_func import double_sort, factor, daily_factor" ] }, { "cell_type": "code", "execution_count": 64, "metadata": { "editable": true }, "outputs": [ { "data": { "text/plain": [ "\u001b[0;31mSignature:\u001b[0m\n", "\u001b[0mdouble_sort\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n", "\u001b[0;34m\u001b[0m \u001b[0mdf\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", "\u001b[0;34m\u001b[0m \u001b[0msort1\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", "\u001b[0;34m\u001b[0m \u001b[0msort2\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'size'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", "\u001b[0;34m\u001b[0m \u001b[0mgroup_date\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'ym'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", "\u001b[0;34m\u001b[0m \u001b[0mmerge_cols\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'secID'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'ret_date'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", "\u001b[0;34m\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;31mDocstring:\u001b[0m\n", "Double sorting. \n", "Arguments:\n", " sort1: variable 1 for sorting into 3 groups\n", " sort2: default is \"size\", sorting into 2 groups\n", " group_date: the dates upon which the factor exposures are sorted\n", " merge_cols: the columns\n", "returns:\n", " portfolios containing 2*3 groups\n", "\u001b[0;31mFile:\u001b[0m /srv/data/notes_py3/myutils/factor_func.py\n", "\u001b[0;31mType:\u001b[0m function\n" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "double_sort?" ] }, { "cell_type": "code", "execution_count": 65, "metadata": { "editable": true }, "outputs": [], "source": [ "portfolios = double_sort(ret_df, sort1='illiq')" ] }, { "cell_type": "code", "execution_count": 66, "metadata": { "editable": true }, "outputs": [ { "data": { "text/plain": [ "{'illiq1_size1': secID ret_date ym ret exret size \\\n", " 0 002051.XSHE 2007-07 2007-06 0.084480 0.081998 21.146571 \n", " 1 600578.XSHG 2007-07 2007-06 0.165449 0.162967 21.225388 \n", " 2 000514.XSHE 2007-08 2007-07 -0.124571 -0.126974 21.262089 \n", " 3 000565.XSHE 2007-08 2007-07 -0.107408 -0.109812 21.390840 \n", " 4 000998.XSHE 2007-08 2007-07 -0.005717 -0.008121 21.378763 \n", " 5 002056.XSHE 2007-08 2007-07 0.093693 0.091289 21.355943 \n", " 6 600116.XSHG 2007-08 2007-07 -0.022585 -0.024988 20.899163 \n", " 7 600128.XSHG 2007-08 2007-07 0.349542 0.347138 21.277198 \n", " ... ... ... ... ... ... ... \n", " 13421 600227.XSHG 2007-05 2007-04 0.065150 0.062623 21.249363 \n", " 13422 600238.XSHG 2007-05 2007-04 0.052255 0.049727 20.953828 \n", " 13423 600303.XSHG 2007-05 2007-04 0.118673 0.116146 21.231079 \n", " 13424 600377.XSHG 2007-05 2007-04 0.054804 0.052277 21.273973 \n", " 13425 600731.XSHG 2007-05 2007-04 -0.109515 -0.112042 21.301803 \n", " 13426 000905.XSHE 2007-06 2007-05 -0.294535 -0.297077 21.363514 \n", " 13427 002110.XSHE 2007-06 2007-05 -0.118174 -0.120716 21.192639 \n", " 13428 601008.XSHG 2007-06 2007-05 -0.015509 -0.018051 21.299654 \n", " \n", " mktcap illiq \n", " 0 1.527000e+09 0.000248 \n", " 1 1.652224e+09 0.000284 \n", " 2 1.713989e+09 0.000355 \n", " 3 1.949503e+09 0.000294 \n", " 4 1.926100e+09 0.000377 \n", " 5 1.882643e+09 0.000383 \n", " 6 1.192316e+09 0.000299 \n", " 7 1.740081e+09 0.000369 \n", " ... ... ... \n", " 13421 1.692315e+09 0.000170 \n", " 13422 1.259308e+09 0.000172 \n", " 13423 1.661653e+09 0.000136 \n", " 13424 1.734480e+09 0.000171 \n", " 13425 1.783427e+09 0.000163 \n", " 13426 1.896951e+09 0.000151 \n", " 13427 1.598992e+09 0.000148 \n", " 13428 1.779600e+09 0.000076 \n", " \n", " [13429 rows x 8 columns],\n", " 'illiq1_size2': secID ret_date ym ret exret size \\\n", " 0 000002.XSHE 2007-07 2007-06 0.480125 0.477643 25.259434 \n", " 1 000021.XSHE 2007-07 2007-06 0.139602 0.137120 22.393984 \n", " 2 000024.XSHE 2007-07 2007-06 0.224035 0.221554 23.468754 \n", " 3 000027.XSHE 2007-07 2007-06 0.126053 0.123572 23.328501 \n", " 4 000031.XSHE 2007-07 2007-06 0.502645 0.500163 22.876698 \n", " 5 000036.XSHE 2007-07 2007-06 0.151467 0.148985 22.376371 \n", " 6 000039.XSHE 2007-07 2007-06 -0.004093 -0.006574 23.878072 \n", " 7 000046.XSHE 2007-07 2007-06 0.522183 0.519702 22.760060 \n", " ... ... ... ... ... ... ... \n", " 126309 601588.XSHG 2007-06 2007-05 -0.324455 -0.326997 23.388652 \n", " 126310 601600.XSHG 2007-06 2007-05 0.100095 0.097553 23.904924 \n", " 126311 601628.XSHG 2007-06 2007-05 0.111081 0.108539 24.228823 \n", " 126312 601666.XSHG 2007-06 2007-05 -0.061189 -0.063730 22.691706 \n", " 126313 601872.XSHG 2007-06 2007-05 0.075586 0.073044 22.892914 \n", " 126314 601988.XSHG 2007-06 2007-05 -0.123909 -0.126451 24.119138 \n", " 126315 601991.XSHG 2007-06 2007-05 0.472858 0.470317 22.689538 \n", " 126316 601998.XSHG 2007-06 2007-05 -0.136961 -0.139502 23.230954 \n", " \n", " mktcap illiq \n", " 0 9.333248e+10 0.000014 \n", " 1 5.315985e+09 0.000121 \n", " 2 1.557222e+10 0.000281 \n", " 3 1.353441e+10 0.000053 \n", " 4 8.614372e+09 0.000105 \n", " 5 5.223174e+09 0.000175 \n", " 6 2.344849e+10 0.000043 \n", " 7 7.665997e+09 0.000252 \n", " ... ... ... \n", " 126309 1.437350e+10 0.000029 \n", " 126310 2.408666e+10 0.000013 \n", " 126311 3.330000e+10 0.000013 \n", " 126312 7.159500e+09 0.000055 \n", " 126313 8.755200e+09 0.000032 \n", " 126314 2.984066e+10 0.000010 \n", " 126315 7.143993e+09 0.000066 \n", " 126316 1.227651e+10 0.000018 \n", " \n", " [126317 rows x 8 columns],\n", " 'illiq2_size1': secID ret_date ym ret exret size \\\n", " 0 000014.XSHE 2007-07 2007-06 0.550079 0.547598 21.108547 \n", " 1 000028.XSHE 2007-07 2007-06 0.621618 0.619137 20.868838 \n", " 2 000033.XSHE 2007-07 2007-06 0.128828 0.126347 20.845732 \n", " 3 000050.XSHE 2007-07 2007-06 0.199988 0.197507 20.984007 \n", " 4 000055.XSHE 2007-07 2007-06 0.232699 0.230218 20.441209 \n", " 5 000065.XSHE 2007-07 2007-06 0.318532 0.316051 20.563070 \n", " 6 000096.XSHE 2007-07 2007-06 0.549676 0.547194 20.818688 \n", " 7 000151.XSHE 2007-07 2007-06 0.387004 0.384523 20.913814 \n", " ... ... ... ... ... ... ... \n", " 97562 600976.XSHG 2007-06 2007-05 -0.304877 -0.307419 21.175786 \n", " 97563 600983.XSHG 2007-06 2007-05 -0.316133 -0.318675 20.749450 \n", " 97564 600986.XSHG 2007-06 2007-05 0.109348 0.106807 20.640347 \n", " 97565 600987.XSHG 2007-06 2007-05 -0.262125 -0.264667 21.128655 \n", " 97566 600991.XSHG 2007-06 2007-05 -0.228944 -0.231486 21.073762 \n", " 97567 600992.XSHG 2007-06 2007-05 -0.242386 -0.244928 20.633606 \n", " 97568 600995.XSHG 2007-06 2007-05 -0.243270 -0.245812 21.113707 \n", " 97569 601007.XSHG 2007-06 2007-05 -0.037383 -0.039925 20.999552 \n", " \n", " mktcap illiq \n", " 0 1.470028e+09 0.000461 \n", " 1 1.156702e+09 0.000698 \n", " 2 1.130281e+09 0.000477 \n", " 3 1.297892e+09 0.000783 \n", " 4 7.542311e+08 0.000841 \n", " 5 8.519768e+08 0.000836 \n", " 6 1.100124e+09 0.000815 \n", " 7 1.209912e+09 0.000644 \n", " ... ... ... \n", " 97562 1.572269e+09 0.000239 \n", " 97563 1.026530e+09 0.000383 \n", " 97564 9.204254e+08 0.000363 \n", " 97565 1.499886e+09 0.000216 \n", " 97566 1.419772e+09 0.000374 \n", " 97567 9.142420e+08 0.000335 \n", " 97568 1.477632e+09 0.000173 \n", " 97569 1.318225e+09 0.000208 \n", " \n", " [97570 rows x 8 columns],\n", " 'illiq2_size2': secID ret_date ym ret exret size \\\n", " 0 000006.XSHE 2007-07 2007-06 0.285140 0.282658 22.417635 \n", " 1 000012.XSHE 2007-07 2007-06 0.256257 0.253775 22.351744 \n", " 2 000016.XSHE 2007-07 2007-06 0.163273 0.160792 21.518036 \n", " 3 000022.XSHE 2007-07 2007-06 0.097988 0.095507 21.633381 \n", " 4 000029.XSHE 2007-07 2007-06 0.215967 0.213486 21.363237 \n", " 5 000040.XSHE 2007-07 2007-06 0.258488 0.256006 21.707787 \n", " 6 000042.XSHE 2007-07 2007-06 0.322215 0.319734 21.542105 \n", " 7 000043.XSHE 2007-07 2007-06 0.355924 0.353442 21.331385 \n", " ... ... ... ... ... ... ... \n", " 88693 600888.XSHG 2007-06 2007-05 0.080392 0.077851 21.528878 \n", " 88694 600962.XSHG 2007-06 2007-05 -0.159881 -0.162423 21.543806 \n", " 88695 600963.XSHG 2007-06 2007-05 0.022519 0.019977 22.172400 \n", " 88696 600971.XSHG 2007-06 2007-05 -0.122085 -0.124627 21.570288 \n", " 88697 600973.XSHG 2007-06 2007-05 0.037011 0.034469 21.483241 \n", " 88698 600978.XSHG 2007-06 2007-05 0.040059 0.037517 22.245342 \n", " 88699 600981.XSHG 2007-06 2007-05 0.102394 0.099852 21.754868 \n", " 88700 601699.XSHG 2007-06 2007-05 0.108787 0.106245 22.615594 \n", " \n", " mktcap illiq \n", " 0 5.443212e+09 0.000317 \n", " 1 5.096114e+09 0.000304 \n", " 2 2.213931e+09 0.000379 \n", " 3 2.484608e+09 0.000514 \n", " 4 1.896427e+09 0.000337 \n", " 5 2.676529e+09 0.000458 \n", " 6 2.267866e+09 0.000415 \n", " 7 1.836973e+09 0.000729 \n", " ... ... ... \n", " 88693 2.238067e+09 0.000340 \n", " 88694 2.271728e+09 0.000311 \n", " 88695 4.259427e+09 0.000293 \n", " 88696 2.332689e+09 0.000179 \n", " 88697 2.138222e+09 0.000297 \n", " 88698 4.581730e+09 0.000189 \n", " 88699 2.805558e+09 0.000193 \n", " 88700 6.634800e+09 0.000207 \n", " \n", " [88701 rows x 8 columns],\n", " 'illiq3_size1': secID ret_date ym ret exret size \\\n", " 0 000018.XSHE 2007-07 2007-06 0.279598 0.277117 19.237899 \n", " 1 000023.XSHE 2007-07 2007-06 0.350894 0.348413 20.128646 \n", " 2 000032.XSHE 2007-07 2007-06 0.277626 0.275144 20.558908 \n", " 3 000037.XSHE 2007-07 2007-06 0.231018 0.228536 20.788640 \n", " 4 000045.XSHE 2007-07 2007-06 0.333871 0.331389 19.445612 \n", " 5 000049.XSHE 2007-07 2007-06 0.474561 0.472080 20.141541 \n", " 6 000056.XSHE 2007-07 2007-06 0.158708 0.156226 20.566809 \n", " 7 000153.XSHE 2007-07 2007-06 0.210085 0.207603 20.542752 \n", " ... ... ... ... ... ... ... \n", " 120568 900949.XSHG 2007-06 2007-05 -0.198024 -0.200566 20.655265 \n", " 120569 900950.XSHG 2007-06 2007-05 -0.299198 -0.301740 20.128804 \n", " 120570 900951.XSHG 2007-06 2007-05 -0.353702 -0.356243 18.259338 \n", " 120571 900952.XSHG 2007-06 2007-05 -0.221453 -0.223995 18.876976 \n", " 120572 900953.XSHG 2007-06 2007-05 -0.346585 -0.349127 19.245908 \n", " 120573 900955.XSHG 2007-06 2007-05 -0.178636 -0.181178 19.157845 \n", " 120574 900956.XSHG 2007-06 2007-05 -0.191310 -0.193852 18.911100 \n", " 120575 900957.XSHG 2007-06 2007-05 -0.319239 -0.321781 18.967507 \n", " \n", " mktcap illiq \n", " 0 2.264193e+08 0.004561 \n", " 1 5.517721e+08 0.001262 \n", " 2 8.484381e+08 0.000969 \n", " 3 1.067558e+09 0.001595 \n", " 4 2.786903e+08 0.001977 \n", " 5 5.589333e+08 0.001739 \n", " 6 8.551683e+08 0.009751 \n", " 7 8.348414e+08 0.002302 \n", " ... ... ... \n", " 120568 9.342600e+08 0.001637 \n", " 120569 5.518596e+08 0.002847 \n", " 120570 8.510000e+07 0.050801 \n", " 120571 1.578216e+08 0.008304 \n", " 120572 2.282400e+08 0.006765 \n", " 120573 2.090000e+08 0.024947 \n", " 120574 1.633000e+08 0.022156 \n", " 120575 1.727760e+08 0.017730 \n", " \n", " [120576 rows x 8 columns],\n", " 'illiq3_size2': secID ret_date ym ret exret size \\\n", " 0 000505.XSHE 2007-07 2007-06 0.112411 0.109930 21.545365 \n", " 1 002007.XSHE 2007-07 2007-06 0.043270 0.040788 22.338747 \n", " 2 200022.XSHE 2007-07 2007-06 0.149595 0.147113 21.897146 \n", " 3 200024.XSHE 2007-07 2007-06 0.323631 0.321149 22.668784 \n", " 4 200550.XSHE 2007-07 2007-06 0.093522 0.091040 22.009430 \n", " 5 200761.XSHE 2007-07 2007-06 0.216726 0.214245 21.901305 \n", " 6 201872.XSHE 2007-07 2007-06 0.149380 0.146898 21.897146 \n", " 7 600038.XSHG 2007-07 2007-06 -0.008547 -0.011028 21.865349 \n", " ... ... ... ... ... ... ... \n", " 19173 600697.XSHG 2007-06 2007-05 -0.082252 -0.084793 21.610210 \n", " 19174 600729.XSHG 2007-06 2007-05 0.014211 0.011669 21.958267 \n", " 19175 600750.XSHG 2007-06 2007-05 -0.248471 -0.251013 21.831254 \n", " 19176 600825.XSHG 2007-06 2007-05 -0.030984 -0.033526 22.203555 \n", " 19177 600829.XSHG 2007-06 2007-05 -0.021814 -0.024356 21.484655 \n", " 19178 600858.XSHG 2007-06 2007-05 -0.064081 -0.066623 21.815380 \n", " 19179 600864.XSHG 2007-06 2007-05 0.061890 0.059348 22.051407 \n", " 19180 600970.XSHG 2007-06 2007-05 -0.066411 -0.068953 22.173919 \n", " \n", " mktcap illiq \n", " 0 2.275272e+09 0.057883 \n", " 1 5.030310e+09 0.000930 \n", " 2 3.234520e+09 0.000874 \n", " 3 6.997259e+09 0.001986 \n", " 4 3.618880e+09 0.001763 \n", " 5 3.248000e+09 0.001026 \n", " 6 3.234520e+09 0.000874 \n", " 7 3.133289e+09 0.001188 \n", " ... ... ... \n", " 19173 2.427701e+09 0.000506 \n", " 19174 3.438381e+09 0.000822 \n", " 19175 3.028260e+09 0.000423 \n", " 19176 4.394216e+09 0.001244 \n", " 19177 2.141249e+09 0.000426 \n", " 19178 2.980570e+09 0.000692 \n", " 19179 3.774020e+09 0.002142 \n", " 19180 4.265900e+09 0.000604 \n", " \n", " [19181 rows x 8 columns]}" ] }, "execution_count": 66, "metadata": {}, "output_type": "execute_result" } ], "source": [ "portfolios" ] }, { "cell_type": "code", "execution_count": 67, "metadata": { "editable": true }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
illiq1_size1illiq1_size2illiq2_size1illiq2_size2illiq3_size1illiq3_size2
ret_mean-0.0083480.0052340.0133190.0108990.0207160.011809
t_values-1.0810160.6711601.6344021.4399292.5240401.677896
\n", "
" ], "text/plain": [ " illiq1_size1 illiq1_size2 illiq2_size1 illiq2_size2 \\\n", "ret_mean -0.008348 0.005234 0.013319 0.010899 \n", "t_values -1.081016 0.671160 1.634402 1.439929 \n", "\n", " illiq3_size1 illiq3_size2 \n", "ret_mean 0.020716 0.011809 \n", "t_values 2.524040 1.677896 " ] }, "execution_count": 67, "metadata": {}, "output_type": "execute_result" } ], "source": [ "mean_portfolios_ret = dict()\n", "for pf in portfolios.keys():\n", " mean_portfolios_ret[pf] = portfolios[pf].groupby('ret_date')['exret'].mean()\n", "# print(mean_portfolios_ret[pf].shape) # print 看一下会不会存在某个月份上没有illiq和size分组没有任何交叉\n", "\n", "# Fast merge by stacking\n", "mean_portfolios_ret_df = pd.DataFrame(np.vstack([pf for pf in mean_portfolios_ret.values()])).T\n", "mean_portfolios_ret_df.columns = mean_portfolios_ret.keys()\n", "mean_portfolios_ret_df.index = mean_portfolios_ret['illiq1_size1'].index\n", "\n", "# Newey-West adjustment\n", "mean_values = {}\n", "t_values = {}\n", "for k in mean_portfolios_ret.keys():\n", " y = mean_portfolios_ret[k]\n", " const = np.full(shape=len(y),fill_value=1)\n", " reg = sm.OLS(y, const).fit().get_robustcov_results(cov_type='HAC', maxlags=4)\n", " mean_values[k] = reg.params[0]\n", " t_values[k] = reg.tvalues[0]\n", "\n", "pd.DataFrame([mean_values.values(),t_values.values()],index=['ret_mean','t_values'],columns=mean_values.keys())" ] }, { "cell_type": "code", "execution_count": 68, "metadata": { "editable": true }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 68, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "mean_portfolios_ret_df.plot()" ] }, { "cell_type": "code", "execution_count": 69, "metadata": { "editable": true }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 69, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Within mktcap1, any difference in illiq groups?\n", "pfs = mean_portfolios_ret_df.columns\n", "cols = list(pfs[pfs.str[-5:] == 'size1'])\n", "mean_portfolios_ret_df[cols].plot()" ] }, { "cell_type": "code", "execution_count": 70, "metadata": { "editable": true }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 70, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAA6UAAAIYCAYAAACVAkpZAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8QZhcZAAAgAElEQVR4nOzdeZCkd33n+ffveZ686urq6gsJHS0QEq2zjVuMBBY+xI4sGLFmpZkYYLGZtQZ2CbHrZVdgh4OgR2Id0yGNwmH3SF7PEgLbjMd2g2I9wkKzBslgCRmELKOjdYDUQn2oj6rqrDyf87d/PE9mZXVXd9eR2ZWV9XlFKLqrsjLzqVJX5vN5vt/f92estYiIiIiIiIisBGelD0BERERERETWLoVSERERERERWTEKpSIiIiIiIrJiFEpFRERERERkxSiUioiIiIiIyIpRKBUREREREZEV4630AQBs3LjRbt26daUPQ0RERERERHrgRz/60TFr7ab5buuLULp161aeeuqplT4MERERERER6QFjzOunuk3tuyIiIiIiIrJiFEpFRERERERkxSiUioiIiIiIyIrpizWlIiIiIiIiKyUMQ/bv30+z2VzpQ1n1isUi5513HrlcbsH3USgVEREREZE1bf/+/YyOjrJ161aMMSt9OKuWtZbJyUn279/PRRddtOD7qX1XRERERETWtGazyYYNGxRIl8kYw4YNGxZdcVYoFRERERGRNU+BtDuW8nNUKBUREREREVlhhw8f5o477mDnzp3s3r0bgK1bt1KtVnn22We5++67z/gYu3bt4m1ve9uinnfXrl08//zzC/765557juuvv54rrriCD3zgA1Sr1UU933wUSkVERERERFbYli1bThk8r7zySu64447T3v9LX/oShw4dIkmSRT3v5z//eS6//PIFf30+n+e+++7jueeeY9u2bXz1q19d1PPNR6FURERERERkhe3bt48dO3bMe9tjjz3GrbfeCsDTTz/N1VdfzTXXXMPtt9/Ozp07AfjkJz/J7//+75/2OV599VWuu+46rr76am6++WYAPvGJT/DQQw/xyCOPsH37drZv396enPvKK6/wvve9j6uuuoo777wTgEsuuYQrr7wSSCu509PTy/7eNX1XREREREQk8+/+6/O8cHCmq4952bljfPHmhVcjT+ezn/0s9913H+95z3u46aab2LhxIwCbN28+432/8Y1v8OEPf5jPfe5zJ7Xd3njjjdx444089NBDfP3rX28/1wMPPMBFF13Etddey0c/+lEuvvji9n327NnDPffcs+zvSaFURERERERkldi7dy/vfe97AXj/+9+/qDWdH/zgB7nlllsoFAp86lOfOun2IAjYuXMn3/zmNwH4/ve/zy233AJAuVzmtddea4fS+++/nwsuuIBrrrlmud+SQqmIiIiIiEhLtyqavdI53Xaxk263bdvGk08+ya5du7jhhht4/PHH59x+77338rGPfYwtW7YA4LouzzzzzEmP88QTT/DAAw/w6KOPLuE7OJnWlIqIiIiIiKwSl156KU8++SQA3/3udxd138nJScbGxrjrrrvYv38/YRi2bzt48CAPPvggn/nMZ9qf27FjBw8//DAAMzMzhGHIgQMH+PSnP82ePXsYHh7uwnekUCoiIiIiIrJq3Hvvvdx2223s2LGDfD6/qPt+7WtfY9u2bVx11VXcdttt7YFGAF/5yld4/fXX2bFjB9u3b2dycpLdu3dzzz33sH37dm644QZ83+fOO+/k0KFDfOhDH2L79u3tAUzLYay1y36Q5dqxY4d96qmnVvowRERERERkDdq7dy/btm1b6cNYtN27d3Ps2LH2BN5+Md/P0xjzI2vtvOOFtaZURERERERkwLzxxhvtbV9a5lsf2g8USkVERERERAbM+eef37ch9EQKpSIiIiIiIqvQ7bffvtKH0BWrZtDRg/+4n3/7J1p3KiIiIiIiMkhWTSh9+vXjfO+Voyt9GCIiIiIiItJFqyaU+lFMECUrfRgiIiIiIiLSRasolCYkFqJYwVRERERERGRQrJ5QGqZhNFAoFRERERGRAXP48GHuuOMOdu7cye7duwHYunUr1WqVZ599lrvvvvu09//iF7/IpZdeyuWXX85f/dVfLfh5d+3axfPPP7/gr3/uuee4/vrrueKKK/jABz5AtVpd8H1PZfWE0igGUAuviIiIiIgMnC1btpwyeF555ZXccccdp73/z/3cz/HCCy/w2GOP8dnPfnbBz/v5z3+eyy+/fMFfn8/nue+++3juuefYtm0bX/3qVxd831NZRaE0q5QqlIqIiIiIyIDZt28fO3bsmPe2xx57jFtvvRWAp59+mquvvpprrrmG22+/nZ07dwLwa7/2a7iuy6ZNm4iiiDiOT3qcV199leuuu46rr76am2++GYBPfOITPPTQQzzyyCNs376d7du3k8vlAHjllVd43/vex1VXXcWdd94JwCWXXMKVV14JpJXc6enpZX/vq2af0lYo9RVKRURERESkVx7+bXjz2e4+5luuhJv+fVce6rOf/Sz33Xcf73nPe7jpppvYuHHjnNu/853v8K53vQvXdU+67ze+8Q0+/OEP87nPfe6kttsbb7yRG2+8kYceeoivf/3r7ed64IEHuOiii7j22mv56Ec/ysUXX9y+z549e7jnnnuW/T2tolAaZ38qlIqIiIiIyNq0d+9e3vve9wLw/ve/f064nJmZ4bd+67f48z//83nv+8EPfpBbbrmFQqHApz71qZNuD4KAnTt38s1vfhOA73//+9xyyy0AlMtlXnvttXYovf/++7ngggu45pprlv09rZ5QGqp9V0REREREeqxLFc1eMcbM+3drLR//+Me54447TrlGdNu2bTz55JPs2rWLG264gccff3zO7ffeey8f+9jH2LJlCwCu6/LMM8+c9DhPPPEEDzzwAI8++mg3vqVVuKZU03dFRERERGSNuvTSS3nyyScB+O53v9v+/Be+8AUuu+wyPv7xj5/yvpOTk4yNjXHXXXexf/9+wjBs33bw4EEefPBBPvOZz7Q/t2PHDh5++GEgrcKGYciBAwf49Kc/zZ49exgeHu7K97SKQqmm74qIiIiIyNp27733ctttt7Fjxw7y+TyQBsrf+73f42/+5m/aw4r+9m//9qT7fu1rX2Pbtm1cddVV3Hbbbe2BRgBf+cpXeP3119mxYwfbt29ncnKS3bt3c88997B9+3ZuuOEGfN/nzjvv5NChQ3zoQx9i+/bt7QFMy2Gstct+kOXasWOHfeqpp077Ndvv/G8cr4f82W/+M37hHRtP+7UiIiIiIiILtXfvXrZt27bSh7Fou3fv5tixY+0JvP1ivp+nMeZH1tp5xwuvvjWl84w2FhERERERkVlvvPFGe9uXlvnWh/aDVRFKrbVq3xUREREREVmg888/v29D6IlWRSiNEkuSdRlrSxgRERERERG4/fbbV/oQumJVDDrqDKKqlIqIiIiIiAyO1RFKw9l1pNoSRkREREREZHCsjlCqSqmIiIiIiMhAUigVERERERGRFbNKQmnc8XeFUhERERERGSyHDx/mjjvuYOfOnezevRuArVu3Uq1WefbZZ7n77rtPed9arcZHPvIRLrvsMi6//HL+6I/+aMHPu2vXLp5//vkFf/1zzz3H9ddfzxVXXMEHPvABqtXqgu97KqsjlIaqlIqIiIiIyODasmXLKYPnlVdeyR133HHK+w4PD/O7v/u7vPDCCzzxxBN84QtfIEkWlps+//nPc/nlly/4OPP5PPfddx/PPfcc27Zt46tf/eqC73sqqyOUdrbvatCRiIiIiIgMmH379rFjx455b3vssce49dZbAXj66ae5+uqrueaaa7j99tvZuXMnAFdccQUAr776KhdeeCGOc3LUe/XVV7nuuuu4+uqrufnmmwH4xCc+wUMPPcQjjzzC9u3b2b59O7lcDoBXXnmF973vfVx11VXceeedAFxyySVceeWVQFrJnZ6eXvb3vir2Ke1s31WlVEREREREemXXD3bx4tSLXX3Md068k8+/+/NdeazPfvaz3HfffbznPe/hpptuYuPGjUAaam+66SbK5TIPPvjgvPf9xje+wYc//GE+97nPndR2e+ONN3LjjTfy0EMP8fWvf739XA888AAXXXQR1157LR/96Ee5+OKL2/fZs2cP99xzz7K/p9URSjvad7WmVERERERE1qq9e/fy3ve+F4D3v//97XC5detW9u7dy8svv8zNN9/MD37wA9atWzfnvh/84Ae55ZZbKBQKfOpTnzrpsYMgYOfOnXzzm98E4Pvf/z633HILAOVymddee60dSu+//34uuOACrrnmmmV/T6sjlGr6roiIiIiInAXdqmj2ijFm3r+3XHLJJVx88cW8/PLLJwXGbdu28eSTT7Jr1y5uuOEGHn/88Tm333vvvXzsYx9jy5YtALiuyzPPPHPSczzxxBM88MADPProo934llbLmtK0fdd1jNaUioiIiIjImnXppZfy5JNPAvDd734XgKNHjzI5OQnAsWPH2Lt3L29/+9tPuu/k5CRjY2Pcdddd7N+/nzAM27cdPHiQBx98kM985jPtz+3YsYOHH34YgJmZGcIw5MCBA3z6059mz549DA8Pd+V7WlWV0pGCR9CxvlRERERERGQtuffee/mN3/gNisUiF110EZCGzY985CPEcYznedx9991MTEycdN+vfe1r3H///biuy2233dYeaATwla98hddff709bOnb3/42u3fv5rbbbuN3fud3yOVyPProo9x5550cOnSID33oQwBcfPHF7NmzZ1nfk7HWLusBumHHjh32qaeeOuXtX3n8NXb+1xc4b32Jd2we4YF/8+6zeHQiIiIiIjLI9u7dy7Zt21b6MBZt9+7dHDt2rD2Bt1/M9/M0xvzIWjvveOFVVSkdLebUvisiIiIiInIGb7zxRnvbl5b51of2g1UWSj0NOhIRERERETmD888/v29D6IlWSSiN8RxDKedyvB6s9OGIiIiIiIisuNtvv32lD6ErVsf03TCh4DnkPUf7lIqIiIiIiAyQ1RFKo4RCziXvOWrfFRERERGRruuHAbCDYCk/x1USSmMKnkPBVaVURERERES6q1gsMjk5qWC6TNZaJicnKRaLi7rfKllTOtu+q+m7IiIiIiLSTeeddx779+/n6NGjK30oq16xWOS8885b1H1WRygNEwqeS0HtuyIiIiIi0mW5XI6LLrpopQ9jzVo97bs5R2tKRUREREREBswqCaVq3xURERERERlEqyiUuuRdlzixxIkWIIuIiIiIiAyCVRJK43alFFALr4iIiIiIyIBYHaE0TNprSkGhVEREREREZFAsOZQaY75gjPmJMeaHxpitHZ/fZox5zBjznDHmaWPMLyz3INvtu1ko9eN4uQ8pIiIiIiIifWBJodQYcyHwYeBS4E5gV8fNB4Bft9ZeAfwfwBeXe5B+FPOW5DAXTj4OqFIqIiIiIiIyKJZaKf1l4GFrbQw8DFzXusFaO2Ot/Vn24eXA88s7xLRS+r6pv+K6f/wcoFAqIiIiIiIyKLwl3m8zcAzAWhsZY1xjjJuFVIwxtwL/ATgK3DjfAxhjPgl8EuCCCy447ZP5YcKQbeDGjfRjhVIREREREZGBsNRK6Yl7spg5N1q7x1p7IfB/AX857wNY+8fW2h3W2h2bNm069RNZix/FFG0Dx0a4xKqUioiIiIiIDIilhtJDwEYAY4wH2FaVtJO19kHgqqUfHkSJJbFQsE0ACoQEsUKpiIiIiIjIIFhqKP1b4FeNMS7wAeB7xpi7jTH/3BjzNmNMDiCbvPvqcg6w1aqbT1qhNFClVEREREREZEAsaU2ptfZNY8wDwEtADbgZuAeYAHYA3zTG+EAZ+M3lHKAfpgXYfJKuJy0SKpSKiIiIiIgMiKUOOsJauxvY3fGpf9Xx93nXkS5Fu1KaDTkqmECDjkRERERERAbEUtt3z5pWAPU6K6VaUyoiIiIiIjIQVkEoTdt3vSirlGpNqYiIiIiIyMDo/1AaZpXSuA5k03cVSkVERERERAZC/4fSKMEjwklCAIomIIhO2n1GREREREREVqFVEEpjhvDbH2ufUhERERERkcHR/6E0TCidGErVvisiIiIiIjIQ+j+URglDZjaUpu27CqUiIiIiIiKDYBWE0pghmu2Ph5xI+5SKiIiIiIgMiFUQSpM5a0qHXYVSERERERGRQdH/oTSM57TvDjsadCQiIiIiIjIo+j+URsmc9t2SibSmVEREREREZECsklA6WyktOZq+KyIiIiIiMihWQSiNGXFmQ+mQUSgVEREREREZFP0fSsOEsVYozY9SNFpTKiIiIiIiMij6P5RGCaNumH5QWp+GUlVKRUREREREBsIqCKVZ+25uCHIligQKpSIiIiIiIgNiFYTShGETZKG0SIEIX+27IiIiIiIiA6H/Q2mYMGyakB8Gr0hBlVIREZGea0QNbv3rW/nR4R+t9KGIiMiA6/9QGsUMGz8LpYUslMYrfVgiIiID7WD1IC9Nv8Qr06+s9KGIiMiAWwWhNKFEtqbUK5FH03dFRER6bao5BUBsdSFYRER6a1WE0iGa7Upp3vr4oUKpiIhIL002JwGIkmiFj0RERAbdKgilMUXrt9eU5mygSqmIiEiPTTYUSkVE5Ozo/1AaJhRptqfvelaDjkRERHqt1b6rUCoiIr3mrfQBnIkfJRSTRrt9N5colIqIiPSa1pSKiMjZsgpCaUzeZmtKHRfP+kSJJUksjmNW+vBEREQG0lRDlVIRETk7VkH7bkw+aban73pJAFitKxUREemhdvuuVSgVEZHe6vtQSuTjkLTbdw2WPBG+WnhFRER6pjV9N07UvisiIr3V1+271lrcqAYuaSjNWogKhFpXKiIi0kMadCQiImdLX4fSKLHpdjCQtu/G6d8LhGrfFRER6ZFm1KQW1gANOhIRkd7r61DqRwlDJgul+WEI08FGRaMJvCIiIr0y3Zxu/12VUhER6bX+DqVhzBDN9IP8MNg0iBZQKBUREemVVusuKJSKiEjv9Xco7ayU5oYgDgEoak2piIhIz7SGHIHad0VEpPf6P5S2K6VDELXWlAYEsd4kRUREemGykYbSnJNTpVRERHqur7eE8aOYIVprSkcgVwSgYEL8UJVSERGRXmi1724e2qxKqYiI9Fx/h9IwodTZvutloZQAX9N3RUREemKqOUXJKzGSG1GlVEREeq6/Q2mUMNw56MgrANqnVEREpJemmlNMFCfwHE+hVEREeq7P15TGlOjYEsYrAQqlIiIivTTZmGRDcQMYDToSEZHe6+9KaZhO37XGBTffrpRqn1IREZHeSSul6/Fm3iQKait9OCIiMuD6O5Rm7btJbgiM6VhTGhJoTamIiEhPTDWnmDA5vOM/I6ofXenDERGRAdfnoTRt37W54fQTuY5QqkqpiIhI1yU2Ybo5zQQOLpY40futiIj0Vp+H0rR9l9xQ+omsUlpE7bsiIiK9UAkqRDZiQwKehchq0JGIiPRWf4fSMGaIJuSzUOrmsMalYNS+KyIi0guTjUkAJkIf11piq/dbERHprf4OpVHCED4mPzL7Sa9IgRBflVIREZGum2xmodSv4wGRpu+KiEiP9X8oNT6mMNz+nPEKDButKRUREemFqeYUABP143jWEqlSKiIiPdbnoTRmCB+n1b4LkCtRchRKRURElmzf41A9Mu9N7VBancQFte+KiEjP9XcoDROGjQ9z2ncLDDkhQax2IhERkSX52r+Ev//9eW+aak5hMKyvHFalVEREzor+DqUnTt8F8IoUTYgf6k1SRERk0aIAwhpMvzbvzZONSdYXxnGrh/GAGL3fipxNcWJX+hBEzro+D6Uxpc7pu9AOpZq+KyIisgRBNf3z+M/mvXmqOcVEfgxsgqtKqchZdbwecOXOR3j8J8dW+lBEzqq+DqVBGFIkOKF9t0gRrSkVERFZklYonX4d7MkVmanmFBNeCWjtU6qqjcjZcqzqUw9ifnq0utKHInJW9XUotUEj/cuc9t0CBQKFUhERkaXws5PdoAKN6ZNunmpOMWFyALhYte+KnEXNbHlapRmt8JGInF19HUoJa+mfJ0zfLSy2ffcn34afPtrdYxMREVmNgo4KzDwtvFONKTZYA4DnFYlQpVTkbGmG6SDPmWa4wkcicnb1dSh12qF07vTdgg3wF1Mp/btd8Ni/7+7ByeLFIXzjk3D05ZU+EhGRtWtOKH19zk1+7FMJK0xEEbh5vNwIcS9DqbUQNnv3+CKrTOv8tqpKqawxfR1KTThf+26J/GLXlEY+NI939+BOVJ+CRC1OpzX9Ovz4L+DVx1b6SERE1i7/1JXS6WbazjsRNGD0LbiOSwTYXq0rff5B+A+XQuv9XmSNa1VK1b4ra01fh1Inqqd/yc9dU5pf7JrSJIJGD0Npswz3XgYvfbN3zzEI/HL258zKHoeIyFoW1Gb/fkIonWxOAjDRrMLYW/GMC0Bse7Q3+PHX04vG9anePL7IKtOqlFbUvitrTF+HUq8VSnPDHZ8skrfB4taUxkFvK6WN4xA1oHygd88xCJpZGPUrK3scIiJrWat9d/SctIOlw1QjDYcTtSkYPQe316E08tM/9b4gAqSV0g86TxI0NX1X1pa+DqVulLXz5DtCaa5Izi6yUhoHEDV7t24lDrI//d48/qDwFUpFRFZc6zV482UnVUqnmmko3TBzBMbOJeekoTRKetRK2AqlgU7ARQC8mTf4j/k/4F0zj630oYicVX0dSr241b47t1Lq2ZAwXMQbZJy1QDTL3Tu4OY+fhdIo6M3jDwpVSkVEVl5QA+PCxkvSUNqxXrQdSoN6Wil1POAshFIt6xABIGmm50ilUC3tsrYsOZQaY75gjPmJMeaHxpitHZ9fZ4z5c2PMi9ltly/1OXLJ/PuUApjFVCVbobFXLbytN1VVSk9PlVIRkZUXVKEwAusvTLdeq0+2b5psTFJ08pSshbFzcU1vQ+nf1d/gV887l2Ce/VJF1qIkG/o1FPV4QKdIn1lSKDXGXAh8GLgUuBPY1XFzAPyptfad2W07l3pwuXi2fbcRNThcOwxeKf1ctIhW3FaltFfDjtqVUoXS04nq6c+/VtHJh4jIivGrfHlslB972ccd28JMNaeYyA1jAMbOxXN6u6b0xeY0B3Ie0/WjPXl8kdUmDtJz35G43Lup1yJ9aKmV0l8GHrbWxsDDwHWtG6y1DWvt32Qf7gPWL+UJrLXkkyx45of58rNf5qN/89F2pdSJFx5KwzALi72qlLbXlKp993RqM2krSrOqq38iIivF+hX+YMjh/sNPpJ/oWFc61ZxiwknfZxk9By9r342T3oTSo/V0mc5kRaFUBCAJ0vPbcSrUgh4NGBPpQ0sNpZuBYwDW2ghwjclG9M31L4FHlvIEUWIp0SQyeXBc3qy9yZH6EUI3lx54EpAkC7yC1OtKaWst6WKqt2tQ3EjX9HqhBlqIiKyURlAhMfAPU89TNWbOBN6p5hQbyN7OR8/BM+l7bq/ad4MkfX+e6eW2bSKriM12npgwFaraq1TWkKWG0hPToDnxC4wxPwf8GrB7vgcwxnzSGPOUMeapo0dPvkLqRwlD+EReup60Fqb7qlWyZyoQLmxbGGvJkf1S96xSmlViNejotGwjXVOai2pn+EoREemVWnZhMExC/n7dhjmV0snmJBNxAsObwMvjutmaUtujUJq9P1d7NYhQZLXJKqXrqWivUllTlhpKDwEbAYwxHmCzVl6yz20EvgJ8xFrbmO8BrLV/bK3dYa3dsWnTppNu98OYIeMTueka0kqYDscpkz5NkQXuVRrP/kL71R5NMtOWMAuTDTrKxwqlIiIrpdqx/cq3x9a1Q6m1Nm3fDf10D1Po+fTdMAu7VQ3AEwHAZsvTJkyFGVVKZQ1Zaij9W+BXs5bdDwDfM8bcbYz551lI/S/A71hrn1/qgaWV0iZxNtioFqRBppxl3wIL3Ks0mQ2l9fKxpR7O6UUadLQQJgulng30sxIRWSH1rFtl89BmvufGBMf3ATATzBAlERN+HcbOBcBz8kDvBh2F2YXmVjeUyFpnwjSUrjN1qtmaa5G1YEmh1Fr7JvAA8BJwF/A54EJggnQd6XXA7xljnsn+G1/sc7TadxMv3aO0mrUblbOQWTDhwkJpx/AhvzJ5mi9chlaFdBAHHf3w/4GXvtWVh3LDjivhvtaVioishGo2/+BfvO1fUCPhH5qHIauSAkzUj3eE0t4OOgqyUNqIdPItAnMHefbsvFWkDy15n1Jr7W5r7cXW2quttT+z1v4ra+1/sdb+ubV22Fq7veO/RS/m9KOYkvFJcmmldDaUpgGwuNBKaUf7blTr0VYkg7wlzPfvg6f/pCsPlQurNG06NEMbpYuIrIxqdtL7Kxf8CkNOjm8XPKgdbYfSDY0yjGah1E0rpWHSm7VtAen7eD2Zd6WPyJpjOoZmhpUedfiJ9KElh9Je88OEYZrY3NxBR+UkDYALHnTUUb20vZ6+O4iV0iSCoDtrffJRlYN2Q/qB1g+JiJx9SUwtW8c5UZzg+vHLeHS4RDz12mylNE5grLWmNL2QGMc9WlOahdKmZjKIAGA6fheSqkKprB39G0qjhBI+NjdMmIQ0ovQqajlO/yyw+PZdL+jRdL/29N0BfFNN4u602kY+ng04pFAqIrJygmq6DQwwnBvmhvN/kSnX5ccHHmeykbYKbkjidvuum23DFi1ib/BFHY5Jh/k3rKaMigC4nRdo6mrflbWjj0NpOn2X/DD1cHatSSuUFk2Av6BQml7dbdocubBHQShrEU4GMpRGEHQhlDbTdt1DKJSKiKwYv0rdSd/6R3IjXH/xh/Cs5duHf9CulI7HSbt9N9cadNSjfbiDbJu3JgqlIgBu5wWgeo92jRDpQ/0bSrP2XZMbotLRPlrOAupiK6XHWMdQ0pvhOo1Geky12gBOD0zC7lRKszWkB+1E9rFCqYjIWRfUqDqGnHHJu3lGRrbwz4KYb1d+ymRjknGngAez7bvZmtKoR8tT/KxS2qQ3g5REVhsv8am46wFwmwqlsnb0byjN2ndNYWTOqPhyNvBooWtKbSuU2nXpFnsQBMMAACAASURBVDNh999Yw6A1fVeV0lPKNkafbd/VoCMRkbMuqFB1HIqmwJGZtCJzgzPO/qTJD978ARtMDvIjUBgDwGu17/a4Utowtt3ZJLKWuYlP0x2hTol80KMBnSJ9qG9DaRA0yJkYpzDcrpTmnXw7lBYJ8MMzX1mNwzQotq46TR473PVjtVnbrtOj6YQrKonTUGrt8h4nC6FaUyoisoKCGjXHwfdddn3rJQB+efQijIV9M/uYsMDoOZCtO3W9AgBxLyqlcYSfPU/Vcbo2VE9kNYtp8j9tdvhhcR2FoEcDOkX6UN+G0thPq6NuYbhdKT135FzKfpnEyaf7lC6gUtqqjAbFNAwdOdq7UOomAzh9Nw7BJhAucw+5bE3pETtObA1WoVRE5Ozz00FHNs7zdy8fJUksG9e/ne1++v41EUXt1l0Az2m17/agUhr77VBac4z2rxYBqk6TfTnLj0tDDEUKpbJ29G0oTZrpm5NbHGnvUXruyLmUgzJ4hQWvKY1a7bojmwGYnjzS9WO12ZYwAxlKk6ydarknC1mldIZhqpSIG8tv333ip8fY8aX/j0pzACvUIiK9EFSpOQ42KXCs6vPCoRlYfyG/ks1EmAga7SFHAJ6bVkqjuPuvszZs0sxCad046qCRNc9aizXp79pkrsBw3KNdI0T6UN+GUptVSr3iCNVsTeNbR95KJagQeUWKBAsMpWkVM79uCwCV6e7v+TRbKR2wcGQt2KxFernrSrNKaeANU2GIuLH8F9oXDs5wrBowVRvAiwEiIr0QVKk5hiQuAfDYS0dg/EJuqKeT7Tc1Ku3tYABcL5u+24P23TCoYjsrpd2YXyCyivlRAk56Ljnt5RhNNH9D1o6+DaVJkLaLeoXhdqX0rSNvBaCSKy64fTfJqpjOSBpK6+UebEScDThyiNM1mIOi83tZ5hXssJ62oAyPrqdqSyTN5V8RP15PX7jDeJnrXUVE1go/rZTGSQlj4LGXjsL4BZwfRfzHc2/i1pmZOaF0tlLa/UF+zSA94fYSQ81xejYArx5ENIIBem+WgeWHCdakHWplz2WdVSiVtaNvQ2nrimmrfdc1LpuH0hbcci6/4Eppa9BRVNoIgF/twXjtqKNCOkh7lXZWfpd5BTuqH6dqi2wcG6JKCduFk4/penrBIUoWsDWQyBr26EtH8COdlAvpljDGIUqGuPaiDTz9s2nK+XQN6fsmD7A+SdJBRxnXLQIQ96B918+WhRTjHJExBI3eTBr9X//8GX77Gz/uyWOLdJMfxVgnDaUVxzJimvjNAdxuUGQefRxKs8E6+bR9dyQ/wnhhHICZXJ4CYdrmcAZJFhLjUjroKK714E2v8wpyj8bmr4ikYzz/MteURvUyFYbYPFqkakvQxUpppEqpyCm9MVXn3zzwQ7713JsrfSjSD9prSot8aPu5JBb+/vUaDG+GN/4h/ZrOSqnXu31Km9m0XS9Oq7G1Rm/2ZDx4vMGh4wP03iwDqxkmJFkorTrpOW59+uhKHpLIWdO3odREWSjNDVELa4zkRlhXWAfAjJujsNBKaauKWRghcIrQ7MEks8436x5tML4i5oTS5YXIpFmmYktsGi1QpYTpwuj/4430Zx0uoI1bZK2q+unvsdZeC0DYLNN0DDYucP07NjJW9LJ1pRdALTv5nRNK00pp1INBfs1saY4Tpetbqz2qlJaCYxSCyZ48tkg3+VFMbNKulirp71y93P0BnSL9qG9DqZNtA0N+iEpYmRNKy55LaaFrSrP2XdcrEHhjFKMKNb+7G3SbziA6UO27He1+ywyRtjFDhSG2jBWp2BJOFwZaTNeySmmiSqnIqbQu3lWa3X3dk9Wpnr2W26TA+FCe6y/ZxN+9fBS7/sL0C4wLw5vaX+9ma0rjpPv/fuqtDpx4FICq35vtLz5X/30+NfOHPXlskW5qhgmxSV+zq7aJBfyyKqWyNvRvKI1m23drYY3h3PBs+67jUjQL2xKmtV2Lk8uTFNexztQ4eLzR1WM1g1op7VxDtMz2XRPMULFDbM4qpW64/FBabrQGHalSKnIqrYt32jpJAGrZcCFjiwznXX7pkk0cqfgc89JhgIy+BRy3/fXtSmkP1pS2QmnOpKF0ptGbUDrENKVE+z1K/2uGEXHWtpuQUHEMYVWhVNaG/g2lYRYcc0PtNaUjuREMhrLDgkNpa/puLpfHFNcxRp0D3Q6lyaAOOop4aHiIHxQLyx505PozVCixeaxA1Zbw4vqyJxW3Bx1pTanIKYXZ6+RMQ5VSgWrWhVR0hzHG8IuXplXR52rr0y/oaN2FtMsIIO5B+2492/qtaMbSY+vR9N0/2BTz5Q3dfd8X6YXAb9LItkkCmHZc4qpaz2Vt6NtQ6sV1EgzkSlTDKiO5EVzHZTQ/ynEDRRZYKc0ql46XxxuZyCql3R14YOKAik3XxNCDsfkrJon4v8fX8adjo2eslP7Pf/ojHnn+1INU3LCSVUqLVMl+Vss4AfGjmHo24j9W+67IKfmtSqmvSqlALbvAWPKGANg8WuTyc8d4/Fj6cefkXQDHK+JYS9iL9t0gDaXDXhqIK8vsyJmPtZajnuWYp44a6X9hs0bT6QilroOtKZTK2tC/oTRq4JsiGJNWSnMjAKwrrKNsLAUTLHCf0vREzMsXKLRDaXevmDpJMBu0ogFq301iQmOYcZ3TrimN4oRvPf8mj//k1HvA5sIqM6Ttu5V2KF36OtVyffYEW+27IqemNaXSqRqn73/D2XsqwC9esolHD2evyydUSnE8PNubLWEaWUfUSH4CgHrU/a0vgjjBNxAYvU9I/4v8Bs2OSukBZwjTUCiVtaF/Q2mShVJIK6X5LJTm11EmIU+4oH33bBwQWpe85+GU1jPek1AaptucwIBVSkMiAzOOc9pKac1P/z9M109x0hL5eDagxhDjQzlqXQilnc+lQUcipxa023dVKRWoZduWjeaH25/7pUs380ayAb8wAW+5au4d3DwutieDjppR+l68rrAxO7but9g2g4TAAd+kVVORfhb5dZrG4JAG0wNOCa/Zm62SRPpN34bSfFwncIoEcUCYhHMqpTPEFOzCtoQhCgjx8FwDpXGGaXBourstQnMrpYMUSiNiTBpKT7OmtBqkJyvH66eoEjfTNt0gN4IxhtDNToaWEUo7n0uVUpFTC2NVSmVWLbtwOlaYrZS+64JxCsUS/+7te2D7R+fewc3hWYiS7l/UaGaV0omRzQDU4+7vJdoMApoGfIcF7W0uspLioEHDcdicS9dZH3GL5PzebJUk0m/6NpTmkiaBU6KStY22K6WFdZRtRJ5gQW8wNg6IcMm5DhTT6b2V8qnbTJfCTQKqNq3qDloojQyUz1AprWYnu9OnCqXZ2tHISycshrnR7PNdqpR2adDRY288xl++9JddeSyRftGulCqUirVUs4FF6wtj7U97rsP179jId35ynJNeTd0cHpbILm8w3XyaWdV2fHgDucTQ6EHw9Rs1msahaQx+oN8B6W9RkFZKx70RCm6BSS9PIdDkaFkb+jaU5pMmoVuilk0KnLOmNAlwSYjCBbyBxSEBHnnXgVIaSpszk10djuPYcLZSOkhbwiQxMQbfcWgGpx5KVM32fW3tG3qSZhmAOJ+G0agdSpc+6KizUholy7/63YyafPGJL/LlZ7+87McS6Settfcz2hJGwjo1J33bHy8Oz7nply7ZzJszTV5884SLhU4Ot0eVUj+r2k6MjpNLHBr0YNuZRpnAMTQcg9/s/ppVkW6Kg3RN6ZBXZLwwznHPoxQplMra0LehtGgbRG6JSpi+QQ7n0jfQdYV1zCQBMcBC1p/E4Wz7blYpHU6qHKt2qaKZJLg2nl1TOkiV0jhdUwowc5r23Zq/sEqpza7M26zqvaz23UbnoKPlX2D4+itfZ6o5Ra0HgzZEVlKrUhpEyYLW4csA86tUHYMXu4yVCnNuam0N89hLJ+yJmFVK42Vu4TXv4SQBjrVsGB7BS1wadL+SWaulrY+RMdRr5a4/vkg32bBJ0xhKuSITxQlmXIfhuAxaDy1rQF+E0jfLzZMGEBRsk8gdopaNjB/Nqmzr8uuwQNVxFhYAk3TQUa6jUrrO1Lq3V2l2pXe2UjpAoTSJiLIpcOWofsova1VK60E8/0lvtqaULJQm+W6073ZUSpe5pjSMQx547gEAan5ZwzBkoHQuc9C60jUuqFJzHNwkx2jRm3PTlrEi73zLKH//kxNCaVYp7cWgIz8OKFiYGCngJh4NbNcn2Nfqs1WmmboGxkh/S8I6DcdQ8kqMF8apuZC3AYSnPgcTGRR9EUqPVn1eOjw3oBStT+zNXymFdJ2jic48FMFkldKcM7umdB1dnMCbtesO5pYwEa2IWT7NAIpWKAU4Pt8E3qxSaorp/zu3sPxKabkeUsq5wPKn7/71T/+aw/XDXBM5RMy2lIkMgs5BYJrAu8YFVarGYJIco8XcSTdf/46N/PC1aRpBx8VFxyHXozWlgQ3IW8tYMYdrc2lr8Wm6cpai1pwNpVWFUul3QVopLXolxovj1Nzs966ubWFk8PVFKIW5LUPWWoZoEHtD7TWlo9k6xDmhdAGT+kycTt/NeWZupXS6S6E0C6GDuCVMEockrUqpDSGe/0p5taP6Mm8Lb1YpdUpj/MWLf4Gb99NtYZZZKd04mgeW174bJRFffu7LXD6xjf+unL7ot/7N9ZX6FPzR9XDslZU+ElllAlVKpSWoUXMcTJI/qVIK8Avv2EQQJ/zDa3NPgF1Mb0JpEpK3UPAc3KRAzTHLel+YT6M527LbGVBF+lLUpGkcirkhJooTNEx2TqVQKmtAX4TSt7gV/q4jlEaJpYRP4g1Rza6aDmd7qo3l0xbQsutgFtC+a5KQ8ITpu5tyjS5WSue279oBWlMadwTs020LU+uolE7V5gmlWaW0VjjOl/7hS1S8H1IzQ8sadDRdD9k0kq6JWk777iP7HuGNyhv82/Pez0icnnTVlnFcPTP1GvGbP4afPbnSRyKrjEKptPlp+y5JgbHSyZXSd2+dIO85/P0rcyfUuxiiXqwptRG5xJD3HBwK6bF1O5R2DOlrNPvwtV2kU9Sk6RiKuWHGC+P4JkjHfymUyhrQF6F0U3IU/2c/bLeB+mFEiQCbG6IapkGoNX13vJAGy7Lj4C5kT7MkSgcdOQZyRfCKvLXgc+B4l/ZDy9p367ZAYg1x0P191lZK2DFJeOY0Jwtnat+NG2VqtkDN7AfAOjNpZXmZ7bsbs1AaLrF9N7EJ/+nH/4mLxy/ml0PDcLaWtFo/vOTj6pXD9Td594Xn8+NjP17pQ5FVxgQzPJr/37na/EQTeNe6oELVMSRJcd5KaSnv8u6tE3zvhFDqAXFP2ndjchbynoNrhqiZ7rfvNjser97lwCvSbSZqZIOOhllfWA/AcdchqSmUyuDri1Bqjcv/aL7F4z9J3wj9ehXH2HYozTt58m7aqtlq3z3uOjgL2H7FSQIiPEzWhkpxHZtyze5VSrP23SOl48wYjyQcnFAad/x8y+6pTxaqfkTrxztf+25UP06FIcrJ6+nHZoaKLS67fXf9UB7XMUuulD76s0f5afmn3HblbThvPstItrVMrd7dfWy74c3aYQLH8OLMvpU+FFllhpqHucg5zHbnp1QUSte2rH03jocYmyeUQrqu9KXDFQ7PzL6XeZjehFIictZQ8BwcM9ST9l2/YzlG4zRbm4n0gyRqEBlDMT/C+mIaSqcdl2Dm6BnuKbL69UUoNUMT3Ox8n6eeexGAsJmFn3zavjvS2kKE2Sm8M46DSRbWvhuZjjal4jgb3AYHy90bdDTpOPz4/Md5eHiEZIDadzv3pSs7DvinDqUXjBgckvkrpfUyFTvEVPgaACFlZmwJu8STD2stxxsh48M5PMcsadCRtZY/fvaPuWD0Am7ceiMc+ieGs8epNvrviqSfTd470ofHJv3NZhfKNppyX7bvvjz9Mk8ffnqlD2Nt8KtUjUOUDM076Ajg+nekW8N0Vks9HCK7/P2gTxTYBM86aaXUGaHhOCTN7m7b4nds89UMu1uFFem2KEnf64u52VA65bgE1f67WL5qJDG88P9qW51VoC9CKcObyJmYLS//Z6y1hNkG1yY/QjWstlt3ATzHY9Qbouy4ePHJW8mcyElCYtNxRbg0zripcbwezlkLuWRxQMVxwMBxxyMJByeUxh0Bu+w4EMwfImvNkD3xZ/hk/r8xPc+a0qRZpkyRw800lAa2TMWWsEtc39MIY4IoYf1QnpzrzJkuulCPH3ycFyZf4Dev/E08a+HIC4xsuDj9fhrTSzquXvKzPXmPhrrSL4vTWue+yZT7cvruH/7jH3LXk3et9GGsCdavUncMYTI0b/suwDvfMsrGkTzfe2W2MuMa05tQSoKbOORdB89NLzjXG92dkBvEs1tpNLUPtfS5JEnf64tesb1cbb87RFxRKF2yn34H/vLXYf9TK30kcgb9EUq9Agc2Xc9/H32LVw5NETWyLUTyw1SDans7mJax3Ahl16FASHCGQHJSKC2OM2LTq6WHulEtjXyaTtq7WnfcgQqlUeeaUvfUldKgUWVTcoyf8/YxdYrpu/u8In5SJ+fkaCTHqS6jUjqdVWPLyYuYC+6iGS/+ROM7P/sOo7lRbn7bzXD0RYgDhs+7DujPCY2tUHok7lKFX9aOLJRucSvM9GGldMafoXKKC17SXU3/OLExYEvtLbVO5DiGX7h4I4//5BhJ1j3iYojoQSg1aaXUGEPOS5fm1JrdvSgYdrxm+qfZb1ukH0RZKC15pXal9JBTwmrQ0dJVDqV/6mfY9/ojlALF936aTabMgb//z0RZpdQppFvCtFp2W9blxyg7DgUTzpksOR/HRsy4LmU/awkqjVOK0xOgrgw7igMa2YLKBu5ATd8N4hPad0+xptTz0yvb5znH5m3fNUGFV/LphYGf3/Lz1OPjVChilhhKj2fB93jyGnhlqtHiQ+RMMMOG0gZybg4O/RMAw1uvB6Dq918oncla2o8QnXJrHpF5ZReXNpuZvmzfrYSV/tyGaQDVsvfBgjM0O2dhHte/YxPHqgF730wvEHvGIe5JpdTi2TQc53Lj2TF29/U36BiIGCxkOKLICkpIzyGLXrE9Q+VNt4DRHrtLVz2S/tnlpQHSfX0TSjdcfRM/c87jglf+hNhvhdJRquHJldLxwjhlx6FIcMZQ6iYRf7Zxmt/+3m+nnyiOk8uGHXRl2FEc0DDpj7FpnIEKpVHrDdwayo57ykqpl13ZPscemXfQkRvM8FrB4hqXa8+5lthGTDp5TFCFZPEnOq3gm5j038lSTjQqQaW9vRCHfgz5EYrnvRvXWmp9WLWZqqff61HXhZoGHsjCmWxrpw3meF9O360GVWphjaQHoUfmqmavbSVv+LRfd/07NgKz60o9ehNKfWNxSUPpUDY7ou5398Qx7Jg9oVAq/S62WSh1i+ScHMPeKJNODqepULpktaz1WaG07/VNKMUYXjj/X/P28GVyr38PALeQtu92rikFWFdct/D2XRtSdhOeOfJMetJTGscJZsg5tjuhtKN9t2mcdqvcIAii7AQ2Hsr2KZ0/rOWD9Mr2eDxJrXZye5QXVjlQiLhw9G2cM3wOAMdcF4OFJVRIWqE0zNqwg2RpobRdgT/0T7DlCkxpnOEkae+N20/8KP0ep12XoPyzFT4aWVWyCeHrkzKVxpknlp9t1aCKxVIP1VrZa60LbkNnCKWbx4q88y2j7XWlnnEIe9K+C65Nu2haAw2rXd4nOrQBOWvxrF3Se4XI2ZSQvkYXvSIA44X1TLsuOb//Zl2sFkk13eav20PUpPv6J5QC6679dWZsibe+8mcAeMVs0FF+bigdK0yk7bucuX3XtSG+k1ANq+yv7Idi2iL09tGYA9PdqpR2hNJ4gEJp1vZnoxEqrkPcnD+UFqP0F93BUqgdnHtjFOAlPkcKPts2vJONpfQK/LSbtY4toYW3VY31k0p2nIv/mbdDaRLDm8/COVdDbogRa6n14bojv+MK/9GpV1bwSGS1cbLfjwI+QaO/LrgkNmnvRV3VZNSeq2YXAYdzQ2f82l+4eCM/3DdNI4hxjUPcg8mVvgGXNJSO5dOgXOnyRcHQBhQSKCaWwPbfRRmRTq1QWvJKAEyUxim7UAimNT12iaaPpuelR44eWeEjkTPpq1D6rnecxzf4FYpJ+sbpFoephbV5KqXrmXEc8sY/Yyj1bERg0l/kFyZfgFIaSi8aDjlS6UKAjAOaWSj1jRmoSmmUpOvPbJSdLMxzpS6KE4bj2Svb48Eh4s4tWvwZjroOTS/kso5QWm7N2FhCKG2tKa1nzxsuYGugE1WCSnqxY+rVtFp7ztVgDMPWUIv6b5iQ3zF06ujx1xZ13x/um+L99/4d9aD/1hPKWdDxbyfX7K/W73pYx5K+Xmhdae/Vsmr02AlzGuZz/SWbCKKEH+ybwjUOEd09IY6TmNAYXNKtacYKWaU06O6/g5CQgjUULQql0vdik3aCFd20UjpRXE/Ntbg26voevmtGNX3fS+qqNve7vgqlBc/lxfP/NYlNQ16SzxHb+KRK6brCOhJjMI6Pv4BBR4FJv+aFqRfaldK3lnyOVbsQIDvad31j5pwArnZh1vaXxOkJTHme1odaEDNhZl8o32qOUu7cdqJZZm8+D8C2DdvYUNoAQMXLNmJfUigNGcq7VLK1waFdRqU0G3LEOVcBMIxLtQ/XHXWG0sOV/Yu67z+9cZyfHKlyeGZwLpjIwjlJwLeGh2gaQ9Hvr3VJndVRVUp7r5ZNoh0rnDmUvnvrBHnP4XsvH00HHXU5lPpZBd/N9hFfV0zf52tdbuMOiShYQ94aAnRhTvpXklgSk/4bbbXvThQnaLrZ+ZKmxy5J3k9/bkvdhlDOnr4KpQBXXHE1307eBUDgpWHvpEppNpHMOo0zril1bUSYhdK9k3vbldJz8j5Hu1IpDduDjnzHtIeKDIIom76bROnPvxyeHEqrfsQ4FQJvlMS4nGeOzh125M/wYhZK3znxTsbyY3jGo+5G7dsXa7oeMl7KcTyb0rjYSqkf+wRJkA46OvRP4OZh0zsBGHZcakn/XVgIO47paP3wou7bmriqSunaVDHHuWPzRh4eHqIUTJ1xb+ezqXMrmFqXK2Rysmr2/jRePHMoLeVd3r11gu+9cgzPuERd/nfjZ/+/XdL3h3XZMdW6vO1VSEwOQ8EaQvpv0JdISxAnJCYNoO01pcVxfDdILwlpAu/ixRHDcXruarq8Xl26r+9C6S9esol/F32c/zP8FGHWxnBiKG1tKJy4Z2jftRZrQpJs+eLeqb3YLNBuydWZqgdEZwi1ZxT77TWlgTGYAaqUtraEsa1K6TxrfWp+xISpEBQn8IfO4TxztN1eC0BzhhcLeUrxGKP5UYwxTBQ30GyH0sVXSsuNgPGhfHubn2iRLVmtE+HRXFYp3XI5uOnV+hGTp5r034mLn4SsixM8C0cWOYWvFUobQdyLQ5M+F5FW/vd7HhOUqffi38HkT+H79y36bp3V0Uqo1rRea4XSidKZQymkU3hfOlzB0P32Xd9vbTeThtLxwhDGQr3LFwVDE5O3LnnrEqDXQOlfzTAmziqlrTWl6wvrsSahbowqpUtg65M42WuXGyiU9ru+C6XnTwxR2HgRe+JfJCS9Yjpf+y5A5J1hS5gkalcx37bubZT9Mgez6XsbvSbWwtQ8W5gsSkf7bmAYqFAaZ2tKk2xN6cw8A4AqzYhxqsTFCeKx8zjPHGOq1hHq/BlezOcYTd7S/tSG0gYCL2uRXdKgo5CxIUsza7NdbKV0JnthGs2PpKH0LVe1bxtxC9T78MQlsBF5C2ORw+FFnry3tgHpSRiRvmez9vZDnsdGyr3Zq/THfwGP/M6i19TPqZRqTWnP1WyEkxjGS2cedATwC9nWMEFI118Vm9n/e9cUABgu5MgnDo0uXxQMTUIel7x18HswQVikW/woIXbS37SCm/5erC+uB2DadRRKl+D4sQMA+NYjFyqU9ru+C6UAN2zbQsFz8OM0BJ24T+lYId1fMnLOEEo7JuP+/JafB2Bv4xAA6530sY9Vlhki47CjUpqu3xoU0YmV0nnWWtb8iPWmii2th/VbT2rfrdSO8EYux5i5oP25TUMbibysRWuJ03dHSrPPES+yUtra8mUkbELzeDrkKDPsFql2uSLQDaGNyCVQivIcXeSa14pC6dI1puHVx1b6KJbFZtMcD+QLbDTl3uxV2mq9XeRFuc7tl/pxK6aBEvlUjSVnXcZK3oLucu66tFpjbQ8qpdnFNcdphVKXXOJS6/K6T99YcsYjj9ueLyHSj5phTORYPGvwnPR3dH0hC6WOq1C6BIcPvgHA63YL+UjvMf2uL0Pp/3bDO/j6//IeGnF6onPSmtJ8WikN3Oj0a0rjkEZWxbxq01W4xuWF8qvg5Bgjfeyjyx12FPvUTTpKNjLgDFClNGxP302vqs8XSqt+xHpTgaEN5CYu5C1mmpnq7C/+SzP7AFiXu7j9uU2lTeBlVdeltO/WQ4rF2WNxksU9Rqs6M1ZOL1Bwzvb2bcO5EnWTTobsJ4GNyFlDLhriqLGLqki123dDrSldtB99Bf70f4Cw/yYyL1SSraM76HlsMOX2RYquagXKaJGhtKN9V5XSHvOr1I2DG3uMFnMLukshl54iGBxi093DaWb/ZjwnXTs3lPdwE4+GoatT7ENjKZAjRw7f9N8FR5EWP0qITELBuO3PtSqlx1xPoXQJpo+kldJ9nEMxrmpbnT7Xl6F0uOBxxVvXzVa0TtqnNK2UBs4Z9imNQ+pZ++76wnrePv72dAJvaZxhmz72sWUOO7JRQM1JnyM0FneAKqWxTUOMIUchcZixJ5/MVv2I9VRxhzeQ37gVgGT6jfbtL1bTSbETxW3tz00UJ8Ct0TCFRQ86stZyvBGSz8+GBNcu7mS2vaZ0+nUwLmy5rH1bqypf77O9mIoHYgAAIABJREFUSkNiPGuw0ShHPBcqby74vq1QWvP7K2ivCvUpsPGqDaXWWhKTviYddWC9KTPTi/bdJVZKW7+LnvE0fbfXgipVx+AmOUaLC6uUFrzWybHb9bm1fvb+nnPSauxwwcVJctSM6erWF74DeZMjh4fv6IRU+lcziNJQSkcozSqlB91hhdIlqE2lxYfp0oV4NoSo/3ZXkFl9GUpbWicpJ1ZKc06OYWvw3Rg/Os2Jdhy0K6Ulr8S2iW3sndyLLa6jFKdvesvdFiaJ/HbwjYwdqPbdVqV0pJCnmHjM2Pikq0yNWpUh4+ONbMCMXwiAU54NpXsbh5mIYjYMz64p3VjaCCbhiDe86JOPih8RJ5ZcbvaFJWFxLzLtNaVHfwKbLoVcqX3bSLZ/X63RX/tZBSTkrCEK11N3HGrT+xZ831a7pgYdLUGrAtjlbSrOliBOIBucERtwvBlmGn3UvhtW8YzH+uJ6hdJeC6rUHAeT5BdcKXUdQ841GOsSGdPVyc3N7N+M56avv0N5D5Pk0ou8XQqlYRTjG8g7eXIm395TXKQf+X46o6TgzP5+jmfbGB50iliF0kULZw4T4FEpZOeg2hamr62KUHrimlKAMePScOMFrykteSUu23AZU80pjpTG8IIyxZyz7FBqI789TClyLA4JxIPRJhlloXRdsYgX5yg75qSrTHEtfZHMjW6C8XTdaKE2u4/mi8EUbw8sI4XZF9mNpXR4xgGvtOiTj+OtIUpuekKTT2x7zdxCtaozI2++MGc9KcBw1hperR1Z1GP2WlopdWjG6c/uyPTLC77v7JYwCqWL1vr3uUorpUGUYJ3Z16MgV+vNoKNWeI8XF3grQYWR/Agj+RGtKe21oEbVMZAUFlwphbRaam36HpfY7q3J9LN27ZyXLg8ZyruQFKg53auUNv0mTWPIO0XyJk/T0FdbIol0Cv16up+0mT1fGsmN4OBxxMljawqli2VqR6m664mzczuaJ29tKP2jv0NpUKXkldoLvjutMznqjsU/U/tu1lrbCqUALxQKmMZxNo4Ulr1XaRIG7VAat4YoDMhepa3pu6OFAk6Up+w44M89cWy9SHrDG2D0HCJchusHAQjigFeTGuf7DiMdJ0EbShsAeNMtLvrkoz1EKRtUtTmOSBYZStPqjEup+uacybsAI9lk51rj6KIes9cCLJ51MN55ABw5/vqC7metnR10pDWli9cOpaevlFaDKm/WFt5SfbaEscWa2YsRZS+iVu9+1bdWTa8+20W2RlWCCiO5EUZzo1pT2mt+hZrjkMTFRYXSYs6BrJ0wst17DWlmSyRy7lD2pwO2mHYedekCRf3/Z+/dg2TLsvK+3z7vk+963ap7e7r7dk9PPwbEw0LmEWGQsSQbRxjjkATIyLKwQJYHY0VIlpAsgRHWHxaSCYeMZrCEAD1BhpGMkcwMMBLMaCCGHnlmGKBvv27fft1XVWVV5evkee3tP/Y+mVlVmVWZVVm389bNL2JibmeezJOVec7e61vft9bqtogtC8/2ca0AJQTxQ+p6WOLyI42jY0qpEILQrrFrOcglKZ0JaS7xkyZJsArBkpQ+DFhoUtpNu8esuwXqlkfXlic3OpLDzrihG/LsyrMIBC/ZQF+T0p3O+ey2amQkzICUzrFJw3uJTOlgthH6WLmvSWlyhERGZmZmaQ1shz3nCo1Ee/hf3X+VDNiKXar+MAgqlNK7tju7Umqsh7noECpFXcqZSWk7aVO1AwQcV0pDXb/RXTCbTCokDhZBqC3S9zvvnPIKjTiTpLlWBpb23TNgQEpPJlsf/sKH+e5f+u4H8IFmw1Gl9I7jkLfn7wKIOnqjT5LZ1r5O2qHqVSm75aV996KRdOgKCykDalPad6FQSjUpzWdsZHUS+oYcuiN7vKA0V6W03dH7k2+H+KahUtRfrNKMJZYokBmlNLS9Q49X3Br7toWIFisuWXS81eyxxgGqfAVC3YtmSUoXGwtNSttJe6x1F6Bh+XQtTrXv9gxhLDklSm6Jp+pP8ZJIINpno+rPxb4bmzIVJdB9Li9JB94hKQ1AhhzYx5VSq9jgS6sAtPyrrGdaMbqxewOA9bh0SCktSOk9y56dlBqlNJZt6nlOIBVKzGYZbCUtqsWlv/V7Dj1XDvXf0VmwxT8BHOWwVdkE4H5vOiV3tH5wad89A6ZUSneiHe507zyADzQbkkwiRY5QsOqUue04cAHWdCfX9uYsnZGUJp2BffdRVUo/dutjfN8nv+/iT5R06VoCpUoErn368Qa+YyGNfTebY5OQyFjiPWe4xwtRpmtZqDnVfXVM0jRwS3imdrXda87lvZdYYt7QpNQisINDj9e8FVq2ibfkcqzRtLi53WVNtPBqV7BDXZurlqR0obHQpLSbdqmaxjNHUbd92rY4tftuYa0NHb0hfXDtg/xu3oH+ARtldw6kNBkopQCJEJdGKS3GojTCAJWXaFkW6giJdOMRpRTolq6xKe+hlOKl5kuUJfhphcqIUlpySlh47FjWzN1393uaZMXpLo1cEiiFnJGUtpM2Vamg9hgEtUPPVQxh7vb3Z3rPi0YiFDY2W9UGoYTtZLps/2in1aVSegZMWVMaZRFxHtNfsM5+SZ6TWxIfwdVwgzuOjd3bmft5XDNTOp1RKW2n2r5bdsuDWu9HDZ9651N87NbH5lqvOQ5Zv0VkWVjW+D11EnzXRhqlNJuj9bVfkFJ/qJRaokImBMmc1t9uVweggVPGM7Wrre5SKV1iMZEnPSIhCJ3DpLTuNejZEqGknq2+xFS4eb/NOgdUVq9hl7QLLustv79FxkKT0nY6WSmtOyFtSxCnkwNtmcYD+65v6wHdL6y+wP08YscSPBam7HYTspMswKdA5VopdYS2W8RCXBqlNDdK6WopIM9LZEIQRYezzF5ibnBje00q72NT7NPpdrjRvMEHspyOOqyUCiEIRJ2mxZlrSjtxk7o0pHTGYQWdpENF5mBUx1GUS1fM+y9WNi0R4GCzUfWpZDb3p1SVRmdSdpNlTems+LTq8l1bV8hP+b6jTAfYRWfnRUGSKXIh8RBcq1zjtuPgXEC9tG9IaX6KzfkoOom271bcR1cp3eltI5Xk4ILXnK5xtdhW7ZQjD0Mrpca+O8e9rVBKfXdIki1bf7Zufz5qZjvW+1PolfGNItvuLUnpEouJPOnTt8RARCmwGqwQ2Wb/Xir9U+P2vfv4IsOrX2HbuQdA3Fl+f4uMhSal3eQEpdQpkQtBL5tch5RlMZEl8PAQhpy+sKbnZb7ke1z1+ygFzd7ZN1qV9UksKDtmdqo43qH2YUVBShulgDTXv8NBdNj6F6T79EQJbF2jlNd1B96Duzd5Ze8VXohj2pQO1ZQChPYK+5bUpHSGboj7vZRq4NBODmjkOb5SSDEb2WonbWpZOp6UlvVj3QVTbRIBNi5Xqj5B5nNfTqdIFZ1WXVss7btnwL+zMj4TBnRPIQyFQtqaUfm/aCS5JBcSH4urtSe569h48Zyt6VmCYxJD+aw1pUlnoJR20+6Fq4WLiJ3dlwHYu+Bax64haK4zOynNpVFKs/l1oY6yGFcpHH+YeHYc02huTgQ9Mjbg0K8QmNrVdrRUSpZYTMgkoi8EJe8wKV0vrZJZqV5lF6zfxSJjb1v33vhN1eMfvfv9fMENSLvL+3+RsdCktJN2Jiul5vH+CTbGPE3pCQtPDIvGn199HoCXPI9NM+typ312UhqbEQglR5O2WAiYYzOI9xKZCRBXSiFJQUqPZOnCrEXPaQz+217RjXjeuP3viLKIF/oR7SNKKUDZbtC2c5DZMWukUorf2f2dsa3793sJKyWP/bRDQ0pCpcit2chWO2lTTftQuTJ4bLcT85c++lv8yCfvEUhJN10cUprKlFwIHOGyUfWxszLbUzYDKWaUXqkGS/vurMgS2sI0iTrlu15cpVSaYewW1+pP0rcsVHZvzicZJgbzGWpKpZJ0Ul1TWvWqKNTge3yUsGOumWY0f1v1KDomYVLxxu+pkxC49ggpnV/CtZ/1CaTC8YZWxdDs67051X1F5m8u+XUCk+DuLOcULrGgkKkhpW7p0ONXyqsgoGVZS1I6A7pN3d/kjqX38TecEvnSvrvQWHhSOrH7rrH8xNnkG1QWSqnlDx6relWeDK/wu77HWkFKz1FX2jeKVaGU9oW4NCNhpFFK18oB/VxnsFvx4SRAOT8gMtltAG/9OgCv7fwWAM8lCW1Kh2pKAaruKpFtrKVHAv7P3vss3/4vv53P3f/csc+010upl2xaeUw9l/hSIUU+0+y5dtKimkRQ2URKxT978S2+8X/7NX7mxbf557+1Q1kpOgtkJUyMZc4RWilVaY37jo1qnT6CpFBKr9R8ekv77mxIOrTNSKnoFOV8oUmppfCEzdXyVQBi5hzUJMN7JUunT8j10h4KRdWtDpKPj9qs0lSm7JkxK3vtdy/0XD1zDZcn7KmT4DsWmWl0lM9xb+vnMb5S2COqUMlYbLtzuo+iYtZ5UMf39B59WoJpiSXeK8ikR9+yBsmZAptl3YBxz57fuKTLjoNeitvXe13TJJfv2P6y0dGCY2FJqVRSj4TxJpBSk/VMsslZj8zUlHrCP/T4C/WnecnzWBG6Duo8s0r7UgdhVW/Uvns5SGmGRChNSiNDSg+O3NBV2SL2hkppef1xUmVzq/MGtrB4f5rSIaTsHSaldW+VxEl1t+IjQcIXd74IwFvtt459pv0opVrKkCgawiFQklzkg7EnpyGVKVHepypz7qk63/Z3f4Pv++gXeW6zyn/8JZvsRwkVJegukGLTT/R16giPjapPkq2QCcFe89VTX1vUlG7VlkrpzIhbQ1L6sNaU5jmpUPjC5lrlGgCxNefPmHRJgfu2jZxh7StGwFS8yiD5+KjVlTajJsr0ybtoUlp837UJe+ok+K5NlhdK6fz2tlgm+OqwUlqouPMqn4hNwqQa1in5eo/uLYP6JRYUaaav1+CIm2HdNJLcs2efWPCo4vWdDutCx6u7UsdB9y1vORJmwbGwpLQITiYqpb4mQmk+mZTmaaKV0iPttV9YfYHbroOSuuHH+ZRSneWuunrDi61L1OgIiQ3UQ5c817/DQTq8obNcUldt0hFSuloJua3WeCu7z1Pla/gKUqeKNdKhGKDh68ZIepE9HCTfaOpRMve6x22G+72EUqB/r0a4qhsdWYo4m64Db6HEVKTkr/3rHV693+GH//CX8TN/+mv4svc16KeSMhadBVK7ExOguYaUdrMNALb3Xj/1te1+hiVgveLTO6Ep2BJjELdpm+s2OiWQXdia0kwZUuoMlNLI7pLL6Z0Fp5+ky89WK/zn77tKmkyfzCm67RZzSkE3t3uUsNMfWnabY9a7eaJwf9SD2brvBo5FKnVSMZ8nKc1TfKXwR8bTDJMT8+ny28/0+1RKDSpmJMRp9/ISS7xXGJDSI3HviomX9q2lUjotbm53WRcHKARNM7Jsx3YQC7ZHL3EYDzEpNcqknHyBySymJ6zB0OwCH7zylQC80XmTwLXORUrjgVKqlcTLpJTmSmIpbd8KbUNKRxbEbpKzIjrkwcrgsVro8g4b3KLLc6EOgrMxzapWAz16Zce2jmX+BqS0dzxI2+smhL4mAPXSJoGx7XanrGUrAuGalMTBOp/4c9/At/6+x7EsQS3UzZpKwqYrFyex0Def2bF8fMcmFY8DcK/15qmvbUUpFd+h5Nv04iUpnQlxe6iUZpODZKXUAiulklSAbznUvBqhsmm7CZ3+HK3cSYe7jkPHsgZjPqZBodxV3erAEdNNHi2ldKd9e/DvvYuuKTXXaGNGUuq7FllRU5rPr6Y0VimuAs8ZhiE10/Soc8L9NgsS0xW6XlkdzKA+6V5eYon3Elmu17/wiJuhYUSYpm0fKpdYYjJubnfYEC0ordI0ZWdN28ZesD16icNYWFJaKFrlCU0Z6iZzlMjJmXVplFLfPtzJ7IVNTUp/t/s26xWfnc45Gh2ZrpN1oxb2L9VIGImlBLYlKHshrlK0Rjb0Tq9HVUQos9kD2JbglrPGjq14LtCWEzmGlG6EBSk9bEfppT1uHdwCjpPSXCpa/QzXM6S0soVnvG/dZLpAY6DO5Ipw5RprlaG1u1GQUly6crbZpxeJxGxCrhlrVAnfB8B2586pr233M6qBS8l1SHJ5rvFHjxzikZrSE+zcqUwHnaoXjpRmksSCQLgIIdgQJfYcSas3P3Khkg4doygnM5DS4l4cte8WRPVRwY5Z63wp2ZvTGJRJ6Bg1f7U0a/ddmzjT90E2x70tlhmeFPgjpLRuZpbOq3wiMSS6UVmnXNYxQ3+BSjOWWGIUqUmiBEdiphWT+N+2fYgfrTXyrLi53eVxr4sob9A0a2vLBvcRc+OcG+178Et/FfIHExOfmZQKIb5fCPGaEOJFIcT1I88FQoiPCiF+6qzvP5pFHwfXq1CSkkxNvkFlnhKJ46S0HjS4lkte7m+zXvHPV1NqgtF6cAmVUmPfdWyLWuBSkYKDkQ29f2DmHZZWD73u1ZIOLJ4T5nsPjgdBG2VNSnePkNJX919FofAs75h99yDSN4VjaQtxo/oYvrmEu1MGwwVpqEqJv7J16Lm6IaWBcOmoxWkKNFBKzXV8paztu/f7p8+bbPUzaqFLydNKx9LCOwNGa0pPCGRHn1s0+26apsQCfDOyad2pc8ex6e3fP+WV0yOJ2nTM99SfoTvrwEr/CNeU7hy8DcDTaUbzghMaXVOSsBbOVlMauBaJLOaUzm9vS1SGowS+M7TvNgJzHczpPAUpDf0yQamGLyX9Oaq9SywxT+TGZnqUlHq2h6UCdmwXFmxc3aLi5k6Hq04Lyhs0I01K27bCO2GM5BJj8OrH4df/D7j3Ow/kdGcipUKIJ4H/AngO+CHgbxw55F8Ap7cGPQEFKZ00EgYnoC4lCZODGJnGRMIicErHnntc2bybdYxSevYNMDHkZcXYK+LLNKcUhVACxxJUApeytGiNzMfst7TdzDIEs8A7oQ4ynjVDioVf5yi2JpDSl5t6Zt9XX/3qY0rpvpkn6ypNxhq1J3DR5+pOWctWqDN27rK2snLouUZJB+6+8Okyx5q7cyI2gbprukhvVctUc8H9KWb5tft6rmtoSOmy2dH0yPoH9ApSekKQfIiULphSmqd9+sIisPVYrA1/g9uOQ3xwuso+LeJei675ntL8bPbdwhHzqCml29071POczSxj74L/9o5McaWgHnqnHzwC37FJc11TOtdGR+S4Shyy75Z9H0eKuZVPpCrGUQrXcgn8gFAp4ilnPC+xxINGKnXsGLjhsec8UWXXcpZK6RTIpeLWbo9VWqjS+kAp7TkST0YPTPW7FCji89btk4+bE86qlP6HwC8qpXLgF4GvPfL8fw387Hk+2CCLPql9vRNQzyWpmBwEqTyhZwl85zix3bJC7uZ9NqrnIKVK0RfaDtkwxCu+TPZdhvbdqu9QkjYHI7bWrK3JoVNZO/S67SBlPctZv6+7w9pj7GIrYRmV+8a+OwzkX2q+RM2r8RVXvoL9eP+Q8rLX0+dW+TaWUlQbT+ILHSxNq5QWQW8sK2zWDtcaF0qph09HLA4pLbpFeo7eqDaqPpXM4X5+umW51c+oBQ5l3yilS1I6NTrRcHRKdIK6stCkNImJhSA01u+t8mO0bYvW/vHO1mdF1msP7bszKFyj9t2y82iOhNmNdtjIc1akZG8GQn8W9EjxpE01cGd6ne9Y5BhSOse9LVE5jrTw7BFS6tm40iZSGcww5mvyORJ8U7Hguw6BhHiBmtgtscQocmWUfec4KfWtmqkpfbTWyLPg3b2IJJNU8z1a5VUylVF2y/StFAmwnFU8PYrvqr3YpPQKsAOglMoAWwgx8OAopU71hgkh/rQQ4rNCiM9ubx+3IY6OCxgLVyulKZM38jyN6QtxbOYTwJZXZ4ectbJFs5ucrRulzHQNKbAajiqll2PTy1FYCFzboho4eNLhgKGtNe/qoN2rbRx6XdPZ57kkgXu/Q4RPKThM/gBCz0FlVXYc55hS+vzq82yVtbX2fm94KRVKaZbvUZMSq/4+fBMsRVOq00UgHOV1tiaQUpuQTAiSBfkde7Emn65R/DeqPl4WsK3SUwM3rZS6hK7+npazSqdHuz+cydvNJgfjBSl1LGfh7Lsy69O3BIGjr/VrjesAbLfemNs5sn6bjihqDmcbCeMIh8AOsC2b0AkfPaU03mctl6y4FfZkMtO85ZmQZ3RROLlDNXBOP34EgWuTK702ZnNsABcjsZXAd4dhSMl3cKRDVzAXx1GiUgLzlQauha8gVpcjabzE5UOOXj/HkdKSXWPPEkuldAq8vtPBJ8HLOjR9HTe9v/F+lIADy4L+5KkdSxzBQ6KUHt05xdijTnoDpf6uUuqrlFJftbGxcez5aZTSmpSk1uSNq5/1UZNIabiBFOAHHaSCZvcMG1UWj5BSbQW9TEqpRGEpgSWg4ju4uUtr5KeXXW2J8KtD+26ap7S4xzNJBkmbtipR8Y9n5kuujcwrbDvu4KLPZMYre6/w3OpzbJY2gcPNjvaNUhpl+zRyCdUtPKOU9maoKbUUtGSdrfrh+bXVwEUIEEpvCJ3exXbDnBaFUuqb6/hKNcDKyty3LIj2TnopbaOUDmpKl0rp1GjFw42rd0IwXqj5m6XNhVNKkzgiFYKSo6/1J9afB2C7+/bczpH3hw2hZlVKK14FcfeLcOvfUnErj15NadZhTTk4mU+GuriROEmHjmVhS5faWZRSQ0rzeSqlSGxlH1NKLenSE/MJvlOVDZrhBY6NJwWxWlr3llhMZObaDOzjifyyU6dtgVrOKT0VN7e7rKH34qan47lnGs/o/7atY2MIlzgBRZnYgpPSO8A6gBDCAZSx8s4NnbSDQFByj9eDAuD41HJJKiZvMLGx3JXG+PO3zCB519Klr2dqdpTr7r4Aq8GIfXdBFLbzIjOkVAhBJXCwMpeDkfSDMPbGUmOYVLh5cBNJzkasF9WWCqmMycyXfFsrpSM1pW+23iTOY15YfWFASu92h6XJe0Yp7WZt6goIGviWDpaiKb/zdtKmIiW7aoWt+uHrorApS0NKu935NYM5D3qms3DgDpXSPK3TtC3Sg3cmvk4pNVBKl6R0drRHanajE7oxF0rpldKVhSOlqVEeA5N5f3pTk9K9ZH4zMWXcGdSUzqKktZO2Tjr+8g/A//O9VLzKI6WUKqXYkTGh9Oh19Rq51z85yXRmJF26loWQ3sxKqe9aZMaRks+xFisWCktah2pKS56DkK5unDWHwDEVQ1JqWQJPiUHH/CWWWDTk6PWzcLaMouY16NgKuVRKT8XN7Q5PBjpuajp67RqSUhv6p/fjWMJgoJS++0BOd1ZS+ivAf2Isu/8p8CkhxN8UQvyheX2wbtql7JaxxISP6IRUpSS1TggWTY1OaYwV4mr9KQBEpmurzlRXmif0hUAoQdkLsHDpCRsuSc1KjkIYEbwauJD59CxBamaCWtEeXeVTLg/V7Ff2XgGg1NckvU2Jqn88CPJsC/Iqu5YYXPTFfNLnVp9js3xcKT2IUiwB7TyiYbkgBJ4wpHRKpbTd36cqJTvUuVL1jz1fL7mkuSZ/nd5ikNK+aeLkGdfAlapPnK6ihGC3+erE13WTHKk40uhoDgFZ3IHexY6vWAS0RwhSdELOrSClm6VN4jxeqJq1zHQa9E3mfau6gSsVzXx+9iUZt+ma5Fw6wyilTtqh6lVh93XYf4uKU36kSGkn7RCj8PMS5HqPujhS2qFrCUNKZ1NKA8cmK+y7c1JKlVIkgKXsQ913y74N0tNJjjkoQik57kiY4yqLhGVibonFRI5eP8fZdxt+g9RSRMua0lNxc7vLl9S1KLVr9qaClO4uSelsGJDS+TVHPAlnIqVKqbvATwIvA/8L8BeBJ4HVk143Cwpr10Q4PhUlyS1JOiF7WzQnqYyZdbq19iwA/UQrTWcipZnu7mtLG9e2cIQmpfKSKKU5YJlLpOo7KBM4HXT1xenEe+xTxR2xX91o3sARHmmiSWV7glIqhMBVNboWxCYjfqN5A8/yeKr+FKETUvfrx5TSeuiyn8fUbU0cfUt3kjypEc0oOtEuVSmJvPVDn7tAI/SIC1J6wcPsp0VBegJft4nfqPq0M/393t+/OfF17b6+L/RImKKmdA4B2S/9Ffin33r+91lwtI2V1JFiMPppHEZJKSzWWJg0039D4GpSagmL9VywJ+cX2CRJh1wUpHR60tJJOlScEhy8DTKjbDmPVKOj7cj0UsjKyEzvdc2LmlUad+gKC6H8Q8rkNPBdi0wWNaXzUUozmSGFJqWuPbTflDwHJQN6lphLQ5cEiaeGpNdRFjHLWc1LLCZy4/wbp5SumlmlB1M0OHzUcXOnwzNlHRM2VYZA8P7G+wHYs6wlKZ0FRaOj1u25NJ87DWeeU6qU+lGl1DNKqS9XSr2llPpWpdTPjDz/q0qpP3nW9++m3cn1pABOQEXqzWV/QhDYN1ndcRbg8spTVHPJQaJJz9mU0pS+JbCUjW0JbOHRFxYyuSSkVGj7Lmi1TUlNSluGKLrxPi1xuLPuy3sv81j5KW6rK/pYSlTGKKUALlpN3U30AnGjeYNnVp7BNZbczdLmIaV0r5eyUvI4IKdh5nj5ZkzKtEppyyilsny8jhl0s6NuqpMYvVPqNR8U4tS0iTfJlXro0pXafr7dmtxFtd3Xqmg1cCjP0b6b7b2N3Lt17vdZdLQM2SxnLtEJgeyofRcWqwNvlukAxh8Zi9XIXHat+a1R0cjct2yGer122qYiLIoWBRX1aM0p3TU16/24RpbpdXTvourYkw4dS2CLCeUwJ8B3bHLmq5QWs0It5SLEKCm1yWVAV8xHKU2ExGO4/7jKWZLSJRYWOTlCgWcdH9u0bubBH6gE5FLtn4ROnHGvFfOkr/elpkxo+A3WgjVA0LRtZLQkpVOjWIfT7gMh82cmpReNdtohmuZMAAAgAElEQVSePKMUwHaoSL2Z7UUTSKmZR1YeU1NKZZOtPGO7v43vWGesKY2JhMCSetNzLI9I2MhLM6cUhLlEKoFDbrL5LVNrGaR7dKzhkGelFK80X+H99Q/wjtKkr61KE2uYAkuT0p20g1KKG80bPL/6/OD5zdIm97oj9t1eSjVURAIaJmvomwYu01om20mLqpRY1a2xz9dDl/1E/52di7LSzYh+3sdWCt/Xn0sIQTW4CsC97uRxwK1IE4Rq4M51Tuk7d++Td/ceSNbsvUQrixAKwtylL9TEv3eglBrL+SKR0tRk1UdnNddlyI49v8C8nw0z95ma3h7eSTpU8+H1WM6zS2Xf7SQdPvnOJyc+v31wC4B20iDKdff2ve7FWKRU3KZrWdjihETvBASuRVo0OpqTUlqs1xaH94bQtclkqO3gc6idSyyFe4iU2sQLNO5riSUK5FKRWTk+4lCipsAVQ0r3lmNhTsStHZ3Y3LLb4FVopi1Wg1Xd4d2qsmvbpN3FiO0eCsQtKFyr7Yu38C4sKe0m3ZPtu0AZHWjvTZg5VHTZq3hjssN+hS0puJccmFmlZ8gA5wmRENhmw3Ytj74QyPQSKKVKkQs1JKW+Qyr173HQ07azMGvRteuDl9zv3Wcv3uNL1l7gHaU78raZTEpLtiaWu3nEvd499uP9w6S0fFQpTdgIdC1cvaTfv6iV6087EibtUpUSb+Xq2OfrJZdmXydDuvFiZNPiPMFTCtcfJleulNewFWz3dye+rlBK15LblD/xl7HJ6c6hpvQzdpv/qxbAlOr0w4p2nuBLC0u6RIKJA7cX2b6bGVLqj7hFKtRp2oJ4TsmzvhxeB7OS0spgrRRU05hucnmU0p975ef4nk98z6EShFHsHLwJQCfdoCPrhFLS7ExOMp0H/fiAXAgcu3r6wUfgj9SU5nI+TYKK9drmcH2rZQmgQmRZyDlk5WMBrhiew8UkmJZYYsGQZJJc5HhqfFi+UdbxUtuyHpqxMLlUyLOMWzwH7rf12lKX+1BeZzfaZTXUhL7sNti2XNLeciTM1IjbsPGc/vcDaHa0sKS0k3ZOtu8CIUXHwklKqVGKxtSUAmxZAXeyLusV/4w1pYmx7+rP4VoesbBQl6GmVOZkiGFNaeCSZjqgOTBdd8v5AZHbGLzk5b2XAfjyzQ+OKKXh2JEwAGVHL7I7eczLTf3ao0pps98kMZax/V7KuqtJaqOsSaXt+DhKTa2UdvI+Famork5WSu9H+nrpLAi5iPOYQCkcb1hncqUaUs8t7p+gyrVMTenW7V/GevHv8X5ney5K6SdKGf+gXkMtiL35otAmw5M2lnSIhAXp+FqeftbHtVxWA2OvShYjmQGQS2P9HiWl9hoAd5qvzOUcfTW896YlpVJJ3ego6UG4Ao0nKMddOsY1cRnw+sHrALxxMH4m7E77XTyp2MvX2afCai7Zu6A69q5Zsz2ndsqRx+E7FhnakZLOyb5brNeC4zZFhN5nevH515e+AFcMz2ELl8QS5Ev74xILhn6ak1kKf0Jzz/Wyvi+6Yj711g8C3/0PP8tf/fnffqDnLFyPpXQPyldo9puDvbnmrrBjO+S9xdmjFxoy19fahonLH8BYmIealJZNBnSSfTc2ncyq/vg6mi2vxj45K5WzjoTRc0ots7G6Qiull4OUZuQCLFWQUoco1wFNK96DPKOiOiTuUCktOu9+cP052t4GP6G+mY/L3ze20RFAxRDaHUvy0s5vIxA8u/Ls4PlCebpvuuDu9xKqQv+7UX2fPsjx8eWwRukk5DKno1Js6XKlPv7aqocuB1kFSyk6FzUzcEYkcoxSWvUp5S73T/i7C6W01Nff2TW3M5ea0lhI9i2LfvsSd+BVio7KcXMHpKtHP01QhqMsInRCal5xfyxGMgMgM6TUH0nMVRydkLm98/JczhEzOyntpT0Uimp0AKtPw8qTVKIWCkUvuxyNPAoyOpGU9u6znudss8IBFVZkzt4FNTrqmmHxntc45cjjCFx7xL47HzJXKKUWxxOWllFzO+dNeklJLA7X5znMVu6xxBIPCnEmSYXExx77/FZF37udh0gpfflum99598ESwML16MU7UN44RErrfsPUlC6V0qlQ1JOuf0D//6NMSk9tdMSQlB5ManR0ilJ6NdCKQaXcOfNImEhYWGbD9myP5LLMKZUZumfZ0L4byRpCKQ76+2CCnMRfGbzk5ebLPFZ5jKpXpVHy+aH423lFPT6x0VHF8/Gly65t8/Lu7/JE7YlDdcSjY2GSTNJNcnyhlYT6ynV9kO0TKDWYSXsSino1kQds1Y93twNohC4ZLmWl6C1I05VYpgRK4fnDz7xR9XHSgG2yiU0PCqXUi7S6vGXPh5T2LUVkWew2H8ww5fcEaY+2LbClC9IjEgKyyaQ0cAI93oTFqiktlFJ/5L6qhY8DcOdgcufmWZAwtDVnU47bKO7FSrcJq++HleuUzZihy9CBVynFG/taKb01iZT2m5qUqgbVlSus5JLmBV07HfO+gbtyypHH4TsWmA628+q+G5u11RbHx3IFtmk0d87yiTTpElsWnjVcNx1zvsuS+Fji8qCf5qRC4Yvx8VIj0PFw17IeGqX0IEq5c/Bge6xst2OqgYPV3SEtr9FKWgNSuhqssm+DWHbfnQ4FtyqtQ/nKo0tKU5kSZRHlCWSyQMlsNq0JWaNiSHbNn2DfNRZQ32vR7Cbks3rfs8QopXqj8yyf+NIopSm5GDY6qgYOPVWmKiUHSQt62g6Wj5DSG80bPLeiveer5WF2ehIpLXkOfh6wa9u8tPfyIesuwFZJKzr3uvfYj3T2SygduNYbes6s5bgESpFMkfluJzrrk+chW7XxpLQe6gRDWQk6E0jIg0YqU1wJnjtUFa5UA0Ra5b5tQ3e85a/dz3AsgW3q1DadDlF6zpqwPKNnejBsH7xzvvdaZMRt2paFLX2UMqT0BKW05JSwLZuKW1ksUmqstYE3tG3WKk9jK8U7B5M7N09/gpRIDJsmTUtKi3ux0tkxSul1KqYM4zJ04N2L92gZ4n1r96Wxx2ynLVZzCEo1yo0NVvKcvQtq9NQ1wUUtOFtNKcYxk89QM3wS+ub3t8aQ0tCM++qe03HQ6hjLsj1c610TM0Rz6Oy7xBLzRJxJEgt8Mb7cybEdLOnqJmAPASlNc0knztjpxGT5g+t4vd2O2aw40NthL9T7XkFKN8I1ejbkC9IvZOFRrJN+FWrXHl1S2jO1W1X35A20ZDabVjJ+g+kjsRQEzpi6FWCr9iQArvUuUkGzO2O9TB4TWUP7rmf7pELAnOpu3lMMakp1hrzsOXRFQF1KDtIOGFVDmgLyKIt4q/0Wz61qUtoo6YW15OlxOeMQejZOHnLLdXi3d+8YKR1VSvd7OkOfSa3QNio6oSCcgEBJEnl6Nq4IhFNZmaiU1ovPrQTdKWefXjQSleIpPS+wwEbVJ8/qtG2LaH+8EtPup9RCF2EWkg2rfX6lNOnoGYLATvtimrIsBAwp9USIkh6xZZFPaMLTz/qDYec1r7ZQ9t1c6bXIH2ka51SvciXPeeeEzs1TI+nqzD0gFORTjtsolNKqkrD2fmg8ORjxdRk68N4ynXVX85xbrTfHHrObRVSVy1YjpFRp0MgVe1l07ppa9eLfR/3Wzx56rFj7Gmchpa5FESpkc2p0FJug2raOr8Oh6RTdnbCvT4tWR+9Rvj0se3CFIaUL0ll9iSUK9OOYRIBvjSelAJby9Xr7ENh3i5hNKtg+ixPxjNjuxFwvJaAku6bJ6ZpxRV4p6/9v54v//S0Ein49Qe0QKf3NO7/Jh37lQ6Rzcs6MYiFJabGBnjgSBrCdAF8Ojz+KmBxfjm+vDbC5oofpIvUXPbOFN0+JhECgNzrf9kgEl8e+K8AyRfeWJbC9MjWpOEh75B2jzpX0Tf7a3mtIJQdK6UpJE/VJKimgZ2emJV7z9LFHSWnZLVNxK9zr3WPPJAxi2SJQw+HSwvEIpSKRpycCOuY6yVSNajB+4S+U0hI2nQVJLqQqx1VGsTC4UvXppbqZ1Pbu+NrAdj+j5luDNt5rHJyblMa9A3qGhDTNaKBLCUNKA7uCQAe1kwLZwr4LUPNrC6WUSkNKA29IRtzaOlfTjDvzqF9Munr+pbLwlCAV05HSgVIqpbHvPnWpSGlRR/oNvYg7yf4g0VogzVP2yAiygKv1gLVqSJjbxOSDbs7T4NZOl7ebh9/7e7/wv/M/f/Ivwm//88FjhZtoJTyLUqpJqaXUHEmpTvBY4vi4tmLf72bnU8xbPX2/js7odYwKGy2VkiUWDEm/R2QJgjEzSgvYBHSEgHMmbB4EDqJh/HT3AVp4d9ox10O9JjYdHc8V3Xe3KmYqhHz43TgPBAOltCCl75LJjL/+mb/Op979FLvR5OkPZ8VCktLCvlX1TtlAnZCyhG42SSnN8dR4QgrgNZ5gLcuJMl1zN3OzoyymL6xBXYzv+KRCId7LJgo7r8JLv3D+95EZmRCIkaL7SuBSkdDO+8RtTUqtkrbvFp13C6V0xSiOk5ocAYSeQ5YOFZyjpBR0s6O73bvcM79NL+9SF8PPZLlaKU2nUDVbRhkSztrEYwpSGuDQVfPPAp0FCRmuEiY41Nio+uylWi2+23xt7OtaUcpjfg9MNmuFFr1zjoTptQ/omSTP/gnjaB52ZP19upZF4NQQJnCeZPmLsogwS+EL/0wrpQtESjOMUuoP19JaGLCaWdydsG7OBKOU+ng4WGTTKqVGKdOk9CldU2rKJy6DffeNgzfwleLrIr0uvdU+bJXeLe6dLGSrHrBe9fFyHYw2p0wWJJnkO378M/yFn/vCocdftiT/olrhlV/4ENz8VQA6hhSvhrN33xVC4DnaMzO3kTBpoZQeJ6UVU7ZzlMjPio5pZjJaT+2aetX+kpQusWDI4h59IfCt45b2Ajalh6bRUaGUAtxrPThSut2OedzV30/TJPIL++5VQ0o7Kgb54CzFDy0K11dBSvv7/PzLPztIup53jR6HhSSlRab8NKVUuD4lOTmIiYU8kZRS3WIrz2hlmmDNqpTmWURiiUG217d9UgvEe6mw/ebfg5//78//PnlKDgP7LmjVsyItDmRMZpRSp6pv8hvNG1TcCo9VHgNgxdSUVk9QSkuezX6mLbprymI9OE4WN8ub3Ove48U3mpQ8m7bq0xixfAlXNzpKp7HvtrUi7gTjx8EANIzC6yuXzpzqp86LVOW4UuDZw9t1veJzkGj7+RsTGta0+xlPOMPga0WdXyk9aO8gDSltp4tDvuaNbk9f32WvgRB6HZqkrkR5RNi6A//qzy+efbcgpSNraTVwqGUu2yo+v/KVdIzN2cNRgmxKpXRg3/VqUFqF0ioVY4G+DI2Obh3c5Ik05akkNf9969DzO2b0S5pUuFoPWSt72Lle1/amtJb+3597l3f3I165N/J9KUXXbHkfubIFP/MdcPvzg/r4tdLspBQgcCwcBZmaT/fd2AQzjn2clNaM1bx7zpr+TqTv13DEuu45xb28+ErTEo8WUkNKQ2cyKXWs8kPT6GhvhJQ+KKW0n+a044yrrr6/myZJWpDStVDHmE3beijU5vccA1Jaheo1IiH48Bd+jMCUTl5EAnkxSWlSBCwnK6XCDankkl42/gbto3DlCX9iZZOtLGcn1RnVWUlp32yaRbY3dAIyobDeS1Ka9fX/zguZkwlxiJRWA4dQOhzIhKyzQ6xcgpL+jV7Ze4VnV54dWKUH9t0TlNKSZxNnerF4PurCb3/02DGbpU3u9e7x66/v8NXX6xzIlMZIgG07mpRm05DSjlbES+XHJh5TNjWwLi5dtRiZtASJgzCD5TU8x6LurVOS8Hr3ztjXtfsZj9kmwK1sUZUH555Tut/ZHvy7c4nrMva6+u+shWvYRl2JJmxiURoRSglJm5rtL5RSKsnwpcKyRu9jlyANkQK2e9snvHoKFEqpCHGwyJmuHnJg3zUNyxCCck13Bb4U9t2913gqSXnSLiGUOjYWZsckyJJ0hc2aVkrJtLV0b4r5nLlUfOTXdHffZjdhv6f3HBm36AhB1fL4FSfnpcoq/JM/QpTsYytYCY+TwGnguzYWcxwJU5BS53jiuVp0GT2n46hnAqpwpMmXZ/pUnLeJ0hJLzBtZHBFZFsGYRE0B3y7RtuyHRCkdse+2Hox7sHA7bgh9f++qFNdyB5M8CnLatG1YduA9HUdqSv9Jrcr9uMl3/Z7vAs5fYjEOi0lKp1RKLTegqiTRhC+mLxSeGj/zCQDH5you97IuviMG842mRZTojbWw9wWFfXeK+sYLQ57Op9FSMRJGHLbvBtKmRU7W2aVJlUrg0k7auvOuse7CsNFR1Z9ctB+6NirTQcLz3gr80vfDkWYym+VNdqIdXt9u8Y2PWxxYFvWRIMNyC1J6+t/cMgF4ufHkxGOEENRDVzcUOEFkf5BIkdjq+K26WQ25ljncTMfP3Gr3U7aECXCvfhnVfP/cSmmrO7TsduTlHauw09JKVqO8jm3rDS2aQJaiLCIwimNNiYUipTkZ/pHGObXQwUn1fXe7e75uenm/TUcIfEuT0lRMT0odpQhWnh48Vm5cBx5+UprkCe/27nE9zXg9/L1czXLeONKBd7uwP+XrXK0HrJd9ZK6vs2nsu//qi3d4Y6fLH/m9el7z69t63ey176KE4I+t/XtU3Soffvb3gZJEeQ9fWtTDyfVqJ8F3LGwl5qeUZoVSenyGeM0LEQo659xHo76+jkr+cL/wXf3vTn9x7tElloChfTd0xzdhBAjsEh3xcKh8hX23HroPzL5bNFRaVQdgOTSzLmvh2kAsqXpVhBJaKV2S0tMRt0HY4JbYD6r8RL3GN9Se4evf9/XAI6iUnjan1PLK1KQkmqDY9IXCPYmUAltuhR45a1U5c01pVGyslibPgeOjBMj3UinNddcx8nPa8mRGLsAamZlV9R0c6SKBXrTNvqpQ8R0+8oWP0M/6fMsz3zI4djql1EEmOnP15V/5p6B9Gz71I4eO2SxtolAIp83XbKQc2BaNcGjztdwAXypSdfpvt9fdpSwltfXHTzyuEbpY0qdrCeR5v8c5IBESZwwp3aj6rGQlbqrx11urn7FBE4QFVz5IOTugn5yvTrYVDQPmzhTf+cOKbUO+1+tXsW1N4HoTLFNRFhGa66SWZ8R5TPxe1pWPIBcZ3hGeWA1cSOsAvNM+31ifuNfWtbd2GQeHbEpS2on3qUiJWH9m8Jizcp1QKroPgTXtJLzdfpscyVNpyk/e/wBPpSm39g/Xfe+09Pd+kK6bmlKPLNOE6TT7rpSKD/+b13jmSoU/8w26Wd/Nbf2ddcz4p2ulTf7El/wJfvXei/zOf/Y3adsujrSpTWjwdhoC18ZmfvbdftZHKIU1Rikt+w6utOmpFNKzB7NFEqkUjJBSU1vdWdp3l1gwpEmHTAhK7vFETYGSW6ZrCdSETvCLhP0owbYEz1ypcOfgwYzX2zExfDXfg/IGzf7eQB0F3bjTVyF7S6V0OsQtbd0Vgh9/++N0LcGfrX3psBndZSWlu9EuH/78h/nhF3+YH/j0D/Bzr/4cABXvFFLql6nLjDgfr9jEglNJ6aavL9h6rXdm+25RFxOaDpzZpAY5cQf+1Z8fSuIXgYIQnzcolqkeCSMO23dt04yjG+/RVFX20nf46Zd+mj/87B/mg2sfHBxbzCk9qftuybdR6Tr/61f/Y37/V/638GXfBr/+t6E5rJHcKuv6z0q5w3VvXyulpSuD54XtESpJNoGYjWI/0oHwyurGicfVQhcp9W/Zi8bPAH2QSFA4Y67jK1UfL1lh2xa0eoc/Zy4VnThjLd/RQ4+rW1jkhHmb9Bwzw4qB9kJBW7z3hP2isG+apGzVN7CNuhKNWYCVUvTzPmGu7/maCaIXpa40Fzk+hyX/iu+QJOvYSvH2/vh65GmRRG06liBwq0YpZaoGEu3OPdPkaKiUsnKdiszp9N77e+48KOpHH08Vn86/lOtpxpu9u4dGvex077CS5+yqNbZqAatlj66s4knF3il//ydu3OfG3TYf+v3v58m1Eo4luLmjr812T5coVMI1/vgLf5yaV+PDt/81r659DQf5KtUTkoQnwXcsLAT5nEhpkvUJlMIaowqVPAclfbpCwK1PnfkcfXO/VkqNwWNhoP89KcG0xBLvFfpmzyj5kx2CFbdCZAnyaDH2l5Ow30uphy5b9YB7D8q+a2L4Uto0pLR5iJQC+FTYtayLjcMvC+I2+DVud27zT1/5Wb45SvlAPxokTi4tKb3bu8tHvvARPvrKR/n07U+T5Anf9NQ3DYppJ8HxSzRkSjyhvXNfgMspSqmZhVkqtWdWSvumdrMYzl0yG2wq1Hil8p0X4cUfh3d+c6bzzAQTHJ97LI3MyQUIhkFMxXcg00X43fSAJmX+8at/m9AJ+d6v/N5DLx/Yd09SSl392zScx7S94g/8NbA9+PhfGRyzWdK/zweu5fTabyGFGMwoBcDx8JUi43QFsJ12CHOLrfrJdVX10CUzTUcK5eG9RCLAHnMdb1R9+j1NsG/ePnxNdWJ9/TWyHahdhbI+bk20zmXhLeq0arlN25pPgLqIODB/5+MrawRFc5QxjVcSmSCVxE/0/VaL9Vq0CBZeKRW5ON6B3LYEkbPOVpbz1v74zs3TIo20Ulr26tg4xFPOae5EO1Sl0uNgCpgOvJ3ewz1q6I2WtuaW5Qp3WOV9uaAnU+6P/F070Q5reU7PX6fsO/iOTew2WJE5TUMsx0EpxY/+m9d4fDXkm7/8Gq5t8cRaaaiUmhKFSrhKxavwnV/6nXzynU/ydnKLXIYnOldOgrbvQjanOvt+3sdXCss93tSl7NvEskzXduHl//fs5yjmnZeGQanv1RBK0UsfjHKzxBLTIi5GIZ4gxlS8MrmA3kOg9O/3Uholl61awN2D/rnnL0+DIob34t3JpNSqLWtKp0VfK6V/5/N/B4Hge2hA6/blV0qfX32ez/9Xn+cz3/EZPvFHP8HPf8vP88Nf/8MT54sWsLwSVamQZGPtcj0LXE62K12tPgFA4O/NXlNqxpB4oiCleoPVgdkYUljcBNkF2nsHSun5bJoqT8mFOGzfDVxkaoaP5x0+WxL8f9uf4UNf8aFjN/56xafk2Vw9gQCWPP3eA5JUuwpf/xd0IPLqrwCQJVqlurYWc7Cvxyo0au8bvomta0ol+amdRDt5hC9ttuonJzsaJZd+qj937z1WbTKZIQU4HA8mN6o+rb7+Lm7ePzwWot3Xv3812YbaY4N5squ0z9XsqGgqtqJCWguxelwMOmaxfaKxSsmMqIjGBLLFY16i14JqT9/ji0BKk1ySC3lMKQWI3BWeyFLeab99rnNkUYuOZVH26zjCJmVKUtrXrgXWRpXSJ6koSSearvvsouKNgze4oiy2s3VAUJV6bSzIKsBOvM96LvFrQ9eHDBqs5pK9E5pP/dvXdvjC2/v8mW94P47pxv30eoWbpqa0bebGVcr6ff/Y83+MFX+FSO5jqQDXPttNG7g2FoJsTo2O4qwgpZOU0oBWaRVe/kU4YzAb5/rerJaHe5MbVAiVIrqAUQZLLHEeJGZvLfuTSWnRmbqzIE6ck7AfJTRCTUqjNKfVv3hn1U4nZqXkYnV3UOUNdqNd1o5MdQjsFfaWNaXTIW7xehDyC6//At/xwnewVX0ftN4lsAMsYV3ekTC2sLGtkxXNsXBLVI1VrH208Fsp+kLgqpMzw+uN6zhK4Yq7NLsxuZx+A+wb4ukfUUpjIcYrlcVCcpH1ZnOy72bmfUZJaSVwUFLL9vv0+eX1XZ6uP823Pf9tx14fuDaf+PPfwB/9qvcde65A6Onf/NDszK/577R68rG/BFnCb70Vo6RHtdJlv6ObsozWlOL4BOY3O62Or6cSHOmyXpncch20UtpJzHiK95iUFn/TJKX0fvIkvpTc3DuseLUi/Z2W4vtQPaqUnn1zKCxxq6LGgW2hkssZ3HVlhFCwGtYpe/qaj/IxpNSopxXzO5XN/N5FsO8muSS3JN4YUtoOrvJ4mvFW93xOgH7UIhWCalDHFQ6JEFMlxNpph6qwIVwZPth4grJUdGch9P/gm+GTf+sMn/zicOvgFteThDcyPS4rSa4OHi+wk3Wp5xZXGiMBaLjGSp6zd0Kjox/916+xWfMHDY4A3r9R5s3dnrbs97XtvGocQGW3zHd+6XcC4Iqzdd4FY99VgnzKObSnIcpiY989/pnKno3KAw7cKrTvwJ3Pn+kcsenI3qgMrzEnKBNKRe+c42aWWGIa/P0v/n0+e/ezUx0bm701PGHqRCMw3aMfgqTKXjflv4n/EV+7/TPAg5lVut2O2ah40L1Pt9QgkckxwaTkrmuldAH26AI/+Os/yE/99k9d2PtLJfnJ3/7J2ZPlcYvPuRYKxbc+9616Vmn7DkIIyk758iqlZ4Yb6mw7x0mpzFP6loVzilJq1x5jI8+R3EMq3V5/WkQFKTVzpcJRpXQcKS087OdUMU9CJlMiIc6txmbGmmxZhxsdZZlWjX68XqXtJXzfv/99uNb47/hqPTwxM18ypPSQcuf48E1/A3ZfhY//ZT5zs4nIGyTssW/sb3W/Pjze9ghMJn2cvXIUPZHjqADbOlmBr4cu7YKU9ndPPPaiUZDScdfxZi3gntrQXT47hxvWtPspATFu2jL2XR0gn9e+2zcdd9ecVTIhaLffPfN7LTJ6sk+odGOEiqmfiMaMWiqIatnYGmstbb1cCKU0k2RC4o1JaByUr3M1ExzkEQcT5q9Og655bd2rYAvXkNIplNI8ouIeCb7ckKrlDVTqqfDOZ+H252b5yBcKZca/PBVHvK2u8OxmhTe7VylJya29VwbH7MiYMPO4WhsqhU5llRUpaU64dj57q8ln3mjy3f/B0/jO8Dd9eqNMkkve2esNSGmlPJzF/G3PfRseK/hi/cx/l+/YWErM0b4b61FF3h+OdgYAACAASURBVBil1HdQ0qNtu7pJ242zWXiTvI+tFJVgSHy9oEyo5CChvMQSF4n/8/Mf5l/e+Jmpjk3NFIngBPvuimna1ZvQR2WRcBClfE3v13jyrna9PYhZpdvtmMcrErI+TaM4r4aHSWnNX6NrWXS6i9G74HP3P8dHX/0on3jrExd2jlf3XuVH/t2P8LGbvzjbC+M2+7bmAOvhOlSvQec+ZAklt7QkpcfghgOl9OjA9aJo3BWntMCvXeVqltHLNfmYpdnRgJSaOaVFDWwyyb5bZGbOW+95An5C7fPt17bOPRYmN8TZFkMyVA0cMqlJ6S3PZat7la+79nVnPkfZ2He7R0nSB/4gfN3/AC/+OBuv/DQNb517vXscGGtawx82rsDMKYVTlFKZ0xHgWiePGQJNSnu5Xvy777GVMM4KpfQ4KX1yrUSKw5O5zRvJYfLc7mdsCaO4VK8N7LtrtIjSs5PSQn1Yc7Xyenf3rTO/1yIjIqVkZhyXPR9bKaIxIyqKREigFE1VYdXMN10cUqrwxyzz5TAAqYnLeTrwdlKdDKyH1YFSmk/RMbUjM6pB49jjZbc8/XzKNIK0C73TR6g8KOz2d2mnbZ5KU95WG/zBD27yqnyMJ9OMW7s3AH1tJCisLGBzpJTAq6xrpXTCSJx/+BtvslJy+S+/+olDjz+9oYOvm9vd4fzXke+25JZ4Lvshrspv4awIXAuBIJ8bKU0IlMIeY98tezZIn14ew+Nfoy28Z0AiEwLFocSo5/sEiiUpXeLCkcucSCa0plT6U6n3ktG5ukexEprxZPmDGbFyHuz3Eir5AWGk56jffQBK6U4n4XqgiVLTJLyOKqUrZm3c6ZxzRvec8JHPfwQ4/3i2k7C7+zIAt9765Gwv7Lc4sC1CJyRwAq2UoqBzl7JbppddUvvumeGWqBjrZjs9rJQWXUJdTiGl1atsZjkHuc4wz0JK+yZIDczGWiim8SSlsn/x9t3bpNxx7DnYd/XrR5XSSuDQV2VCKfGk4tnO157rHOFAKR1jJ/0DP0jviW/kf8z+Hh/wXe5277Kf6N/0ECkdUUr7Y5SsArJzn44l8OzJC36BeugSGVLaicfPAH1Q6JvNxxFjlNJqgO9YbMkS78r4kL+/HadcLUhp7SrYLplXZ/WcSmmsEnwJjVDXrN3Zu6SkVGSUTB1v6Nr4Uugg+ehxpqY0lJJX1OPUTF3zIth301ySCoUnjiul1cBhL9NNht42Ct5Z0DPr7mpQw7Y8EgFZevLaI5MeHQGV0nHlruI36Kgp7eW93cP/vwAoLLpPpRlvc4X/6IVNXlPXuJ6mvNHS98quSa6RVrg6QkpL9XVWc0lPJmMTbDfutviq66uDWvwCT6/rRNvr2x26aQdbKULnsC2223epBSfX0p+EgVI6J/tuXyb4SuF4x+27Win16ec9eO6b4N4XYX/2dSZRCf6RchzfsfEk9Kfo1r7EEudBMZ3hYMrAPTWum8CfbN9dL2uXWCTy84/9u0AkmSRJYgLZxe7ew0Jy74KVUqUU2+2Y646OE3ddHTMdJaWrpsZ09xyCw8dvfZw/96t/7syvL/D5+5/nN+78BuvhOtu9bdJTXJR/6qde5F98bvYk8u6O3uNv7s3YbT9usydG3Im1x/T/m2ZHS6X0KLzSRPtuZP77VKW0vMFWLtmVXWC2WaV9cwGFRiH1bUNKrVOU0gu076ZKTibFMyCThpSOkKGK79BRIV/fi/ize/u49snzPk+D51g4lhhPkiybf/nsD/GWusKXb7/ITrRNM+8j0AOQBxipKe2fkD3sHbyJFILQX514TIFGyaOb65uw9x4PqU6M4u2MuY4tS/DkWomK+ayjjVRaUcYmZtGtXgMgD9dZFy168dk3s1glBEqwYuyB2607Z36vRUZPSEomoRV6Np4S9Mbct8U1FyrFy/J92EDFDhZGKU0thTemSVYtcHk1/hIA3nr3M2c+R98EUqthFc/S9t00OaW2e/sGSgiq5avHniuHq3QEqGnmU3Z3uOk6Q5K3ACjuwetpSlp9gg9erfEOm1xPc+6kB/SzPtumDCHL64eartUaK9RyvZYdnVWaS8Wt3d6AgI5itexRD13e2OnSznpUsI41CWxH6ZnHwQD4rgVKkM2pg2YsU01Kx3TfLbk2SgbEskf67B/SD778sZnPkar0WOfpwLXxlaAvL24PXmIJgJ65h1tyupgyNccF/nEHSYENQ0o7QsACjzXajxIa6NhJqJwPlLrcuWCltJvkRGnOdTRpa5rROkdJ6YZxjTXTs5etfPrdT/PLb/7yqc01T8OPfeHHWPFX+K7f810oFHd7k3s87HUTPnHjPr/4xdn7QNy8r5N6N2cpR8tiyGMOhBwKQTUdS9K6vbTvjoVbojbBvtszFihHnJIdtmy27BIpEmF3Z1JKe2YeaWDmk3q2DmInK6VF992LU0oTJZFCkJ2zkcOg0ZE1at916RLwt7Z3+ROtNtkUBO80hJ49Ubn7tbdS/rL/P7GVZ+RK8prrUjNdvwawPXxjKTtJKd3ZuQVApXTyjFLQSmlXGqV0WlLavnchc68GSqk9vjnTk2tlZN+MhRmZOdnup0P7bk0H/6q0xirnVErJ8JXFWl1nzHa7i2GBmSe6cUbPUpQt/Z0Hro0rBdGY+cOFfTeUileVbj5Ts/yFIKVxJkkF+OI4GakGDp/pf4CNLOftnZfOfI7IWM7WSnUcy5uKlHbM+Sq1403QKuUrKCGIdl89/eS9XT60eYUfDeVUs1EfBG4d3CLAop57NNY2CVyba2t1VmUFBbzZepOd1psAxOnqIaV0rRLgmTnQzSPNjm7vR6jar/Gm/OixcwoheHqjzM3tLp28T+XItp5LrSCslk5J0J6AwLVBCXLmRUozXAWee1zFL/k2ee8pFJKPtV6F9WfPNBomITtGSn3HwpWCeFo1foklzoieKStoTXmtZUrv9YFprDcOGyWTLLesxSalvZQ1MYydXih3Llwp3TGC0tX0LfCqNI2r4ygpvTIgpWf//nbM/Pr9czjpvrD9BT59+9P8yS/9kzzTeAaAO53JSf7XzNivl+/NLpTsdHSvi3sqIp02IWfGDu2pbISUmkRy6/ay0dFYjDQ66hy5wCJzw3rWyZ1WAa6aL9wPWjONhYlkiiPBdzRx862TR8IoQ1ryU+xt50FibsT/n703j5I0O8s7f/dbY8+MXCoza++qrupFUrd2GnWLlsCWwWaZwSAQRsBgY/v4zBifY47NcDzYPmbkBZtzsA9qPHgZLCEMNqsOIEDLIDW9SK1Wr+qt9sysqtxj//Z754/7RWRmZERkRGZWV7bo55/qzoyMiMz4vnvv8z7P+7zhPi+WJLWGdPeUNtSm3Urlyjt+blTkHLPniBKlFE9cXOP4nfcx+4Cegfqq4zDeHY5iOmTbPaUDyP7NNX0QHEtVw0EYy9oobFyphr/pPvnX4dM/OdxjR0AYte27vQ+UpydzrDamsZTi0soLna/X/ZijZgXcErTtQPkpHXS0n55SkeAqi+nxUwBUBiSFvlGxUm3SMgSF1AKZtU1sZeD1GIfRIaVK8ZpMSakw9hUedFAIE0kowOkRRFbM2FRllhPC4do+eln8tMe45BawDXeontJ6SjgL5dOADqeopSOM8un92Vjb3VKsmmssWSbLpgn+7bXZt3G5eplTOFxX05ya0v1f544UINKFoyu1K6xW9VpUj48wV9pcT6eLDlai95BupfTyahOn/BgXWn/e83XPTBW4tNqgkYQUuz7vl27UqAcx7zq19/XatQzEQSqlKsGWAtfaeQRxTAPhnWfMPMYnvv4J1PlvhyuPjjzCISTBUdufXxeYDHy+cWcsv4nDgWZKXKpDWt4Tpc8v3db7rSim6l/DEBAcblJa3kJKz7mVW95TupIKSpOtyzB9nnV/naJd7IhFbRwt6rW4Ivf+ftZSxXE/Lp1Hnn2EslvmB+/6QY7m9b43qK/0tSX9eV9da9Ec0e22EehzmhQjZEik621VhpukNDMOdq5j3/2GHQmzZ9g5ckqB2mnfbdsubWP3GPzZrI7PLxYao6XvyhhXCWxTV2PbPaVhn/TdVl0fNK6v3boDVJiqhsE+R3XEab+saXaRUvTfM8bEyIz1/NlRkHOsniTp1aUGa82QB85OMnPu2wG4bluMdSWpYbm47fTdHiM72lir6Jt9auJk38e0MZ7Tv3NOQWNYxXnjClz47IFbs/202GL3Ka6cmsxzLZ7mZBRzaf3lztdrfsxxcwOKc7y8/jI/+fmfJMpPMCFqvXt4h0RoSDJYTE0cx1aKWnj7yddBY31jnbphULQ1qcjYJpY08HocZDs9pUoSuBOsqhL5RB0OpTRKCAxBpgcpLWW1ejqXmWYhacEe50/66HWiYBewTYdECIKg/z1T8yNevaav00cerfDun/ss7/m/P8sDH/scv/SFC2Tymtg3Ni7u+tqNxnViIagYxqEJO7pSu8LpKOJKMs3pSa14nJ8pstLUh47LGxdZrS/iSklDTHc+B4DJvAuJ/plupfTZG5cxnA38pPdB9Mx0nqVaQF1FFIzth7DHLurD8Tefnez1o0PBtQxQBvFBKaUqxlIGTg9SKoQg51iccb+Dl9Zf4quz50BGen0dAZqUbldiM7aBqQyCN0npm7jFaKUqWlMwlDoVpX3O7cDMXsiYGYQSNA+9UhoyweaZ/JRdueUjYdqtd4X6RZi6i3V/ncnszjXvSL6EJQXVffSVt5XS7nV6WDy/8jx/vvjn/MhbfoScnWM2P4tAcL3Rn5ReWN78vEdVS+txA5Gek6+mTp1d0VZKE3+TlAqRjoVJ7bvxm0rpdthZDMBR1k6lNFW4HGP3cIfZorYiOm5tpAqEn1Z72+l+7Z5Svw8pFUFbKb11IQtRemgI95mKlcQ77btZ26SF/ntWKVLYR49SGznH7Nnj2D5Ive/sJDO5mc7Xx/Mz2x+4JehokFJabWr7wrGJnX1s3RjLtkmpGI6URh6Edd0zvDDcTLJhEYb6OjbN3sWV05N5rqspzkYRl+qbYSA1P2JWbEBpjl976df4/Pznec21mKBOK9g7cfaFwhUO48Us44mkltzenttbgfWNVRqGYDxVmLOOgSlN/B4V705PqVQcn53mupqkEIaHIuiolSqWrrlTZS9m9DU+XTjLsmng7XEWpI++dwtOASc9TPlh/43q5z/zCvM3tM283rL4wF3T/F/feS/vPzfFz//xK3zsc3qTr29c2fW1N1KrU8U0DkXYUZiELDYWOd2qMa+mOZ32f56bKXA1Oc5sHHNl7eustJaZSiSiOLet93Oq6CJjXQjpVkqfXv4qAPWohuyRgHt2Wr9WXSUUutaKxy+ucWY6z0xp70FHGdtEHCQpRWIp0ZOUAuRdi2nex7g7zidWn9Lp4SOm8IZCYtNNSk0saeEf0O/xjYY4kUTJ4bDCv9HR2uLeqA+h8ifofbktbvSCEAJTOTSE0SENhxHdSumcWGO1ERLGt+7aWm0EFGlht5Zg+i7W/LUd1l2AYtYmk1hURQx7cH5IJVn39D61V1L6yLOPMOaO8ZG7PwKAbdpMZ6cHk9KVBhN5vZe/fGO0z76Bz7lQX19Xq5d3eXSKoEYC1GKP8a1J+aWjbwYd9UU6eNuV1s6go/SPNYxSOl46iSsllr1OYwRS6qkESwmsLlLabySMmb5HdSt7Stv/7rOntB2wY26pugshOlbQdVWg4B4QKe1h333s4honJ3IcL+cYd8dx0vcx3h0CMGTQUTNdPE6Xd1cLMraJYxlklUGrxxiQHWgsb/73xYOdNdVRSvuQ0lOTORbVJHeEEdf8tc7nVvdjjrBOVJjl89c+D8BrRoIpFLT2mDonEzwDXOFSdC2KiaA+QJ1+o2J14wZKCCZSe3rGNjGVhdfjINuORM8oxem5GRbVFMXQOxRKaTNVcV2jFynV925h/O0ALFz60z29RkCMoQSO4WC3i3IDXBoVL2LM1oe1X/noQ/zb77+fv/nQHfzHj76bT/2tbyJraVL21dde5uLKYCVgIw0M2jDMQ0FKr9WuIZXkTOBpUjqpieL5mSIX5VHuiCKuVC6y6q8zlSTYpdltP593TCJVwlRqx2HncuN5QB+Ieh0EzkwXMEloCijYm2tFlEi+fHmdbz6zd5UUUqUU4+B6SpXElMa2eatbkXNM/Mjk+89/P1+Y//+YP/swvPYnIzlRQqGwukipZQgMZRKIN0lpL/zdTz7NP/zNZ2/32/iGQGtLYbI2gGy0ERNhKfrOfW/DwqVpHP6go0nS33/8FNNSiwzL9Vunlq7UA84Z6dz06btY99Z7ktKCa+EkDuuGgD3YT2tBjTjtE+4uHg6DF1Zf4EuLX+JH7/1R8vZmcN1cYY4bzQE9pUt13n9uirxj8srN0c4XLRFxKo4pJwlX1odM2w/q1A0Dhdp+7i5uktJYxp0z50HhDU5KtdXJkWYPUqovNsfs3zTehijNMRcnWOYKdX8UpVRiSwMnte9uBh2xM+hIKazo1o+ECdNDQxDtjyxEHVK6fYE0tpDS/AGQ0mwP+24iFU9eWuscpIQQzKQKaSeaug3THWokjJ8mrbUj1XfDeNbGUSaNYZrCmyv87NQEvzo2BhcOmJSmqlM/Unp0PItnFjiZCCSqY81oej5luc6XXbNDkF5JrX+Gt7eh0YlfpykMXCODEIK8NGjwjTfvb72uVfXJvN7QsraJIS28HgdZL/ZwMDCBU3NHuMkU5bB5KEhpK7XRZnqEZLXdAHbmHgDmr+9B4ZcJLUPiKhMhBG4a+OYNIKUyaGEKfU0Xu/rD33fnFL/0ET33WMRr/LPff3Hgy2+k/Tx10yA+BIFbW5N3r6kjnJzQe88dU3kuM8fpMOZKa4nVqM5EoiiPb+/xFEIQ2eOMJ5KNYPthZ0O+DOh9ple/8qnJHGOiRd0QFFLbOcDzi1WaYbIv6y7oUSoo40BMr1LpUUWmMnv2lIJWSltBzEfu/gimYfJreVv3OF17fOjXCYTC7prvLITAUhbxkJbKv2i4tNrg8y8vE7+plu4b3hZSWq0PQ0pj3CFqJRYZbd895D2lk0YdlRmD8inGYr0+78fCm0jFP/6fz/FyH0K2Ug94e0bv3Uxr+24vUupYBnaSZcM0Ru5Th03rLuxNKf3VF3+VklPqqKRtHM0f7auUNoOY61Wfc0cK3DVb5KWbwyulVS+ibiqysaXnZVd2b40BwK/pvxFdYlDpKNRvkE/PpAetlr6xSanpkGCSkcYO+26rQ0p3RujvQHGOmSRBibWRlFIfiaWMHfbdnkpp7GO2U9j2Oa6lL5QiFG0r6/7su2FakTa7rCS5bIYQmw1VPBil1DZ39Dg+u1Ch5sfbDlKz6QiSHUqpaWGnCYuDlNJQ9j4I98NY1sZRNs1hkvOaK3wul+WPJmfg+tegeXCqTSslpa7du7hiGoIT5TwTUpPti1W94FjeKiaSP43Xydt57pu6j1cC/b7MPTbntxpVmoYgkxZ6ctKmLr7xUiyrKcFp9y9nHRMhbW3L7+q99GOfDCZN5VLIuni5OcqJnjPZa9bk6wkvXRMzPexg544UEALWqjplen79ldFfIGzSNAxclQa9pQpdOKAgVvIXqRl6vSw4hR3fH8vo+zNn1ri5S1rjxpbkw2EOfbca7Rmlp6MYL3e8M4c5Y5tMTM4wm9g0VcTVuEEutpkZ31loStxxJmTCemvz4LNYv4m0Vph1dAGh2qOP27VMzo0lNA2DorM5i/nxi/pef2C/SqltaPuuYM/9x2207wtDmX3tu1nbpBkmTOem+Y7T38HvrD1L3cqMZOENRO855Ub6NW+fbqJvRNS8mEYQ8/Ubt7+o9kZHa8uZtNbcfYxHLHRGyW6wjRyNQ95TutGKmLGaXC1McrMwRc7Tv//N6t73xOW6z288Nc/vfq33Wr/aCLjXvgmmS1w6RiWoMNGdQZLCVnnWTXNPExPWtoxV2Qspna/Pc9/0fTv2v7nCHDdbN3u2Z7RdQ8XiOmdnLV6+UUMNaT2+enOFmiFI1Dino4irjcXh3mhQp5ru1T/725dZa08mKR0FGZNLQ2bfJKVbIQSR4ZKRO0fCeCkpc6zdlVKKs8zGMZ6o0hhBKfVQmHKTlBrCQCizd0/p1ov/gOXuDmRClFbTo30eiOOUOFtd1r+Ca7EhxripyrfMvvuJx6+Sd0w+ePeRztfafaU7SClgpnMYBymlAT62MrDNwdaYNsayNqa0aQyRnOfXFqmZJq8S6Z7eS18Y6jWGQSvY/To+NZlDhFMIBZcrWq3JeMtEwOcal3n4+MO8deqtvNa6gQScYG+ktNnYwDMMsul7ySqHuvjGq6g30qS6YhqSkLVNkDaeELp/eAu82CODoEmWnGvB2PHOmKrb3Vfqh21SupP8FDM2Z6byvHI9ZsxwmY/rUB9x/lnYpCEETnrIb1+jwYDD/kSwQMMQWMLsGejRVvkiERE3B2/4G1sOfZUhDn23Gperl5kxdfiePXV62/fOzRSwY31AilE4sbttHEwbMlNmIpFsbKnG/8nFxwB4b+l+oLdSCnDneEAiBIUtbpInLq1x10yRqcLuKfSD4FomShkkiH3vX+3ef0MZA5XSdir7R+/9KK24xW+feiu8+sdDv44vwO5hXTfTIoq3TzfRNxqUUtQ8XYx+8tLhCA57I6O5xb1XG8LJESNx2J2UOmbh0Nt3q17IlNHgHxXgY/F1rNYyJgk3qnu/59ouxpf6FExW6gF3igWYOk8lqqNQPZVSAJsi64aB8kYPHW0rpRkzs42gDotG1NjmZmnjaP4osYxZae28VnTyruSXXvn7LIhPUfPjodOMLy68hBICK3OMU1HMSlQbjkgGNTZMXVjdaNg8v5juOyWdwZNPMyveJKVdiI0M2YQddrlW5GErhW3v3lNK6ShzcUKTFo1geDLnC4WlzE76LoCBnSqlXRt38DqQ0iTUrw0EwwyfH4COUtoVklLMWPyt+B/z7+PvPZigI3c7Kb1R9fj0s9f58HtOdCyGsElKd9h3ASUsLCX6K6WRR2AkZNVwhBR0Aq8hbZpD9FAtp5bZSCVcLE4eqIW3bUN37f6K/6nJPAvhBMcT2VFKi+EKT2VcKnGLD53+EHdN3IWXBCxYFk6wt57Sak338OWcNABIZGkYat8DpA8bvPTvU8zpokjWNkE5eIaB7Arx8WIPVwkaKkPeMXEnT2+S0tts4Q3SQ0u/EQP3Hx/n2YUqJ/JHuWZbMP/kaC/QVkpFOs/VSZXSAcWhqXCBhmFQsAvbQn7aaPfY1A1ByV8cWA3e2OIG2dijJf0gcaV2hTuEyzol5qantn3v/EyRRmszpM1Icsz2CB4y8xOUk4SNLRX4x69/BZW4fN+NPwP6FzuOFfS1mXe1LTiMJV+5sr5v6y5opRQMIsG+E8bb67Qhrb5Kac4xaaYOmnsm7+HdM+/m16gTb+3fHwAZhwSG0ZuUptfrQSuljy0+9oZWX4NYEqa23Scu3f4e7Tc6to7LqA5BXiIjwVW9e6y3wjWLNMXhtu9uNCMmRJ0FIVlUIUIlHLNq+7LvDkNKTyTXOuNgYOeM0jZsY5zAMGi1hltPtqJNSs+On92TUtoIGz1dQnMFHcLZq6/0wkoD213HS1q82vhzMPyhw46uL+sRbGPlc5xM19ShEniDGhVLr58qyW2m/6azSgvpWag1wJV5ba3F519eGup9tvHGJ6Vmhlyyc05pK/bISonokTy5A9kysxKUgGayjpTDyeI+YEizo5SCnusZ7KKUiltl60tC/dqwb+tgLHvbdwsZm+ejY6xTOpCe0pxj0dpi3/3Vx64ileLHH7xj2+PaPaW9lNJYONhS9FVK49oSdcMgO0QScxulrI1MXJpCQDKYdC3XNxeRl46+BS5+fk+pbr3gRR6GUlgDiiunJ3Nciyc4EwZc3LhAlEjKcpU/yefIWVkePPogd5XvAuAVxyYX7q0KXmnoxTjvantgThRQQhyKmZwHCT9NFC7mNSnNOCZK6nXE75qH6cUeGaVokiHrmJRm7zg8pDRdE7N9rp37jo+xUg+YLp1l3rJh/sujvUDYoGEYuGmYXNu+O6iffTq6zobpUHB62+gtwyJruDQNg2NqiVo/54qUbGwJIavsIXDiIKGU0jNKo5hrcppTk9uLSOdmiiyFJ8im14aMSsyN7fxczMIk5USyseWeernyLIl3iuNrXwf6K6VTWX04UIa+P5+Zr+BHct/WXYCMZYIyU6V0f6S0szcpC8fso5Q6Fq1gs1j50Xs/yg3p8Tl3uCNLkP6NbNGD+KcJ8v4wBFIp/ul/fiePfuFnBz7sUvUSf+ezf4dPX/z0UO/vMKLqtdNfDb58ZZ1kyHPQm+iNVtzqWBxr3uD1KZGKWCgcdielWStH3TBI/EOcvutF2NSoI1lJwxDfUmhws7b3c2k9nWW9XA82raQplFI0GzUmoiWYvntXUuqYek1cb45GmEDbdx3D4WTp5J6CjhpRo2cbWWdWaY++0gvLDeam9O8UygC79CwvDRl2tJ7OxZ4qn2Ys0mvfcKS0TiUtNKskz8WVtCCfKqW59PobpJT+18cu83986mtDvc823vCkNDEz5KWkETa2VdWbsU9WKYQ1BCkVgllHK3CGXe05N7MXfKH7YraSUgNHE8MdSunmQUIc8CzLDpKoo5Tu276bEjG7KySluEUdLR5E0JFt4kcSKRXNIOZTT17l2986y4mJ7XbVu8p3YQmLE8UTO54jETa2En2JeGVlgbohOsmew2A86xDHDqEhCHfpwVzyNqttz+XGoXETlgaHtAwLP/ZwlcJ0+pPSU1N5FtQUZ8KIq/WrVFo+R8Qan8vnePj4w2SsDGfHz2IIg+fdItl4b3Nya2mvbD6NB89Z+vBb2cPCfisxbK9FL0ipiGTav5H2MWdtE5mSUq+LlPqxT0YqmmTJOxZHj54gk+j14Hbbd8N0s8j2uXbuP6E/RyM5wg3LIpp/YqTnrtV5XQAAIABJREFUV2GDpiFw0x7jjKP/DQesPRnZpGbYFPuQUoC8U6AhDE6IFTb6zY32K1RMAyfW7ofKbS6MrPlrNKIGp5r1NHl3+/p1fqbAJaXtUwBhPM7M2E5LbaY4RVkm1BOPKIlY99fZiOaZjWcY8/T1VO3jdMjb+vNuRvpv+/jFNYSAB870PpiNAtc2UJgkAj0zdB/oFA+lhWv3Sd91N5VSgIePP8wJs8AnC8MVFlvpyAanR0CcKfTXvCHuz+rGZX7bivit+cHp1M8s65FKV2pXhnp/hxFt6+77z01R9+O+itSbGA6txKckJTkpqQaD99wgToiExBW7k9K8XaBpGMTe4f18qs2AlqHXo424SQicy1RZ2iUnYBC25r283BX0U/NijstFBAqmzndGtkxmehfkXHsagPU9tH2seWtMZieZzEyOrJRGSUSQBNtSd9s4WkhJabMPKS3o1qxTcUJh8ileGTLsqNHSosnUxBnMqIRQm/kHA+HXqNguKAukw8W2UpqbAsMmn1qfB5HSpueThK2Rxkx9A5DSLEUpSVSyzTrTin2yUmEMQ0qB2ay2Wwm7MlxfqZR4hsCQNtYW+64pHHxhQLdqlyqlG6qAGGbMyF6QhNpexf6V0nbMs2VuJ55biejBKKV6EfaihP/x1Dw1P+ZvPnRmx+PeOfNOHv3Io50bdysSw8ZRoq91qrayQN0wKDrDJe+C7ikNY30AajYGk66ldGFK/Dm+1rZ3HtBomCAOcJXCGkBK9azSSc5GEZGMeW39Kn7uBhumyV8+/SEAMlaG06XTvOxmKCZ7U5XqKSErpuEBeUf/u16b39Pz3QrcbN7kPb/2Hr6eqkqjouJFSCMdwp3R14ttGijVTpbdTn682CMrExoqQ841OT1dwEs0Wb/dSmmU2mryTm/r9z1zJSxD0GqVSQTcWH5hR8/swOf3tFKaMXWxJ5NakgaRUksGNAxjICktOEXqlstJscxGq89a2VpjwzDIhvp5KvHttbJdTme/nW2sMq+OdGaUtqETeI9xOtIHfz+ZYiq/k5Tmy9NMpBv4RrDBV5f0fNIHDR3Zk5WyM3O5G46p1561QH8Oj19a5d65EuO54fbAQXAtA6UM4l4F1xExjFJacC2aQUwtVUdMw+T9uWNccGyQux9w6unYK6eHdd002qR09+Lcwk39938mrqEGvO6zS0/rx6++vOtzHla0ldIP3auLcW9aePeHVhyQU4KSVNSiweuTH0lCAxyx+5mq6BTwDEF4iElp4DVYMzbvlxXL5LRdHboPshe2TsboLpisNHzuFO1xMLsrpdmMtqCu76HtY9VbZSo7xURmgmbUHJhl0o22o7OXfTdn6/GHNxrb7btBnHB1rYllXuFYFPMD1RqxM8/zy8OFE7ZC/Tsemz7HhpxkVorhimdBnaplQ5IDBBfaI9oMA0pz5NPMh9aAsTrvW/oUf+T89EhTTd7wpFRaWcbSNMCtY2G8JCCnJIY9XMDDbEp2DLtCIxiiEpyE+EIg5PaNdZOUdh3M0qrsuipi3LKgo02ldL+kNEn7BJ2ukTBbw40OKugIdBXsv/z5Fd55cpx3nSr3fGyv6hJAYjg4ajNAoxut9RvUDYOx3PCKwVjWIk602tHo0Xi+FctRA0cKktYZrnpXSY7cc2B9pX7sp0pp/+v42HiWm2KaM+lw5FfXL3KlsEFGwUPHHuo87q7yXVxwDIrJ3lSlVhqfPp7X1ceiqws5S5Uh09xeB8zX5wmSgFc3hpzF1YWVeoAyAvJSYRqbVWsh9LXg+b1JaVspnStlaCb673PbSWmiN4us0zskK2Ob3D1XZHld31fXTOD6M0M/f9iq0RSCbGpFyrm59HUHkdKQRtfYkm7k7Tx1J8uJ3UipaWDERSwp2LjNvXwvrL4AwLnQ55o6wqkupdS1TNyJE9wVSoqJxHCOYxg7e2qL49OUE72fbfgbPHXzKZAOH1L6uhuTspMO3Y0k0dfbzXoWP0p4+mpl3/NJ28jYJkqZeiTMAdl3lbS25TFsxYfunUUBv/Anm/exa9jEMJRSW2tqUur2SN83jfReHkIpvbaiHS+rpsHi9f4918/e0N+b33ht1+c8rKj5Ef/U+lUenv84JydyPHn5zbCj/aAlA/IYjCGo7TINIYgTQqFwxe65FyVXr53N2+zE6Qc/SsjGGyxZm+fDZSfHMWONmzV/z06mtn234Fq81NVPuVIPOWcsooQJE2dY99cxhUnJLfV6KopZ3Q62F/ttWyltE95RnqMdyNqvKDuXn9uhlF5ZbSEVbKhlzsUJ36nyWApuJH9GGA8u0LXCmCSdF3t6apabqsypMBy6p3TdNEniLJN5h/VmyHrbuVQ8Sj7t7x+klJaDRe4wlqg1hyfu3xCktJQSqK19pV4SkJUKc0ilNF86QVFKhFUditVHYYNYCISyttl3LWFrUtpNPFOldJUxjFuklMaRj+yQ0v29RiTb9t0upTRzsKQ06+jn+L1nFrm23uIn3r9TJd0NiXBwZP+RMFH1JnXDYLJ4pOf3e2E85xBJfaBptgZX01akTz62SLxjxCrkyqn36nl64f5TycIkILNLT6ljGdhjRzmV2s5fq7zGc/mQB1RpW8jN+YnzrJgSU+zNvuulc3bHS9r6MpbTFfXlWv+Bz6832mr5XgIIQJPSxAwpdkXzG21S2kU0vdgjl8Q0VFbPMzUEsa2rsLfbvhulvTzZHlXZNu47Ps7F61oFnrcsGMHC22xWCAyDXOpAyKXkNxqwvtkqoGmInpXiNgpOgablcFSssd7sQ0Caq2yYJnFcxE1sKiratfd7G5SCZ38DWgdz8H508VHO5Y8ynUjqmaPknJ1r47nZMd5XH+f3F69jFud6Ps9EuUwh0dfeur/Ol298hbh1kvPxBbAyjCWyb2hKI70/Fzfg6asbhIk8kJAjaCulJpHYf09pW1kQuD3DrgDednyMH3ngFL/6+BWeW9DrlWXY6evvvrfVW5rEZ3pcZ1ZqN28NcX/OVy91/vtrF/6w52NqYY2LrZvYSrEYDT+q4bCh5sU8ZLzA5IX/wQN3lPny5eHzNd7ETrRkSE4YlLCo7VI08yNJIHThZTeMpaS0ER7OntKqFzFBnZvWZlF3uTjNtFojjCWV1t7Wj4YfIwS84+R4D6U04E5xnWjsDrAc1vw1ypkyhuhNcaayWvhY20PheNVbZTKzSUpHOWu0OUo/geVo4egOpfS15ToQc101OeuUKb/tw3yw5WGVvsorS4MJ8dW1FspsUZBQzmZZERPcEfpcrV3ZfZ0K6mwI3U/60DktQGyGHR0ll577uvN8tsKO0zCk2vDE/Q1PSpWdpZxWTrcppTIkq4YnpRRnmY4TbKsy1KxSrx3HLe3tpNQYrJRuqCLGLRraHW6pWOyXlLYTVZ2uESqFzOb/H4R9N58qpf/PFy9xYiLLh94yO/JzJIaNq1RfG0Xk1agZBlP53gpsL4xlbYIkJaWDFp0kYkUkuHGGKUcT6hfLx/TB6cqjw/8SfRAkIY5S2O7gXqrjU0V8McGMcHj05h9SsQTfkj217THtsKN1e28zbL1I319TJU3uy2nD++qQiZivB9pWknZPyahYafjERkyhq7dHpIqLt2P0lEdeRgRmrqN8ycIxClJSu83hO2F6EBqU3Hz/8THqzSwZM8u14tRIYUfVlNB1eoxTNX8QKXVUSEuowfZdu0DTNJgTa1SavVXXqLFMwzAIkjGsxKVimrBLmMg2rLwCv/O34ZlPDf8zfdCMmjy9/DQP5XS/u1E+3fNx52aKXIjmmEok1nhvUjpZcLGSzTCKi9ULKO8U041X4Y6HGZOSWp/+2XYVfn5V8filNUxD8N479t9PCu2RMKlSus/9q62UCjF4b/6Hf+UupgsuP/M7zxMnEtuwSYQgGcIu10gdDb2ufdPU1543xKH+WvM6E4kkLyXPLj/d8zEvrGiV/FtaHh5yT2MiDgOqXkRJNLFaK3zbkSZVL9rRu3fosHYRfu9/33eh5FagJWOywqJk2NTU4PNYEIYEhsDtkRbdjXJWq3+tAx7FcVCotHTy7pJp4hj6jLicK1GO9Tlhrxbemh9TcCzuPVriwnJjW5/iSj3gnFiA6fSM4633te4ClLMFslKxOiKxT2TCRrCh7btpG9Mo93ubwBUXeq8lbaV0K2G8sNzAdFdIBNw5dhbu/wjfW6+D5fF7r/7JwNe7utYkNgPKwkYIQcOZ5lQc0Yiau79vv8Y6CpXk+JZz0533AkDpKHbtJo7hDLTv2om+Rr368DbpNz4ptbKUeymlMtKkdEj7LsU5ppKUlA6hlPrtKqtytlmQbEMHHaluC5tfo0kWHxtzlwVqr4i2WESCfS7ScR+ltK2OOpbRN85/FLQHzK82Qn78wTswe1jadoM0HE1K+ymlcZNEiIEH4W6Usja+TG0yg8hFc5Vl08KM83zwzFtR0uapOAAreyAW3lBGZOTupPT0ZJ55OcVZabAe3iQjJe8rv23bY+6a0Av2ohMTRaNfH356fbU3xcLYDHkpt42vuN1oW0n2qpQu1wJCM6HY1dtjGr0Psl7skZMxoblp1xTlE5QSedtnZ8ZSr0GZAVbZ+46PA4Ixe4aF/LgeCzOk0lNLiX8h3fzzdiZ93d7rW5RIHDQp3c2+2xKQFwGNPhXWjTSh0IvLGEmGimFAawQycO1x/W/l2vA/0wdP3HiCWMa8nzwJBvmZ0z0fd36mwNfkWdZVgUJ5pudjyjkHEWt3w+eufQ6F4lgrjykDuOvbNSntU5muR02EghuVhC+8ssxbj41RzAw/BmsQMraBxEQJgRyhh6oX2sVDQw3em0sZm5/9rnt5YbHGJ5642pkxHQ8x7qyZOpMyPdZ8O7Wb+0PMeZwPK5wWLveJLF/rEUAC8Ozy0wil+PamXh/n669fj33Vi3hh8WBCvmpexBh6/XyP8RIAT14+5AT71c/A1z4B65d2f+zrjJZKyBk2Y2aWqhp8pgwCH18IMubu59WJbLoXycM5fqjSCilTZ8myOFs4iWM4rDhZ8n5KSvcYdtQIYooZi3tmS4SJ5NJKk2pQ5Uf/6Ed5avmPOSWWsGfuAfT+3y/kCKCQsSgmgrVdbNXd2Ag2kEru2b7bFs4KX/wFWL2w4/tHC0fxYo/Kln73C8sN7irrzII7Z98BM/fywNh5JmL44s0/Gvh6V9daBFbMRBr45mdnOZ2G7e0adhTUqKoEleR59+kyWdvcJKXFOYg98nZ2oH3XTd1aQX34deQNT0pxcpSVPnw1tmwynorISYlhD6+UTiYJhtUYUilNSWmXUmqnSqmMdiqldXJEysK8ZUrp5iLl71MpbfeUul2ktJTadw/Cugt0bG7FjMX3v3tnsu4wkIaNK1XfntIgGezj74XxnE0z0bbExoBFRzWWWLZMVFTi4fMzSH+OZ1ZehtMPHkjYUaC0Umo5g0npqckc15IJ7gj0gv+Q5zM+eXrbY6az0xRwec218aq7D/Pe8V7STbBtvcyXphhPJNXw8IyEaaUhMOu1vZGNlXqAb0hKXRVrw2qT0s0FWKXqfFYqYmtTkclN6Vmla7XbqyDHUl8LrtufAJ47UiBrm5jJtO4pba1p9WEI1NPC3FhOK6VtUhr1Wd+CWCJFhBKD78WCXaCRHuJUrXe/8kZK+MNkDJnk2TBHJaWpTbm6fwLx6OKjFOwCb23UuKEmODHVO1Dt/EyR/5Z8iA8Ev8DMeO/PxDAEgiJCwVdufgUTm3e397UzH6CkoNrHCtiIPXIIlDJ4YbF2YP2k0FZK9Vod91lnh0WQHmKMIUZ0/bW3zfHw+Wn+3Z+8SpLoAmY0xEGy7WjIZXZ+Frati2reLuEzAPMyYJIC92ZP8pqIaPRwYDy78OfcGUXcndO5FPOVy7s+70Hhk3/6BL/4y79EEA83MWAQGs0GGaHv3YnVpzhezvLkpcNTcOyJtkunfnsLgL3QIiFnOJSsHLVd5p2HrQaeYeCau98TUzl9/fady36bsdGKmBA1lkyTmcJRpnPTLFkmtreESbJnpbTuRxQyFvfM6d//pRs1Hrv+GE8vP82j9Y/zu6Us4oguvK/5ax0lsxeKGYt8YlKRo61la+kkhqnsVIf0jlIAbxO4QhzCH/7UjgJwZyzMlgLYheUGs7nLGEpxx6kPAmC9/W/wffUqN4JnuDmg+H11tU7DlEykZ7Y4P9sJ2xvYV6oUKqhTJ4Ykx9xYljPTeS62w46yqTvKzNCM+5PSjNJrddT8C2TfFXaOqbQyvzVYxFcxWaWwhrbvzjGZJCRWayhS6qcXl5QOtrWVlLqEAtSOOaVVaipLiI11i5TScMthJdylMrcbYqU3OXuHffdgSWne1QeNH/qmk3t+Tmk4ZJTqm77rK/31ktO76b0XxrI2Lakf3wj6WzwqlStEQhDF4/oQGB5nvnkBeeZbYe0CbAzRUD4AkYzJKIXj9u8phS0JvA1dYftQs4U7cXzbY4QQHDOnecWxCaujj3HxpY9QqtOnWhifpCwTarc5+XQrmimJWW/s7ZCy0gjwDEmp63BgpeqKt80iH6BQZJXcRkrLR89QkpKNPVqIDwqxDLCVwuyRQNqGZRq89ViJVnOchaiGhKFVh2Za9S1n9H2SSV0pkepNSv0oITHTsIpdlNJmEqAAs967X3kjTU3MGCWSuEjFMEcjpe3e2cr+SKlSii8tfIkH5h5ArV1jQU1zerK3Xfr0ZB5hWNQo9JxR2kZojVGUkKiEojjLg+4CZMtQvkOrLjLo2Q/UkAGFLQr/QfWTAtimQCq9Vsf7VUpTwih6zBDthhCCf/E9byVKJC9e1/deNERC9CYp3TnX2nKKWErhDbCdAXhBnRUDKusZWt45lBA899r2OaRSSZ6rvMr9fsDRt/0gQikWVveW/L0XnHnt/+WXjX/DwtL+15ptB8erj/FNd0zy5OW1w91X2g792iUh/3aghSJvOow5BQLBwJTWVmrJzw5Yq9uYyqdFFXWL5t3vE1Uv1PZdy2KmeIyZ3AwrSISSHBGVPSuldT+mmLE5M53HMQ1eulnjiRtPUHSKnIiP8s+nJvlESxeE1v3B9t2Ca5GJLdb77FX9sJruO1POONk4wjXdkUhpRyl1SnDpC/D13932/bmCbuto95UmUnFptUlsXedknODO3a8f+Lbv47sbHgjF71/8/b6vt75ygw3DZCKTtq4V55iNExxhDialUYu6kEihyNslHMvg7HRhUyl19Xkob7gDldJsKmQkrb9QpDTLdKoIbLXv+iomI8G2h7QvleaYTCSJkbDR2v2Q3d70lNxu33UMh1AIVJdSKv0qNZUjxMLcJ2Hsh3DLJhvIfZLSNNHY7SKlbTvYQfSTAtw9W+Jn/urd/L2H79zzcyjTIStl38RhP70+RlFKx7J2Z7RHM+pPSpdTC0SYHKGUtZjJnCVWHvNH36IfsE+1NFRR2lO6CymdyrGopvnLzQZ/OT7Dt7ZaWGM7x+ccz5zggm3Tqo5O2kIVkFGiE04yVshRTKCeHB4bUStd9NcGfGaDsFIPaBlQ7DocWJZWXFpbVJp2ESQrFXJL79rRk2cpSUl9CCXmViJWIRmpwBpsCbvv+DirG0VCGbNsmlDvbVPsRiutkE5m09E5aUhH3GftCWJJZKSkdEDQUdEpIlF4QuC0er+XSkr4j49NESQl6qZB1BxSma4vwcYVmlYGqvuz716oXGCptcRDxx7CqF5lXk5zeqp32rFjGZ1RMbNj/QlZ5I5TTvullH+G+41LcPQdIAQlO09I71aFugw7Cr9lCN5zevge+t0ghMBIk0HjfSo0QbpPGWL3AzjAyckcf//bzrG4oa+daAhS7Kevkc/uJKXCyZKVu5PShZu67yuMprnSeheGUjxz7YvbHnO5epm6DLnfKuGcepDZJGG+stOWd6tQaF7BFIqVay/t+7k6B8dj74bKVT4wF7LRinht+fAUHXegrZQeMlIqlcQTWkkquXp9rA0oUrbSmY/DkNJ2+4wn5KHspd1oRRRElappMJufZTo3zXJ6Brs7V2dpj0pp275rmwZ3Hinw0o06T954kvfOvpcfWD3NX2q2+DevfJJ///S/x4u9gaS0mLFxEocNMVrBpd2HOfni7yEe+WYmMhOjBR21Sek7fhhm74PP/AxsET06SmnanjK/3iKMJStUuNPIQfs8np9CjX8zb/difuvV30aq3im83voiFdOgnNUFylyxTKBcThq5wWNh/BrVdPpA2dX7yJ1HCixWPFphvElKzf49pUopvpyP+enpSWRr+HDNNzwpNZwceSQGRse+G8uYCIkj2TZDdCDcIpNplXmYxuW29SdRLrax+Wd0TJfQANW1cSpPk9IAG2vE6sywCLe85v6V0nZP6fbAl7aaWTwgUmoagr/9LWcZy+2990maDlkl8focVgJGJ6W2aZC3cwilaAyoBC3XF9L3cBwhBPdN3QvA83ETcpNw/WtDv2YvhCQ4ClxnsOJ/vJzjOpOMS8lPVAJcBZR2ktJjhXMEhsH8+nAzrra/l4jMllTavGOSSwzq7K9i+/mXl7i6djChDfV0gV9PvD2lYC7XWjQMQdHuGunh6MPtVjW+Q0qVQm4hWUfKYziJRfM29/zESs+4xRx87dx3fIzQ1xvPvG0NbYVrE/TJnL6vnPR1YnpbCf0oITL094p2/3uxnUxYMwzyfu/D5nrqijk5dgQ/0e+92hgyBXr+CWqG4IMnZvmkIzvJ6HvBo4s6zOzBmXeR8VfScTD9g6XOz+jrZBApTdxxJtMk4dbaLMejq3D0nQCMpW6Pao+wo6ZKKJoZjo1nefuJ8Z4JwPuBkRYdknifc0rb9l1zOFIK8BPvP0Mxm6Y7DzH+x0uvzWJuJzE33TxZJWnuQkqvLenxSPXwGE+tjnMuUTxT2b5uPrusH3P/kXfybLPMiShmvvH6jMiq+xGzcZqAeX309bwbyqvwP4t5fufYOQDeZ+lxPL36Si9XL/e8Bl9vvNi6zo/NHsGrLdzut7IN7b0hZ2UppYf62oBin5fuW/3Gd21F22XSNIxthOawoNKKsBy9ps7kZjiSO8JyVEcBd2X3PqvU9zx+dukfwKt/zD1zJV5cvsRiY5FvmvsmZv1r/PSGzXed+S5+5flfARjYU1rKWJhJhorBSOeEjlJ6/QWoLTLhlEYLOvLXcaTCyc/AX/t3ugD8Z/+68/0xd4ysleVGU9/Xry03QIRcN2LO5ref51p3fz8/UK9wvbmoR4d1wY8SEm+eWAjKeR0gOllwuanKnFTGYKU0qOuWGGA6t0lKAS6tNCE9S+eE1VcpDWLJ01nBH+VzqBH6bt/4pNTNIYCMmetI4+0FwVViW7/nbpiy9B99mIusXYmV0t1m33VMJ7Xvbt+4lZ/2lGK9LqQ0UPvrMUnSn89Y3UqpPui0bbeHAcpwyClJ0KeCH6A/i0HqTC+MZR1yavBw4OXUz++mY0AeOv0WlDR5fPE5KMxCc39BEZFKsJTA3SVUKmObRHlt1z3RfJGaKEKPMTKnym8F4FJtuL7BrQhETEZtvg8hBFlpUxP7K4D85K8/wy9+9mDm+6219BoQo6jvQS2tNtdRQuwgTVkng9FlEd9KStlS8BBCYJKluc+/y34RE2lSag22Sd5/fBwZ6Q38Wr4MteGU0nbQxlReKwGWYWEoSPoUxPwoIUgHqg8cCZMeulbscYph797nSqrSzhYmsE1dMKgMq5Ree5KrmTwekkfGS9RWXx7u53rg0cVHOV8+z2yo15iKe3RgG8I7TpQpZSyOFAeo19kJJmWMJSxO1SNMEjiWktLUhrWDEEQ+dQEFK8u//uv38c+++y17/p36QrRJ6f6KUH7sYSkFQ/SUtuFYBsfH9T02DCkN0scU8jsPpoaTI6tU3yJmGwvpzNHV4AzrrYi32ZM8F1dJ5Obe+tzClyglCcWp9/E9/+0iR2PFQjD4ANbPSTAqLizVOCn0NZ/0CE0ZFcKv8qlSkX+x+iQLuXEmVp/i6FiGJy5t38NuNG7w4U9/mH/15X+179fcL74SV/hqNsO12usXLjUM2meGnJ2jlNPXYLXRf11tB2fmBrQ1tJFLC6ZNQ8AQYV2vN6peiLL1+jyTm+FI9gheEtAQgjuc6p7tu3n/Bmf8F+EPf4q3zLjU0Db59858EyeTeRr5M/zcQz/Hh89/WL92vneYHOg2NCPOEQtBbZeRf1ux5q2RtbLkVnXBZsLIjDan1FunoKRuxzjxXnjHR+GJR2BZOx2EEBwrHOsopReWGxx1X0EKwZ3Tb932XFPv/G7e0xSYCh67/tiO11rYaFEy9f5ZLuqz4UTBYUlNcDKMuVa/1n8tCmo6PBA4WtTXb5uUXlhubCqlwuhLSlueT90EKQThCMT9DU9KTVdXpTMi2zmEtg+LthQ4I5DSyZSUVsPd5fh2T2ki3W32Xdd0iXr0lIqgRl1lCZWFiRxtpt6Q2EpKowMipd09pa5lYJti22iY2w1luuRUQqKSniErPvpro/SUgk7gzUpBY4BdbTm92SYyeo7Tu05OI4M5nlt5EfJTmz0ve0REoq/jIZKO3UkdFFWQNdaN3lXCk1P3YynFZW/0ynIoEly1/cCdlS6B6D+OZ9fnjCX1IOaF6wdTdW9tObCOOhYmiBOSlAR1D93OORYZpecft9H+nbNSdhbpNlyzSCToayl/PRCriIySsEtf/anJHEVrGoHJfLY4tFLqpyER7TRIAFvpa7YXgjDAS2tZu80pBVh1J5lIVnpWstcTn0xiMlXIUrRTUtoa8l679jiL01oNqpkm/+WlTw73c13ojII59hCs6yKPHDs58Gd+7MHTfP6nPjCwWGrkJ/hf6g2+e+b7eIdI7cVtpTSno/lrfpcdyq/SMAQFW8+Ue+ux3mFL+4HZVsJHDAfpRhC3yCiF2sVWvvP1057lIdaaIAkwlaKY23mdmW6OrFS0dnmea/V5SolkWWqF4lT2PE0BF25+tfOYZ5ef4b4g5HnrLYBgihzjk4gEAAAgAElEQVRrMuhbyHz1xld4zyfeyc998Wf6ZiAMi4WrF3nNFXx8fAy3uv9wJSOoUjUMIhXzi7PHENce44Ezk3z58vq2e/Dnn/p5/MTnc9c+t+/fYV9QirX09Ze9w2XfbfntHtE8Y9n0nh1QNPNTQSXn9ndZtGEbNqYyaQrjQGahHzQ2mhFROnZuNj/LkZweIbeSKXDcWN+zfTcbpOSxco0PVn8XM3+RcWeKMWOGM+IG3thZDGHwTx74J/z37/zvPDD3QN/nKmZsVDryb22EFo5Vb5VJtwxpdsUExmj2Xb9CQaakFOAv/XN9dviDzdCjufxcRym9sNzgzqImwHcef3Dbc02XS/yZeIijccx8j/v/6lqLnKnf28SYHg84mXe4SZlTrQaxjHfMRO0gqOkxa+gWGdCZCKYhtpNSZfRd67xmhUq6z/nxXyCldJOUZjr23Q4pVcbw9l1gKj2I1qPd/4BeGraQyMw2+65rukjR1XejFCKsUydHnFabhxkAPirCZKt9t7fHfFj06ykVQjCecxjPHiJSajnkUhLdixx5aR/bKPZd0Am8GWXQHEAslsIaYwmMZ7UqeXoyjxkdZ7F5AZWbhBGqcL0QIjGVwBpiVM7M9DRV9CGsZk/3fMxYrsDJMOFyPPr78oXEZfvnnkH/3lsjzEdB1dOfzYXlBl64/wRJb8s9MOpYmLVGSNbSh4miu70XLWubZKTC23Lftu2rGaUwM9sPv1lHFwXWRmjw3w3/86sLvHxzeKtpQpzadwcf/oUQ3H+8jJlMcs1xhu4p9VSIobb3Qdmqv3038prU07VyGPtuNVNmhnXq3cFzkU+FBCexKecdxtLPqrKLQgVA2IKbz7EwronGB5stfu3Gl1hujZ6U3B4F89DYefiDn2KdEswMViht02CqMPjzcAqTfIvnc7pxH/cZF4nzs1DSToyx1Ia1w6rsV2kYxshr3Cjo9JQegFLqyt2vy25Yab9sNMTrB9InoxRZe6dqbTtZ3e6xS8Fo3ltlNob3ntWHasd+NwDPXNRjGOphnYvBGvdLi6/U0rFIKrXB9xkL8+TXf4MYxW9c/jQf/vSHeWH1hV1/l36oLr7Cb5YKPFIewwz3P9rIjvQ877yV4zOqzjO1S7z/uGC1EXZSN5+48QR/evVPefDYg3ixx58t/Nm+X3fP8DZYS/fFlds8E7obrbRYnXMKlNLwmprXf40JUkGl4A53/9rKoWEICA6fUlrxQhqmvreO5I4wnRbSlopHmGGNjVaEH42214expCzTz3jiLCde/Dh27jVmnbdRvXkBV0Qkkzp5VwjBWybfgiH605ucbSIT/bdeH2GE05q3xtSWtoOJJGbdWx/aAtwIa9tJaX4Svu2fwtVH4fn/AeixMO303QvLdUq5BSylOHXqA9ueSwjB81N/lZNR1DNc7cpaC9fS57LxglaNJ/IuS2qCO9JQwL59pf6mUnq6nK5/lsGpiVxKStMJDNA3fTdo1thI+1JDOfy55Q1PSq2UlLrYHftum7nb0hjJvltO+8aa8e4H7HbPSkIWYwthyKTV33irfTf2MWREXeUw26M9boGCsnWzDtkfKU2QCLWzpxTgP370Xfy9D57d1/MfKEyXfGpD6KVMNUWCrQTuiIegsayNLc2BSulK0qIUW52eWMMQHM+fI6LJ9WwBmvsnpZYyO+FCg3B6MseC1GSo4fQmpTnH5HhocEWNvpn5QpERXaRU6Ptvv6RUKkYiXP3gy4DJdDzC2ogFgZV6QMbQ76GY2d6LlnVMHCVobZnBudW+a2S2K6vFnN4ELi4eTOhJlEj+8W89x698cXhFJEYnN+8WdATawht4ZeaFgtpwvZk+Ea40tl2blhL9SWngdUjpMPbdem6cObHGRrOrgNdaY8M0MZMMEzmHcpqwuhEMcf0sfhVkzGImz7g7zj+qNIlVwiPPPrL7z3bhSwtfomDlePsf/J+osM4PBz/N3JHe990oyI7r57iysMj9xiXM4+/qfG+sqMl0tb69b1F5FeqGQcEdzQ0yCoyUFMb7LKiGcbAnpdRKE7GDIdS5UIa4Elx75/7vui6OBK/PPN02rsUNSqHDQ3dOU8pYvBbdz1Sc8MySVkqfX3keBdxfvpuv39RnD5noA9xCvbcT5YW1FzkSx/ynG0v4QZUf/sMf5pFnH9mTpTdcucjLadZAYC7vayyMlAorqeAbBj909w8y7Yzx8xPlTl/pHz5/k0srNf7F4x/jaP4YH3vfv2U6O81nLn9mz6+5bzRXWEvPd0t7DLa7VWgHF722FHOtpu221QHp4EEnmGtIUopLwzAgPFy/N0Ct6VMxE8YNh4yVYSbdC5fz45Rj7WYZVS1tBDFHREpKv+sXuYAPlocZnMe/rq2v1szdQz+fPrOnI12GzSJAt/ZNtnM1hMFEGBDKcGAC7bbfI6xTlGqTlAK880dh7n74wsdASubyc1SDKs2wycWVJk1rjdPKxO4x2s068W6mIsG8t/Osc3Wtievoc96Eq4tmE3mHm6rcGR3Yt680qGuVUwnOTk51vnz2SIELKw1I9++cVLSiVk9SHjSrHaU0ZPjz5huflGbapNTppO+2D4uWNLZZa3eDnR1jLFF4cvcDtt/eGLsSBNvDj4OtG14apFEjh+2kG/E+wyJ6IUwJWUbuXylNVIIBPf9+7zxZHjjS4HWHaVNID8K97ERVU1GUoyu741kHZIZqEoDsveEvy5BM7DC2RTm+/4hWS54ngaAGe1QWYhkjBZhD3qanJvNcV3oB8bK9+ymyjsmRIMOqiKl0WwAHQMkEzwDH2H6QzJraJjhKX8VWtEkpwAvX909KPRVxPNYHvFFnla7UA1wznWmb3W5/ztgmjhTbDrKb9l2F3XWYmJrQNs75xf0HkAAsbnhpPPz2xf1y9XJfC10iYhwFGLv3f993fIwknOSa9FGt1aHWJ48EV21/bgtB3KcgFgc6RMrCIDNgHl+bsLYyBUrCo1rpUrxba6ybBiLOUs7bTKYbfGWY0UTpKJhFEXOscIzjhTk+bE3xO6/9DpdHsEAqpXh04Ys84PnYzTWufscn+Lo6PTDkaFgUxjQpjVYucoe4iUj7SQFKqT242jWbLmitEAtBwT24xN1utMer7b+n1B+q13nH66f24SAcwr6rIh0Q16PtIWPrApM3YF54lETcEAlOWOSu2QLnZ4q8uAZvx+FrTU04n134EkIp3nbyA3w9Xbtqvi4aLKz1TsN90VviHmlzLxP88tUaY8m7+fgzH+ed/+l/ZaEyWguDUb3MBUfvO+tOwMLNvc9FrgcxTlqQmy0c4++/8x/wXMblqeuf5th4ll/401f5K//1Y1yrX+bCy9/K733sxznvT/OlhS91xIDXHY1l1tOi+YqKIDo8czubqUvnK1dDPvuqRChFbUDhNkzVpkKPubq9YBtZWoZxKJXSuFVlyTKZSd0wbaV0xc1TCLTNetS+0rofMS2qSGHBqQd58uz7ALCWM6gVnQmQO3bvSM8pDF1AWhsw57Mbq94qU1GItPNUi+eY8PQ9M6wrqx63yG9VSgEMAx78Sdi4DK9+hqMFvYY8t3SZRhBxw/C4053q+Xz3zI1hROPUiXfkDFxZa2Fa+mxQTovsUwWHm2qCspQUrQEJvO2e0iTL8fJm+NadRwpcXWsSKQFOgbyUKHqPYwyaFWppETpgeJv/G5+UuvoPllHWjqAjS5ojKaW4RSYTSah23xw6NkFje1paJt1ow60bXlrBr6vs5rzJW2Lf1YcFNzEIR4y67kaMxFRgGm+AS8RyyUh9EA66D0xKsWFCUY1WlQe0+hmUuWKbyEoPgiMlS4bCirOawKZ4+PR9KGXwZT/dMPaolrZVX0sOFyqlx8JoMhXmepPSnGNRCvSh/5WN4QmT36zRMgwyxvZiRM5OCcGw/XxdqG0hpS8u7r+v1FcRx9qkdARbDsBqI8DuQ0qztomtBK0tisbW3nU3s30dODqrRxytrg0383M3XEnTiS8sNzpVyVVvle/9/e/l11/+9Z4/EyNx1HBFuftPjCPDCVrEbBgGDDHn1RNyR4+xpYy+pDQJPRqGQd50Byr/baXUTy3R3mrX59hapWKYJEmBibzDVL6ALQ0qw/Q1X3sCjtzLYmuZY4VjMHaCv91SuKbLf/jaf9j951NcuPlVlrwV3l+vwg/9Jo8HdwD0nVE6CkqT+rD0PvGc/sIWUpotHsdWimrX/dZI/78wYGD8fmGkBal4AJkbBkGiU6GFPRoptdO91R9iTqkepSV6XmeuZeBIA39AQv31jQtIISCa4PxMkXMzBV5drvP2wikWiVhpLvPs9Se4M4qIZt/Hcj3AtQwutGYpJQnzazvX1npY5yoRojbOT9V+kLPeZf7GygQz0Q+g3Ct89tLOBM1+qPsRCVeJ0t/vom2zenXvY2FqXoRp6jVm3B3nu89/L/com1+sPsuv/Nh9/MvvP0Vp7vOcyb+b/3xXlv/N+mP+7sIXCGXIF+a/sOfX3Reayx2ldNmyDtVYmPbcUS/KsBBkKEo5MK04TLRSmh3Sfu8YORricAYdmf4qS6bJTKrOZa0sRafIkm3j+CuYJCMn8Nb9mCOiQpCZAsPg8dIEp6OYH1r/Tcy117ipykxOjeZSMexZhFKse8OdXSIZUQkqTPo15s2TPL5RIrOhC0HDktJm7Kf23a5RVfd8D5SOwxMfZy6v7d5fu36ZY8Yii5bJneO9nYl3zxXxQ93SMV/Zfta4utYkNn2yGB1eUsrYrIgJBHBHZmoAKa1TMU1Uuse2ced0gShRXFtvgVvsOBR7KcXV5opeQ4FADF/IfAMwjsHo2HeluaOn1FKjktIS00lEzO6HYz/2/3/y3jtOsuyu8vze5194kz6zKst2VXe12qhaagnZFkJCAmSAZQYGkFhAjDSjYTEDs5gZEOwyAx92ETsMZhAaDbBISIIZIQOSECDf3lWVurqqq8umz4gMb565+8d7EZlhMyKzGqmX31/dFRkmI9+7957fOb9zsH0f2cUcteS7HaA0ZEpLRDDMlnz3uQClwWsavkqT/YFST/ookpFmGb/eJVQjkClCb36f57CpKsQYn9lN2jr1+hxVRWF5uffA4FTWyKsqwomTtLcP56cXJ/EbUzzZWqj2OFfaAqWqGA2UHsxEuBEypV64sHWXratYjQBInh8jFqZaKlARAlvrBF/R0OBpc8Q5xO5qMaVzSYuzN4EpreMR931SnsfmCMBqZ5UbLqoSRkl0OffZhoruK9R2GIi11hlfGj25vfMzwXxLsXRz4iGubAafq1R3WS8H18UnLn0C13dZGdDpdYU3MiidTlgkteCauapru0t4fZ+6IntmjDUE7oCGmNuoUlEUIru4rrbcJZtW2ODLd0ohZWWTLVXBcRNkwvl2w9PYwh2uSvB9uPYg/sKLWaosMR+fh9QBsoUbvO3U2/jMlc/w5PqTw39vgGaFL37yXwHwstf/X1yw7+BXP36OOxaS3Dq7/5nOVAhKX66En2Xu7vZjIj5N0vMpdikTSm1Q2r+jfjOqbXS0z9GThtfAkj5iXPluuNc2RmDxm3jofv+939JVNF+hPsQM8FqYUep4c8ynbI5PxdmqOhyfCKTUjz77NzxRuswdjs8TbmAw901HszztTHDAdble6m1inrv2peA16wd497v+N+SR+3iH90F+4aWvDt5zjFiTi2tlHDOQg8a1KM8YOpXlvasyCjtAadJMogiFn556OcvC58vLH+JM7c/wcXjvq36aV1/5z1Qn7qBRX2TWdfnk2T/d8/vup/zSNlO6pqrfUKC0FhIRDT/KckWSkFAcklvthOcWe0Sm1NRiVBQFv/6NJd+tOx5RN2RK7W2QOB2ZZl1IhPSZYmts+W6p7jLJFm5kCsdzeGTzDCfMY7xRuZ/59S/wjFwYP6bQDhjD3Igqr5ZxYra4xpPOHNfkJJPl8UBp2W8QR+0dqVE1ePGPwuUvMFcJ8Mf5jascsoKZ82Oz9/R9veNTcfJu0BC9duOB9r87ns+NfJWqaJDZoUpSFEHdCs42i2p0sHy3XiSnaOhKrKOx1+HAa8SIuMH5rS8o3eHT0FSaI8/dPu9BKeEBxvIFZacchBaHh0XV18aS72IlyHoeUtn9cFzzgrkYuoyAInrYTZY7Ns6wQ1aSESwrBEf7lED1q21mTWO/kNeTPipiLKOor1tp5jYo7WZLnCqbqkpc7J7/1V1JW2ezHnSoLq705o2u54J5G9dNkYpsd5Om4haWf5DL7lrQGtijA2+L9VXlaKA0Ymhs2oHLmpM61PdnVEXgyiwTrsf53OhRGOVyjoaiYGudTFDMmkZIyfqIjq3dtVVtouLxTUeznF8p0XT3JzuvCR/hG2Q8n1yfOYthVWl4qGoA/mJdoNTSFTRf7QtKPd8i0rUhJkOZZa2+P/flVl3ekeP6zFrw3x+/9HFg8DyvK3wMRr9/b504AsBVXYfSLqDUCaS4Bp3OvhqDmVK/WaMmBPYus926omOpFo4ZvLZf6AT2pdISrhDUvRTpqEEqaqB5JnlVheqQw8H616BRYG32FK7vshBbgORBKK/ythP/nIyV4bce+a3dN8+n/5ovOjlusaexDn8H7/jjh7ENjd//gdNo4zRBB5Rpx6mjkxIVSpGDnVIvK0WyD+tSDq/1eHT/M62DSgu77d4+G6p1rxkwpePKd1sN3xEY8SDfeRAoVdCkSn3A7DPA1Y2AdYxFb0UIwS3TQbNBj78Cw5f8jwt/QUm63Bk7yLmVYM14zckprstJFhyPa33Yl7PXAlOgjdqt3DKTQLzh18GpcPfZ/w7AjSGRId11YaVEzqxioPCqhVfwjK7vKxamWHMglPolzQAYvfjEW7mvUuX3z7yPjz3zMX7wth/k0KMfhPIKkbf8Fn8w93/w0orGV3NnyV/54p7fe69VKF3HEwKBCEDpHveg56KqoWqv6UVZLzVISoWCOzhazgnjtSxzNFBqa3HKisCp7b+RezNrq+qQUrbIqyoz8fn2v0/ak6yFZ+LDRp4vXtzkwcu5kc0Ng5nSLWR0msfXH6fm1rj79rezJlMk/AJL+sGRfDd2lrBTZDyPzRHzdjfqYUZprcCj9VkWj5xkNnQiXyrtvs/70qcsXaKDRldOvw30CBOPfRBd0blSvMF0JBgpOXbw1X2fYhsq99zxOgAevfRg+9+XtmrYfpWCAumuM5uMTuEjWERjpbLSf/ynUSSvakTUTo+Co12xMNGwQdjP7KjY2D5/1RSPenO0ufnnPygNw4YtTyAJhm5bRkdCamMzpVnPA628q2lA3Wti+xLZdcCKhNmQTem1LZ4J7cFLRDBboPQ5MDpqdZA1X8PZJ5b0CZhS9XnAlKKZwYwSvUyp0yiRV1ViYryMUghBaSOQYV7IP93z+Fo+iIFouJm20VGrDsZuoS5qwWa5x6zSNlPK6POw1ydeyesa/wmRPT7wZ8pqihPNJk9v9jq2Dap8Meh6RbrkRUYsS9L32SjvDXwVai6fNP53fvHaj3C3f5YLa3vv/Dqegyug4UXJeB65Mc2Xqk0XoTWI+D6a3eu+q0qV2g7A1WqAOL5N1OhsHMRDwxl3BNO0UerqZpV0eI09s17mQv4CT4VNhUGzwY7wBx7M+9WLDhwDKbisa7uD0maFilAwRecGq0llIFPqhaA0MgIYiepRmuE8oNp1WM+HxhRSmUBXFdIRHeHZwQzMEDMRrobzpKHz7nwsYEoBotU877jjHTyw8gAPrQ6XUVaWH+MRy+Rlh17Pj3/wUa7nq/ze97/wps7Zl0VwnzWn7+p8QFFICpVi1yGgFF4Dz6V8V2+Z+O0TlDb8JpYvUYzxQKnRYtBHeP8GHhr9m3mmpqJIhTpyYAPiWvFZbN8nO/UCAG6ZDvaPs40FbndcvlAMAOCdsy/h3HKR+ZTNiZkETXRmhcmSW+4xLzqzcYZ5x2XLviOI+Jq8BV7yTpLnPoTqRFivjW64srR0lUumwnFzgluyt7GhqXilfYDSuoNUgv0maYTAaOFF/GS+hOu7TNlT/Njca+Cr/yXIVlw4zfe96k4+ufl2PCH4zMd+BHI3Z1Rh1MqF68JibIGcquDsUa2zs977yHt512ffte/XaYHSmoyzWW6SUDRKQ858TgjYLCs18Gd2VsRIUFEUmtVvMFBaa2LpwRo8nTjQ/vepyBRr4cz/q2YcPv/0Ov/L732F23/pb3jje7/Az/3lk22H534VzJRuIeLT3L9yP4pQeOPJb+a9fpBJumEfGvuzRm2LpCfIjeJFQOC8CzDheTwtFzh24nbSodfIBx8+t2szs+bWkEBcG7BP2Gm46/tQznyEGXuS9eoymrWGKWEhPdhY9G1veD0Z1+Op1fNtV+PLm1UmxRY5VSXd1ehIxiIUlBSLTrA+Xe3nvdEosqUIEnrnc2OmxkzC4pkQlMbCOe5+sTCl5va5pKgqlAujscnPf1AablR2eFYsO+Vt+a6njsf0WUkmPA8Uh7Xy8Ju95reY0i7jl5ApbQqgtSmF8t2GGkUN52g85+bLd1vmSpqn0xAMNOcZpTwpUaRAex7MlCqaiR0uCN0zpS1ntbg6vitl0tbBt5n2BReqvQeG1fBmLjlTHUZHAHdPB0HHXzOMvTOlLeab0WUpi9koT8sDxK3BzylraW5pOjxTvNI317VflcK52FjXAmfEM6Q8f+xM0FYVq3WOixskShf5kPkrxD7+L6G4RNWpdoTUj1KtiBbfN4l6Crkhcqm+z296CLVJ3Pfb60qrLF1F8TXqO2TxNbeGKQU1LCJG12ylomH7Al/cnJmfy5sVXnw4Q8RQeWa9zF9d+itUofKCiRcMYUol+oCDeb+6Yz6D76S5ohsjgNIyZUXB7Jox1lBxBowO+E6dmiLajbthFTfiVLwamyQxKp2fJV8NZHrRcJ45HTHw3Wjg9LcbKI3NcEME11VrphSAwjW+8/h3oikaX7rxpaGf7YHVh3GF4MbKEf7+/Dq/9KZT3HPo5oLBarhemYu9sq2EYlDo6m5Xwm5/ax73uaiW0ZC3z5nSuh8wpeoeZ0qbzu4N3aaQ6AMUJpauoPoackiO8OXyMvOOx8JCoHiYjJskbZ2nN+rcGV53Cc/j0NHXcW6pwG1zCWaTwefLihQuktVqp5z0XHWJY01BMrNDYv3Kn4HYDEe9Gvnm6PLT0vJ5njJ0TiaPcDScNyt742dPt6pQc3DU4PzQYkoxYxyaup3f9jL8l2/+HSKf+fegR4MIC+C+E1PEEi/E9rL8tSngj78Tyns3Wxq3NkPJ+q0Tp5BCjJU3OajO585zdvPsvl+n6lTQpKQuI7i+JCYMikPcnp2QcTP10WbSY0aUilBwv8Hku/mKg6GFoDR5pP3vU5EpNhoFPODH7jJ54Oe/mT/8wXt456uOko0ZfOjBa3zgy5cHvm65WiNDCTUxw/3L93Nb5jbSdoonJ7+Nn3F+lK9NvG7szxozNWKe0s663a1aoDTreVxRFzlw5ASmBAuDC5srvO+Lw43yWp43MX2Iau/ed4LXZNZ1Kbrr5LQiR7QY6hCzQsvQmRcmVbXA//O5C0AwTzoltsirCmmr0x8jEzNYI8PhenBeerbY+7m9WpGiKkjbvcZ5x1oOvGacaGg610++W3YC3JMUNluqQqU4GjnzjY84dqvwgGO7wUGo2Cy2QamQWkeG6K5lJsh6AbpdKg4HEjWviS19hNp5GI2EG21DiG2Jbjhf4BsJlFa3eQQHwXGrEeq7VV+nufP991AePgri+cGUqmaQewfUvM4FZi0EpTF1tA7kzkqFzNQiUS66vU2K9fCwvOXM9uS23nf4TqQUnLGsmzBTOjpTemgi2NTi1uDn1PU0x50mjnS5VhzNDKgYHvZjXQyiFc+S9j0Kzb2ZFDnlHIqQyG/+JX5Xfjdzy5/lL973Ml7+/76UD35tvFmltkLCN7A8g5w/3j1Wabr4apO4FNAlBbJDUFrb8c9Vt4oloSItombvphFFw1Ua+P4+57t9ybVcjUMTUY5OxriwVuQTlz7By+ZfxpHkkb6gVEqJIyTGGEv8bNLGb05yxbB2nyltVigrArPL6E1DHajSkE6VmlCIaLtL6aN6lLJTZlOZIFLvPKznw/mdpBFsmElbx/HibCnq8Hvt2lfh4L1tmeRsbLbNlLJ1DVuzuT17Ow+HkR+D6oHKNUwp+OhXNL73xQf5F/cu7vr7jFv1sEMdPfyinscSqk1BdgLDcnjgeS5zSk395kTC1P0gP1cZE5S2mdJdolwAGkIObOZZuorwg8cGOVdfaxbIOBonZoLmQCDhjXFhtcTd2cDl8wVNh/r0C7m0UeG22QRTiWBvj4SunjuzSvP1PDdkk3QzxXxqR1PGSsB9P8cxt0zNGX3+vLJ1joKqcnLyjm1QquXHzn9sVbHm0lRcNERH7jAHX8orbpzjxI0n4dLfw2t+HmKBRFxRBD/68qNs5e7mIVNnrbwEXx7dLGy/tRmuAyeztwKwNiCGZ5wqO2W2Glv4+0wvqDgVIr5PJTRYjAmTwhC5uCsdTF+ijOCUDpAw4zQVQa062r775aUv8/qPvL7tu/JcVaHWROjBWWk6HGGBAJR60iNvxaG4xFTc4rW3TfPTrz/BH//wvSxmImx2R3/tKL+8jiIkzXiWJ9ef5CVzLwHgxGyaP/fuI5bMDnzuoEpYGrankZOjrWcb4YiE6VssHDiMnjkU/G6ayVzG49c+9RQPPDu4Od/67mPD1uiJY3DLtzKbv4GibnBZFxyNzg/++bAORabI6y5/8A8XeXq1xOWNKnNagbyikIlOdfxsNmqw5KdZLOcQCJ7d6gWlxeoWroCpSG+z9dhUjGfWykgzRqQRnLn6glIv2JNm9QkKikLtnwwoDbundggmy82AKTUk+ELvyBDdtaxEwJQCN3YZmq/7DqYPmta58UXDjbYpxLaZUb2Ij0CaMZTWxj4ElEop95Q51vCbKFIipNb5/nsoD4ki+0fCfKOVom/PlHYzpZgMUWcAACAASURBVGuh2U3MGJ/JaLGfM+okzyoSp0uisFZdx5CSojfRw5SePjiDX5/jS3Zk30yp2jW3N6xunY0jBMwkBh/46kaao83gUHtxazTJVzmUBya6OmeRZJaU51Nw99axlSEDq6QW+Nzs23nj3LfzHzIxHHyeOP+XY71WiymVvoHiWhTwR2aCAaoND1dxSPRZFm1DRcgAlMod88uWlJSxe5hSgKgwaSgexdr+DvHLhRpNz+dQNsrRySgXCo+xVl3jO45+Bykz1ReUNlwHKcAQo7Ps0wkTv5nliiaQu0jhGrUCdUXB0js3WE0MA6UBU2oP6xSHlbbSbNQ2KOiTxJud7MtWyAq2omDSUYOml6SkKjiD7rXiMmxdhQMv4Xr5OlP2VJBbHJ8DBBQCAPHC6RdyZvPMQLBCo8RDokmmluCeg5P88ptO7fq77KUmJqfxhYqYvbPnsaQR7znglpzWgee5Y0pNLVjj9u2+6ztYUqIZ48md9dZozAhGRw0h0QeMPViaiggjwno8CAhmv5ZpEnEi3DKz/X0en47z9GqZOw6+Bk1K7jEmOL/pIiXcNpfA1FSyUQOfBQCuheMdAGdXgkaHU51jId31e8+fZt51qVAcKa+0VHdoErz2yfmXMBudxURjxfC5sbQ3Y7VitUZV9UkqXc7Yiy8LRo0+9m6YOgX3/HDH877zhfNEnXuQSP5m9jhce4B/rNpsBuDn1kwASter+2dpS80SvhzulDtKVd0aESmpEuzDlrAp4g+UeLo022eYUSppButuZcRm8BPrT7BUWeLC1oWR32Mvla86eFqwFk3vSABoxcKsJqah0Ns8SEeN3jzqHSXD8/gTooYrXe6dvReAk7NB02giNn66QtzS0F2DMv5AxcTO2qhtEJOCZ90F7jmcBTMGkSwZFA5NSw5mIvy7v3hi4PNbkZXdarOeesk7mW9U8PUKq5rGsckX7PrZDiQPs64qnLBW+Lm/eJLLmxWORIs0FIV0vBPUZqIG190UZnGZudgclwq9svtceG/NxnvB/tGpGJWmR4UI0UZw7usHSiuyiuFLpqwJCopKs/xPRb4rBHVMIiGYLDvlNoPhjnEgA8JImOB1VsrD2a26dDElPTOr0XDjbAg6mNKGiBAxjXZ32GkOlgx86eImd/3yZ9gsj8d0Nn0XXQItpnQfoNRFPm+YUkUb7L67FjInSWN8V8oW0ExpB3GE4OqNzg13tZFnwpNI1B5QGjU1bOcOzhoqG2O6wLaqLd9VRmdK7zsxxd/91Ks5mB188G+aGQ47LgJ4pvDMwJ/bWS2L+1Ss83uMJSdI+z5Ff/Qcqp0lQtnvuqaxHv8tVoyHePupH+LFDlytjD5jBTsWRmkhveAwOU4Wa6UZsAXxPuuGravgG0ghaIQH2Zpbw/Z9KtIiYvRhSlWbigpbhf3NlbacdxezEY5OxiioXyWqx3j1wqtJWSlqbq0HRJXCDqYxhvQ7aesId4q6gI1dAsXz4fpod4FSVWi4g5YMtx4YHY0gUTuUOMTlwmWK5hQZr3Mtbm2YE+H8ZDqiU/MCBr8w6HOH+aQcvJelcui8C6AZEJ+FrQCUnp4+jeu7A114Czce5Lyho1QW+M3vuTOYDXwOKnPnt6Hc/S/A6P2ukkaSqhA4O8BZOfz7R7X9R9IMKjM09XO9fYJS6WH4oOmjN9sAzNA/YpRGU0MINNH/9U1dgRCU9ms+rFVWaQowvTSTOw67t0zFKNQc5ORL+PMbK/zA/H2cWw6uxdvCw/FM0mLTmUeXkusb2xEtZ699Pnjt6gnmu0Fp6gBzrosUkvURorUurpXxzXWElByfuA1FKBwwJ3nG0PYcC+NU8hRVhVT3vNvBgJHCrcEbfyNwCd1Rlq7yA/e8CK8+x8cNAcuPPScZ7D0lJTm3gorgeDrwT1ht7G2EZGe19pC95m63qurVifiSRtgYMUQET4i+h3cAh+A8OWpl7BYoHY35vFEKAPulred27ner6tDUasSlaLuowzZAXY9moNjb8ExHDHJDQKlaCUDpV2pLGIrBXZPBrH3L7XwyPj4ojZkauhucx0cZP9qsbZJ1Xc77C7zoUNicTx0k7boUmnn+2YsOcGm9QqHaf31qqVli1i5Z0odfRVzZBoPHFl6662dbmLoDKQT/6ws2eOhKnr8/v0bWDs4d6TD3tFXZqMGqTCNqOY4kDvXN5y6EAPpAqvfcfGwyOFvlXJNomJPbb6a0IuskfEjZWbZUBbfyTwWUAk1hEQ2HdkvNUnhYlHhjyB4BMLeZ0t02h5rvYkrRwyTGQvOGhqJsmxnVi1SUCBFDRQ1nTofNlF7NVak5Hldyg93a+lXTd9AlSKniCoHX50IZtXyePzOlYgdT2n3IWG+5Ulrju1LGLR0hQFNvAeDC0v2dr+1WyPgqMVPr67qZ5oVIAX9fHw9ctartvitGX3CFEG0J76CSVhpDCubVKM9sjQZKa06woKbjnd9jMhYh6glKcnTL752l1jd53DT4Z4//JkXvCrXr38ebD/4oh/UkV7zqWK9ZbQYbvqnFcNzgkJgbo3tebXrUFY94nyaApatIPzjk1kKgW3Nr2NKnjE20D1Ma1xPkFZVybm9//1a1nHcPZaMcyKpoiTO8ePLVWJpF2gw2uO7OfilsehnK6KBUCEFSDWJhLtc2to3a+tRWC5QanV1fDW3wPLtTpyaUkUDpkdQR6l6dlUiSuCxDc/swt+XW0HzBZDTYHG1dRfjB33urMkDhcvX+YE545g5ulG8E86StSh1oM6V3T92NQAyU8D58+W+RQuD7d3MwM76j98h1+u3wpv5SyGQIxgs75Iolt04UZejs0X7L1oP7onkTQKkmBYY+3me1wkOus0uz1fc96opAH7BumpqCDGWV/UDp1bWA7YjpBzpYw5YD71PVJMff8l8xX/YTnFsqEre0Nvs5m7R4ujHFvONybQcDcXb9CQ41HZ72jnfKdwGsJNlwbblR3p3pvLBapmCWWEAnGt5Lx9PHeUbXqa70GvKNUm4lT0FRSHbPJEcycOgVgbnRoZf1fe4PvnQRWb6Lc16B6ziwemZPn2GsahTZVCCj2mSsDBqC9TE9BPpVOWx4jRrxMaiqXgNbCgjdzxUZ/J2KA2beXYLz5KiVDkFpfUSTnjMrwbzt/ddHd9zfS23VmlT1JjNdZ+/JMB5mzYpBsfcaz0R18tXB97UensfvLzzN3dN3t3M3X3gwzZvunOOVx8cnHeKWDl7wd9ms7y4t3SgvMeE6XJAL3H2wBUoXyTSr5Gq5dmPq7HJ/9rocXlMxexepsRBc0l7e/t9jE7urcQ7MBWMeWfUSLz6cwZdgq8E5JWN1qgQzUZNVgs9/xJrkcvFyj39HUQaN9yPpTukvbMfCrDV07HAv6Oe+W6FB3BdkopNUFIX6LkRfq77xEccI1VRMYuGX0walUuKPy5RaCVKeD3J7XmFQ1aWLIUUvU2q2ZkrZ7hg2igHVbWrboHSIfLc1F7JeGp8p1SQgw8PDPkCpi0TI5wdTqupW2323W4axUd8i7vkjW613vK4iiJsaNeV2FCm5uNnZhV7z6sR9s4clbdW0fYisq/E5uTdpa1u+q4zfBRxWlqlTEHGOKfbYoHQi2RmVEjFUbE/DE3JgF3hY6Y08Pzk1gaFa/NpL/ytu6Q7OLhVZjM5SErI9PzhKVcKftY04dTdYiDfzo3eGKw2XmuIT7/N920bAlALUwi56za0R8TzK2MHjXTVtT7GsqdTy+4squLJZxdAUZhIW6/4jCKXJEfuVQBB0D72xMKVmcO/rYzbmpuwArF0VbnsWvl/lWzPGXV1fXeg4QkAf4CLcQL5rjQJKQ5OM5TBqSbZiYXyfnGxgeRrZWLDWCiGI6sGBID8oBujqV2D+NI6A1epqJyhNHgikvQQzmSczJweC0gfXH8f0JQtTrxg7guBmVTISHBSKW9sZc2W/SWwMRcVeqiXfdfYBSh3fwUOiSQVzTJZ5mykdLnFthOyRpvRnSoUQiHAkotonpuNqyJJPJE90/PvxEJQ+vVqCU2+F2CTnlovcNptoXwszSYvHyikWXJfrO5QeZ8vXudXxuS4neuW70GZGRgKlayWWTJdbze3D5q2zd7GuaZQ39wY6/OoWBUUh0W/e7W1/NbBBAoF08lsOBkYzv5rNsHb5H/b0Gcaq8jqbqkpGj6MIhUnVZs1v7MvcUUpJOdzD9gtKa34TSwoUETRBPD84yBcH/H2dMTKlAbKRYL3r9tAYVPkwnuOJtb01LUatrYpDUfOYVjsbdlk7iyIU1gwziO7pWkMC+a4zsAlt1tcpKAoXipe5d+be9r9buspvf+/dLGbHV4ikozq+G1zvuRF8Pzarq2Q9j2b2BLFWBFzqIJlaiXwjz8nZ4G98bkDeerkSNMhjkd0Jkr8pBuyojcrsgMz5nbWQCrJKr+ef5v986wtCoiT4HOmuPToTNViRwdpxRI/T8BosVXaw175HheDvMxXrHXubiBkkbZ2lmoYCRDS7v3xXuER9lYn4DADlEQmC/5+AUotEaPLTku8GTOmYoNSIoyKwPI3cLp2TmvT6gtJW3EFgNBQCz3qBEhGixg5QOiRrrRFmNa6NC0plIN+VoTSp2RwfJLTKR6I8Ty4PRTcRBFLF7hmhzWaBrOehWntjNZIRnTU3xUHP58KOQHQpJWvCI+LbA0FpOmJwrJbiq9reAFsLlBrKeIYgu1XEUMmR5KgvuFy8PJIcrh5ufjGz89AihMD0g2s63xhf8qQ7OdY0jbceezPffOROTE3hzI0Ci+kgiufq6uMjv1Y1BItxK0XJDTqnm4XLIz+/0nSpCIj1sWy3dRUv/D1bTGndqWJLn7qw+8o4FxKL1BWFjb1Ipv72V+CP3gAfeBPf8eS/4f3W/43y0R/iwat/hu+k8KrBJpQKIwS65WblFlM6QMI4qOaicyhS4YquD839K4UxV90RJJoyeJ7dd6u4QmCPYMZzNBmYt6yFmrbaZmga0yiwpShonkkmun3fJY0QnPeT3TWrsPIkHHwJK+UVfOn3MqXFG+0D7enp0zy+/nhf8PVgbYmjdYUXHnzu8kB3q2Qs2OQLLSt/KSlLt28z5WaWdRNA6Xb2sjK29NkM987d1qt6CCh0MXjdFOGsX83pPdRfWDuPJiULc3d3/PtEzCAd0duxVZ4veWq5xKm57YbnTMLiSs3kgK9wrbkV7BPVNdZkg4NkAMFcN1MKxM1gDvVyn3m77rq8fIklXeVkbNtI5mgmAND52h5jYepbFFSFpNnHEFD0Gr9117951Yupr3w7D9kWb7n4AT789If3bRY0tCprbKoK2fDAPWkkWFPFcPftXarqVtu+4fuW7/oOllSImRqTcZNGCH4KA1zNHTzMMc5bEyEorY9o5lf2gntipTq+Q/HVT/4mq++9b6Qc2K1akw0Npru9BhSNrJVlTRGA7HmtTMSg6flUBuSWRpsbPB6qcm4Nja32W9mo2VZUbY7QDNpobDHh+aQXd8z5pxfJuk186aPrdaYTZlvS313laitLerrv4+33KTe4sRVHIDiWPYkidr8uslYWG4Vr1RWOTUZ55Be/BU+E6rYuUJqN7QClIYHVIeFtlAIne2grsXaWEIJjUzGulINGfFS1+hsdCY+o1JiMB79vtflPSL7rKBYRv4Gu6AFT6gRM6djyXUUBM0bMUynu8gUGoFTpAaVGaJvf2HkwaxQpyggRU0UbIRJm70yphybBDy+0xj6c1lwRMKXPh1LDRoAuekFpzi0x4XkofWazRqmUbbBVdzkubC462xtVqVmkJgS6F2u79HZXOmIwWZ7BEYIvXf27sd+7Nbuo33RQqpGTcY42HVx/NAfephcwCtE+LJchg0PWOPObAA3XQ1WC+ywbnUFTFU7OxDlzo8jBMB/wysojI79eLZSwRq0kNYKDe640uvFH1angC0j0AaWWruL5Vsf71JwKtpQ4A+b4Dk+Es07lK30fH1oPvx/yl8FtYDTzHFA2WL/2Fe7fOs+LagkurQWbQGvT6GZKK6ESwxyTPZtJ2hhOgiu61nf2p1XlEJQmupz9NBHMs3t9YjtcGQCAUYyOUlaKjJVhQwueU9sIr9HKJnlFQfFs0pFtwN1mjJt9VAnLj4H0YOFFXC8Hh/6F+ML248kDQXxXeFA6PX2aulfviYYo1Ld4miYT1TR3HhjfzftmVTKchy208lubZUqKIDpC/ut+yg5nQHdjKodVa+Zf9RWMcTLEAUvTUKXc9f3r4bVpqIONlATBY7U+RjGXi9dYcFzmF092PkeIttkRwLMbFWqOx21z23FjM0kbEMzoScrSpdAocG49kLPGOUg2avQ1RRPxA0y6HldGAKVb+QcBOLFD1tdy4C3I0WNldpbSKATyXWtv0UbHpuLcYr+R/7A+y62uz3u+8h5+6K9/qO+82k2p8ho5RSUbsk7TVpY1VRsJOA2q0o61I1fbmzlhqyq+iyFV4pbOZNyk7AQgrThgvMARPsYY8V0tQ7P6CM6xnu/R8AvBWJeyydOro7PAxbqD98D7mM4/Qun3Xj90TwAoVIIYkuk+19FUZIo1wnu3S8KbjgZryyCzo5ib45wV3GfHUsdG/vzDKhszaHjB/rlZ3sXYz2tQ9pvYnsap4zsyQ1OLZEKT1Xw9z22zicFMaT2PkBI7OryheXapCKjMRg5x59TdQ3+2VUIIDphpruNCcQlDU8iHUvRuYJkJZ0oBDrvB36Nj1rhRDJzsJSSM/lGKxyZjXC4F+CCqmn1BaUnxiUqDVGhIWHVGa/TsGZQKIX5RCHFRCPGgEOJQ12M/LIS4IIQ4I4Q4vdf3GLVcxUL368SNeNt91/Z9/L3ImcwkCU9Qcgd/gVJK6vhovtIzU2qGuaUdkTD1IgXfwtAdPrTyfkpC4A/JWmsxpeOCUkf6qFJsg9I+0qRRy4fnDVOqGsF3bqD1GB3l3QoTnodm7RGURnTyVYfj9hTXpNueQVoPbbR9JzGYKY0aeKVZUp7H5y5/euz3boQ3ujoobHmPZRsq616co7XgcDWKA29TNlCkbF/fO8sk+G7HZUoLNQdNCxbObJildWo+yZmlAnOzL0KVkiu58yO/XqkWADPLTOGYC+hSkquOfkirhnMRcb2XyVMVASI8yLZAqVvF9n3cAaD06HQQHbE57kyx77PaLPC1U29k/Z//KW9u/jL//Y4/4ZOv/bf4QvDvi1/lLVd+FdzGQKa04rRmSsdjz6YSFl4jw1V9+AGvZdqQinQzpQaOEDQavWuPGzY27BFySgEOJw+zIYMDVDMfgtLqJnlVQXoRMtFtUNpy4t3qM9vCjVCKO3+6LY+c22n+kAoZpx0OvECPhPfhy59FCoGsLnLH/NcPlCaSQQRNIZSDUS9QVgSxEaJ29lNW6DS/H6OjlvpDSBVzzJlSXRPocnf335aSwVAHfx+KCB6rN3qbGEvNHNMuHJvvnae6ZTrG06slpJQ9JkdAO6t0Qg8OntdK1zhz/YsoUlJxT/aaHIUlkweZc11uFIY3sEp1B1cGEsyTc9syxtnoLIZUyOsl6s09NA0aeWqKQjIy/mxeq152bIKnikf5w2tXeM89P8OFrQt818e+a9eIpb2ULAdMqaZO8G8//DhZe5p1VYVdUhOG1c6DdX63nOZdqoqLLlXilsZkzCRfD5nSAWC3OSYobRmaNdkdlOYbeRA+pnsIISQfffKxkd/nj/7qHzjMDf5WfzWivIrzh29om8L1K7cWMLEzkd57ZyoyxVrrTNoFSjNhg3HQXGnS3eSiaRLTYx2uvvupbNSk5CeJ+D6bg7wIwmpllDadFPcc2gHyUgfJhD40m/VNTs0lubhW7hvNVK5vEfMlSmT4TOmZG8H54o9e99/4idM/MfLvsxA/wDVNg5UnwG2Q85voKD1EQjpiUBIRHMUiWcmTsTKdDrwhU2phDvQoODoVZakenHsjitEDSj3fo6xARFjthnHNG22MbU+oQwixCLwVOAG8B/hPOx6zgX8H3A18L/A7e3mPccpTLQzZIG7E2zOlUenh7QGUCitB2oeqN5j1aXgNJKD1YUpVRUVIJWRKt913875NRVzk8xuf5jHLxHeGyXdbTOl4OYsOgYGEL8OO9n5nSp8noFRpg1K1JxIm59eY8Dx0c28HtumExWqhzrHEYaSAS+HMzmpo919zUkOYUp28TPLKao3Pr9w/VjwJQN1pGffcXFAa0VXWZYJDpU0EYqS50oYMjBv6zdGZajjPN6bkqVB1UNQAGGfD4f/b55KU6i4rcoY51+NqaXcWt1WlcAbSNNMQnSbjeeRqo8m5PF/S9MOsR7O/vFQhuIZqISCrufVAkTEAlC5kgo5qzhkzp7a+xTumJ/me1U/zmo/ch3b05/hk4V/xe2fex6nsKa5PvZ1vcT6H/MCbSTjBNdVtdFQNmVKjTxNhWE3FTerNGa5qOn4fQ4pWtYwNJqKdnVQ9nOOr1HvBoRc6NNsjXs9HkkdYa1xnQ8bxWzOl1U3yqorrxtvddYBsNIruK+S9eq9B0/WHILUI0QmWykuoQmXSmuIvH70edOaT21mlEBhDHE4e5pG1Tpb+wat/h+X7qMY9JAfc8/8YlUwFoLTYmp+tFygrCvFuk5qbXDeDKW2tz4pUx2ZKNUVBkxJ3SN4jbDenjCGzy0oIWGtdc9NSSlapk3StjuurVbdMxynVXVaLDc4tFdFV0Tb+gGC/AIhowTV1vXiVs2uPccRxeLx+qNfkqPW7ZReZc13Wq8MZm4trZbBWyXgekzPbLIoiFBbUFNcMwY0bo6+Z7d/bD9buZB8wMWp909EsD7nHEMBb9Wk+9paP4UufL9340p5fc1BVSks0FIXrW1E+/PB1VGWKkqpQHTF3u1/tZErzYzQz+1VVSlSpETM1JuImy5VgnSwOcHl1FLknprQm5K5ux2vhLN+degDm/uHZs8N+vF3nlopsPvZxioog9uYf453Kz9MorSPf/4ZAxdOnXCf4/qe7HF8hAKXrLWVCoT9TOsiBNy3zXDEUjqaO3rRZfttQaWgJsp5HbpAXQVgbYQPQVWba9zgQuO+GTGmunuO2uQSuL7mw2qtSLDWLRKXP9brJlc3B41znloocyNjMJzNt5eUodSB7K9c1DX/pMSivklcV0lqk5/tSFUHKNijoE1Ba4kjySIeioVLKs6UoxIY09TJRk1KokIsKrcd9t9gsIoUgQmQblPqjKTf3ijruAz4lpfSATwE7PYvvBR6QUpallE8CE0KI57SF66k2pmwQ02OUnBJVt0rE95DjzpQCmHEmPJ+6Xxg4dN2SiKq+2gNKIegCB0xpE6RE1osUfBuUYNFrCIHvDmZB687+mFIvnClt7AOUegKU54l8VwuZFx2lY/C/6lSp4ZJ0Baa+h2sBmEtarJXqHM7eDsCFG0G0xNrWZQDytSyJITOlmzLBa6o1Sm517I5xrVlFkRJFvbmyPNtQ2ZQJIvUCC7H5kWJhmjhYfv/rwVL7S0h3q0LNwdOCa7QNSudDB7uVMovC4Gpj9BmhUr2I7ftodoJk1CbpCXIj5rjVHA9bCX42PsAUSyjBIbcaHl7qXgPbl/gDsiFtzSbtSfJyvMw7WdlkSVN5deI433f0x2luvopT6dPcNXUX77rrXSzf9eP86+a7kUuPor3vW0josR6Wuhoy+taYks6phIXTnKapCFb6hGq3qhJ2vLORzu9KDzfRep95do9gPRsHlFbcEueVNEqYm9osr1BRFJpust1dB0hFDAxPZwsJ3evejUdgPhDsXC9fZyY6w29++iI/8aHH+cjD14OZUoDC9rzV6enTPLr6aIcr4UObZ7mz0SS2cNdIn/+5qpiZRJGSQksuXy9QUhRiZn+p1c2qSAhKvZsg3xW+NvZMqaEqaHJ3UFyuhfLdYaBUCQ/1XXLvXD1HTZGk6c+EH5/aNjs6t1zk+FS84/eYCZlSqR4C4NrGOc6Vr3J70+XLpYmBoNSaPMy865Jz80OzSi+slqmYBW7xBMLsXHcWowe5pOtsXB0NdLSq7ngoSgDOkyOYsAyqFx/O8DXlCD4KXH+QCXuCycgkq/sEeP2qNQOYL4UeHuG4xnq4L++lWjmSmpS7NjN/+sOP82uf6h+/40ufmpAovkYsZEqvVSNoUlLss0e6nk9TgDHGuJmt2SChrCiwy5jWagio3rn8l4Dg2cKlXeMGfV/yi//zDK/Wn+Ad8wf4kYd/lvXb/pZvs97EaqUA738jbHaeG6SUeDJQ18wkFntecyoyxVazQMOIw8XPwrUH23P8LdVLP6ZU+j5ZucV1tXnTpLutEpE0Gc9nc5eG+kZIRkQSXe+v22RCeWyunuNUKOU/18eBt+KUifk+P/6xK/zYHw8+C55ZKnD73PjGnAdSR2kqgrXlR6C0Sl5VyQyQ32aiBjllAorLHEke4VLhUhvv5Dc32FIV4tpg74eEpVGmBUrVHqa0RVBE1RjJ8DxVZzRTrr2C0ilgA0BK6QKqEELtfiysdaCHbxdCvEMI8ZAQ4qH19f3p9z3NCkCpEWvLdyO+3KN8N8G07+HTHGhO056LkWqPfBdAkS2zjwY4NYTvUJRRPCXM9BEKckh3q8WUjm10RABKlXAGsTEoAH63khIPnjdMaVu+K5UOprRl8x33BKa2t6iE2ZSNLyGSvAPDl1wMnRnXw9m0fGOKlN2/m5WOGmyS4KW1OqbQ+Lsx50prThVTSpQR5Y6jVtTUuCKDTfyoPTUaUypcLNn/OzSsDJqU5EdkJVtVqDk4avD3asl3b5mOoyqCM0sFFo00l/36yLEwlWaZqC/R7TipiE7U18iN2JipNlys0K0u0c/sA1DCRbrWLAcHDz8MPB8yrzzpKuTEePdhrbxMXVG4K3WCI+braK6/nl+89z387mt/l1cuvJKjkzE+7r+UR17zJ7B1lbQUPfO81VCJYY7Z0JiKm/jNQMJ3pTyYdaj5dYSUZO3OjUsP5cLVWu9ByQ2lZuOAUoAn9QRG37aBCAAAIABJREFU6GSaD2d/an66QzafiuionhkYNOw0OymvBWAzBKU3yjdQvSy///lArnRpoxz8/exMhyzt9PRpSk6pHTZfaBQ439zkZE1wy6EDI33+56oUoRBHUAhnhqhtURGC+IDr9maVHTb23H04nHbId8cEpbom0ABXDn//Fig1hzDHQg3u2W5QejUfNGIy1nzPcyCQ70IISpeKHfOkEGQfxi2NJX+OSdflgZX7yfkNbtVSlBx1oHw3PnOEOdfFwx8aR/fUSp51s8lJrfeweev07axpGptL/TN2B1Wx7qCFDfPkHlzqWxUxNE4enOWyugjXg7nXmcgMq7tII/dSuRBoLeeDa7JcD679tdLuM7mDqhyqTeZdd9dm5lcvbfLolf5N2BZpIXy9PVNalDESvr99z+6ohuvTGBOUKkLBQKOiCOgjQd9Zl7eCtfOA4zIrLISxzt8+NdwJ9SOPXOfJK2s8lrnCWQ2+/9bvJ2EZ5Ga+xOvms/ys7XP+Iz/Q+Xs7PkINmODpdC94bMXCrJ98HTz7eXjfa+HXj8CHf4jpZz5KhDq5Sq+arFrMUVY9ysK96aBUjWQCprTP32VnXboe3FPz8y/seSyVOoggAKUH0hFiptZ3rrTsVIn78PBSg6dWSjy70YsvinWHK5vVNrgdpw7Eg33p2ubXoLxCXlFID5gRz0bNYK60tMSR1BGKzWL7vFzYyrGlqD0GSTsrYetUQqY0gtILSsN9OqIliGgRVAl1MVp+8V5RR/cpUQx5rPvx4Iek/AMp5T1SynsmJ/fnZOhrNjYBU1p2ytRCV0y5F1BqJZgODYoGZRe1bOSVAUypgk69xZSG8qASNo4M/rsiNOQQprQRMqUb5Qa+P3pOo4OPKhXU0ODB2TMo9XEFKGPISb6epYeujDpKx0xpaw4g5mlBYPoequWUuKIucNRxuBhq71erqyQ8j00/O1S+uykTRKTkpZF5Pnftc2PmbgagVOg311UzYqick8Ec3VFhjeTA2xQe5oDrQbHSpD2P/JiHj0LNoaY5RFDbjJ6lqxyfigVmR7F5agI2RnzdslMhIn00K046YqC7Bjl/tMZOpelhhFLiuNV/5kNVQ1DqlNsHD1v6yAHdSICsb7GhjifbzoUStEx0isubVTRFMJfaBpdHw/Dqx/yjYCVJovSw1LUWKB2zoTGdsLZB6RCzj5rfwPYFUatTgWAMZUqDdTUy4uzjkVQASi/oJnY9uAa2yivh+2RRdsRVpSM6wrPZUrpAaWuedOEeAJ7NX+OZZYPX3jrFXQdSXFoPP+eOrFKAe6aDn2+pGx5efRgJpKsT3LHw9ZsnbVVSaBTCfcip5mgoyu6h7PssO2z+DWPydqudB/axQamqoEqxKyithIHu3Rm6O0voUUzfp9Z1mHriykMALKRv6fu8bMwkGzX48jObbJQbHfOkrZpJWJxvZjngujy4Fcx/LkYCKf8gpjSezJJygnupI56hq86sX8QVcDK60PPYbQtBVuHy1rmBz+9XxZqLCA3F9gNKAV5+bIKvNI8gbzwMvs90dJqV6v4isfpV62y2lg9ln4VgfVwbI5e6u1ruqAccl/yQzFMpJb9Q+Y98f65/TE7rfCg9I5Dvxkw8VBI+FPsQHblKk4YC1hhSTQADg8oITOnVwgpCQtbzONqoYNrrfObc4D21UHX4j596itcufJX/lozw3VP38rMv/ln+/Dv+nD95wweJuy/nM5bFO/Qt6rntWcStWhOhFYj5PtFE7/XZmgVde9m/hp+5BN/9R3Dy2+HKl4l86t38pP6RvkZH1dwSzxjBGatl6HWzyoxnyHgem7tk3F5fC3w37rj9FT2PaalFUj7kajkURXDrbDw0K+qsklfHRqUFh/7mbO998bXweafm98CUhqD0eiMHa0+RUxXS0f5y/EzUYMlPQ2mFw4nAyb8l4S0XcmypChPRwbOvCUun1GJK6Y3WWi8EjZCYng4i26RGVRlt39grKF0GJgCEEBogQylvx2NhTRKwpc9ZSc3GokFMj5Or53ClFzKl493kAJgJZkNgszFAZ97aWBVf6y/fRd9mSuvBRVaUERqhjK8i1KFzAC2m1PEkW7XRD7RNJKoU7YNoY0jszNDyHFzE84Yp1YxgQzKk6HDfbf39Iu7480utmgvlWNeqOsd8hQv14FJeq+eZ8jxyDDE6ihiUsfEUndfoGVYqKzyVGz1Hru7UA6ZUu7mg1NZVnpWz+IrB0UZjJAfehvAxB3RyRSRNyvdZL493IChVKpRUSaZrduH2+SRnlwocTAfutVdWHhrp9apujagvMaPBvKFwbXLCH6kRUG26mC1QOsDso82UOrV288P2JYo1mJHJEGNdlWMd5FtdxnR8niubFQ5kImg7rt901CATNYL5MjsVMKVdoLQ1jzwqK9l+7YiOJpOYUnDFGdw9rslAzt3rPh6aQfU5fI3LlE5HpoloEZYsjYhbAKfWltXFjU4AlooY+G6UfDdTev0hECrM3MFXn12m5OaZsuf47e+9m2NTse1udfJAB1M6E51hPjbfBqUPLj+A5Uua9cU9dbFvdiUVk2J4DZZCZi22D5OaUSoaHgy9XWY6h1WLKZVyfPmuriiokl1nSqvhId0aImeWWgRbSmpdh6kLK2cRUnJsfrDr5fHpGJ9/OvjO+10LM0mLr1XiLLg+PhJNSuJ24Ca+kO7fkBFCoLtBs2NpiBPo9UIgzT2ZOdHz2NFMAKRzzfFiP4p1B5SbA0pfdizLo/4xRKMImxfaTOk4zVgIGpZ/ev8VHK9/rMxmyGpKL4ahKSxvBnvk2iAZ5pmPwp9899D3rIRry0HHZcurD4y0KTVcXiAusuj0NwhssUauqwdGR/Hgs8VR2o2knXVpvYgrBHF9PFWLIaxAvtsYDqiWy6skPImiRTlcK6MYa3zhwiq1AfErv/Hpp9hq5Dib+AxHHJefeVXbMoY7p07xwe/6daZW30xOVfkfD28D83zFwdMrTLsu2L0NsslQGr5WW4NIBm7/LnjL78BPPQVzd3OHdpVcH/luc2uJi+Haczw8E9ysSsbjJDzBll/vGNXornxlibgnueXgod4HU4tkXKedqX5qLsnXlos9hFLFb2L4Kklb59Rcoi8oPdMCpXvYY2ZiM6goXNM1uPiZQL4bnen7s5mYwVUnCV6TI+Fe2nLgrZXzFBSF6fjg+fKErVHHwBcqUZ8epnQ9NEmMh1nKUQyqit/r99Cn9oo6Pgt8ayjZfSPwBSHEbwghXgc8ANwthIgJIe4E1qWUo9ku7bGkHsGmiaVG26HHtpRIdW9M6Vy4cGwOkCNud3tVdK2PfBc9nCmt72BKI9T9bVA6jCltzZTCeHOlDhJFKuih8cqe5bu+G8yUPk9AqaoFzQdDir5Mqe0Ze2ZKZ8PO9tJWneNGhjXZpNAosNYsMukreKikhrjvgqCmZ3iVZ6AIhc9d+9zI7113a5hStuXJN6sihoaHSi11nKPFAEju5sBbV8Cif5NHi6SZdD2+Vrg4Vuh4s7jBpqoy0ZVbeWouwUa5SSoRRB6MmlVa8xrY0seMJEhHdHw3Rl2IHjOTflVtemhKsLAOCrfWjCQiPMi2XJhtKVGswRtIRkvjC8FKeXQ3xxbjnI4vcGWzymK29yB7bDLGM+tlsJKkfNkzU9oMNwlrTKZUCMFU3CbrR7gimwPD6GsEOXzdpYcHq3qzd+3xRQDMRwWlQojAgddsxQgssRVeX+kuqWrK1nG8BFuqCtUd1+CNh2H6FFdKknd98LMAvPPlLyJiaByeiLJWalBuuIEDb+Fax6Z5evp0wJBKyUM3vsSdjQbV5EmsMV1jn4tKaFEKMszmDptvcfu5BaURvcWU7h2UttZnKfXxQakm0KTA3SX/ssWURuwhjLZuY0vJcm2jwyTsRukKs67H4tEXDHzqLdNx3PDAeWufw+Ns0mKp5LCgBc2q402Ha1ogOxwk3wUQ4ZTTjQGZiaW6g+Q8pu+zOH1Hz+NzsTlMKciJ0ddgCGf7wzGK5BB2eZS6YyHFeS2M0rn+INPRaepeneIu8sidVW64vP39D/Dzf3mGT5/tz+hthk7e0o1y34lJLq+7RFBYG9RIe/KjcPEzMMQ5uhRGdsy7Lh6S4oB9Y71YY4ot4n7/Y22rKeK6JjFTYyoEpVGpUvR6z3MXN4JzSmLMLHVTWFSEgH4xWDtqrbrGtOdSOfndHPFVXFwa5PjChV6u6PFrW/zp/Vc4eusnKPtNfl1fxO5yiz2QifAvX/cjnKh7/NH1f2iDua1ak4ZWZ9IXoPZ6eEyFJlprla7mtRAwdYqj3OjLlDYLy1zUdaJqtD3mc7MqGzOwPR2f4Z4YFa9Awtf6myylDpL2PDbDEZPbZhNUmh5Xcp0NiJLvoHga33Q0yxtun+HRq1usFDqJo7NLBabiJlPx8X1EdEVnJjrNdU2jef1BKopC2u7/fWWjBs82g3t92nWIaJG2A2+lkqOmKGQGsKxA6KMicNQIEd+j4TU6Gu+brUxWK9iTIsKmqAj8+u7rwJ5O6lLKFeD9wHngV4CfARaBjJSyCfwC8Cjw58C79vIeY30ezUYXHrayveDb0kcoezE6SjAdAsZBTGnrQIqvoSv95LtGwJS6TQgz00rSpuIF/11V1L7h8q2quhWs1OOAHBuUCqmih/K4Zp8FcKTyXVzx/GFKhaLQkDqGpJMprW+gSNA9Y88zpTFTI2FpLBdqHAvlERe3LrLuVcmGIG2Q0VHUCGaOy2qKTK3IXZN3jTVX2nAbIVN68yNhAIrJExxeu7irA6/jutQEWAPyUo14hnduFSi6Zd79uXdv3x+7lFtaZ1NVmOiSHd4eSlc25C1oUnIl9/RIrxdISiESiZCOGDS94HU2R3h+peGiqEGUlD7gMKsaUSwpqbk1amHkiiUl2hCmNGsEB81L66NH27ScAAOmtMqhbO/M6tGpKM+sV8BKkfLcnpnSVhyUZQw2KxhUk3GTmJfgqq5Cpb/IpYaH0WfG2Axl2I0u+a6UEndMUArBXGlB344RaM3+ZLs68emoQcNLUlYUnNahx/fhxiPI+dP88AcewgvnnW6dOBS89kTwvV7eqARMqVPtALSnp0+Tq+d4fP1xzpcu86J6HXNuMFj5x6ykEacggEaZUgjUY/tkuXYrW9cQcp9Mabi3Sn/8Nbkl3/UYDkrr4Rx5dAgoFXqEecfl81tP8fIPvpy3/s+38p6vvIdn3WUWXJfoxMGBzz0+HdxTBzI2Cat37Z9J2qyVGiyEM3S3Nxqc9Q8SN7WBqhqAmjnHhOsNZEovrpVRzSWOOw5atpcxUoTCrIyypjfGioUp1hxc1UGlfw71OKWrCtOHTlEmCtcfaks2VyqjSXjrjsePfOBBnrheQFcFj1ztw3w2yuTwiEidpG3xTUcnqDQ9JhWbNb/Ry8ZICTdCtU198Kxoub5FVEqyYcRHrtEf3OfWltGFR5JS3+iPauiw60mLuBXIdwEi0qAoe0Hx+XBvOLJLVEh3WWqUsqLQrA0HpcX6KtOeizl3G4cXAk/SdGyNT3dJeC+slvjhDzxEeuZ+VtxH+anNHCeOf3vf13zz3Qu8orHIsuLwoTOfAGCr6lDRmkwPaF4njASmarLebyxk8gRZmadR6iWC/OIKzxg6C5FDN815t1XZmInuBn+fQQ319UKVmtogqQ7YS9OLgdN/CMRac+bdc6VlfKSr8/LjE3zr7QGD+ZlznffF2RvFfSlxDiQWuWZFyIejLYPmQjNRg6t+ABjF6lkOJw+35bvF8LpPWoPXz5ihIQQ01CjR8H7piFSqbWL5PpEwMi6mRtlSFarF3X1H9ow6pJT/WUp5TEp5p5TyqpTye6SUHwwf+wsp5XEp5Qkp5aN7fY9RS4Rh7CbbC77tS+Qe5btp3wcpBs6UtoCP9PT+M6XCCGZKvUYHU1oOw2NrQkEMAaV5HkGf/TMU6wZrY8TCOAIUqWCFxivNIWzs0PK90Ojo688IjFpNNEx/Wx4GQVMhIQUNaY09v7Sz5lI2S1s1/j/u3jxK0uss8/zdb489IiNyrzWrSiWptEve5AVLNjY2MB5DD2MbG7cHMI3dIA/jBsPA0PRhhp6B0+c0c7oPmGbfhwYMY4yH9iKvkhftVmkr1ZJVuS8RkbF/y73zx/dFRC6xZEVlGUvPPzqqjIz4MuKLe+/zPs/7vKfyNwHw7OqTrCufTDS3sl9PqRCCbNyirGWgtsb9R+7nueJzXNlnGEMraEZK6cGm78YjUlpM3UCsusKhxPRApbRW2aKmCZw+oTlOKs8dLZcHsm/jqbWn+Lkv/txAK0wH9Q02dL2TvNvGTVGf1pPFGId9yXwf5WA3mtLDloK4aZBLWNT98Hk3isODnOpugKY3SEkJ/UbCWLHI8tfsEG8t0Ik7/deZiURYyDi/0jupsRc6qqdMUW35PZXSE+NJNmsurpkm67VoBs0dxQDXq2MohW1dfUFjMm0j3DwLhoFX7m3rbgiJrfbe921S2tw18sqXimAUUpqdo6HVqAoRKqV+FaFgIrEzwCEbN2n4ISkrt1XpjXPQKlPM3ca51Sr33xoWKWeTYYjN8fFwnbywXuuZwHvXRBhq8fEnP44C7qq7TM3dvu9rv57I2FnKmga11U5AS7JPCvRBwTF1NOhra9wP2gcXIa9eKTW0sEzqDyGlbUtuIt475ANAWDF+a2WV3zv+Ln7qzp9iMjHJP174Rzb0Jod8C/rM5wO4IRoB06ufFMKeUqVgIhb21Z3REjxfsQaqpADV+Ayzvs/iVu9Zpc8vV2g4RU63PMgd7/mYQ/YkFy2dhfnzPX/eC1sNj5bukxbmgRz67z01waPBHO6lrzMV2Qf3k8Db8gN+4o8f4WsXNvkPP3Q7dx7J8c1LPUhpbZUNXccKYtw0nWIu+h5ntCRrmtob/LO12J1f2uivhlXdCkkpkUE0d7uPFbi2Ge5HWaps1feeserR7wUyRtI2iFk6SdvAUhZbPQo6l4pPAnAmeXUBao6ZoK4JWrXB6lPV32AiCLDHTzB367sBuLdwls89u0oQKf7PLVd418cfRlkLqNw/8MbkHO+uVOHUd/d8TiEEP/zq93PY8/itb/zfBIFko9agqksm+2QGCCGYiE/0vhcmwrNVptpjr64s84JpcSzTu8/7WlBIWuh++L3sR0qfOfs4RV1QSPTJvskeZUzKTjjWqckkhiZ4erFbAHEDF1cAgc3rT45zciK8b/+/bU6Aphdwbq3KmRGSd9s4nDrMFcMI21iAMbv3GjiWsHhaHcNLH4HH/7STwAtQ98Prztn9Mwo0TZCyDRoiTiLiMtvHwpRaJbJSokfp/AkjTVnTqJevIyn9jkJ08IqprjIaVwpljEBKnXTYihzE2Kj3fgPbY0eEMnrbd4W9TSlt95TG2HK7pHSQUurK8MPVY5evTikVIJSGEx2qW8GIPaXSwxfiJRN0BOBiYkUqVhvrjXXGAmhgHwApbTI5cRupQPK1y19ACkgSvs+Dqt9jcYsiaaivc9/h+wD4wpUv7Ot1W0ELWyqMA7bvJqzwe7IeD6vtJ+xdw5N3oV4tUdM0Yn02m3gmJH93Bjk+9sqP8fnLn+fXvv5rQ/uIZGONkq6Tj+/se0jaBrPZGC+u1ziqOVxy9zf/tIGPITXitk4ublLxwk1kc8hAegiVUqU1Q1LaR110LIuYVDSCVtcmriwSVv/vyUT6OLpSzA8Yr7IbRbeCpWC1HL5/PZXSKOyoTIJcNJN0uw2xXdAwRihoTKQcas0JfCFYXO9NphtCYfUipWa7ILZz7Wl6AYEWHsiuZkzN8UwUwmCaoVLqN7GlTj658zmyMQsVhO9Jsa2URiFHzxvhYcawiti6TSGyuR4d20ZKd80qBTiaPkreyfOlhS9hK0G8mefWY6PPcTxIZGJ5KppGUFnpktLrPKfUNjS0fdhnB6ETAiPtq+7zF0KEQUdDSGkraKErRTw2IOjISmAreIVd4IO3fZDfevNv8U8/8CD/ft7g3d70wOc/PRUmhPcLvJqOcgimYzfxK2sbfG/2Zq4UG31DjtrwkoeY8X0W+hQtn1mfx9V9TisD+qjAc5lTrBoGly/uf/zYVsOloUmyBzR67LUnCzymTmGsP8NkZGEeppT6geSBP3+cLzy/xq+981becccsdx/N8fRCea8aWQ0dNtKNceNUmrloLYyRYVU3ugS0jYVtmQTNAaQ0GtlR88L9rB8pbW0u8PfJBA8mHCqlvW66evQaXhAjFQXBjadsdOlQEewp2FZbT5EJAmZmXtH32nohbqZDpbTWX/31pU9N1Rj3A8gdI3fqbWSlIsmzbNZcHrlU5NnlLd79Ow+ja4JX3fEEcTPGv2tZiMwRKPQngoVb38r7ylWKxjL/1xc+zWJ1GSVgaoAFfDw23juMajzskR5v7N0nS/VFqrrGiR6JvteKfMKGIDzX9GvXK158knVd53C+dyGIzCHGAslW0MSTHrahc3IiydmlbrGgPW7I0hMciYrMbz0zxUPnNyhFfbTPLlcIpOqMxRsFh1OHKREwb4T3XT+lNJ+wUWgsz/0LuPgl5qwsK/UVtlpVGiosHA7rL085JnURJ+GH6v92pbTsbpELJHYs/FtSVpaSrtPYGj6z/WVBSjUrUkpl93AYkxJG6SmNwhEMP8ZKn2j2rn3X6mnf1YUV9pRuU0qrmo6vQqVgmFLqqZCIWvHLVzUWxiUcSm60D4YDXmMgpI8PdKf8fOfDEya2VLSCVocMbTQ2yAeSlrCvqQI8nXFYKjcQhZOc9Fy+thHGgztk0DVB0u5vE8/GTdZkGmrrHEkfYcwZ44XiC/t6XVd6oVJ6wCNh2vbd5ViYbnpCmQMTeCuVTXwhiBu9D72pbEj+ZL3Ee256Dx+45QP85XN/ye9+63cHXofnhgeVfGrvoO258QQvrlU5Yo8xr9x9qTNNAkypk7AMcnGLTT8ku5uVwQPpIVRKpeaSkgrs3n9nzNKxVWgTbq8BSlrEB3z+sewMU37AUm1/ai/Aplcjh86ljfA1+imlAOt+jGzUQ7f9EOUFUT/yCMnNEymb1Wp4ML+02cN2rBQ1TWCJvc/dVmZbwU4Ld9OTeJrEUALjKtoqumNhkqjNC5QIsAKTXHxnwdEyNGwtLCaU2m0XC98EK8UTzZBINtQaM8mZzloQs3RmMk6klEZ2zW3KsBCCuyfDUTK3tAIuiSOcnLi+xG+/yCQmUEJQ3ZqnEvWwXW+lNCSlIIeQwkGoeTV0pQiU3XOc2jDoSsPvGfDfRTNo4ihFzOl/7+vRmWH7TNtLj3yGN/vzJCdvHPj82bjFX//kvXzgtcd6/rw9q3TNmOEHqjWc6dtZKDU4NEQpDdJHmPV9lhvrPZ0mLxTDNoSb4v1J85nD4f16ceXRga+1Hc1qmbKukdlnKvYw3DCZ5Lx1IxqSQvEyutAHklKlFP/mvz7Jp59e5pe+72be9crwu3j3kRy+VDx5ZRfpipRS309y83Sa6bSDY2ogM6waOqqy67UWHuErMYd/mx8bQkprJKWi5IeW436zSoPyEr+dTfMn6RT18t4zYj0qErkyTtIOz6DjSRtk+PlXtvWqKqWoagvc7LqImaubfxy3s9SEhtvor5RuNDZAQCEIwjVO05mz8yz7a4zrdT7+xRd598cfxtI1/uTH7+Gx9Yd40+H7yF34Cpx6c9jv2Q+xHO/I3Eg6gD999g95ajl0mUzH+jsUJuOTvUceZQ7janFmvEt7itkLXlhkuHkAQR4VYwkL6Yf7Rj+lVBafpaFpjOf7kGLDJh8VBNttNGdmMjvsu8XqevR6XZL4PWemCKTis8+EJL2trF6LUnooFboznrLDtW+QfRfg3PR/B0Lj+FooSjy2/BwyCj3LDhkxlo6Z1IiRiFxRNb9LSrf8KhkZYCVCPpWJ5fGEYKsy3DHxMiOl3T8nphSMYt+NQkvswGJtSNCRVFbPjVXXLJpCAz9M31UIaka3x6MpNIQcQEqjMRZG/OqVUg0Dq9NTOjopDYRAeymRUkxspZBKdsjVemOdfBDg9jg8Xw1msjGKdY9G8ignXY969NkJNUYmNtjylItbrASp8PDj1phJzPQNstiNlnRDtcu+TvZdMpCc4kSjhi995rd6pzaWKqvR7/VWEDPJBHVloxohKfrIXR/hbcffxn989D/y6Quf7nsdbhAu1PnUXtvSifEk59dqHEkdpiVgdUg6sFKKJhJD6TimRi5hsRmEZGRzH2MCaq6Pr3uklII+accxU8eWgkbgdhQfKQcrpYncFLO+z0preIWwjU3ZZEyzuLRRQxO9EztnczEsQ2O5ZZN1wzVie1CDJ5s4cjSldDLtUHTD4eeXKj3uCa9BVRNYYu9zO1Erxe7WgZYf4AmFc5VryuHUYTQMnjaTyKUnKeo6hu90NtXtSJnhZt55HxYegZk7eH61wWTaZrWx1LHutnF8PMH59VqYFmkmdiilQIeUvqaxxVbqBnTtYHuaRkUmGRKT8tYVqtG9mDKvvn/4amDoGhrDezoHoebWiEtFoI1WKNTQhiulsoUtw+9rPxh2SBBkKyKll7/ODZ/9UebVJOm3/MLQ67jjcJa41bu4MpUOvxcvakdBaNSmXkGl6Q+17xr5o0z7AT6yZ9/dlcZZNKW4YcCsxluP3gvAUnV/hU8Av7bJlqaROSClXQhB/MSrANAWHmU8Pj7QvvvofJG/fWyBn77/JD/6uq4addfR8ED9yG4Lb3WVTV2n5We5aTqNpgmO5RPU3PDgW9rtSll4lL/I5PjrdBKv1t8+WPEbJKVkxQ+LpJuV3vu0qi6xZBis6zqNcg+lNOp7d2Vih1LquuF9sbVtP1raqlCyapwInJ6JtYOQdjLUNIFf709K2/dRXCU7+9rxidu4YBp8aOIpPvPMKo6p8xcffDXr3lmqXpX77SnwanCyt3V3O+Inv5v3bJURibN8fflhoDv6pRcm4hOs1lf3uqiEoJQ8zkkus9Xc2Q+9ICOidx1IaSHhgtX4AAAgAElEQVRp0ZJpDKXY6JMh02peiR67t3jeRi5y37SJ7c0zaVYrrc75/ckLoS15Ntt12tx2KMN0xuHTUQrv04tbpB1jaPFqENpjYZ6MCnJj/eaUJsP9c0GNwYk3MXcudO89sfI8nh6ebwfNKQVIOwYV5XRJ6TaltCIboVIa2XezUWhSsTI88PHlRUq3FRdjUiGM0YKOAGK+2Qkc2Y1GVF1VysTsYQs1hUVLE6FFt7WFq8cRevcDa2kCbQBhDCKlVBprLPVo/O75OzIIieS2mY+tAcR3IGSAz0tnTimALwycqD+iGTRRSrHeWGc88PD6BPTsF+0ZkYsNjVNalyD4stA3ebeNXMJi0Yvsl7V1ZlOzAyP/t8OLlFLzgHtK24e1mhvA5BlOlsLr6Rd2VI7CbpJO7wqeY2pskUBEFWJNaPzqa3+Vucwcf/ncX/a9Dk+Gh418j5S3E+MJ6m5APhHOJbu0+I2Bf1MzaCIF6NIK52JZOobmkJBqX4nA9VaAp/mkBtzzjqljSkFD+p3ClC9jfQ+nAKmxSWZ9n9Vg8DD27Sgqn5we4+JGvUM+d0PXBHOFBJcbNrl2+uF2Uhq0Ru5HHk/byCBFUiou9ThMBq0tGpqGre0ly47VJqW77buhUmpzdWuyoRnk7VnOWyba2rNhr0wQi5KtdyIbBTMU3Qp4TVj+Fhy6hxdWK5yaSHGlemUvKS0kuLBWDbW3XbNKAd5w6A1M2WPcX2ugT5+5qmu/nshEFfFydYlKpNonrGsLqdkPNCUIrnK8x3bUvApJJfFHKRhDZN8d/Pot6WEpBqYkO5ZBU5n4bgMWHoU/+UE2tRz/W+b/IF3of/jcD7LxcAbrC14B/pfnmM+F4TKz2cFKZCKdJ+eF3/VehcsSj3N3s0W8n2IDzKYPYUtY9/c/G9SvlyhrGpkB85avFnfecILzcorqiw8xGZ9kZcCs6W9eDPeBH7n32I5/H0tYzBUSe0hpq7pMVdNoBWOcmgyJ9InxJCu18AC+Wr7YfbAMCBYf45FYeEgvDyDHFb9JTMKaKpAKJMVa7wN0q7mAJwQbuo5X6aWUhiSxIZMkI1JaSFrU3fDzL28ju1+Z/xZSwFzs6vpJAdJ2EikE9QHhTW2rrGN0+yGPT93Npq5zv/El7j6a4y8++GqOFRJ8dv6zxIwYr95cAN2C428YfhEn38y7tyqY6Fj5LwIwuWuN3Y7x+DjNoEnF2xvO1Mic4pS2N4H3stYk7usUBvSIj4pcwqKsklFQUW9npOeF72FhQLr5WERY2zk07bCitoX3qUvh2WpuovveCCF465kpvvj8GnXX5+mFMmdmMtfk6muT0qfjSXShk+ojJLSdRps1F+58L4dKixhC5ysXz+JFc9WHJXGnYyZlGSMRFfa295RWVItMIIknw/chn46KqANmn7fxsiClepR+6WwrsMSUBG0EhSxSShOBTskt9uyLa/oNdKXwpdUz6MjUIvtupJQ29RSWHX5gMSMWktIBhNFX3Z8tNfeX2tk+BGrKwDENDKVGV0oDj0AIwhG0Lw14mNjR4bzphxH0nvSY8D38aySl05mwcrVUanIyES4+hlJUgom+ybtt5OIml1vbSGlylsXa4r6CgFzlR0rpwdp3NU3gmBoN14fJMxxbG5zAW4sSSVN9+piEEFRFEmNbT6OlW9yUv4mlPhs7gC/CjalXzHvbniqs0Ep3afXJgX9Te0HUo+S/dshURmqdxNZBqLk+rh6Q6jOLFUK7p6kENel17Lu+dEjY/Q+/2XSKgico09pfKrFSFJHkrCSXNmo9+0nbODGR5ELNIBvN8tth35UtHKXQr3L2HcBkygEEh6XBvLvX7laLNm9b33vIjjvhJujtSv5uuS4tAc4Ia8pM/CgLJoigRVHTkUGSsfheUjMWVXZLfg2WnwLpIWfu4txqlSMFQcWt9CClSbaafrg5Zw5DaacyfCh1iN8vvItTnkd+7q6rvvbrhXRkkduqrVKTLWLomNoI7SpXCYF2TfbdulshIeVoIYS0ldLBcFWblPY/3tiGTgMbsfgY/PE7UbEs7/V+keNzJ0a6ru0QQjCdcVjeakFygoVi+L0fppSOJW00LzwI7i5cXijNI80V7qs3YGyu73NoQmNamqxq1f3PBm0UKesa6SHKyNXgtacKPK5Ooi8+Es4qHUAGn7i0yi+n/o6C7BbgW0GLL175InceyfLo/M5z2MZWqFyNxcY7hYfjhQSXS+F7t7q1rSd3/Xmeo0UlumfLfYgHhHMkbamxToacDCj2a98KQpJS0TUaPeyIda+GoRRNFSNld5XSihvuaVvVbsHgyYWvAXDT5D19r6sfxqJ+vZrbn5QuRf21cbu77h3PhvfP5ta3+Ot3H+JoPoFUks9f/jyvm30dzrnPw5HX9G1j2YGZOxizs7zTLCA0j7iUpJL97eVtFXXPWBjAy9/ApChRLm57370mlwwY869Pa4Kpa7hWhrFAstGncOKLcA/cHci4HWOZ0HLeJrbtsMa2JffCSljszGd3qshvOTNJy5d89plVnlmuXFM/KYTp2WPOGC3pkbWzaKL3GmgZGinHCPe902/HjOc5rAy+tfYCrilJCh1zSPtj2jEpBzbxVii4debzSp8aHolA67Q2TWTC+6+yD4Hg5UFK7Ugp3TbfMy4Vmjla+i5AOhB40u1d0fFqOErhYfa075paeyRMC5plGloCOyKls8lZWkKg9enfU0ohaWGLJCAoy8HzI9two0O5JsJUQ1OFFeNRoIIo6OglZN/1hYkTEb2W3+o0rU/4Lt41BjjMZNqzShucjIY3F4KAJS/VN3m3jVzcYk1G1ap6SEp96feORd+FNik1D9i+C+Gs0robwNStxHyXQ/GJvgm87SCVzIBKZV1Pkmyt7Ijjn0nMsFxb3jG/qo2mF+BHc0F7Lfbt8IoVeRJbSuaHzFFtk1KDbiFqLG6RkCabwXAyWGv6NDVJWu+/ZsRMHVPqNFTQIZiecgYqpZahkY4i5/elkDfLbOoaOSvDxT4zSts4MZ7kfMUgLcN1b4dSqkLrt7iKUKE2JtLh9U4S45LcG5ZWiwLgHGPvBhqzo372XUU3t1kP1dUBpL8fjqaPUTI9WgJKuobrp3vad8ficSypUQqacCVU1pdTt1B3A8Zz4b22m5S2x8J0Enh7pA1X55+kqhxuOH3TVV/79UI62qfK9XWqyic54L49SOgIAjG6Ulp1Kx377mivr+MPeX1X+ZhSwxkwcsYxNRpYmJe/DFaCF9/255xrZXnFsYMhZlMZh+VyuEZcKUZ7/5Cgo7GERdML1Zjda8Unz4Uzdt84hJQCHDbGuWRLHr+wvzYR2SxS0zQyfax+o2A2G2M+djNxd51JI85ybbknSVZKoS49zAe8v4Q/egfU1mkFLR743AN8+LMfJld4kc2ay8WNrgqzERHco9sO+HPjCXw3/E6sbW/XWHiEbzjdNbDUpyULoKp8jMBgXaXJBbKvw6YhuutsubG36Fr3asSlpE6so5SOp2ya0YiyrW1kd379m2SCgFMn39j3uvphLBaeK+oD5pTOFy+jKUUi3S227AiPe+qvAHhq/SnWGmvcX7gD1p6Bk2/e30VoOpy4j/cvzyMQTPoBItFfURyPZoCvNvaSUi1K4PWWznb+TVVXOGeZpIKDV0nbkHaWfBCw2dzrjKw0PWTkchyolI6F58LNyDqeiZkcysU4u7jFVtOjFCnqqcROUvrKY2Pk4ib/+cEXcX15Tf2kbbT7SofZb/MJi42aC4YFt72LuVoJzVyipgVk9rE+p2MGm4FNIkq7bpPSduBiTOqds9F0KjzjVb3+Pd1tvCxIqemEBwvb76pPMaUQIwUdhV/0bHSO7pXI1XCrOFLhYfRVSsP45zDoqC7imFb4gU0lpnA10PsopV6gQHjE9Ax58xi+eannLKw9vxfdEJoIr8lSYVDOKAgihVW7SqvdPydCUhoezhtBozNjthAE16yUTmZshIDFcoNc4SYKfsCEHzDfSg5M3oXQyrVOdHivrXUOxfsZC+MRYCuFdcBKKYR9pY3Ivgtwwsz2TeBtRGQnm+wTiQ48EruXo63n4cn/p/Nv08lpAhX0DDYoNzw8ww1TTc29xGsybZOwdJ4rGRyWcKk2mNC1ezwNup91Nm5iS4eNfdjYK24NKSA14F5xTA1DajToklJXxgcqpQDJaMTAfnqJm9UlGppGysxRbniDldLxBCWVwADSemwHKfUjUsoICeRjcQtDE2RlmiUhd4xZgpAIAThmL1IaFhO8XS4Nr1WnIQTOCOTpZO4ESsC3LJtACJpBricpzcUtrMCiJAScfxBSMzxXi5I5E+FGOZvaa9+FbQm8jSJEwVFtGOvPcF4cYTZ3/e2x+0XbWlWuL1MRgqR+sAnd/SCUhkTtnQW5T9S9GgklkSNe736UUo8AXQm0Af2/jqlTVkn8+AS8///loWK4799z9GAOv1Nph6VyWNBZKDWwDY1CcvC9P5awWJUT5APJ4q717otXvkC6FeOw7/cdB9PGO46/iaKu86cP/6d9Xav0w+9zJt5/fR8F5tFXAjDRrNMMQvfSblwpNhhvRj2gxYs0/+Sd/PRnPsRXF7+KQKCs0Lmw3cK7Vguv94ZCV5E7XkigosCale3zRRce4RuJZCdcrdQnUdcLPFyh0KVJzRgL7ZytvQqkH0jq21qxqq295Kru14krRUs4nVaZ8ZRN3Q+dRtstjMvuBW52XewjV+/CyMfD9bcZ1Po+ZmnzAoUgwMh3SelMYgZbt7mQPwLf+D34h4/yuc/9AgaC13/jz8MH9RkF0xMn38yRrRXek76RNzQaMGDe6kQ8bNXplcBrt9sj1p7tXv/aWeqaRpxrs9QPgojnQqW0x72xslGiaPoYaAODf9JjpzCUYnPbSLEzM2nOLm7x0IsbGHoURrdLRTZ0jTffNMkzkc33WpVSgEPJ/ZHSsYTFZi3c28s3/o/MeS6aVWRDE2T14WfOtGOy6dskohDK9hmsfQ6xA7OTwTCZzEePGTxTF142pDQ8eOh+qzNL0VEKRtn4dBNpxBiLLHHrPfpKm36DmJK49J5Tauk2vhAEXqiUVkUc3aiRtbMkzWS4+PUYohw+d4DQPEzN5ljyJvTYPCtbw5WeVkRKdayOUtoMRiOlfpuUvoTsu76wiEWKXMtv7SClwVXMRewF29ApJG2WSk3In+DdWxW+t1rjYjMxtKd0LGGxqdqkdL1DSncfOnrhepPSuhtA/hRoJicC+ibwNqM487FM/0PL+RPv4xF1Gvmpj0I5JF+zif5/a7nhUdc9svR+/4QQnJhIcn69xlEtzqUBFiXoLoi61n2vcnELLYizqRG6Fgag7YhIDVAWHVNHUzoNJE0/DBKqEeuM2OmHlAo3s/0UIorRpqYRko6jA0lpki3Cn+eMWCf5D8BT3shroKYJxlM2jsyjhODy5s7QlGI1LNTFe/ScxKPqvbdrffObDRqaIDaCQnamEFahH4nCG1yV74R1bUcubqIFVth3euGLMHsXL6xGm6ARHlTbG3Ybh3IxDE30TeBFKSYa5ygmTx744PZrQUcpbWxS1TRSB5ScOgwdUrifOcQ9UPPqJKRCjqjs6krHG6KUekgMBn9WtqHxr72f4vw7Pwn5EzxycZOJlH1NISPbMZWJsbrVQkrFQqnBbC429P7JxS0WVIFZz2Nh2xirilvh+fITvLIu8TJzMKA4CPCWO97HLa0WX2l8BtcfXpDzo97+bHJqyCOvDnO3vApX6cQ2QgLSK4H30fkiJ8UigZmi+S/+gAfUMg8tfZ1fedUvciJ7gqXmC6Qdg0cudYnmakQebpvufpdDZ41BRmqsbXO3+Ve+wSOOxaumw+Clcp9WjvbIDk1aTE1OkZWSol/f87jNSoOK0V3bav5eIlPzGsSlQliJzmdeSNpUZEgStqJAwFbQYkWrcNS1rjrkCMKeUoDmACfQRm2R8SDAnuiq67qmczR9lPO5GWhVUN/6r3yuepFXuJLM1iLc+H0wPjiBegdO3A/AxxYu8NHNEiT6k9LxWHjv9ipUp6eOUVM2dpQyDXBu42kA4sbgQsy1wEyOhUqpV9mj5m+uzPOsZXHMLAxMjRe5o+SCgOK2e/zm6QwXNmr809Mr2Hr4GSVTe/tt33om/N7FTJ3jhWu3Kbf7SgfNGQUYS9hsVMP14beftdFbY0ih+JZtkTWHF2DTMZOKimEpMITeUUo7pFR29/p2EbUu936nduNlQkrDDVm5dZJWEkcz0QDdHLHHxk4zHoQEp924vB1Nv46jFC5GT/uuFR28mn4TWltUVBxh1BhzxrB1G1f0V0pbngTNw9IdbsydQegtnlwdnqTneuFNrwkTS9cwFLTUaAeHIFJGXlKkVDOJtXtKg2bnc8sHAcE+qj7DMJONsVhuQP4kHyxv8W5XY70l9qGUWtSxCXQHatFICgQLfZL9On+P9AlQmBJs6+CteTHLoO4FoZI2fpoT9S186fP40l6bbDOqbg1SSn/09af4qPsT+J4Lf/+vQSmmo6pgL9tqqeZS0yU5rf9nM1dI8OJqlSNOgSt4A/twa5G6ZWjdxTSXMPG8FCVNI9ga/H63x2qkBizGMVNHkwZNQgt/XElqKtaTIG2HaeSxpdqXUroZ9UN5KtxQBtl358YTlFU0OF5YFFvdA5KPhy1l3yThYZhI2QTRaITd/bzFevg6CWdv5TgVtVJ4u9Y3363REILYCCT5zPhJUPBoREoTRrbnAT8TtyCIU9I18BthyNFKlfGUzWZrmaSZJL0rzMXQNY6MxXfOKv3kz8Df/AR88mdw/+HnSKsKcuI7J+QIwNRMEsKgLBRVTSO5j0PEQUATGoEQA+dsD0LNrxOXEjWqUip0/CG1AS9K4R4E29R5Uc1StUPl5hsXi9xzLHdghYfpjIMbSDbrLgv7mFEKodV/wwiD0Ra3FbC+svAVJAHvqi8gbhhuqxTpaf6nmkbVaPKfH/mLgY+VUqFk1J6R6J+aOgpefXKK82qG1Fq4/vfqK31svsRpfQF34jQ/ffnveCjm8Cvrm7zzkb/izNhNPL3xNHceze5QSktBeLB9xeFuOFAmZlJIWqSUzWp7hrTX4LniC1RRfPeRUPkreztdEG1Uo/VfSJsbpjLEApOSbO0lKWsLLBs6qSjRvyr3ktx60CSuJIbd/U6Op2y2ZJaYlJSjPv0Xii8QCJjQRlMB23OJW6r/PPqiu8m4H5Ce3hmONZeZ44Jsws/Pc+EnPsdFQ+P+1/8iPPAEvOtPB4+C2Y3UFEzeCusRmRyglDqGQ8bO8KkLn+IPn/5DHl99vBMamHQsXlSzpCrdbIt2S1Hcvn6tE1Yyz5gMaEqvU9xuo7JyiWcsk9OpY4OfJHOIMSl3jBE6M5NGKfj7JxZIxz1sqTB7vDevO1UgbuncOJ06kHT3Dindh313s+ZSqrv84Vcv0kq/EYCappHdR5J7yjGoKQcBxI1Yl5RGxXFbdQv8pm5iS6gNuFfbeFmQUitSSnHrpKwU8ShEQYxYjRVOhslo0+1p3/UaxKTCVb3tu1b0us2gCc0ttlQcpVfIx/I4hoMnFLrqbUJqegFCuNiazZ2T4dyqx1aeGHrN23tKTUPDUAK3Ry/ffuBHpPSlFHQUCLOjlDb9JuuNdUxhkJYKOUJf3W7MZBwWSw3IHQOhIWN5lIoOwgOQi5uAoGXloL6BpVuMx8e5Uh2smrVDqnSlYfdIX71WxE09DDoCmLyFExuhOvSjf/ZJWv5O8teuxCYGpDMeKyS47fa7+DX/h+HFz8E3f5fpRH9SWq2U2TQEuQGL34nxJIvlJrPJw3hCsFTs31dajwiZqXcrjbm4Rc1NI4WgvNnbmtz5fb9NSvtXKmOWjqYMAgFbjc1IKR3cUwrg2QVmfJ+FfSilm9WwR2mrFdoIj4z1J6Vxy+gEs+WE3unlAPCVHymlo62BE2mHrUb4+c3vmlVaaYSbTiq+t8cmZlgIpTozmTvX02rQEBqxEVwLCSuG8HM8FpHSTJ8KcC5uIv0Epfbs6Nm7eX61yqmJJAvVBWaTsz1Jx/FCIiSlU7fAqbdAswzzD8HZT6A/9gc0lUnq9Hdd9XVfb2R0my1No6JpJPukLB40NDQCgBFbQ2p+g4RUI5NSXel4Q1RQH4U+5GjT7jdtegHL5SYLpQZ3H5B1F8KxSkDnuferwFZjM8z4PkvN7qzSz1/+PI5yuMetY9zwln09zxvG7+R0U/Lnz/8+3gDHVM310SI7ambIXMKrRS5hsRY/wZFI9e2nlJ7Ql3gg7vLw0sP8yr3/jne+8VfhhX/izJUn2GxucuNMwPMrVcoND7wGJRHOoz6U3enUOF5I4PgxVoUE34WlJ/m6ExaNTyRegaGg1EP9hK5TxhAxprMOum/jo/ZYjitrV1g0DE45swgFNfZaZxtBC0cKkrHu2ptP2FSIkZKSragH9LHLYcjRZOr2fb2fu9Elpf1dQCVZJRsIcrsSpY9njrNQXaAVtPjs/GcBuO/wfSNdBwAn3xT+VzM6uSz98N6b3kvDb/Ab3/wN3veP7+M1f/Ya3vXJd/HQ0kPM60fI1bp79YvVBSZ8HytxaMAzXhucdKHjjNxs7OwjXi4+y5auc9vUbYOfRDcZE+aOUMWbowReL1DYlkdC0ZPsO6bOr/73t/DAm05d2x8SoU1K+42DaWMsGZLS//KlC9TcgDe/9ac6P8v1KDjvRtoxqRCuawnd7pDSdnHcZufZJSF16mJ4MfNlQUrtWFiREn6DlJnqJDxqI/RTAQgnzTQtBFpPUtoMmsSU6mvftaMNt+WHPaVl5RCICmPOGI7u4GoKo499t+VL0FxsI8btkydRgcPzpaeHXrPXti8KC1vXMKXAHVEpbdt39RFCSf65EGgW8TYpDUJSmrfSCEBdo30XwgTepXITpVuQOYQXNb3vx74LUDNzEI1WmU3ODlXNmlG111DadbENxi2dWiu6PybPcLy8BAqaYnHPsHJXRqR0iBrzoTee5Pfd+7mYfTX80y/hlBfIO/me9t3m1hqbuk5hgMWkHXaUdMJ+mPnFr/d9bC3aTEyjezjPxS0qXliZ3OiTLNxGI1KD03b/oIGYqSNk+HlvNtaJKUmV2MCUTwAZy3PI91noNfNzF4pRAMRKI8t0xhk41gIgm0rQFDGyaLuU0iDqKR2tIDORsrlQyzMWBFwqd+f+SSU5uxkWyZI97H66HrYO+LtIi+82aGqCuDnad9FU09QjsjnWZ8PMxS3cIE1J1wGBmr6DcysVTk0kWawu7gk5aqNNSqURhx/+K/jQV+EjT8LPnud/v+NBbgv+iDN33jvSdV9PZIwEZV2nqglSQ+L7DwoaGp4QMEJriFKKut8Me5BGVPCFMPahlO6DlEbf2ZYv+WZkDb3n6MGlz05nwu/dhfUa61V3X0opQDNxiBk/wFcBa401fOnz5YUvc6YZJ8CEo6/d1/PYR1/BR0rr1OU6nzj3ib6PKzc8hB6eHdJDyMQosKfPcKO3iia0PaS06QUsLC5y3qrzkF/i5175c7zz1Dvhng/Am36ZWy6E630qExbqHpsvRjNKNeJqrx16rpAkcBOs6jpUVzohR8dTh/n4g2s4gUYp6E3g2gdqUySZTDtofvh5FXf1GTY3F1gyDA6nDpNUGjWx9/nqMsxKaM8ohVAFz8ZtUlKwFb3WE/NfJh0E5GdGW1vaI6Baovd30Qs8KsLHDmJYu/aRucwcUkkubV3ic/Of49bCrUxei1LeDkaK54eqrP/q9n/Fp3/w03z+hz7Pb973m/zLW/4l5VaZj33xY1xwZsj46xAVPs+11jniKhKxgw97bCOTzpDxQ0V8tzNyoRqqv7fOvGro84wZCTa2WamnM043CNNwSQ0opv3AXYd44+m9o/FGwbHMMQzN6LvftZFPWPhS8V++fJ633TLFbcdPMC0GF363Ix0zqKqIlGpWJ2yybd812XlejCuTuhjOSV4WpNQyTZrKRHiN0L7bJqXmiOEPTpqcaGKJdE/7bsNvRum7vZVSO9pwW60tkD7FIIbPVkhKDQcf2ZeUNr2wp9TRHQpJh6BxhPnaM0MvuW3f1TUb0xDoSoxs3/Wj/jvt2zBi4KAghUlim1K60digEKkH6gD6rWayDnU3CKu1r32AlRveAzDUvpt2TDQBFS0LUUDDbHL4rNK2UqoNsaGNipil04gCtM7KI8SUIqkyaPYKD724855vySamUkMjwk9PpXjLzVP8eOn9KM2AT3yI2eRMz7+1WV6iqGmMJ/pbgk9MhIuaZ0RjYdae6vvYeqQS2mb3cJ6Nm5T98Pk3e6SqbkcriIIIBqjBjqlDREo3mpvElMI3EkOLBioxzqzvc2Uf6bvFqAh2qZQaaN1to5C0qYoEuUDt7CkVwchBRxAqPc830hz1PC7Vw8Pkcm2ZD37y3fxNcIUbKkkmx3oPMzcVe5RS6TZoCEF8RJtpQnQ32EKsdwU4EzdpBhmqmoY3fpqlpknNDTg+EWOhusBMn+Hnx8cTtHzJ0tZea9GDz6/y6rkCsSEW7X8OpK00ZU2jqmk9rdTXA5rQCQQjkdJW0CJAXptSik4gBEHQ3wXkCYUxZMa2HSmlLS/gmxeLxEy9o2wcBNqktG07HTYOpg0rmafgh2eKxeoij60+xpa7xVsqa5yL3wHWPvey2bt5baNJvJHnPz3+233V0q2Gj9LC+z4zoCA3Kg7fdA86kBLJPfbdpxbKHFNXeDZqT3nrsbd2f3jvT3PaGsNA0NAuoQl49FIRv7LChq6T0vc6A+bGE7RaKTZ1DW9rEf/KN3nUcbhz8tV87tlVnMCgpHorNZVo/zCNFFNphyAIC6K7E3grpUtUdI2j+ROklUVV2/u+1qWPrTSS9k4HTSFpk5Aa5Sgk7/mtc5xxXTJzVz8OBrpFYhevZ/BYO1fDUHs/13YC70OLD/GtjW9x/5H7R7qGDg6/Cqwk9HDP9EMhVuC+I/fxwF0P8Jv3/yYVr8J/G6EbwhoAACAASURBVIsKF2vPIZXkfFBjwjVJOdfvLJpPOZhBuB7tPu8vBQvoSnEqci0OwoyTZwW/k8shhODW2QyTaZumckl+m5yHY84Yn3jHJ3j73NsHPy4STJqe5KcjlXYu2tOz2eE9vGnHpBYppXFhdPqyS80SjlQIY+d3NIZNVZNDQ/JeFqRU00Q4c8xv8CM3/wjvz4Q30KhKKXaatGhgku4ZdNQImsSk7NtT2u6bcqMq21pg4VPvkFIlQPapbrV8GabvGg6GrmEHxyn6851KXj+4frun1MbSdXQlcNVo8+SC6Ev1UiKlgWaSiK67rZQWjOgAPKI6sx0z2fZYmCa84se4NPv9AENHwmha2HdaEpkdpHSlvtIzVKiNdp+Foa7PVzRhGdRdn+Vyk488GF7HXckcscQ6D5/fuTB7uDhyf2rth+87yQvNDJ89/m/g8sNMN2s9SWmldgUlBJPp/jPNjuUTCAGXmseIS8l86ULfx7ZJqbVNMRpLWFTapHRIsJSM+qpSA/owYpaOUuF3u+iWcWRISodBTxY45PlU/foOi20vbLbKGEpxpcjA5N02xpM2ZRJkAp9m0OzOTyUYPeyNUCmtEONwAJdam3zy/Cf5gb97J09unOV/Lbk8f+UjJOzem6ylFN6ugpjfCkfCJPZ7qN6FrBnZt6TJRLL/QHDXDz//0sytvLAabpJPVP+Yht/gNTOv6fl7nQTetZ1r7PxGnfNrNe47fbCppAeFjJNjQ9doaBrJPkT9oKGj4SNGsu+297CElDDC/Fzo5hz4fRQvAE+E5HUQ2kpp05M8cqnI7YczPQvMoyKftNE10SGlh3L7u+9zSRsjuocXqgs8ePlBTM3gHfVFFgv7U0kBmLkDELxus8BGc4W/Pfe3PR9WbngEegtNde2gB4npU2GqbNw1WNk1B/LRS0VOaQs8a1mM22M7R27oBtZt/wOnWi2e23iCm6bTPDJfZHXxMhu6xliP2dbHCwmaXhjOtlE8xzMrj1DTBKZ3iqYnMQOLLXofimtRonjMzDKRtvGj8S3FXaS0VAutyIcLN5AmxpauUHLnOauufEypk9xFpMLwOJ0t2cINXC4HJWabJoenR+sptTQLXQkafYL8VqP329T3KnBH00cRCP7o7B8BXDspNSy4830wN1qbw6ncKX7s1h/jgnWOL8ccWHuGhcoCTRTZVnwPwT9I5BMWuh9+P3c7I5dFkcO+wNmH4+hw5ji+ECyvd9ODf/n7z/Dx991DVbokR5zNPAqOpo8OnVvdJqVvPTPZmat6fCK0kmfboX8DkIlts+8KvaOUFltFsjIg2HU2iok4ZV0Dt3dfdxsvC1IK0MJG8xu8dva13GeFb6g+MilNkaSOLtN97LutKOhosH3Xj/zlyyo80Odj+U46sCdUzwTDlh8gNLfTe5XTTwKKp9cHW3jdiMTomo1laOhKwx1xyLn/Egw6CjSrS0qjntJ8O+DIOkhSGh76S43wtYYppRD21myqNNTXQSlmk7NIJVmu7u2xaaM9hmPY4WpUxCydatPnw3/2KFe8FH6swOkgINBXeWR+eUdfaQsPR+2PlN5+OMvrTxX42As3ImfuZqa8wlJtCbmrQFKrhyRxvEcaXRuOqXMoF+NcSXJEalys93+/qq0tDKWw7O1KqYUKQgKzWd9bXGpDKQVqH6TU1JFBuKYU3QoxpZDW8IOclQnDS4ChvcRFr0JOCTaq3sDk3TYKSYuijJPzQgWg3CrjSx8p1DX2lNqA4JCIsSZb/PyXfp4TeoK/vrLI8ZM/S4VkX1JqIPB3De7wop6txD7er16YdMI+GRkkyPUYBwNhT6mKxu+U7n4/L6xUMNKP85nFv+a9N72XNxx6Q8/fm4sSDy9s7CSlDz4fWqkPylZ10MjECywZ4WeQGjDY/SBxLUpp+9CSUAptRPuuHu1JXp/eQGiT0sF7V9sWv1lzObu0dWCjYNrQNcFkyuZsNOphv/bdfMKi4Yaf5WJ1kS9c+QJ32TMklKJ25Cp6/pwMonCK9+hb6O4xfufJ3+m4b7Zjq+nh6R4poaOJ63AczBzB1WKkGx5Lu+y7j84XuSu2yrO2zen8zXt/9/Z3c0urxdn1b3HXkSyPz5dYWZpnQ9eZyuwtZs6NJ6lG4WyrK0/wdS88u71waQJDE2jSoqQJaO0dS1GJznlxZ4zJtEMjGt/S7vFvo+yG/z+dOkRaT7KpazTqO/tOawRoUt9h34WQlFrSoKx8Xii+gC8g5k6QGVLY7gchBDYmVU0Dd69osRalplvW4T0/cwyHmeQMq/VVjmeOM5cZPPt2X3jbv4fv+bWRf/3Hb/1xUtoMv1LIU1t5uhNy5LQye97Lg0Q+aaOCkJTuVsavmC2OBfsroB2eCPtO5y9/tfNvJyeS3H44G82S/vaM7dovbpnNcNeRLB99y+nOv81lw/tg0PibNtKO2bXvonWDjhqb5AJJsMsVFdeTYd5Dc3Bh/uVDSoWNFvm5Az/cMHVrVPtuhgQ1CFJ9lNKIlPYJOnIi23ArsvWtR+f5tlIK0BRaz+pWy+sqpQAzsVBOf3L9yT2P3Q6vrazpDqYu0K6JlEbv30tIKVW6RSpK/Kx7dYqtIoWoAHAg9t3IjrUUDUQvt0npPjaUXNxiVabAb4Jb7Xj9F2r9+0o7pFRdn88gbunU3IBHLhX5P3/wNozpW7inUkIR4FsXeHy+awV1hY9zFTbiD993kvWaxwvacWaq63jS21PcqbnhgT+fPjrwueYKyTCB10gw7/WO8weotqrEpEKPdS14IUmJoSnYaPUehA7gBhJdq+FIiTVAcYqZXaVUoohJidqHHdXJdknpsNTlot8gGx2oj+3DvptP2hSDOBk3vC+LzWLn3jGlAG20JX4iFd7vN5IjpgQP3PQj/MG5pzk8992czYSH437Va1OFSu12tMcKJezRAnkOJY4BoPxEzxmlQGjxkuF7VrIcHl16ltj033DXxF38zD0/0/e5J9M2MVPfo5R+/tlVjuXjHSX1Ow2Z+CR+tMd8u4KOdKETMFpPadvelZBy5F7nNin1vf5jMFwBxhBS2g6Pe/j8BoFU3HPs4PpJ25jKOARSYWiiE3w0DLmExXIwTj6QfHXxq1zausRrq00uy3HSs1eZQDp7NzfLc1SW72O5vszfvrBXLS03PJp6QEZcJxVH03DHTnPYb7JUXe6k2SqleHS+xGl7iQumwU35Hn/b5BnO2BNUpMux6QY1N+D5i+cp6TrHCnv3jSNjcapB2Oe+Ov/lsJ80NsVDz7t8323TiCBGuc+huFwP96dEbJyxuEVDhoWB4q71uhKNz5lJzJA1s6zrGlsbXQVYKkkDFZLSHvZd4VtUkDy9FPbLWtq1pcraWNQ0Ddy9RHt1M+yHjKVO7vkZdC289x++RpX0gGDpFq/PfYgVXec31x7iXDGaOuEWrispLSQtqipFSu5USi+XVygZcFTbX8HqyKHQyXC5R5tRVUmS36axXftFIWnzNx96Lacmu3vHvTP3cs/kPdyYGz4SKOkYXfsugprfTt/dJBcEyF17UtzIsKVpNKv9BQJ4mZFSPQqHUe0D/TXYdx3VQvkJNpube2LBm4FLXIYjYawepLRNKFsRGd2KzvN5J99RUZtCQA8LUt1zEVrQCQSZTuUR/jhPrA1O4HXbwTiGg2VoESkdbcC5H5E7bUSV5Z8DgWYRx0MgOspcIQpq0uxrXwwKSRtTFyxGA9HL9fA92pdSGjdZ8iOFqLbObKQODiIo11spbY8x+cBrj/H9t8/A5C3csfoihjAwEi/y0DYLb0sE2EMOedvxquNj3HM0xz8upZhphJvl7mCnhheSxHxmsE3kxHiSC+s1jsQmWBABXp9RFJVWhYSSGE53IQzJi0Za6WwOsIzUWwG6XiMlJdiD03cD2T1cxpSCfZCBRG6iS0qHBFxtyhYpwu/d/pTS0L6bboZ/X7FV7Fi/zWtY3kOlFI5qM3ytpPix5x9GR8Dbf51vXCoylXYoJHuvD4YS+LsKYm6UbhwbVSlNjSH9JCpIkOuTeK1rgoQRKuVXKld4uPYfMITDb3zXbwy0MgkhorCj7j3S9AIeOr/xHauSAmS2qaOpfUT4HwR0YURBR1c/EqZdSY9LuefAsl+0W0o8r/doAaUUnhAd8toPbaX0ofMbCAF3HWDIURvTmXAPn8o4+x71MJawuKLGmfU8Hl19FIA3Lz/DF+RtzA5I4u6J2buJtTaYbhQoGDfwZ8/+2Z6HbNVdGpokcwAJ9f0QP3wrp+UWnmp10myvFBusVVp44gq+gNNjp3v+7i2nvheAmHwEgLVS6DSZ6BGyZhkak+3E9615HnVsxu3bcQPJj9x7DBEkKOk6qrF3tmixXsSSimQ6j6YJlDNFUkqKuyzHFVHBUKHrLesUaGka65vdALv22isCc0/Rbjxlg2/TEPDE5S+SDgJE9u7hb+AA2JpNTQiC5l5SulS6iKEUibEeKjR01NE3HXnTNV3DQeLG3G28opziz1WJT53/JDOeT0kWrmtPadox2SJJLlA7lNKvXXkMgOOx/SX/jo/fjKMU87tDFWVAVePbNrbrWjCbnOX3v+f3ye4jo0DXBLbt4AsrdHK003ebRTJShj3G25C0cpG1frBb7GVDSl1hY0ZKqfI8AiUwjRFv5GjMguZaeNLbEQseyIBWNG7BxcTo1VPaDjqK7DBVPTyg5Z18x5bb7JNgWGlFFqeIlE6kbLzaYZ5cfRK11F8tbZNSXXOw9GsjpcFLUCmVmoWOwjGcjkUyHxEpMWIf23ZommCqPRaGsMIcM/VOYMYg5OIWV9xoQaqtMxmfRBf6QILSJaXX5zP4nlum+NAbT/ALb48qtZO3EPea3JY9RTJ7cUdfaUsonKtIYhZC8OH7TvJ4Y5yZyAa8VNtpg2qo8DuVjw0ORpgbT9DwAsZjRwiEYHHtbM/H1bw6cakw492FsB0ylcJiM+g/Hysci9AgJdWehXQ7bEPD32blcZRCOMNJVi6ZIAgSJNTgzxxgkwAnGjq9v6Aji7JKkIsOJeVWuXPvDJvVOAj5RNgTty7GEKV5OPcZeNMvEaQP8dUXN3jdqULfgCdTiT1KqRuEG1ZsxITPXNzEXXsLbvHVfZVS6KYG/vo3fx1PrPHq5P/MeHx4T+jx8WgsTISvXdik6Une+B3aTwo701KTI5L9q4UmjJFHwrRnACaUQo2omBvROtTPvtvu0x+WHN8mpZWmz+nJFOnrcOhtq6P7te4CjMUtFlQ4QgrgdGKWw26NB+UdV/U84QuH/Zw/NLNGtTTHhfKFTs95G/V6jS1dkN1Hb/yo0CZu5nhUlLpSCds2Hp0vEqfJPOE+cONYb2Vm7q4fw5aKKwv/jcm0jWWEDp6xPo6WE4VJDAUPxmM0NI21jTkO5WLceTiLqWXwhKBRX93ze6VGiaSSOMlw/RDJCXJBwEZ9bcfjynqLMWWhCY18PCTGK8WLnZ+373EhTZK77btJGyXDz/Chzae52XVhaniAziA4WpyaptHc2HvQX64sUQgCYhO9Q2u+/8T38/6b38+ZwnfODOaxhMWxtZuZDALObV3ghOexqrLXVSnVNEHLTFMIvB1BR08tfAOAU7n9qdlC0ziMxeXGzvtLNorUhCB5HdKt/7mRdgyaWpyElNS9OkopSu4WuaAHKXXCs95qaXC+x8uHlGoORnTwlH4LD6MnYdwXopvHaIUbV1vSdwOXX/jyLwBw1PP6pu+2Vc62UtrQww1mLDbWVUo10dO+W2v33UR9kOMpG79+hM3WJou/92Zo9VZ83Oi5LCOGZWgIqTPaePOuUvpSIqUqaiJ3dJsr0TzIsehQrh9ATylEY2FK4T1Wqnv7UkkhtGRdbkYEo76OoRlMJaYG9hd2SOl1GstzciLFz37Pjd37dzLcmF7lTOLp8zx6ZYmmFyCloqldHSkFeOPpcYKxk53D1W4y1qSKpYaPmTkRjYVxzHAszKWlb/R8XDj/UGJuU0rbIVOOirMpZM++G4C6GyC05lClVAiBEF2iGJcKbR8bTTZusqlSTEpjcE+pUhSFwpAxxlN2357N7SikbLZUnHy0LhSbxc44IfMaVHZdExSSFksyUpBm7oRXfpCnF8uU6h6vP9W/mBD2lO5USr1o4H1sQLrxIOTiFl7plQTVm/sqpQBjTqiUVtwKzdW38ZrZ/SVbHs8nuFxs4PrhdX/+2VVsQ+PVc9+eXs1RkNkW6vXtIqWGZuALQeCNrpQagY5ujRp0FH72nt/bvtuKvuPGEDuqrolOSOHd10ElhW4C735DjiCcHXhFjXfWzTeKJL4wOGvfvq/1YAcmbwHd4rvTlymWCigU50s75zV71U3Kmk7metq/J29mKgiLVF++EKpIj82XuNlc5lnLIq5ZndmKu2FmZrlRi/F06XnuOZJBN8LiW75H0BHAXCFF2tf4ZjTT+OyFAt972zRCCBwrJLLlyt5sgkqrQlJKkpmx6HUnyAVyx5itWr3BpqHIi/C7Np4Jr3ltq7u3tfumkdYedW88ZRNEPe9rQYPZpsnU5DWMYQFMZ5wtTYeze8f+rLc2yfiCQrr3mnvj2I189BUfvT69xCMiF7e4II/yS+uhYnnKdVlTmesadATgWVnygc/mNvvui6WzHPE8xid625974Yg9xnzQgG3hV/XKEkoIUgc8B/g7AemYSV3ESQQBgQqo+3Uqfo2sDBDOzjUlkwzv9fUe37/t+M65G68RnuZgyLZ91+1rrd0XIqXUbIab1kZzgy13i5/8zE/yqQuf4oGp7+LttTqu6v0a8aiX1Y0sOy3DxRQWcSPe6Slt9bFAVd3wb0hF6t54yubeaGF80tJ7NukDuG11JCKlmtJxR+TkXkcp/c5qzB4EqXdJaXseWi5QtJSBNepooF2YyTgsbuspHZa820Z2h323O6t00FiYVnssD98mC/X4adAMXuGDQhFYL/LYfIm669PQwNGu7hAphGDqyCl0ZZAVFku7AiPqokX2/2fvzYNky+76zs+5+725Z21v79dv69fqVrekBkktCaGGEWBLDXgwaMxuj/+YsGezPYGZwRPYGDssj8HhbTyAZ8JETHgYjzFhFjP2GNsYAUKAQI16V6u73+u31b7kepdz5o9zb1ZmVWZWLvVq6/pGdES/yrWy8p5zvr/v9/f9yb1nsGZjYbbQvdW3BwR+NZMWgVK4ud4NuBI4WEoHUjBgMay3Y6TRTknpcNIkzO3Dv6PA8fYueORdixVKnInVUMt22FihbhjIKBipnxS203eL6Sa43l7vfHf26qvbCwtFjxflZXBL8PzfB8PkN17X/SAfuTqElCqDeIdLI0pdLJMqpd3q6DCltOIHmLLK18w+R7T6Ma7Pj3bYfnQ2RyIVt9f0ofLXX1viI1dn9pwTe5joVkoPzL5rWCQC4ilIqZIu7oR7s2VkpLS/8yFM+1atEUL6MpfLw+gnBW3bhdHHwYBWSt9Rc1yKNCl9buk2r7lPUqlMEMRkubDwJNei1xChtrW+tvZaz12S+iqbhkHpYao48+9hIXXM/PbbmpR+8dYaz1VXecW1eax0ZSgxemLuKV42Fd+S/wrK1N+hmQHBXlfmcvixjRKC86JMHOV4/imdbptztethfcdoGtD9znkpKZb18+bKZ6gmCWtdvZqri+9wzzKZtfV9zlYuA7DW3H6+TClV0u07EiZKuvaP1hyXqtMp1IFTZFH4eK//Muzos15JGgSxw2zh+LRhVXMOr6kLfLzZ4u8lVb5vc4tFKg/VvgugvDIzScJql1J6u3WLm+2Q8pnLIz/PxeJF3jEN5Nr2pIBaes7LDQlRPK7IxsIEaY5PJj5Ukt5WKoBq2ra2tsN9sBMnipTaUh/GVBwRY2JbE/56qbXITx1KLy6/yA/86g/wxcUv8jc/9jf5s9X3I4BwgBobdBFPhSA2WxSdCkKIHvuu6rOxZpW2QtoHed5Y5yfkv8STihdcBwZUiDNSatu+Vr+U1VFqx0UYp0rpMeopJZ2h6RoOSTqOohzFtHBw7f35mp8r+9zfaJFIxXozojiiUloNHFZIN/2usTCj2Hf3qvjvGywXZm/w9NoDHNPFzr3B57+6QqO2SUMY+Ob4avPVhRJvyQXOKKMn1EkpRcOMKI4Q4jSXdym4Fm82zmIrxeKAxOKmDPGkwvd7yVwl5yCTIqvZQPU+aIQJ0gw1Kd1DcTKMLiVWWSOpF0IIamaJ81HI3drdXUnEGVY33tLvp+2P1E8KaU+pymEBRTvfE3TkTJmePV9w+Y3oMfjLb8FZnSz4m19Z5uaZgu6PGgATg0js6ClNC4bBhIpMuUsdreQGf28qgUOw+MN8tPjfAYLrC6MpiI/ObY+FeWu5zpvL9SPdTwq9cyUPSik1DYsYQRQOtsMPQkZKY+njTkj2zT16SqP0NcwRxi9kY2H2O3k3Q0ZKL4xhu63kHFYp8Mlmwv/qXuOJ+6/wOfU+LoxBbHtw/hnsB1/i2UtXQdm8noXHpIiaq2yZBqWHeWDOzTHnljEUvPjgFs0w4aW7m7wv94BXHYeb6RiKQXjy6h+jaRg82v4VlKPPJoOU0kdnc7ix/tzt8AqXZwKeSOfPlvKamK/3SWKvx03yUlGq6OedLRfIJQarXTbxtcU3WTJN5lPb7iMLWkFbb28TmXqaXSCl2zd9t51sr3+15pWRWjSGoeDk2DRszKgGr/7rnttWRIwR55jLHx9xoZLT9vXY9PmGd77MbCJZUg83fReAoEI1SdgIt4hkxEZ7g1W1yeNhhF/tr+L3w8WZ9xAagsV3Pt/5Wa2u7bz5A0pIP0gUfYsaPrmUM2RF97KUGH5voWu2pEnpZnt3T3c3TgwpjU0PR6UbldTWWmvEcIFdSKuG5bQt6id+/ye4V7/HP/7P/jHPX32+o3AOGgkT2NukNLbzCKtO2dUbX3fQURT2CzrSv0PeCUBKbv7OXyYg5rI5ywuuCwM24446YgU4poFQJrEQAw/AwxAnx4+UZsPY/fQ9B1aAF4c0cSdXzHfgbNknlorlWpvNZkR5RFJaDhxauCRW0ENKl5vLnWCEndi27x7g32DhCZwHL/KB+fcTlN7it7+6Qn1rjboh8CfoObo+n+er6ixn260epbQZJWyZkpLY+6AlhODKfJ7XV0PmEsXSgAWtqSIcaewiiZXAJoqLuu9mwFiYejsmNiKtNg6x7wKIrs/BkFYnMGov1O0Kl9pNQhn2TfQGWNvQgRmbzfzISqnvmLTTIdUVO8dGe6PTNzatUjpX8FjcbHUSfJthwu+9tTbUugs6YGmnUpqka3NWlBsXmTqad62hfdzlwGGzYfDGUp1KYDMzRFXtxpU0YfetlTr/8VV9iHjuqJPSLvvuQSmltmETC4jC8ZXSrOAay2DiNdlK1/m97Lv2CC4f1zKZL7iTE7498N7zJb7vw4/w3M3Rv0dFz8IyDELnDF/32m8A8CvNJzhfnpC8nH8Gwhrf9UhI0prnDxdf7rk5ai+mrzv8mp4KQmDOv4cZKdiKl/mXf/AOsVQEvEXDMLjZbxxMF55Y0L2xX7n7m2yKGAdjYNvH1bk867Emja8/eIznnz7XcePMlLRiutJnH2jKNoFUVFKr60LRxU0c1lTYCbq8s/iqVmDLlwE4W5rHUoqNeDupvtHS/59If5dSWs05tBJt4SwmCbfkE5wZMZV5EC6UqkRGzJYzDy/8887PW41VNg2BjEtD2x2OGqqBg8Jg1b8MMqZtBMSm30nLfliwgyoziT4rr7XWeHX1VQCuhQkEoxetLp3V7SK37n2x87OMlBZyR3s/mQRFz2ZTeuRT/nE3nQdfThIcv3dPOlvQToWt9uApCnCCSGli+rgqU0rDgf2eIyHtS6rIGNdwmffn+dlv+Vk+fPbD6YtlpNTq9KV0I+9kPaWCyMojrBqVNICjMxLGMPpWmxupBSPvBPC7/wT/9n/ib8Tfw4L1KC+5DlGf6G+AdhwilMK20gtY6gUxHEBihyFKtHXIOlakVL9X19C/96w/i2w3aKr9U0rPl/Xf7u56c7ye0tTmG7lVPasUOJfXG+QgC29HKR3TNjsVLn8dbL7Dh+wZIvMOf3jnHZbWF5FCEEyQHHd9vsAb6hznWzXu1e52NveNRpsNE4rmaOrO1dkcX12qMydMFgeMhWmqGFsZ+DsUmHLg0AjTWaVb/T/rejsmMhPyUoE9/PAn7Bxe1i8i7ZH7vFrODFeiLOyjf1/pWvpdaMWVkZVSACPQB52y6bPWXts3lX2h6LJSD4nSzfoLb60SJpKPXR8e/mNi6jnMXYjStXlSUlrybYQYrpKCtsrX2jEv3d3k+nxhT3v49uMcKoHNV5fr/IdXl7gym+PSlCrGw0amlLqmi20eTP+/adokCKJod0F1L9SjOp6CugpwJjxkZgpoONC+m/aUjjAT8GzJ4+M35kb+jowLzzb569/+5FBXwU4IIajkHJbNMyAjZP4sXwrPjWUB7sF5ne768dzbyPYZvrL2lZ6b40jvR+WHfWCefw9n4xBhr/P3f02rtffj28Dg5N0Ml0uXyZkeX7YUK6bJjJ0b+DebL7gsx4+DtGg3rvHp1LoLcLGsf8elxu7CZoMIT5qdlOQzRQ8rcYlRbKUzlh9s6n7cy/M6+MY0TMoJbMrtrIJGW5PSWHq71D3TEFiufg/vCUM2S+/BmFQ4SVENCggj4t85H9dhdGnRe+lBOq1BzE/9GgcJ3zHxbIMH7mUANu0ZCp790K7RDE5hhpm073mlucLLq7p4cyYpwRivfWlGf5dvrb3S+Vk2AzeXm65/+Cii6NusS48gHUmXnW0qUmLnentozxbLGEqxlfTnMBlOECn1cDOlNAkHzhAdCalSWhRNfvgDP8nPffrnehfOVKrG7H+x5LrmlLatPMKsMRvoSqRnZnNKBXF798baTDdbb2sR/r//Ga59kl8wvwknKRMLwUaz/7zFVhLiKIXleNimgVJ6QWxHg0dhDEKnp/SADjr7gvQQ4qX2rll/29VE+AAAIABJREFUFhU1aeKNlJA7CrKI/7vrLdab4cg9pZnK03SqnZ7SCwUdMz7IwttRSg9y4PLTfwrKl/jga78OgHS/whff0L0RuQl6js5XfG6J85yPI5pJqxMasbG2yJppUHZGa/y/Op/n3kaLOcNjaUCKbpMEW5q7SGI157Da1If3lXp/6+9Gu44Uirxh77kBCdvXo2AApD2yUhp7VS7s6LvYidXUmlxLZrk8Bim1crqSWzYc1tvrHfXdmTKoLJtVurSlv4ufe30JxzT44OXhlWMLk3jHxxihf/dJSamZhlZV96j6ZwWgF+9ujmzdzfDobI6X7m7y+SM+CiaDZ3m4prtnWNh+wjYc4gl7SmtRjZyCTXITKx8Z2WwPUEpboVZjRynm/dM/80F+/NufnOh9PEzM5BzuGfr7t37u6wExfvJu58mugVukuPICZ/1Hacr1nrEXcaJJVKnPiJV9xfzjnIlC8t4GDzbbXK9avB6tYyG4Vh4eJGMIg/fMPslLQYEV02CmyyGwE0IILrvPUfvqX+DazAKPndlWay5XdDFtrY9S0yTG6Uorny96qEQXpdZaet9aaep1+/q57bTaYmKwxfaelCmlkcztSt8FcP0z+FJype0wOzv9GpO39Rr3T7aeAhnDi3oW7dKyTqkX9ujW06OCauBwy9Sj4jaM6kMPOQLwS7NUU1K62lrl5dWXqcYCxx7vb7QQLGAjuNVVAK+n11vhJJJSz2IjcQnSdTc725QTibcj36PoOQRSUJODZ0zDCSKl0vJxiCGJETJLxp2wupIGHeVpctF/YvdIgaSNQsCAQ5/vOAglCIWgZeQQVp25QPvJO0qpEMR9VMxWGgji/Ye/qVWbb/uHzBU8WnFKbNq7Bz+DTgZ2FJi2g2Ntk9JoyHzGQchmQZoTHiAPBelM2iwldsafgahBE2ffrB/nUlL61kqdViR7+tyGIbtf3Sr12HdhMEFpxS0MpQ6WlFoOfOJ/4j33XiJnOFi5N/ijW28DkHcHHwQGwTQEUflqJ0kys/AurXyVRAgqI1rGMmtlWQQsEe+6PZEJoVB97bTlwGazrV0KqwNss+stfUgpjNCHhhPgS01KpXTIOaNtmNKf7cwqHZTAm72/jWhuLJXOSccYlIXFWmut0wJg74NSCrCYkdKvrPDMIxX8PYi4xe6QtSTNAvftydeUauBQ2cOOm11rsVRcnx+XlOb5w9vrtOOjPQqmGyWnROFhJqfugJUqpfEEPaWNqEEgJZvKn1gptdOibnuAUttI5/XaI6ybedc6kkFWlcDhHanXxrerzwJMbjE2DDj3Prjz+3zkkibgv337y52bE6XPE1m/5UPDwhMsJAmJuQEoPrlQ4xXH5lFvrtPSNAxPzD7JK5bBA8scGHKU4epsBRXN9KikAOfLBTwJG1FvCrtSipaQeF0ZB2dKHkmsr6uMlK5GWvE6V9yeW1mQNhtiezxSIz2fhUlAwd19PvQLc/zc3fs8vnaBS+POne2DrCD1UjJLo3ITvvRzACytaVVX+Nenfo2DRiXn8Ab6M14VlYffTwrky3Md++5Ka4WXll/mWjsmDMYr1piGyXkrzzvxVme6xlb6nciPMPvzuKHg2Wwqn1y7l5T6iYHn9RYGLdMglxjU1XCXzQkipekHEDchCXXQ0aRKqeUiTZeiaFJr7z4Ek4TEon8/KYBtCgxl0BaCJTNAiIT5Pkpp0mdjbaUVYG/xZfjUT0DhDPMFl3pbH7Yag+y7SYSNwrLdVCnVC2J7wBiMYYhlnP4ex8e+mymlTjoGY9afhaip7bv7pJQWfYucY/Lyvc3036On7wJsiHKHlM76sziGM5CUhqnyjXmA9l2Ap74La/YxngljguKbrGzp91v0JwvCcM/c2DUWZimd6zabG23Bv5qSC588W6Irdj9F1kNpSntXAaISOMSx3gyWW/1dBuvpjM/iCJ+1aQf4aZ92Ij0Cd7TvlsjN4iqYc4oDE3jXWquYSmG68yNbwwGCoj6kVZTBRnuj0wJgj0KyhyBTShc3WyxttXn53iYf26OfFHTy6c5VMyZGKHCmeE8/8qnH+W++Ybiq0t0/dX1hPLJ2JQ078m2TDz76cMJv9htFt9hRSw4CtqmV0iQef05pPa6Tkwmb5CYmpR2ldEBbSiOt2NvWAa+b+4hq3uE3kvfCo1/PC662306slIK28D74Mt9x870A/JvX/gCAMJYooUl8yXvI3/e5m5yJEyJiMJp8pLTCK47N43tYdzM8MfsEEZI3HIdq6fLQ+15L94tPP91LtBeKLrlEsCl7vzuNuIES4Ihtcpx3LUjHYa2mPYEbapNKDE7XuSiPz4axndvRTKcjROQ7QVrdKBTK3A8f51fDZ6cOOYJtUirMFl+qfDPc+T1YeYOlTW2NLhf7zyg9yqjmHF5KdEFhifKBKKXFygzldBzYna07vL35Fk+HDSic2+ORu3Epd4ZblglLui+1Furz4kGF0R0kir5FTfnk0zPHndodPGUQKa9vwd6XFrU+wkI3TgwpVZmqFzU7QUcTk1JAOgUKNPqT0jgkEfbAjVXPCbVoC8G99BA2mzZLW4aFgUHLECR9qs2t1LbpKwWXPwbo1Lat1nBSGsoIRylMy8E2xTYpjcYnpdExJKUiVUpdsU1KRdSkibtvPaVCCM6W/Q4pHTXoyDYNCp7FmijqnlKlMITBufy5oUqpp1SHbB8YDBO+4a/wwY0VInMR6WgiV8pPdmg5f+YsbqQ333t1rZSupr/zfPn8SM/xyEyAIcCUWq1d3tGHm6V6msrZZaevBA4qjeFfDvu7DDbTTaNo7X1IML2gY99NZP+Ftx+sorYBnbNK3N663fc+a+EmJal4ZHY8VbpUKNJWFkUpaSUtVlML2ShhL8OQKaUPttr81hu6OPGxa6OQ0t1KaUSMp5iqN+gbH1/gmT2SUrst9ZPYd4EjPwqmG1dKV7i8xyF9P2FbDrEQk42ECWvkkoQtFUxcKLTTEMFWnxnfAM0OKT1GLp8dqAYOX2hfgB/4Rd6qGQSOOXKrSF+cfwZkzPvNDYTM84cPdL/bZitCmPowWZrACTMWvCILabvGP/q+K9zI3WbJsnjszDMjPfyJmW3L7MxO59oOfP+zj/BP//TXdmZcZ8i7Fr402VK9BZVa6ibzjd7vjJlaN1c3dQDdutGiKnv/DnmRY93Ubh2AerSJpRTCzvdd6+aKHt/d/h/5N/KD+0JKi+nc57Ozm/yL8MOAgBf+OYuNB1gKzhUfYoDVQ0IlcHi1WYHLX8fviice+jgYgNm8T6wCHGXw+XufRyJ5MmxhVS7s/eAduFS5wS3bQt3XjoRaWEcoHb550qBHwngEaaG+HtUpYlJX/Qv2nnKoGcnQ5zw5pDTrq4kaiCQaGEI0MtwCBdFgq9VPKW0TCxvLGEJKlUlbCB6kwTtZhLkQAsdwUvvu7o01THvmfKnA0b/TfMFjtakvzOYAO25GSm1bH8wF+v7hBD2lcRp05JjH42AGQFoZd9Kv9Kw/i4gbtHD2LX0X9FiYN5c1CRpHzaoEDsuyqEOy0p6WYWNh2nFDK6XWIcS5P/48H8o/AsBmXhOoan6yze36Qp7F5Cw5JTq/60Y61+3czNWRnsO1TC5WA1ptfahZXO0da5DNhjPZ/VlVAhuURVHC8oBrYSslpYU9Qo4AHNvFS+27sfRG7il1U1J6ycjz+vrrndCnbqxGNQqJGDl5N8Ns0WOTHPlQX7f36/rzdaZU2WfyLoaApc0Wn3t9mZJv8+T5vQ+vFjaRoOd3jESCy8MP3MgO7yXfHnsUQmb3HSct9bDx2Y9/lh//6I8f2Os5lkMCfV0+e6ERbpJTik0mDzqy0nV+UNBRK3UGOceZlOYc1hsRcSK5s9bkQsWfLuglDTsSd7/IvPsIy+HbrDdCNpsR0mwhFAeiti+kqbWFQp3Xl/WB/ebse0d67IX8hQ5xHjQOJkM5cPr2hAsh8JXDlug9022k6ubOhHnX0ypZFkC3bCZU6L1P3ighhWAtXXMbYR1fKsQAVWw2v13on3ZGKcAzC89wpXSFqPSL/Ns7MerRj8ML/zeL7XUKsdFxuxwn6ByIBH7wl/l38msOxL47k3fYUDmKyuRLSzok6j3tkGB2/J7ci3NP0jQMVu7rBN5a3CAv9p7JfhxR9G1q+ARye68vSqFnl/Yp2Lt4bBq7zz7dODGklLRXSYWalEbKwpqCjAivOFgpTUIiYWNb/b9ktqFJaSgEi+lQ6GqXPcYWDu0B9t0wnbXqKgXpxjpXcNlo6QNWY4DyGcoYS4GdVqBFekAPo+FNxf0QS11JPE5KqWHpw6ijtkmpETdpqv1TSgHOlTyy62+c6nUlsHmQzSgbYVZpI2xqpfQwSKkQ3HjuRyklCWt5vdlWCpP12F2bL/CGPMu5OO70lG619e9/cX64FbMbV2ZzrDRSG246zzNDZuc12b0BZz2IFWWykvS/FmopWR1lrIbnWLhKX/eh8kdO3/XLc0gleDRx2Aq3uN8ndGktaeEn5ljJuwBzeYdNFZBPg9Pu1+9jKNU5wE8K0xDM5F0ebLb53FeW+ei1mU465TBYhoUSotMGACkpVQ9/u8nsu9fn+ysVw3B9ocA/+7Mf4jNfe3zCQSzDwjIe/qEtg2O5yImV0jo5KdlUk4+EsTuktP/rt9L9zp2id/mwkQXjrTcj7qw3p7PuAhTPQeEs3Pl9nl54HMN9wK+9cp/NVkxsRuQRmMbDL0CfmdWptfe37vBKTauPeyXvZhBCdNTSvXpKh8HHo7bjUHx/S/eMBjvWf7d4jkBKVusPiNsNlkyDitXbxpJ39HtZWnsD0HtRTkkMp/8aniUxCwEXq9N/Rx3T4Uef/VGaapmw8KvcvfStsPYmy0kDN/aYO4aktBI4bDR1UWarFR8IKQ0ck02RpyIhUQmB8FhIEooLj4z9XJdS58qtpRcBqCVt8lPODD+qKHo2WyrAArzUFVpKoIa3axICgCcCNgaIeRlODCkV6RiWsFXvBB1No5AZfomCaFLrp5TGw3tKDUMglLbvLqXnou6F1DVdWkIg+5LSFqYSWHauMx9wLu8SSr3IDSOljqLTUydE1nvT6Hv/YYiVltedAzzsTA0zU0rTmWT+DGbcTIOO9m/DzRJ4YUylNOdwL043qoyUFs6z0d7o2Ie60Yq0UioOg5QCxrVP8kEjTyMlIfkJRwY8MhPwNuc4H7a5m9pWt+INbKXGSny8Opfn1kaqlG72BgV1lFJj9yafkZQSNsuy/0G2HqekdAQLm++Y2DIlpUkwslJayfusUuByWx+IXll9Zdd9VmWIF9tcnh1PKZ3Ju2yQ65DSpeYDXAViH/qRF4oun39zhXsbLT52bbTChJWGjYVpr69SikhIXB7+wTdwTFzLGLufNMNHrs1O1fZx0uHYaZDUAKVyGHRPqWSLYOJCodMhpf2V2mxetzPBXOWjgoyUrtVDTUr3Y47q+Wfg7d/m2fNPIIyQX3rxRTaaEaERUZxynvGomD3zAQyluL/8Eq9GG5wzg7FswxkprU7R/xoYARuG2J6gwDYp3Rnm55YXqCSSteYKb955kdAQzLi9CapFT//7zspbgN6LAqkwvf5KaUZKzxb3byrABxY+wKcu/+fY1d/kn0VzYHksmiYizo81juiooJqO/VprRNTaB0NKhRA0zCLlWJ99z8sSAshNopQW9GNub74FQE2G5KfMdziqKPoWNfT6FKStZiWZ0BRB3wK2ZxRpvmtIaWrfjVo1DBkSYU5l3xVukZIxOOhoL9IrlE1bCFZRoARldzt5yzFdmobRl5TGso2jBDjbB9O5oktL6kWuOSAKP1SpUmpmpDTbvCcgpTKz7x4fUirSw5KTFkFnvVmMpJWOhNlP++72Qb/sj77QVAKH2+30oLRjVmk/tbQVa6XUsA9pUxGCD974E51/Bu5kh3zbNKgXrnA2TjozWWuqRjlRYylZV+fz3AtncKVkaYfKWE/tV5bYfRDN1OyC8lge0GDfinWhZyRSapvYUn+f2io3slJaCWxWVYFHG00EglfXXt11nzUhsRJ3bKV0Nu+yoXKUmppca1KqOn3W02C+4PH2il5DRuknhe3U32Zbv58oUUTGwZBSIQT/+Hs/wJ9/bjRr+CnGg2sPJ4XD0Ihb2r47lVKq98Uw6V9gamdKqXv8Semt1QbrjYjz5X3oRbv5adi4xY1U4f7CnRdZ3GzRMhNKU/aejwrrzJPMJQkPHrzAy7bFY7nRMgUyfPT8R3FNl8vFyxO/h7xdZNMwiBvbSexLG9oNVAp6yW6uco6ZJGGpucZX72m78XzhUs99yunvcG9dF1wbcZNASSyv/345n5LE/Z6B/CPP/g8YssDP3/tpohvfwpJlEsXlY0lKM3fT3fUmiVTk+6QYPwyEdomZNJTxfNsmwUDkxx/jci53DhPBrbgOjVVqKiZ/0IGVB4SiZ1NX+nfLpc7KcpzQMvp/vz1r7zPWySGlqVIat+oIGRNhjWQ1GwivRIEh6bvYWENJryalK0JikeuxWLmmT1sIVJ+NPVJtbQ/ssn/M5V0Sqf/wjQGkNFIJlhKdXh2RDRkfYN/9h//+df76L7/U97Y4bdp3rONDSjPy9oxznm+7+m3MulUs2U7Td/e3pxS0/WacCl45sHm7lV6o2azS/OBZpe24fahKKcAH3/OZzv9P06RvzF3nfBxTS5pshpvUVItiMh5BuTKbY0WVmUsSFlu9o10a6fxT09xdnbZNg4Jr4Smf5QGXayup4UqF641GSi1lIJSiKUdXSsuBw4oqkW+ucbFwkdfWXuu5PYpDtgyBkfhjzSgF3ae0QY5qSgLr8Raukvti/c7Cji5Vg5EPUla6OWXjOVpxQmgovAOyMH3DzQUuVE5eqMRRgJsWOuJkPFKayISmDLeV0gnXZDfd57NZ2juRZTJ4B5hIvN/ISOkf3dHBbPuilD7+PNgB1978LQBi6y6/+uX7NA1F6aD6b2dvsBBL3tp8i7dti8e7wotGwTMLz/A73/07LEwx77HkllFCcHd5O2xubUvvx5Vcb9FttlqhmChWoy3eWf0KAOeqvSNWZkqapC6mrSmNpE0gFbY/qKdUr6eP7EM/aTcKToH3ej9InVv81PxZaobBWnTuWJLSbBb126u6GHoQSilA5JSYS8/kjzQT1swZHfw4JmzT5qxb5bZtwa3PUzME+RMYcgT6b7OVKqW51CFVTULCAaTUd/Z2OZwYUmqkymLcamCoiERY0zUWu2lPaV/7bptIDE/3DVWeu95F3hE+jugdIutanrbv9umLSTJS2jUQfb7oQpqm20j626YiekmpkfbXDRoy/ttfXeE3v9J/bmOiMqX0+FgOjNTWdcMs8uMf+3HM1KrZxMHdxyTNsyX9OkXPxhij6FENHG630wu1pjfBYbNKW3ELTyoM5/B6ox4tPcqsN4NrOFP1rVXOX2MujVu/W7tLzQgpqPGe78pcnhYuswks7ZjV22jpf9tW/+p0OWfjyICmITr37UYktyhICSOowZ5tcKFt8mQ7pE7Qt5m/73vwbVYo4LRXeKz62C77bhamYaq8DmcaA3nXoi7yVMMtRGpf9+X+FDSynqRRRsFksNKCWC0dtdOOJG0BrjiYivcpHh7czL47gBQOQj11IwRSsalyE1sXnXSfjwZY8TP77klQSr+ckdJpe0oB3Dzc/DTBS7/E+dx5XP8Bv/XaPTZNKNsH9FlZLgumxx8ZCUoIHjv/4bGfYtre14qv17F3lt/u/GyzqeePzpV6ye5CycNPLNaTFvfT2dJXzj7V+3yVCwRSspLOmG4kbTwJgd9fGSv5Nu+/VOajY6yno+LTV7+JaOs9/MzbvwpAqM6QG7FoepSQKaW3D5iUKq/CufR8/Vi9Rs2ZPPDuUukyt2wL3vocNcM4keNgQM8eTdICYJAWnatxSDiAhOe9vVuATgwpNdNNKGnXMWREMu0ByC3g06Te6rP5JSEhg3tKAQxhs2n4hKKGa/QOzfUsn5YQneG6PU+t2niKHqV0JudiCANfKhoDKtShkpiKjmVZpP114QAS2wwTwlj2vS1TSt1jZN810gN4h+inCnETd9/Td2G8flKAcs6hjUNSOA9LL+ufuWUCK+ivlCZaKTUPy76LtkJ+5PxHqU4RLAFw9UwFEelr4G7tLpuGJN8nlGgYZvN61FFFmSzFvX3V9XY6AsXur3RWAweRDkLfGZIEIFVKSp1RSKnJh7Z8/tm9B4Rm/76JfrBMgy2zjBeu8VjlMW5v3e6MsgFYS99XYM+MXUwTQhDZRXJxjUL6O7j7pLJnSumo1l0AJ7UDttr692tFCW3jlJSeBHhpoFw0Zk9pFkaWU5JNAqr5yQqebpqQPVgp1eu/7x7fQ2DWB//CO5qUXtgPpRTgqc9Aa50bdpEgv0RO1tgwDMpuce/H7hPOeLOodH17fOEDB/a6GeaKOsfg3ur2WLGt1hpCKWbLO0hp0cNJHDaIWG4tkpeSS+d6w/ly5Tlmk4TVUO9BDRXhKEFhQFuHEIJf+HMf5VufHn/+5V740JUZ2ve/DStdf0vO+HvJUUD2/X97JW2rOSBSSlDhW2s1/vaH/iqPh2u0g8kV+Yvlq9y2HXg7I6WTtT8dBxhpMT+X0sm5uEVs9i90FUb4TE8OKfVSUhrWMVVMPK1VzCtioIhbfeaCjtBTamKTqJBEbJIzew/LvuXTFEZf+25CqOcgdvWUZimYnoLmAFIaKYmpRMcWZaYe9vYA+24zkrQHkNIkCzo6RqRUpL1OKuvTTUcDtHCmGw20A55tUs05Y8+Ny9Sv+tz74Z3fBfQGNWhWaSjDw+0pTfFDX/tD/NQnf2qq57g2l6cRpoEQtTusm5AX4x0ahRDM5V0K0mVR9V4DjXTEjuv0J6XlwCGOUlKazpzrhqKWKqV7vyffMWkpvWkmY1oEm3aFINnksbLud+y28K6m4U1Ff7LqrPTKmCRU0s/AVQrDmb6P5euuzfGp957l4zdGT1+208CDRkpK21FMS4B3QL1rp3h4sFPHRCLHVErTAowvIbKCiRUc2wkwlSIa8Pph0sZQCs87vkqpY+mWg8WtNo5pjD3aaCCufAJy81zfWqHFA4rGOluGQckt7/XIfcNCUbesFDE4kxs96G6/cKZyFoDlrQednzXDLXJK4QS9ybrzBQ8z8YgEvCNXmYsg5/UWU4qFApVYsZ6G5TVkhC2NgyNSXXh0NseMN8+jxmdAGcx548/YPArIzla3OkrpwRQzraBKUSoeF9c4ywqyMHnh4GLxEpuGYGPxy9SEsStE6yQhs6pnK25VJiQD3Bfl4t595CeGlFquJnEybGLICDm1UppWD/vY/YjbtJU1tKfUFA4JEcqokbN6F33f8mgJA9WHYEoR4isJO+T+ubyLpwSNAbalCImpjI56a5hZIER/EtuKEtpx/yG2UUpK7WM0p9RMbWUdop+S8dj09r1aeHkm6AQWjIqsT2K1+hSs34J0U7yQvzCAlOq5s9Y+EItpUHJLPFp6dKrnuDKXYzE5hyclry6/SCwE+REa3ndirujhyoAGqkdlbISbeFJiev0r/pXApt7Wty1v7v6spWikSukIpNQ2aaH/lnJM21vb1YrzTU8Tz1dXt8OOlrd05X62ONlBwvD155lZ8TylOpb2aXBpJuAffc8HyI8Y6AR6bAhsz4xst5o0DQPPPCWlxx2ZfVIOCBoahOx6tXGYzbkTr8mWbWMPIaVRNq/7ENse9gOZknyu7I3VJjIUpgXv/U6u338VicTPvY0SgpJX2fux+4QzM3oEzE27cigq3qU5PeJjvbndutSMt8hLCTv2D8cysJQuZr5tNKkku9fAsu9QSAzWlT5vNFSCJc2x1sv9ghCCDz1a5e6t9zG/9rc4lzt74O9hP+DZJjnH5FYasHdQn6Vb0P2Od956jZxoY5XHC+LqxqU0EOsrlkVoCAr+5InRRx1536MpfHJpyGgpkQML9tXi3mnGJ4aU2ql9V7brGCpGTjvOJF2gRKrC9CCJRrDvOsSqgTBbFO1eUhrYPk1DQLx7Y1WkpNTu9WTPFVxcCQ3ZP0FUk9KuntJUPh9EShthTDsarJSaSh0rUmqbJqEyUR37rl7Qkj5jQqbF3/sv3s+PfduTYz2mnJLSe/n0calaer5wnjtbd1Cqd3ZappSax/xwBXqT2Qge5Vyc8ML93weg4IxvCV4ouBiR/l4vNZY6P6+1awRKYQ7oCa3kHNZbmrStNHqTexOpUKI1ck+pb5s0U1I6it2357XSoe8LUlB0ij0JvHfXNSk9Nzv+XDQAM63yl9PQEvcQrd926tJopqQ0ajdoCXFKSk8Ast7yWE2mlBrKY2YK5c+2bGwF0YB9MJQhtuLQi3nTIrMw7kvIUTee/gw32ppAzZ9dBKAUTDaDehIsnNGW3ZulKwf2mt2Yq+j1dTNt+QBoy4YmpX1szLapz25NQ1FSu/8Wnm2QSyzWCZFK0lRSk9IDUvd24oOPVrm70eLtJXUsQ44yVHIO9zZ1i8BBqc5+SV8Hjdsv6H9XJ59XfamoSelLrr6Oc1O2QB1lFH2bBj6B1HyiIiVqQIG/mi/hSNX3tgwnhpQ6rqtJSdjAVPunlJrR7hmSJG1CNdy+awkbKfTiX3J7qyR+GnTEDsIYJxIlIgKZ9Nh3QUeJ29KgOeAwEKEwupXS9HDaHhDd3wwTWgOUUk1KxXTpxQcMyxSE2Nt9uh2ldP9J3cVq0OktHRWVdPbW284NMOxtUpo/TyNusN61SYIe8aMr/sf7cJVBzlznXBzzVlOTwpI3vk11vujSThXPpdo2uayFNXypMAbMhqsEDsvNMoZSLHeRWdDFGWm2Rw86ckyaKt3sx+xbU2m6o2gsc7N6s0cpvb+1hKEUj567PujhQ+Hk9RqTjXfw9sm+OwlcW18brVBfg63GBrEQeA/hWjzFwcJK22LkmEFHWU+pkh4zE/aTAtiWiYUiVgOKszLGVQrHOd79y1lV0LruAAAgAElEQVTY0b6EHHXjzFNcKl/To9OKei0sBZMHuoyLy+c/TGB6fPi9339gr9mNQjCLoRT1ZLstK1Qt8lLtUkoBXHubsBfFbnePEAJfetQNxWZ7EyXAkPahKKWgSSlALI83Ka3mHLI6feGARsLkynp/dlb0VIriwmQFYoALhQsIBC87+jouHOA1dtAoenpWaUVKLGFSTpKBpLTkOxT6a2EdnBhS6loGLVxU1MBSMYkx5Rc5HQ9hRlvIncw+Dmkz3L5rie2Nd+ew55zjEwoQOyxQ7VgijJBARrvtuwUXSwoacoDlVigMaXSUUtPSvTfhALtvK5JEiSLpU7VIlMJU7DHy5mjBNgUh1rYlOiWlyT5YGPcDWeV7pS3g7FPwzu8B27NKsxmeGSIV4x0B++5+ITh3k3NxTPZtq+THt8bMFzy2UsVzcePNzs9rUZ2clNj+AKU0sNlUBaqJZKW12nNbox2TGNFE9l1zTFIq8mlYUGOFG5UbvL72Okl6Pa+21ihJycWzk9l3/dR6lEv09X+YSqljZbMs9TVYb+mCS2CfzFj8dxMypVSOq5Sm4WRx4nUI1ySwTYGltmdp70SsImzFvobbHQa2Sek+XzNCYD31Ga6EIX9U12NRSvmDs3mWvTK//T2/w9dd+sSBvWY3DGFQkNCQ2+0fIW1yUu1ypwHk/e3PpmT1V5Q9pR93a0vnFQhpUzyEnlKAxxYKndc+zqQ0Oy8B5A/osyxXNXGca74BQGH+0rC7D4Vrusz7c7ycEur8AVrkDxpF32ZLeXxXEvC/P/Xf4gBiQIG/4FkEyXBecbxX7i64lrbVibCGgURNS0pTpbRIk3q4YwNMQtpy+EiYbCwCQNXfrZSGhtjVU9qOJUJEBDLetUDO5F0sadJgACkFDGV0NmNhuzhK9R0yHieSMNHlin4JvLFKMADrOCmlhrFDKdWVeXlE1BnPNvFtk7V6CBe+Fu5+EZK4M6v0dm17blosYxIk7gnojcpw4dx5StG2HXyudHns55gvuNRjfTBY2tiO9G/ELQKlBpPSnJ7jOZskLIe9PeJrrQbKkBSkGi3oyDZ5ST3CH8hr+GNWcJ2C3vTirUVuVm/SSlq8vaV/j/V4i1KimCtNdgjNqrx+ulS5UmHZh6SUZi6NSNuvMlLqn5LSYw9T6Gs4GUAKByGz77ZivzOrcRLYpoGldNGuHyIVYynVKc4eV3RI6X7bdwGe+i6uhxEheu8vTRHoMgkMcbh/m4ISNNFrk5SKUEQEGHr4+A6UCttqWcXvXzD0UwW1Q0qVfWBEaicMQ3TU0n0LyDoEZN//nGMemGMvI6VXlQ4dFFNeF5dKj/DVNOvkpI6EAT0ecUP6FMMG73N1oKXhDSal/h4z6o/3yt0F1zJoKhcz1D2gatqe0pTpF0SDWnsnKW3TVuZQUmp3kdJ5v3ecgpcqCbHsJaWtKAEjxJeqZyQM6IvTkiYNtZtEJjIhESCU2SGlpuXiKkW7T09pq4uI9gs7kujxMpZxfL4elikIlQVJ70gYeVCDwUdAJbBZa0SalEYNWHyRi4WL5Owcf+23/hr/4A/+AWuttU4hwVUK2z06738aXJ/PY8Sp+0ApZmbGt8YsFD3Wkhl8KVnsCoeqJy1yUuL4/YOOqjmHNjYzUrEc9aZpL9U1YSqOqpQ6Jv9P8gn+RPhj5Ma0aPnFGWJl0N54wGNVHfjx2qpO4N2SLQrSnDj8o1jRa0wQ6utZq+yH893JZkS207EhjXSubM45vomop9DIgo7UhD2lrSRgZiqlVJPSWA0O6bO7UuiPKx6afRegdIHrXU6Vg+wpPQooKJOWiIgTyUYzIjISAvqv5cXqJfy0V26udLXvfTxDq2C3s0Jp4h6afRe2LbyzJ0ApPUhy77guNXxcEbFulMGafJ0CHXYk0+08P2ZS/3FCwbOoKQ/V2iRsaP5lDRAIco6FK4f/TY/3yt0F1zZo4mKG+tApp7bv6gNugQa11k5SGtFSFs4Qe6vTNf5gPtfb5OylQSA7B4A3oxhhaNvmTlLqOyaGsmiK3XbbzKJrYnSS+gzT0Uppn5TCZpjwjcbv863Gb9LqE3aUIDE4Xj2ltqmV0o4lOj0EKfvokLpKzmG9kSqlAO/8LoEd8LPf8rM8e+5ZfvqFn+abf/6b+Tu/93cArXY57smw716dz9MO9eGnmiQUq+OPA5gruKxQZj5JWGosdn7eTEI8CX7Q/2+9UPQAQUUZLCe9I5JWm3oRHbmn1N6u8gVjjrUo5zzWKBBtLnK1dBXLsDphR1sipKAm34ArlRkSJQja+np3lTw067eXKqLtdEZyK12TgxM8q+3dgo59d4BjZxDqUR1TKZoymC7oKLPvDnj9WMVYJ8C++0g1wDIEV+YeTiHn+pVPdv6/8C67LovCoWkmLNdCVuohLUPii/4EpDh7hmoisZViYfaxvvcJHL2v3VrXtk8p3UNTSgG+4wMX+HOfuMoT5w5u/ux+o5pmcBzUOJgMNaGvhS17+h7Qi4XtoKQTrZT6NjV8ZHuLqKEL0IMmIRiGwI2Hfy+P98rdhcy+a0cZKZ2uyoEdIIVJQTTY2qmUxm1aysIaat/VF5OSNtUdVYNMKY12zFvcamvLqafkblJqm5jSpNmHJ2bKmqG2D8mObWIr+pLSVpTwg+a/4b+yfrmvUhoreex6Si1D7CClKfk4SqQ0cFhthFC+BLn5Tl/pY9XH+MlP/CS/8K2/wHMXn+PnX/95QKtdJ0UpzbsWsdDqaDmBUn78w9Z80WVZlZiNExa7ekOb6cDynNP/IHCmqK+3krRZkTolMcNKM1XxhAXG3iTT7yKl4yqllcBhWRWRtSVs0+ZK6QqvrL5CIhU1Q1IQk5PIuYLPFgF+W68pnlJYh1TQ8NKQtijOSKkOiysMsPSc4vggCzpS49p3wxqBVGyRnzLoyMBUgriPYwh0Cr2lxP6NUTkkfPMTZ/j1H3ouLajtP649+d0AFNR2oeHdgqLh0TAUDzZbLG7ViQ3Im/0/5+rsGcqJ5EwcU5rv7+4JPN13emtTK6VSuRQPKX0XdKvXD33LzaFOvqOOSuoUOGjFuWHqParlL0z9XFkCL5xspbTo2WwpH9HeIk6L/HYweK9/rflXhj7f8f3W7oBna/uuHaUjXKZVSoVAOgXyNHuVUilBRrTlcPuumyqlKs7vigfPlNJwR1/MZkpK/T5N94FjIaRNS4hOOEqGbGab0WVBcSwDR0G7z+GhESYURBOPNu0+PaUShVDiWNl3tVLabd9tpDccnT62cmCz3oh078qFr+0k8Ga4VrnGZz/+WX7x23+Rb5XXea7RxPVOBikFsEuPYytFMTEm2mxmci514TOb9NpwmyrGliY5tz+pzLkWBc8iJ11idEpihvWW/v+8Mdrhzza3HQRjK6WBzT01g7v6KijFzepNXlt9jXfWtqiZULYnJ21F32KTHIWWJoLeIQYd+U42jkpfi63UtZD3T+4A8XcLtoOOxiSl7XVySrKp/Onsu4aByRD7LgmWOt6EFLSi8FCsuykWKlcpCJuSdXT2x4NCxclTM+H+Zot7W2sA5Ad8DgulgK9pSD5Rb1Od7a+eWcEslSThVtpSImVw7O3jh41srvtBjYPJ0Lb1HpXsQ591j1J6kkmpr9N3RVgjbm4hlcAd0Eql7z+cm52YK8cxDZo4uLE+rCpz+kqVdIoURJN6t1KaWtEayh5u301n8qkkT27H4dVNh8vHqte+W+sopWpXf5vvGAipf6dm3GtB7CilXaTUNo2BSmkzSsjTJBDtvrNKY6Xtu8cq6ChN3zXktlIaY2Id0sG8H6o5h7VG+v4ufA2sfAUaq7vu90jxET4dX6KYKCx7SsX/CME7c5Mn2iFnQnui3knTEMzmPUrKZilpdma7ttADy/0BSilotdSVmngudw1OX08Jas4c7XAmhOiopYOU2UGo5Bx+KXmWXP0WvPUb3KjcYLG5yO+8oy28M155j2cY/r7qRoGZVh0Lk5lEwiHNBfVTRTSbkRwmmpQWT0npsYfZcROMZ99ttDfJSckmuantu4YSxPRXSmMkFsdn3zosCCF4fOH9zFQnG0F1nFFxizQNwd21De5tpZkCA/rdZ3IOf3zN50+tmgO/t1Z+hpkkYT1NmDbMYOJsgFNoZErpQSvOsaP3KKM0/nSAnchIqWu62PvAR44qip5NXfkYKobGMjU8giGiw16FhhNDSoUQhMLFidO5otMqpQBukQI77Ltv/HsAvphcH2rfdUx9Uak4t+sP5KeJsDG91eatdK6fr9SuOaW+bYHUz9nsUnqgPyl1LANLCcI+FeVmmFAQDXzafWeVJigMJTCPlX3XIFRWj323hXukUhjLgcNGM9JjeC5+UP8wtfDuQtLWacInCNULN/jpu8s8v1nd+84DsFD0yEmPJpJaVCNMQmIBprR2FX+6cabkYcT6ultubZPSrfRaKo7R85H1lQYDlNlBqAQ2/1p+iJZVhN/7PzphR59/5z/p95ifLnCkbeUphTX+6+R5/litPnVQw6QI0hTjrGe+HetiW947JaXHHZ05peP2lIZb5KRiU00XdGQaQtt3B5DSCImpjs6af5TxV5/9q/zYR37ssN/GgWM20MW/e6u3WKrp9o3ygIKZYQjuWBd507g08LznFOd0ETCFaZy2KUyL6iHZd2VaGPZmJhvN1o2cnWPGmznRKimkI2HQZytj6x51/IGuNWDPcUknavUODQ8j26zM6Q9khl+kKHYEHb30i6hglt9Vjw2376YqhUzyBHZ/pTTaQUprYaqU9knfDRwTJfXjGq21ntuyoKMeUpoGQvSz77ZSpdSnv1KaCE1Kj5NSqueU2hhd9t0WLq41HnF4mKgENkrBRjOCc+8HYeyy8GYQcZtQnCxSeu1Mhd+XN3nHmbw6P19wsWNdsFlqLNFIbdpC2gR7KKVxW19T3UrpVup8KI0QcpTBd/R1P65S6tsmyvJ4YeaPw8u/zGOOTsx9Zf0LAJwtTTcvMLKLuPEWlcTV5YxDmtFrOy62Uh1SGqbhUv4USvApjgYy+64am5TWyClJbBd6wsLGhRACE0HC7sA/gAiFdbKONQ8NF4sXuVK+cthv48BR8XXw5NrmHZbrmpQW3cEFs5+p/iV+ovjDA2/3irPMJtvXg2Ud34Cho4LKIdl3nbz+bpQWxp8O0A+XipdOfJBY0bOoKU1KrcYD6sobehbbS/0+Uat31NUXth/2XcMrUqC5PRImasHr/5bo+h9DYmAPURK9lJRaqrgrdKETdCR6N/ZaGs7jKQn27vTdDiltr/fcFiVpT2kXiXEsA0sK2n2V0pCcaOOIhDBs7bo9UQrB8eoptdL03W77bgsH1z46v0O20K41Ql10WHhiMClNQqITppRem8/zvdGP8Ctz/+XEzzFfdElCvcgvNhepZ5Yp5QxVxc+UPBotfU2tNLZJaS3ewlLgjUNKM6V0zJ5SIQSVwOY/Fj4FMqLy8i8x589zN3odgJn8+InE3UjcMkGyte0WOCT7ru16OEoRp60DodRrjD/k4HeK44FsTum4pLQRN8hJhdgHC7epjMH2XaFOldJTDEU5HdG3Wb/PZlqgzA8pmP3Axx/nBz/xnoG3F4plKmk2h6UU5hTZAKfQKAc2edfiTOlgC6vXL+twotL85X15vu+88Z38yRt/cl+e66ii4NnU0X8nt/FA23eHnI2+99nhhP9Exa5Fhku2V4l9UUpLFEVDh9OAtu6GNVrXPgW/I4cegjM11GZ31awzEmbHxt4Iu3tKd9h3HROpUvtua6Pnts5ImG5SahqYyuhLSuPGtv03TvtYu5EIhZDHSynV6btdPaVhXfcYHyH7btYnsVYPYQ4ddvRH/0KHZ+0oABgyJDphSmk5cFgoulPZ9+YKHo12EbjDUn2RGU9XNg01nIAtFD3eSgq4UrJcu9v5eSOqk5cKwx29ut3pKZ3AWlQJHP7dks13BO/D//f/G/dn3ouZ1+NtKsWLezx6D3glCqoOcZrqfUj2XdvRpDRKZ1lG6Txmzz1VSo87tpXS/qRwEOpxk0BKWsH034FhPaURCpOj4445xdFDOaeTVRvtRZpGBA4UvMEtJZ96ariDpRQ45BK9V/tSYYxR4DxFf9imwf/7338ds1P0n08C6/o3wuKXobI/SunzV5/fl+c5ynAsg9DUBX8vXKGuznB+iFL6gUuVoc93dE7s+4DI6Eqr24/GYrdIUTS5v5kGC738S+CVaJz/KMBQJTGX+sh9Y/cfIFNKkx1KaSMdoeD3m1NqmySJflwj3NFTGunHdSulWXR+2Cc6P4ttBohb9V23JygMjlesfjYSxsiCnaImDeUcOfsuwFpW5LjwQWhvwvKru+5rJG2iAbPTjjN+6vu+hr/4yRsTP36+4NKKNBFd3LxFI+1XtBheUT1T9Ngkz0wiWa7f7/y8ldQoJKPNKM3gTaiUAlysBrz2oMbPNL+ec/I+X1/ePqSXC9ORUjMo44oI1UqdFIeklDqOq0lp2joQ0caRCtM+GTN3383oBB0JSZyMTkxrSZucVLj5yfvJO+8Bg3iQfVdwSkpPMRSl1JHSjlZph7oVKufPDHvIUBR9GyfWa22gJIb7cGbLvttwoRJMZfWfCGeehO/4mf3hD+8iqK7zUx1vaE/pXjhRSmnSNWtK7IdK4BXJ0eDOWhOSCF791/DYHydKP7Zh9t157yKNW3+G88X3737abCTMDqW0mdl3pdpl37VNA4VWTxs7g47Sg7nZRWIypTTsU1GWzU1uWRahECR9lNIYMI6ZBco0BKHaVkpV1KAh3aOllHbbd0ErpaAtvPOP99zXkCHxCVNKAd53cTqlZKHo8QVZJSclS1u3qafjRgwxfHzCmZLHpsoxmyQsN5c6P2/JOudkAu7oYQS+M7lS+pPf9TTrjYgLhW+Ev/t/8u3iPp8DSkmClZ9uYLeTHvidrGf2kDZWw9QzkuN0bEikQu3+OE2kPPbIgo4QknYsh4b9ZVBK0ZAhOSUJisOr5KPAwCAWg0ipwjxZx5pT7DNKeZ2smqgtWqH+/hZyk6+9Jd/GSnygRSAVVv5kB9uc4hQ7IdwiWUROHR9vCjHo6JzY9wGxuX0w3Q/7Lm4RE8na+jq8+Z+gtQ6PP0+YVoiH2XcdyyCp3yDv7H4f2z2lvRtrM0lnDBo2mLs3VsNISWm41fPzMD2Ym0YXKbUyUrp785btTT47U+FHZ6vIdm337eie0uMEIQSxsDFTpVRFTRpHLH03s+/+wa013llroKpXwCv37Ss1ZEhyApXSaTFfcFmixFycsFS7TzNMSakxvDp9puSxQY6ZJGG5tT2GJ5J1SjKBMcIIJu0pBd1/cbEaIGwP3vc9PPamDjmqJhL86Q7sXkFX+4NoVSc3HyIJ7CWlEV5/DnGKY4Zu+24rGq2vtJ20SVDY0qBSmH4upqlM+k1JVUoRCXFKSk8xFH5+AVdKhFlHqhq2Ujj+5Aq+a5mYid5/ckpi+6ek9BTvLpje9ne+aQRTuSyPzol9HyC70yatfVAJPN1n1q6vk7z4r7R6efUbiBN9whqWvpuRoX5qSpbMGxqA3N7YW+n8UW9AaqZh6D98M+wlkmFq+zXFtl3PMQ3EAKWU9hZLpsmmYSDDk6GUApqUprNfVdg4cj2lOcfkQsXn//rCbT722f/A1/yNX+NLXGf5lc/pRN4umDIiNk5J6U7MF12WVYn5JGGpuUQ9TaI2jeEHgWrg0BBaKV1pb/dkx6pGQcrxlNIJ55TuwjM/yMWojS8lFSX6FqLGQVDSpHSG9UO3fttqO108JD4lpScE3fbddjyafbfjZpA21dz0lvJBSmmWrWCdktJTDINbpCQlymxhmE29/nvTJeZaaAdQIBWuf9pTeop3F6xgO8AuNKYrPB6dE/s+QHYppcZ+9FOl4SdF6vDKr8CNbwLbJ0qV0mFBQI6ZkdLdaoplWJhK0BJiO5QEaKfkMhgw18g09WLXiHr7QMPU9msaXaTUMjCUSdjneUR7iw3DoGkIVB9SmgiFOIZfjdiwsbp6Slu4uAfdkzAEQgh+7S99Pf/qz3+Uv/7tT/INN+f5Ejeo1t/k7/5yr1pqyZDklJTuwmzeZZUic0nCYrhBI+2ftK3hBwHDEDj5KrOJZC2uE6Xfk4SGPpSMM6fUmWxO6S7MXMW88gmeazR5n5q+iFYs61TJObF+6NZvrZTqdTISMa46Xs6LU/RHt1I6KinNxjYZ0mE2P/2aZtJfKc3mdZvilJSeYggMg7ISJGYbYbTIS9k56038lOYMllIEUp6S0lO86+D5eZKUM0TWdD3Vx495DIGyuuy7+9FTmi5Uzxl/gNlchsd1klZm37X3sO8CA+f12Ji0hYBkmza2khaGAsvu3x9n2gWEUrtJabyblNqmgaEMQqFtTd0wwk3WTIOmEKioDymFY0lKE+FgkGj1OWrQVEdLKQVt9Xn6Ypnv+/Aj/C/f+TTf/51/EkMo3n7hc6w3tr8LpgqRxsnrKZ0Wtmkg/CqzsWQpqlFPVU/b3nvUhF+c6cyTW0sV1li0KEg1VtCRb5uYhugUnqbCM3+azy6t8BeMuamfqlDWzzHLxqGTUksJ4rRnPiI5JaUnBNs9pYpW2I8a7kY2tgnpMLMvSqlJ1OfrlJFS4wT24p9if1HEJDJDMHQA1zjrfz9EToW5JCEnFUFwGnR0incXioFNHc1bYutUKe1AdZE5Yx/tu99l/rpWra5/E0DHvjvsUNpRSgf0ndlYNIXRQ0pD2cJRAjFAtTHtAF8pmikJ7Twus+92BT05lgHSTJ+3Vy+V4QZNw6BhGIidpFQpEqEtUscNSXYYiduIqEGToxV01Bfnn0EZNp9QX+Cf/97tzo8tFSFPldK+mCsFFJVDiORe/S5CKSxn70p3sVzVvZvAcnOZdtJGiTi1745+KHn+6XP8xU/eQOxHz+bNT0F+Qf83JYx03IYjkkNX2S22x3aEIsFVR8excIrJkdl3YyFoR/18OLuR2Xdl4jGzD0qpgUkiBHJHsnyYuo7s03XzFHugbNiEZoI0Q62UjuGU6YfEK/O3Flf43vU2ef+0KHKKdxcKns2W0vwrGeD0HBVH/MQ+HpS9zdBNa//su9eMu9yqPNs5uI5i37WH9JQC2MKibfTad0PZxlXsGgeTwXB9Aqlo7CClUaKfw9pBSoXSrx0mvYeHdqwtj7EQJNGOoCMliRHHUynNDiNJGyNupj2lR/ww7JUQT3+GP2X9Or/4W18ikWm/sgqRxuGM9DjqmC+4eOl4pLdrdwiUQoxASs/8/+3deZBs6Vnf+e9z3rNkZq23b9/b3bdbaGlJjRBCQhJIIKFuCYZFm8cGgxgWj40GIsYQYYOJwAhmFAzYjJklZgjA1mCIGQNmAmFbWCMNFtiEgAGslpGMJLThkNHafZe+99aSlZnnnGf+OCeXqltZy62sm3Xy/j4RHV1dlVV1qk9VnvPL53mfd61DO69uGK50r7BRDww7bvvui562zt9+9bNv48j3ERL47nfAN/6Dk3+t1rhaXJyhSmnfSrIGPp/IrYaV0txg0Osd8ujKMJQWZXsmoTRYHYzL3ZXafv0Ca6xKqRxiPWR0Q0ER5SwT3bJP+HF5+x5e3Otx7yBh5Tamsos02epEKC0Tte+OJZPtu7OrlAI83nnl6O0jte+Gg0NpSsKOGcVgMpTukJW37lE6FJIOHS/Zrqf0jj6vrpSmE2tq0xBBXZ3oFbtvHvrlxKCXwe5JvpQ5uVWvRjdNMWx33am2zNnxBlRKAV7xd0gY8I2b/4rf/fMngLpSOosJ0gvo4kqGDaq/kU9tfZ6lsiS0Dn8ivH+tRVbvJ3e1e5Wb9dZKxx10NHMXnwfnnnHyrxMSuvXWOHOvlPp4GE0/cjINn1kIkVXPpwVGr3+8UDoo26NtsU52DHH99XYPh9tvCr3IftZDh80IBlHO8gxexLBONWRu2zOWW3quk7vLajtms27f9RN2HdzWHbuZPcvM3m9mnzSzt0x5zNeZ2Q0ze8ZJDvBYxzWR0EMyu0ppTuD3/CWjdw/qAQ8Htu+O1pROad+1hK4Zg/44YOZln7Y7JPv3ZIe6UtrdG0rr0BnFuwcdMaVS2vdxdTQvdq9PrUJpwyul9fCbszZ9d6p7n4M/7438jfg9/N9/8GEAUgb4LIZ1LaCLqxn9XtW18IX+dTqlE1qHt9/et9oiKqonzivdK1zrTobSxRhOsROqC0Ix5yr7ZPtuz5xUw2cWgpkRE1WV0qOG0npavNnKgRPrj2q45cug2D+UxuowkUOsJ8sUBhtxwcoMXvyNl+pQSouVlir1cndZbSVsedW9ZsfYXm8/t3uF+DHgp4BHgDea2ZdMftDMXg28Bfj4iY7umCwbVwpnEkrTZcD4WPvL+eTG+IkmL4+wJcxoTemUSmmU0jNj0BsHzIH36Hg5tVKaZS1a7nT3hsyiR1r6rp85DRFeT/S8pX2X8TrSvNjTvlsMKGhmpXS0BrNbhdJtMrKkAaEUiL7m77LCNs/+y9/gY1/YIHWF0mkurrTYycf7ynW83LVP1jQPrLXolsssu3Gle4Ur29XvyWpZHmuf0rOsn1QvpJVhzu27BAbmuDs9g0wtlQsjWESB0e12D38wjIaRhXh9Jt9/OMhosPc6OGzf1fOmHGK1LjiUBkth/y34jiNdrSafb5OxrPZducusthM26kopRygQHOR279gfBd7l7gXwzvq/J70PeB2wtfcTT1OUTq4pncFNUBTBYz/CHz30PXzuxvgCPFpTGqavKV3vVN//wur+F8gkStmJjMFg/HULr/YsnBZK22lCq4TtPYOL+nmPFMcmXvFL4gjK6slxb/tuzya+Z7nnxqIsKMywRobSYftuFTaq9t2G/ByXvpzB0x/je+J38yt/8DESBjCLCdIL6L7VjBvlOiv132GndNL24WtK71ttcZMO9xReh9LqZnnu7bszVKTVutJ5D8kKRAxwuoMB/chI57xvqsxObFWl9IxO/dYAACAASURBVPrmrZPb97NdT7pOsnMz+f7DLV8mr50AO3VFNplByJDFtj7xu7gS77/bwXG0Vu+hdGPbW6yofVfuMqutmM16TelRutYOcruhdMndhyW+J4H7Jz/o7pvufrQr1gyFrApzpRvxLEIpwGM/QvHQy9jYydnYqdqF+kdo333aPR3e83dfxWPP3X+rhyzKqjWlEy1QhffoeDG1fbedRmSlsb1nLc1O0SN1J0rGN35VpbRu3+3vrobu2DjUFr43lObkLEaltDHtu7Xk0R/kol0nfPBXySzHZjGsawFdWGlxxde4WFSDTpbcSZaO1r57w5c4XxRc6V7hqXrt8ZIHWJT/162qGuVzXo+cEMgNbvaq55dM6/wWRmyBHOPmEUPp1s51WmVJ3J5VKB1WSnd//+1e9Rq4QqkcZr19fvT28gkHswCsdVpcZ4kda8gcC5EZWm2Pt4SJTjuUmtmbzeyPJ/8BfO/DjvuNzex7zexxM3v88uXLx/30fSVJRuHGgJg4zC5UPbBe/c/+/I0qhx+lfRfgOfetTN02Ig1VKM0nQmlJj/YB7budNCZxY3vP1MGdvAqlkxOH0xBRltWNYK+/u2C9E41Dbe6716eO1pRa80Lp6EZ8tKa0QZVSgGe+iu0LL+K/id4BoPbdKS6uZFxljQv1nqOt0mm3Dn+1O40jBskKF/IBV3eucr0OpZ1w8lfKz4rhtjA+53V1od5L8vpO9YJYFikoLIpgEYXBja0jhtLeDTruJEuzad8NUT0BeLD72tXtVy+AKJTKYdY6F0dvL59wCwuAtXbCH5VfwsfCc2azVZhIg6y2Ep7yZQYeSI7QtXaQQ0Opu/+iu7988h9gw8yGz/wXqaqlx+Lub3P3l7r7Sy9cOPnG8QBZErNNiz4xaTy7J4YH16sf9bPXq4veUdp3D5OFFj0ziokLq9vB7butJJCUEdu+ZxR+0b+1UhpHlMNK6Z4tZLaj8eeXvru114s+udlowmGT3FIp9XQ0cKoRzOi85od50K5W/zmLddEL6MJKVlVK8yqUJmVEZ8ra7b28tc7FvM+V7Svc6N0kckhncFNyViRLVTVq3pXSmJjS4Pp2FfxbCgoLI7ZAbsbGEUPpZu8my2VJujSrSmn1uz3Id4fSneGa0hm0Y8piW18eN/ctZye7iQZY76T87cHf4e3tbznx1xJpmpVWzK8UX8d3D36Edvtk1/rbvWN/D/A6q8ppbwB+x8weNrPfPNHRnFAWR+yQMiDMZMrf0ANrdaX0enURHLbvnuR7ZKHNjkW7Qyl9Wj59S5hOGkjKQJfdm4b3isGtldI4ovTq4j2cSghQls52KOnU28UU7F6fWtatwU1cU7q3UrpDA1tpHnktGysPAxBi3cjvp5UEetl57i2GoTRMHSi2V9Re53xRspVvcWXnMu3CTrxx+lnSXq3a0iyd7+/OcN3fte2qC6aloLAw4iiQAze3jjboaKO3yVLpdFbvOfzBRzDc8mWQ711TWoXSLN5/+YvI0OrSA6O3ZxFK19pJ/bU00E3uPq0ksB2v8Ufl86fuOHJUt3vH/lbgh4FPAL/l7h8FloHnnuhoTihLIrqekhMTn3Az5EkXVzJCZHxuVCmt2ncPWlN6mCxusxMZxWAcCt0GVSidsqa0kwZiD/TxXRuH98sBibMrlIbI8DqU9iZC6c5gwEaA83X/d2G7Q2me19vLNLF9d781pQ2ZvjsSRSy95ocAeO5D9875YM6uZPUCF+tQGpeBTna039dk+dwozD7R/TRLJQsVSjt1KH3GxdlUpW5XXIfSp7auANBaoBbpu11sMYUZW0ecvrsx2KJTliytnT/8wUcQ6snSt4TSevBRkiqUysHizj2jQXnL2clfLFmthxutaPKu3KVW662Qjtq1Ns1tfba7XwZevud9HwResOd9j932kd2GLA50yYjwmbbvxiHi/tXWKJTmxbBSevvfo5W0GZgxqNfBuHsVSkufepPcSgJRGYCCbt5lpd7Gol/WldJ0T8ueVSG1P9HmtLN5k+tRxL3RCp/2TQbsHppUDENpAze792Eoryul256d6IWDeYm+7Fth8wmWX/D6eR/KmXV+dZnlp6rzHTw+8qtz7ZXz3HO5CqWXdz7NpdKxBdmjFIB2tW4vmXOlNK6H0dzoVq3orSndH9I8oa6UdrtditIJ0cHXwc28y0PurMwolMZRBiUM8j1T5evrXJboBRA5RHudtbJgI0SsdE7+exmHiJUs1uRduWuttmOubPaO3LU2TfPu2A+QxRFdUgYeZlophWqPw+G2MMM1pYddjA/Sqquh3UE1CKRX9MCg7Q5TXuntpIFQb/OyPRiv5xmF0j1biHi97HdyTWlv6zrXQ+Cees+4wnavTx3U28dYA9eUEnZXSgdRi7iBoZSQwNf8ICxfPPyxd6mLKxlJUd18WpEc+dW5pfVx22+v3GK1LIlOuDD/TKmn7857mvAolO5UobSzQOt273bBAoUZgYKrW71DH79d9GiXzj3razP5/nE0fLF1d6W0V4fUTL9rcpjWGutldR+31J5NR9KF1Yx7ljRlXO5Oo0rpEbvWpmlg8piuWlOa0aE30zWlAJfW23zg01XY6RdOGqITTVlr1xfOYcvRjZ0qZB48fTdgZXXit/NxKB2UOWvuJOnuG9GorpT2JvZz2968ymYUsZaskfSNPCp2fU5Rb0geRc371RhNq60rpaXWZC6sC6sZyc4K7XKDtUHryJXStXMXOF+Mf+dXy/LE+2qdKa36xn/Ok5vjes/gjV71t9hZoBbpu10SxeRAQs6VjT4XVw5+nu36gKSMOL88m+fjOKSQQ2+wf6W0lakqL4eIM9ZKw9xZWprNoM23fddLRjfmIneb1fawfXc+a0rPpCwJbHqLHslM23cBHlhv8YUbO5SlMyjKE7XuArTr4DkMpTfrUNoqHabsm9VKAubVie9OvEo88ILEnZDsvuhbVFWSJl9RvrbxBQBW0nNkBHIrKMvxDj/5MJQ2sVI63Ju2e50Sm/uNuZyeiystdoo1/vA/f4aHdlaO/CLUPecvcq4oR3tYrZcDogVs3yWe8z6l9frum/0bACwvUvC/y4V6+m5CwZXNwyulO+TEZTwaBnNScT3Jeae/u1LaL/pE7qQKpXIEaxZYcidqzWaromdfXOHiql4Il7vTcF31Sdt3G5g8psviiP81/xY69PiZGbfvPrjepl+UXNnqkRflidtCO1lVOegXdSjtVW28B0/fjaGoK6WT7buek7qTJLtvRK3eG7BfjG8crm9VoXStfZ7sqcAgcnp5Sbt+daOoHzvcoLxJbFQpvcEgapHFC/XrLRPuW8247GskwCA6+mCTey9cJAZWSLlJn3vKAWQLVMVr1wOO5jztNq5D6WYdSjvZbFo3Zf7ikFIYrNo2lzcODqVFWdAzJ/aE6ATLXSYl9fN8b8+WMP2iV18H9WKkHO4x2qxsXoXWAi3fEJmTWVVKF+quPYsjPuzPBCCZ8VYgk9vC9As/cXvwUn0jvDMKpdW/D9sShrK64O5q3/WCxCFJdp9Oi1pE7rsu3tfrLRrWOhfJLKYfOb3BYBRK8yavKR2uo/OCfpQ1b/KuHNnFlRYf8SroDMLRQ+nK0hJdT1ktY25GfVbLEhapUrpyP7zuf4YvfsNcDyOJUnDYzDeqw+oolC6KkLTJMe7jqUMrpcPrVMLsgmJcdwT19gw6Gu7XHacadCSH+6b4PN/0+U/CDLaEEbnbDYd8zWX67lmVJeOEnszoVdmhS+vVhfBz17sMipL0hO27S/WEwGEVc6M/XFM6fUuYVhJw3y+UlgQ30j1B3OIWmfuuSunN3jUAzi3dT2YJXTN6O9uwVP18eVFN4w1R8yql0cRwl741cI9SObKLKxlXOX4oNTO2omVW8whSWCnLhdoSBoCvePO8j4A0ZJDDdrFF5E5H1YiFEUcp/ZDwtHCNTx5SKd2qtyNLbXZBMQnDAX67v/egHJA6xKkqpXIEw7bdRXpRUmROvvrhe/mLJzdpnbAYtFihdCKEzHrQ0YPr1UX1czd2yIvyxJXYlay6ke7VgXGzrpSmblMnZ3bSQFFUH+v2x3uPDiiI3W4JYR5Skj2hdKP/FAD3rl4is5SuGYPuJlDt1ZWXw0FHzQulIQQGHkisYMdaZHHz9lqVo7m4mnHFq6BTxMfbl3AnLLOWl+NQqpuSmUuGodS7tN3J2lrntyjiKKYbp3xR/BR/fFiltF5mkobZnf+k/nvfP5T63LdDkoZorUG6ApHuE0RO6tHnXuDR5558aNjihtIZV8nW2gntJNSVUic+YSV2qW4x6pd1KK0v3lmUwpSpvkmIcK8uuNv9m6P3Dyule4O4xSmZO716eBHARr0FzYX1h8iijG5kDHbGAbfImxtK4xDRJyahYAdVShdZJ43ZSqr95copg8Gm6SdrrNcDxlYXsVJ6BiRxC3rQpUendNKWQumiCFEgDwkPRE9x+ZBQullfb2a5TUtah87J6xpA3+tQmimUyhE8/Gpo4C4DIotsoe7aJytjJw2Ne5kZl9ZbfO56l35RnrgSuzIKpdWFdaueJJhFB7c5hbpVsdvbGL1vgO/fvhsyUh9/D4DNYpNW6awtrdIKLboWMeiOQ+m4Utq8/baSYPSpwvQO6S3/P2SxdFe+iGu+zJX2M4/1eZ6tcu+galOvKqUKpbOW1tsxdRnQ9pKgdX4LI7aYIkq4UF7mykb/wMde7w63BJpd+3YSqt+lQbE7EOeekzikiYKGHMGL/iv4q78w76MQkQkLddeeBBsVGWfdvgvVXqWfu7FTrSk9YeBp19Mx+17dHG/X27Zkh+2tGXWI3NnuV6G09JLCnODRrZXSJKvXlA5G79sst1kpnXYSaIU23cjI68m/0Ow1pXFUVUoBVUrvAu3Ve3lx7218du3Fx/zEdZ4+qIZ/3Vuoffc0pPXzmxu0S5+6JEGaJ0SBPAoslxtsbtw88LFPXn8CgKXWuZl9/yyt23cnrmsAgzqUZkHtmCIiTbRQd+1m1brKEBlhxpVSgEtrbT53vUs+g+m7rTp8DoahdDAMpYesj4vbdNzp9qsg2R/uK+rRPoOOMlJ3ehOV0i3vsVxUrb6tpEPXjKI3HpqUl3UoDQ0MpcEY1KG066nWlC64iyvV39BxR5DHS/fw9d0NXvqpV/K0PK/WFclMZcm4Mtp2n/sWNTI7VaW0utakO18gL8qpj71640kAVpfOz+z7J2k1VX6wp3134AWxow4ZEZGGWrhn7ywOM2/dHbq03ubyRo/NXn7i7zEMpf09obR1yPo4j9t0ypLteq3OsDU38oh0nzWlqTv9cvyK8gZ9lorqce1kie0oothVKa2+XmzNbN/teb2Pq6faEmbBXVypqm/HHUHeWjnHGl0e7NfVO7Xvztzki2tVKFWldFHEUcygbkm6n2tc25rewnt98woA6ysnH4AxFJJqgF9e7q2UVgP/FEpFRJpp4Z69s/jWcDYrD9Tbwnzmqe0TX/iyegPwATkA3Xq/0tYhN8iWtOiUPppquKtSuufnDnHVvtsr89H7Nq2g7cP9hJYZmDGYDKX1Y6MG3kROtu9ue6r23QV3cbX6HV3Kjlcp7ayeJzLnfqu2R9Kgo9lrZeNQmpVMHd4mzROiQEF1Ph/gKk8esC3MxnY17f3C2gOz+/5xSgIM9rTv5hQEP50uKREROX0Ld9feSgLxCfcQnWa4LcyVzf6J23cji0hK6FMAsJPvkJVOlB5cKbW4Tdudbr1P6fDCHHkg2nMxTpKY2GEwEUpvRiXtsqomdupNo7u966OPD0NuCM2slA4HHW16pvbdBXff6rB993iV0qW1qpXwkl3FMTjkb06OL5vo+MhcIWGRxFFMUZ/S++0aVw6YwLvZu0lw5/y5+2b3/ZOMxJ2B57veP6Ak0e+aiEhjLVwozeJbB/7MygNr4yFEs2gRTt0Y1KG0V+yQOUSHDF2xtE3by9FgpFH7LrcGsDQYiUOvvnjnZc6WOVm9rcxyvaH9zkSldJAPBx01L5SGiUrpVpmojWvBXRi17x7vxYeoXQ1dedCuMIiXVMU7BWnaJnav3nb9HS6SYIG8LCha93DJrnL5gErp9mCDTumjF4JmIU6Sun331lAaFu+WRkTkrrFwz+BZcnqh9NL6eFjHLPZB3RtK22VJyA6u2oS0XbXv5tX00GFl03yfUBpHxG70vPoeN/s3cTMyqp9jqbVWfY18Ys/T4fTdBlZK42D06zWlm6XadxfdsHNhvXPMoVztdQAucZUiVpX0NAyrWaBQumjiKCb3HFt7sK6UTl9TupNvseQlVl9rZiFJMhKHQbm3fbfar1tERJpp4e4WsjiQnFL7bisJ3LNUhbVZrFtNiOhTTS7sFT06XmKHhNIordp3t4s6lNaV0rBPpTQJVSgd1KH0+k7VpptRfY+V+ua8l0/uU1pd6JPDtqY5g6r23WGlVNN3F93Tzy/xf/2tr+Qbnn//8T6xvkG+365RHDJYTG5PnLZIh6F0n+cmaa7YYvIyJ1p7kAejpw5s3+2VXZbKErLZ7VMaJwmxO/ne9l1zwj4vzoqISDMsYCg9vUopwKV62NEsgm/iEX2rbtwG5Q5tL+GQm+SQdeiUJd06jI7WgHLruro0jggTldLrm5+v3h9VNwirrapVuD8RSoeV0jg0ddBRVTXroum7d4NXPfcCreSYN6Kt6sWYxApc28GcijjNRqE02ee5SZorRIGiLGD1Eg8c0r7b8x5tNwiz+x1IghEDeX1dGxrgat8VEWmwhXsGbyfhVNcSXlqrWgbjGQTf1CP6VlVK82KbljukB+9TGqedqn232B1KbVooLSN6Xn2P65tfACALVaVoua7K9uvJvzCevhs3cPpusmuf0kztu7K/yVZCTd49FXGSklaZlJTm7Xks08VRTOEFrD7IOhvc2Lg59bF9+rRm3L6dhqga4Lc3lNr+HUMiItIMC/cS9g987XPY6uWHP/A2DdeVzqJ9NyaMKqV52aVd+qGTQNNWh46XbNdttqNKqe0TSkNE5OMW4evbTwCQhXsAaNcb2g/KcSgdTupNGxhK4yhiaxhKUfuuTJGtUFog8oLQVqX0NCQTldJ0n+cmaa7YqlDqK5eqjWFufm7fx7k7A8tp+WzPfxyqDqBiIpSWXpJbdU0VEZFmWri7hRc9bf1Uv/4s23dTYvr1lym8V1VKD2nfTVodzJ2ckkExGK0ptX2qEVX7bkQfx9253r0KQCvdHUr75c7oc4qiCqXJDNut7pTJQUddMk3flf2ZVYNXutfoLJ/u88XdKsna4/Zda94LXDJdiKrgl6/cTwKkW5/f93Hb/YK+lbRstpXyJBixV4ONhoZDj/ZbxiIiIs2gu/ZjemCG7buJBXrDUEodSg+plLbThLTeJG473x5Py93nwp+EiMgDTtWWe717lbR0kmxPpdTHa4KGldIkat4rzkkYbwmj9l05yGgaaKb23dOQJONKaWbNm+Qt08VR9Rybr1YDxpZ7TzIoylsed3WzTy9ylqLZDs1L6krp5JrSYcdQpFAqItJYums/pmH77iyGKSUk41DqfVrl4WtKO2kgqdfodPPuePruPjd+aYiw+rG9osf13lOsl8XohnxUKfXxSP/hRMM0NG8dWBzZ7kFHCqUyTT15mkP2BZbbE02E0jRSpXSRBKtesCyW7gXgAbvG1X22hbmyucNO5LRnPMm9CqW7K6W9olcfm0KpiEhT6a79mIbtu+kM2ndjYnYig7KgsEE1ffeQwSvtNBCX1U3B9mB7/ArxPjd+aRxh9WP7ZZ9rvZusFyVRPZ5/XCkd7/eWl0X9uQ0MpZOVUjKy405llbvHsFKqQUenI0pIqUNpaB/yYGmSYaW0iDP66frUCbyfub5BYcbKjLddCpERebS7fXfYMaShWiIijaVQekz3rbT4Ky+6xMufdf7EXyuNUnpmUPTJyWm7Q3JwpbSdBKKyDl55d2LQ0f7tu1bv29Yv+jzV32C9LInq4S5xFBM79G08GKqoK6VZAyulycSa0h1XpVQO0FKl9FRF1YRUgEyhdKHEdTVyUA7Ilx/gfru2716lf/qZaq3pPZ3Z7VE6FDDy+kUPGO/XHUfNu26JiEhFvS7HFEXG//amL5/J10otZceMQX8LN6/bdw9+VbmTBkIdSqs1pcNQemulNIsjqCcf9ooe1/NtHilL4omJo5lHDLi1UtrENaW79ynVmlI5wLB9V5XSUxN71U2iULpYhoOOirLAVh/kgSuf5CP7hNI//8xfQgtWsrVbPnZSkduU9l2tXxYRaSrdtc9REqUUZtwcTsU90qCjgNXVwO3BNv28mpwbhyntuxOh9EbZY6WALBuv8Uk9jPZKBSi8ILjPZM3snZYE4+P+IE8kT2ODjqbvynSjQUeqlJ6WpA6lrRm3b8p8jdp3vSA599C+7bt5UfKZy58FYKk1+1AaiHZVSgd59f1jhVIRkcbSXfscDQeAXN68DBwxlCYBK+tqYN6ln1d7jO63pjQJEdRV1V7eY8P7tItAe2KtZeKBwcQrzrmXBJ/NdOE7LQ4Rv1u+hB998JcZEGufUplu1L6rSulpGVZK24n+Hy+S4aCjvMyJzz3EedvgqZs3dz3m409sEpXXAei0Zr/tUkREMdm+O9gGIA4KpSIiTdW85LFAhqH0ynYVStteQnxwq1snjUehdDvfppd3SUvH4n2m78YRXq8pvdK9QglkRUwnHXdtp8T0ovHFPfeCQDVMomni+pg3e/W6WFVKZZrRoCNVSk9LqCd/txRKF0pSr9vMPYfVB6u3n/rsrsf86aefohVuALDUvmfmxxA8Irfxdas32AIg1qRnEZHG0l37HKWhaqO9tn0NgJgEooNPSTsJeFldeLcH2wyKHimORbeG0iQYXrf6Prn9ZPU9i4R2Ov4eiSXsGJBXa1MLL4h8HPCaZNhyvNWvQ2miX2+ZYv2LAIPli/M+koXV8oilsiTODh7eJs0yXFOalzmsXgIg2tgTSv/yOsW5T7BSlDzn3BfP/hiIyCf+e1wpne32MyIicuforn2O0roqeq1bh9IjrIdpp4FyGErzak1p6g77bOGSxdEolD6x/UT1PYqM1mT7LgndyKC+qBdeErsRz2DLmzttWN3d6lXDmtS+K1M9++vg+98H554+7yNZWG/YjPjZJy4TUg06WiSjfUrLAlYfAiDZ+sKuxzz+6U9xpfNp/sutbToPvGjmxxARkU9conp9VUpFRJpOoXSOsriqIFzbqdbeJEcIpWkcUZIR3OstYXokPqV9NwTKPZXSqGjtWlOaRhldi8ahlJKIapJt0yRB7btyRGZw73PmfRQLbb1M+IqdHiFVpXSRTA46YvUBADo7T4w+fmN7wOfK36M059uWn3Mq67YjArmBe9XC2+1X168kVqVURKSpdNc+R+1kdyhNo6NdUPMoo+NeT9/tkbpj+wx4SGKjrNefPjF8Jbto004nQqlldaW0GpiUe0nkDV1TWrfvbtehNG3gsCaRRVHUaw/jliqli2S4T2le5pAusROvsp5fppdXHSrv/8srZOt/zCu2uzz94a8/lWMITLQQMxFKtf2QiEhj6a59jtK6UvpUv5pcmNgRQ2nI6JTOdr7NTh1Ko30rpRGFV+9/sm7fLYul3dN3ozbbZpS9qv2pqpRaI9eUDo95q1+QhoiogT+DyKIorQ6lqpQulGGldBgId9r3ccmucXWzmkvwjk/8NiSbfPvNDXj4NadyDFG9xfqgrPbY3qk7fdJDBgWKiMjZpVA6R520amu6MdgAIDniBbUMLdplSXfQpVf0SJ0Dpu8O23cvE7vTL5d2rSlNQ4uuRQx6m0C1prTaEqZ5gW5yb1W17orMV1lXShNVShfKaNCRV6F0sHyJ++0qVzarvUL//dV3ck8e80o68MALT+UYorpSOg6l1X7dSaIXQEREmkp37nM03FT+Zl5VKdNwtAtqGVp0vGR7sEm/6JNMqZQmISL3avDDZr7FWlGyTWdXYMviJfqRsbNdh1KcyK2Ra0pDZFidpTV5V2S+RqE0O3jvZWmWXYOOAFt9kPvtGpc3enzs2sfYtI/xps1twrMeg+h0hs0F21sprZafpIl+10REmio+/CFyWjr1AIjNsrqgZunRBkJ43Kradweb5EW/bt+9depgGiKKchxWz5UFO9EyZuMqaBpXF/HN7ausUbfvujVyTSlAEkX0i1KTd0XmrKy3qUpbql4tkuE+pYVXoTQ59yBrdpNrNzb4f7/wq1AGvv3Gk/A1p9O6CxOhtKhCaa+ulGaJqvIiIk2lctIctbMVADa9fpU3PuKUwrhVDzraol8Opq4pjSKjtBSrJxSuFSX9ePcryVlSH8NOta61wDFsNMm2aYZtx2rfFZmvYaU0UyhdKMP23WGVsnNvta3S9csf53c/826esXEv62UJD7/61I4hqtcrD4+hV/SI3ElVlRcRaSxVSudoqbUKQJc+aemEzsqRPs/j9mhNaSgKUndCsv/+bB5lpO70zDhXlgz2hNJ2Wn3PrW41ATiv23ebWikdDjtKFUpF5spDFRwiDTpaKFmorjU/94Gf48r2FV67cp4E+I/X/w2Dcoc3bST4vY9gaw+d2jHsbd/t5z0yd6Ip10ERETn7dOc+R+3W8qiK2fISO+KrvJa2q0pp3j2wUgpQhpS0+hasFSX5nmpsO1sDYKtfDVsqvaqUNnFNKYyHHalSKjJf51fr5xrtHblQnr76dH785T9ORMRP/slP8pp//+O85d57+ED+J2T50/nrg09gpzR1dygMK6V5NVypV+/XnST6XRMRaSrduc9RmnZo1aG07U50xDWlVq8p7RZd+p6TAkkyJZRGKVn9PdbLgiLdG0rXAdjpV4OOcmt4pXTUvqs1pSLz9NC91XOLQuliiSziWx/5Vn7jDb/Br7/+13njs17Hv13qcD3a5L7LD5HSP7WtYIZGldK8WvoyKPukDlGq3zURkaZSKJ2jNGuNQ2npRK2jhLtoxgAAGvVJREFUVUqjtEPbS7pFj0GZH9i+S0hGofRcUVIku1uEl7KqhXh7MNyn1DFv5j6lwKjCq+m7InMW0uqfhnZdyMHMjOeffz4//oqf4P/5zHXe9Jkv4vWbN6u1xM94xal+7ygaVkqrUNov+mTuxGrfFRFpLK0pnaM0HVcxW+7ER2zfDVmbTunkXrJNtSVMnE5ZUxoykuGgo7KEbHcoXa6D8E4+DKVgREQNDaWJBh2JnA2PfBNMWVYgi2WQXOQrtro8FH2a4sGXEaWnO3Ao1JOdB3k1dXdQDqr2XVVKRUQaS6F0jtIkkJXV2y13Qutog45C2qbj1Sfu+KCulE65+QvpRKW0wLLd7burWTWEZKd+xXm4T2lTxaM1pWrfFZmrZz1a/SMLr9u+n+d3P8aDdhWe+1+f+veL61CaD0NpfR2MM4VSEZGmUjlpjtIQkU4MOkraR1tTGmcdOqWPv84BlVKbCKWdMiJJd+/jtlpXZ3v1xT23qlLaVJq+KyJyZxXLD1SBFE59PSlAHFXXu2GltF/mZKqUiog0mu7c5ygOEWldlWyVfuRQmrSWaPtkKGXq1EEP6Sj4pkVGK91dQRyG0q5XUwxLIGrwr4Wm74qI3Fm29iAAO8k5uP/LTv37xaGqlPYGw0ppToKTTXlxVkREzj7duc9ZWrfvtt2Js6OG0jadshx/DXeSaZXSJBuF0lBktJPdoXRtWCktqlCaA+bN/bUYTg1WKBURuTPuffBhAMpnPnZHBluFUL0IuzOolp3knhOXRppo2YaISFPpzn3ORpVSdzjiljBptrtSmriTpvuvKbW4CqWRO2XRuiWULmcZwaHvfQAKA6O5F/bRoCPdnIiI3BGrF58OQOd5X3dHvl9SV0r7wzWlFCSuZRsiIk2mZ/A5S+qqZLt0SDtH+pysvbRrTWlwI5ky2Ge4pnStLNnyDu097btZHJGWRo8cqCqlTW7fHW0Jo5sTEZE74xmvhG/6R/Cl33JHvl1c733bG1QdPgMvCW6kQc/7IiJNpem7c1aFUqflJRxxjH67lZGU4wm5wW3qK8RRkvHC630SYJP7b6mUxiEicaPnOZRlXSlt7oU91pYwIiJ3VkjgZd93x75dEoahtB7QR0FwGy3fEBGR5lEonbMEowqlDskRQ2kSCOX41EUeTX2F2OKU77q5AcC/4Hm3VEoBkjLQYwDlgKLapfT4P8gZMRx0pDYuEZHFlMbVFPnhLIQBJYkbZgqlIiJNpTv3OUu8ColJGUE42msE7TQQ+e5QmkwJpUmckNenedPbt1RKh8fQsxLKvNoSxpq7HjMeDTpq7s8gIiLTxfW0+X4+DqVBtzMiIo2mZ/E5i+uhQvExitadNGBlMvrvyMPUtqU0jhhQPXaTNq19QmnsMT2GodQaPuhIa0pFRBbZsFLaz6sBfTlO1OCp8SIiolA6d3Fd8Yz9GKE0ick9Ja4n9x60hUsSIvp14N309r7tuzExOxGQ9+tBR80NpaM1pYl+tUVEFlGStIjcGZRVKO2bE3tzr1siIqJQOndJHRgD+2/psp9WGrFDSrsOpQeFyCyO6NeB9yadfdt3gyd0zSh3ruNmWIOXGo+n7+oGRURkEYUkJXFnUPQpvRrQ1+RZCCIiolA6d4nVodSOHkrTENEjpVXvChMdUGVN44j+sH3X23T2rZSmdC0i37lefb0GrylNNH1XRGShRXFKAvSLAYNyAEBocIePiIgolM5dXAfGYNmRP8fMGFg2CqUHXYyTENGrQ+u0NaXBMrYjG4XSRg86qkOppu+KiCymEGfE7gzKwWgC73HmMoiIyNmjO/c5S+oKabDWsT5vEKW0yyqVRgdcjHdVSpmyptRadM3Iu8NKaXMv7mrfFRFZbHGakLiTlwP6RbWu9KDroIiInH23FUrN7Flm9n4z+6SZvWWfj/81M/szM/uImf2PJz/MxfXccp3vuLHB01g91uflUUbHDw+lSYgY1JXUjSlbwoSoRS+K6A8rpQ2+uKt9V0RksYU4I3EYlDmDYti+29zrloiI3H6l9MeAnwIeAd5oZl+y5+NPAY8CLwBebWbPv/1DXGztaIkfufYUUVg61uflUYt2WQAHh8hbKqX7bQljHQC2dq4BEJpcKR1uCaPpuyIiCykkKQlOXuaj9t0md/iIiMjth9JHgXe5ewG8s/7vEXf/d+5+rf74p4FzJzvMxeWhat8tks6xPq+IW3TKEjh4SFIWIvo+HnS0XwUxjqtAvFGHUmvwxT2JhpVSte+KiCyiJM2q6bue06+3hYktOeSzRETkLLvdULrk7jv1208C9+/3IDM7B7wQeP8+H/teM3vczB6/fPnybR7GAqhDqcfHq5SWocVymVdf4oCLcRLbqH13kCwR1aFt12PCMJQuwJrSYaVU7bsiIgspTlISh8In2ncVSkVEGu3Q9GFmbwbevOfdvvdhUz79F4B/6O7dvR9w97cBbwN46Utfuvfr3T3qUFoes1LqocVSHUqjAyqlaQj0SMiJiZP2vo+JwwoUsNG/CYBFzQ2lIdL0XRGRRRYnw0ppMaqUhujo26qJiMjZc2j6cPdfBH5x8n1m9nEza9XV0otU1VL2POaHgC13/6ezOtiFFNdbwaTHDKVJi3N5QeJOdMArxNWa0phN69BO9z/dSboMfdjsbwAQRc19xXm1FRNHtu9+rCIi0nxJHBEcej5eUxofY1s1ERE5e263JPYe4HVm9q+ANwDfbWYPA//I3b/ZzL4eeB3wDTM6zsUV16/upsvH/Lw2335tgy/vOoN0+ivESTAu+zLXWKM1ZfhPFq8DcHOwDTS7DeqbX/IQX/bQOp0pAVxERJotDRGxw5YX9PNqJZEqpSIizXa7d+5vBf418DPAL7n7R83shcBz64//bP2132dmAL/u7j99wmNdSFHdvmvHrJRa0mKtdF7W2+D32wdXSv+n/Fu5L/T33aMUIGutAbCRb0No9prSThrzwqetz/swRETklCQhImDkXjKoX0yNgyqlIiJNdlvpw90vAy/f874PUm0Bg7s/cvJDuztYUl1Io/R4g45sYn2oH9Bum4aIa6xyrQdfsc92MADtpKrSbhQ9CBCCXnEWEZGzKQ5GcKOgpFeH0iTaf2aCiIg0g6bBzFlUrymNWsdr340mQ+kBIXJy4E9rSihdqocsbdQDI5q8plRERBZbElVrSnNK+qqUiogsBIXSecuqMBq1j9dyGmUTrwofVCmdCKXtKaF0JatDqQ+3mFGlVEREzqYoqiqlOSXd/jCUtuZ8VCIichIKpXN2/f5X8v39HyC/8KXH+rwwuQY1HLBPaRif4mkTaZfrSukmJQDRAV9PRERk3gK7Q2kaK5SKiDSZQumcXTq/yrv5au5bO956mKQ1GUoP2qd0olI6JZQupRnBYTOqHqsphiIicpZFHpHj7AyqbdCT+HjDAkVE5Gxp7pjVBfGip63zgf/uv2CldbzqZJy2J/9j6uOOsqY0SwJpCRvDUKq1OSIicoZFbnUorbaESZLjDQsUEZGzRZXSM+C4gRQgaY0vwAe12+6qlE4Jpa04InUbhdJY03dFROQMC0QUVlVKgztJqum7IiJNplDaUOlEKLUjTt+dFkqzJJCUEZuRAeO9U0VERM6iiKp9t5/vkLoTEnX4iIg0mUJpQ2Xt8foZS6aHyOQIa0qzOCL2CLcqlMaxLu4iInJ2BSJyg518h8R9tL2aiIg0k0JpQ2Xto1VKk2Cjt6euKY0j4nL8Ma0pFRGRsyzy6prVLXbI3AmprlsiIk2mUNpQ2eSa0gNeITazUQvvtC1hsiQQTYTSJNLFXUREzq5Adc3azrukDiHWmlIRkSZTKG2oTrtN6fUa0AOm78J42NFBg44iHw9LCmqDEhGRMywahtKiat+NVSkVEWk0hdKGamcxO1Rh9NBQWldKWwdWSse7AyWJNiEXEZGzK1jdvltW7bsKpSIizaZQ2lBpiNihqm7Gh0wdHK4rnTp9N46gTCYer+m7IiJydkX1Nuvdsk/qTpzqxVQRkSZTKG0oM6NPFUaPWimdFkrjyKAcf430gH1PRURE5i2yOpR6nwSFUhGRplMobbCeVUHysKmDozWlU9p3zQxjfEFP43jfx4mIiJwFo0qpD8jcSTMNOhIRaTKF0gYbWBVGwyGV0uSQQUcAxjjYppFCqYiInF3xsFLKgNQhyVQpFRFpMoXSBhvUW7ccNuAhiw+ulAKYVa8yB3fiMP1xIiIi8xZZtczEgaR00ljLTkREmkyhtMHyYSg9ZNDRYWtKAcw6AASHuB6MJCIichYFG3f0xG4kB1zfRETk7FMobbDiiJXSYftu64CLdmRLAATqwUciIiJnVIjGldHYbTQ7QUREmknP4g1WhKNXStM4IhwQNi0sA1Wl9KDHiYiIzFuIxrMUIrfR1mciItJMCqUNVoRqsENyhErpQa27AFE0WSnVr4WIiJxd0UQojd0wUygVEWkypY8G8/hooTSNjxBK49Xq31pTKiIiZ1w80b4bXLcyIiJNp70/mqwOpekhofT5l1YpCj/4SyVVKA2uNaUiInK2xWF83YvQkCMRkaZTKG0wj6ttXJL04P3Z/tvHnn3o10rCKpQQYVpTKiIiZ1ocpVBWbwc1fYmINJ6eyRvs3ud9Df9p9SsJ8clfW+gk4y1hEk0xFBGRMywO4xdjg+v1dRGRptMzeYM9+1XfBq/6tpl8rXbShp4qpSIicvYlIYNB9bYqpSIizadncgGgHWdE7tWgI4VSERE5w0I8rpRGen1dRKTxFEoFgFYayMpqvzdVSkVE5CxLJgYdBYVSEZHGUygVALI4kHoEHrSmVEREzrSkHvQHECw54JEiItIEenlRAMjiiJvlOjd9WZVSERE50+I4w9xxM7XviogsAJXEBIBWEsjLFgNPtaZURETOtJBkJPX227EqpSIijaeXFwWoKqVF9yEoU2K174qIyBkWxQkJTh8jsnTehyMiIiekUCpAFUp7X/hmQNN3RUTkbAtxRuJVqTSOFEpFRJpOJTEBIEvC6G2tKRURkbMsxOkolAbLDnm0iIicdQqlAlSV0iFVSkVE5CyLknS8pjTSmlIRkaZTKBWgGnQEVZXUTKFURETOrhCnJNSV0tCa89GIiMhJKZQKMK6UqnVXRETOujjJiIdrShVKRUQaT6FUgHEoVeuuiIicdXGajNt3Q3u+ByMiIiemUCoAZPG4fVdEROQsiyam7yaqlIqINJ5CqQDQSqpfhUR7lIqIyBmXJNloTWkSK5SKiDSdEogA4y1hVCkVEZGzbti+G9yJE7Xviog0nUKpAFpTKiIizZGkLWJ3Uncs1j6lIiJNp1AqwEQoDQqlIiJytiUhIalDaZSofVdEpOkUSgUY71MaR/qVEBGRsy1JIoJbFUrjdN6HIyIiJ6QEIkDVthuZ1pSKiMjZl4SIzKHtTkjUvisi0nTxvA9AzgYzI4uD1pSKiMiZF0fGd1zfIQ99ikfUvisi0nSqlMpIlkRaUyoiImeemXFpYLy41yOkqpSKiDSdQqmMtOJA0JpSERFpgAEJALEGHYmINJ4SiIxkSaT2XRERaYTC6gF9WlMqItJ4CqUyksUKpSIi0gx5PRYjzlQpFRFpOoVSGcnioDWlIiLSCIVVoTRJFUpFRJpO03dl5PVf9sBov1IREZGzbFQpTdtzPhIRETkphVIZ+b5HH573IYiIiBxJYTE4JGrfFRFpPLXvioiISOMUVk3fTTToSESk8RRKRUREpHFKi8k9Ik2TeR+KiIickEKpiIiINE4RxfRJSGPdyoiINJ2eyUVERKRxSovpE5MG3cqIiDSdnslFRESkccooYUCMmbYyExFputsKpWb2LDN7v5l90szess/H/3sz+3D9z/9hZgq/IiIiMjOlxQzQelIRkUVwu2Hxx4CfAh4B3mhmX7Ln428HvrT+5znAV932EYqIiIjs8afLj/Ivo6+b92GIiMgM3G4ofRR4l7sXwDvr/x5x9w+7uwPngDXgUyc5SBEREZFJH1p7jH+WfOu8D0NERGbgdkPpkrvv1G8/Cdy/9wFm9m+B/wT8grt/dp+Pf6+ZPW5mj1++fPk2D0NERETuRuudhPWO2ndFRBZBfNgDzOzNwJv3vNv3Pmzv57n7a8xsDfgtM/uou793z8ffBrwN4KUvfeneryciIiIy1Q9/wyNs9Yt5H4aIiMzAoaHU3X8R+MXJ95nZx82sVVdLL1JVS/f73Btm9k7gZcB793uMiIiIyHGtd1LWO/M+ChERmYXbbd99D/A6MwvAG4DfMbOHzew3Aczsi+t/x8BrgA/N4mBFRERERERksdxuKH0r8MPAJ4DfcvePAsvAc+uP/2Mz+xDwfuBxd3/3SQ9UREREREREFs+h7bv7cffLwMv3vO+DwAvqtx878ZGJiIiIiIjIwrvdSqmIiIiIiIjIiSmUioiIiIiIyNwolIqIiIiIiMjcKJSKiIiIiIjI3CiUioiIiIiIyNwolIqIiIiIiMjcKJSKiIiIiIjI3CiUioiIiIiIyNwolIqIiIiIiMjcKJSKiIiIiIjI3CiUioiIiIiIyNwolIqIiIiIiMjcKJSKiIiIiIjI3CiUioiIiIiIyNwolIqIiIiIiMjcKJSKiIiIiIjI3CiUioiIiIiIyNyYu8/7GDCzy8B/nvdxnJI14Ma8D+IOuRe4Mu+DuEN0XhfT3XReQed2Uem8Liad18Wlc7uYdF5v9XR3v7DfB85EKF1kZvY2d//eeR/HnWBmj7v7S+d9HHeCzutiupvOK+jcLiqd18Wk87q4dG4Xk87r8ah99/T963kfgJwKndfFpPO6uHRuF5PO62LSeV1cOreL6cTnVaH0lLm7/vgWkM7rYtJ5XVw6t4tJ53Ux6bwuLp3bxTSL86pQKrP0tnkfgJwKndfFpXO7mHReF5PO6+LSuV1MOq/HoDWlIiIiIiIiMjeqlIqIiIiIiMjcKJTKgczsITN7l5l9xMzea2aXzOxZZvZ+M/ukmb1l4rE/Xr/vfWb2jPp9LzOzD5jZB83s++f1c8itjnlu7zGz3zezt+75Gt9pZr07fvAy1UnOq5lFZvbz9ed+xMx+Ym4/iOxy0r9XM/spM/uL+vn4t+fyQ8i+Tvg3e74+p8N/Pjv5eJmfGfzN6v7pjDrqud3vcRNfQ/dPe6h9Vw5kZheA57n7e83sB4AvAs4D7wTeAfx/wN8EtoB/CXwF8FrgO93928zsfcCbgQ8DvwN8j7v/xZ3/SWSvY5zbTwB/AHwI+LS7v7X+/O8C3gi83N2fdud/AtnPDM7rC9z9z8wsAf4ceNTdP3vnfxKZNIPz+o+BX3P3987h8OUAJz23e77W24GfdvfH79DhyxQz+JvV/dMZdYxze3nv49z9h3X/tD9VSuVA7n554ibmU8A54FHgXe5eUP0BPgq8Gnh3/b53A19Vf87T3f2D7p5TjYv+xjt5/DLdUc+tuw+ANwC/v+dLvAt4E1DcmSOWozjpeXX3P6vfvAT0gKt34rjlYDP4e72Hu2cT90aZwbkFwMzuBR5WID0bZnBedf90Rh3j3O73OND9074USuU4/jrw28CSu+/U73sSuB+4SH3DUz+BBjMLwJNm9hIzS4GvZfwHKWfLQecWd39y7ye4+9X6yVfOrmOfVzNLzexDwH8A/v7E58nZcezzCiTAr5jZh8zsh+7MYcptuJ1zO/SdwD8/3cOT23Q751X3T81w4Lnd53G6f5pCoVSOxMxeS9We8HZgb8+3TXkfwPcBvwD8O+AaVZuvnCFHOLfSQLd7Xt297+5fCjwf+Ekze/j0jlKO6wR/r3/N3V8MvBL4DjP7ylM6RLlNM3gu/m7gV2Z9XHIyJzivun864456bvc8TqZQKJVDmdmzgZ8Gvt2rRcgbZtaqP3yR6hWhzwP31o+PAXf3wt3/0N2/0t1fAQSqNRNyRhzx3ErDzOK8uvsXqNrJXnxqByrHcpLzWj8ed78OvAf4klM+XDmGk/7NmtlLgSfd/XOne6RyHCf8m9X90xl21HO7z+NkCoVSOZCZrVC1A/0Nd/98/e73AK+r23PfQLUA/3eAb6zf91r2rI0ws5cBXw783h06dDnEMc6tNMhJzquZLZnZQ8O3gVdQDdmQOTvp36uZPVD/OwW+Bvjg6R6xHNWMnov/FvB/nt5RynHN6hqr+6ez56jndsrjZIp43gcgZ973A88GftnMALaBv0K16P5ngF9y948CmNkvAx+jajF5Q/2+7wD+HnATeFO9oF/OhiOfW2mUk5zXFvD2OpCWwD9x94+c/iHLEZz07/Xn61ZsB/6Zu//pKR+vHN2Jzm1dnXktoLXCZ8tJz6vun86uI51bM/v7ex/n7l89n0M++7QljIiIiIiIiMyN2ndFRERERERkbhRKRUREREREZG4USkVERERERGRuFEpFRERERERkbhRKRUREREREZG4USkVERERERGRuFEpFRERERERkbhRKRUREZszMXmZmF4/wuGUz+9Qhj3nDzA5MRETkDFIoFRERmb0fBA4NpYcxsxj4H05+OCIiImdXPO8DEBERaRIzewbwvwM50AM+Drwe2AG+G3gh8FrghWb2s+7+c3s+PwN+Bfhi4L2A1+9/BPglYAn4NPBXgZ8AvtTMPgB8H3AN+KfAOvB2d/+JU/xRRURE7ghVSkVERI7vG4AfBf4X4Bnu/hLgp4G3uvu/AN4PfMveQFr7duC6u78A+APA6vd/EnjM3V8ElMDL3P1H68e+yN3/pP5+fxN4EfB6M3v26f2IIiIid4ZCqYiIyPF9wt0/CrwC+Nq6kvkPOFrL7ouB99Rvv2fi/c8E3mlmfwa8Eji3z+d+FfCbwH8ALtSfIyIi0mhq3xURETm+nYm3f87d/+Ftfh2fePutwDvc/efN7FenPL6oK6kiIiILQ5VSERGR2/eHwOvqgUSY2fn6/VvA8pTP+VPgNfXbr5p4/wrwYTNrAy+feH9pZqF++3Ez+6b6e62aWTKDn0FERGSuFEpFRERuk7u/D3gH8H4z+4/Ad9Qf+jXgn5vZD+zzab8GXDSzPwe+DbhRv/8XgF8F/g3wuxOP/w3gz8zsFcD3A3+vbhf+XSCb8Y8kIiJyx5m7H/4oERERERERkVOgNaUiIiKnxMxeBvyTiXd9zt1fO6/jEREROYtUKRUREREREZG50ZpSERERERERmRuFUhEREREREZkbhVIRERERERGZG4VSERERERERmRuFUhEREREREZkbhVIRERERERGZm/8f+7d+FPyQnukAAAAASUVORK5CYII=\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Within mktcap1, any difference in illiq groups?\n", "pfs = mean_portfolios_ret_df.columns\n", "cols = list(pfs[pfs.str[-5:] == 'size2'])\n", "mean_portfolios_ret_df[cols].plot()" ] }, { "cell_type": "markdown", "metadata": { "editable": true }, "source": [ "## FM regression" ] }, { "cell_type": "code", "execution_count": 71, "metadata": { "editable": true }, "outputs": [], "source": [ "def fm_reg(df,cols):\n", " df_ = df.dropna()\n", " if df_.shape[0] < 15:\n", " return [None]*(len(cols)+1)\n", " reg = LinearRegression(fit_intercept=True).fit(y=df_.loc[:,'exret'], X=df_.loc[:,cols])\n", " return np.insert(reg.coef_, 0, reg.intercept_)" ] }, { "cell_type": "code", "execution_count": 72, "metadata": { "editable": true }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
interceptilliq
ret_mean0.00064316.129001
t_values0.0867622.759881
\n", "
" ], "text/plain": [ " intercept illiq\n", "ret_mean 0.000643 16.129001\n", "t_values 0.086762 2.759881" ] }, "execution_count": 72, "metadata": {}, "output_type": "execute_result" } ], "source": [ "cols = ['illiq']\n", "temp = ret_df.groupby('ret_date').apply(fm_reg, cols=cols)\n", "reg_result_df = pd.DataFrame(temp.values.tolist())\n", "reg_result_df.index=temp.index\n", "reg_result_df.columns = ['intercept'] + cols\n", "reg_result_df.dropna(inplace=True)\n", "# Mean of coefs with NW adjustment\n", "mean_values = {}\n", "t_values = {}\n", "for k in reg_result_df.columns:\n", " y = reg_result_df[k]\n", " const = np.full(shape=len(y),fill_value=1)\n", " reg = sm.OLS(y, const).fit().get_robustcov_results(cov_type='HAC', maxlags=6)\n", " mean_values[k] = reg.params[0]\n", " t_values[k] = reg.tvalues[0]\n", "pd.DataFrame([mean_values.values(),t_values.values()],index=['ret_mean','t_values'],columns=mean_values.keys())" ] }, { "cell_type": "code", "execution_count": 73, "metadata": { "editable": true }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
interceptbetasizebmmomrevilliq
ret_mean0.0271920.000769-0.0013990.006144-0.000687-0.04748320.309522
t_values0.7610450.166110-0.9781321.336325-0.240611-5.4180594.784532
\n", "
" ], "text/plain": [ " intercept beta size bm mom rev \\\n", "ret_mean 0.027192 0.000769 -0.001399 0.006144 -0.000687 -0.047483 \n", "t_values 0.761045 0.166110 -0.978132 1.336325 -0.240611 -5.418059 \n", "\n", " illiq \n", "ret_mean 20.309522 \n", "t_values 4.784532 " ] }, "execution_count": 73, "metadata": {}, "output_type": "execute_result" } ], "source": [ "cols = ['beta','size','bm','mom','rev','illiq']\n", "temp = ret_df.groupby('ret_date').apply(fm_reg, cols=cols)\n", "reg_result_df = pd.DataFrame(temp.values.tolist())\n", "reg_result_df.index=temp.index\n", "reg_result_df.columns = ['intercept'] + cols\n", "reg_result_df.dropna(inplace=True)\n", "# Mean of coefs with NW adjustment\n", "mean_values = {}\n", "t_values = {}\n", "for k in reg_result_df.columns:\n", " y = reg_result_df[k]\n", " const = np.full(shape=len(y),fill_value=1)\n", " reg = sm.OLS(y, const).fit().get_robustcov_results(cov_type='HAC', maxlags=6)\n", " mean_values[k] = reg.params[0]\n", " t_values[k] = reg.tvalues[0]\n", "pd.DataFrame([mean_values.values(),t_values.values()],index=['ret_mean','t_values'],columns=mean_values.keys())" ] }, { "cell_type": "markdown", "metadata": { "editable": true }, "source": [ "## ST?\n", "\n", "以前做上面内容时，先不考虑去除ST，这部分再去除。结论是差不多的。" ] }, { "cell_type": "code", "execution_count": 74, "metadata": { "editable": true }, "outputs": [], "source": [ "# # st_df = DataAPI.SecSTGet(beginDate=START,endDate=END,secID=stk_id,field=['secID','tradeDate','STflg'],pandas=\"1\")\n", "# # st_df.to_pickle('./data/st_df.pkl')\n", "\n", "# ret_df\n", "\n", "# st_df = pd.read_pickle('./data/st_df.pkl')\n", "\n", "# st_df['ym'] = pd.to_datetime(st_df['tradeDate']).dt.to_period('M')\n", "\n", "# st_df.sort_values(['secID','tradeDate'],inplace=True)\n", "\n", "# st_df = st_df.groupby(['secID','ym'],as_index=False).last()\n", "\n", "# st_df.drop('tradeDate',axis=1,inplace=True)\n", "\n", "\n", "# st_df\n", "\n", "# st_df.loc[st_df['secID']=='000004.XSHE','STflg']\n", "\n", "# st_df['STflg'].unique()\n", "\n", "# st_df[st_df['STflg'] == '*']\n", "\n", "# st_df[~st_df['STflg'].isin(['S'])]\n", "\n", "# st_df = st_df[~st_df['STflg'].isin(['S'])]\n", "\n", "# st_df\n", "\n", "# ret_df[ret_df['secID']=='000004.XSHE']\n", "\n", "# ret_df = pd.merge(ret_df,st_df,on=['secID','ym'],how='left')\n", "\n", "# ret_df[(ret_df['secID'] =='000004.XSHE') & (ret_df['ym']=='2007-02')]\n", "\n", "# ret_df[~ret_df['STflg'].isna()]\n", "\n", "# ret_df_exST = ret_df[ret_df['STflg'].isna()]\n", "# ret_df_ST = ret_df[~ret_df['STflg'].isna()]\n", "\n", "# ret_df_exST.drop('STflg',axis=1,inplace=True)\n", "# ret_df_ST.drop('STflg',axis=1,inplace=True)\n", "\n", "# ret_df.drop('STflg',axis=1,inplace=True)" ] }, { "cell_type": "markdown", "metadata": { "editable": true }, "source": [ "### Single sort" ] }, { "cell_type": "code", "execution_count": 75, "metadata": { "editable": true }, "outputs": [], "source": [ "# q = dict()\n", "# keys = ['q'+str(i) for i in range(1, 10)]\n", "# values = np.arange(0.1, 1.0, 0.1)\n", "# q.update(zip(keys,values))\n", "\n", "# quantile_df = pd.DataFrame()\n", "# for key, value in q.items():\n", "# quantile_df[key] = ret_df_exST.groupby(['ym'])['illiq'].quantile(value)\n", "\n", "# ret_df_exST_q = pd.merge(ret_df_exST, quantile_df, on='ym')\n", "\n", "# portfolios = dict()\n", "# drop_cols = [col for col in ret_df_exST_q.columns if col[0]=='q']\n", "\n", "# portfolios['p1'] = ret_df_exST_q.loc[ret_df_exST_q['illiq'] <= ret_df_exST_q['q1']].copy().drop(drop_cols, axis=1)\n", "# for i in range(2,10):\n", "# idx = (ret_df_exST_q[f'q{i-1}'] <= ret_df_exST_q['illiq']) & (ret_df_exST_q['illiq'] <= ret_df_exST_q[f'q{i}'])\n", "# portfolios[f'p{i}'] = ret_df_exST_q.loc[idx].copy().drop(drop_cols, axis=1)\n", "# portfolios['p10'] = ret_df_exST_q.loc[ret_df_exST_q['illiq'] >= ret_df_exST_q['q9']].copy().drop(drop_cols, axis=1)\n", "\n", "# portfolios_crs_mean = dict()\n", "# for k in portfolios.keys():\n", "# portfolios_crs_mean[k] = portfolios[k].groupby(['ret_date'])['exret'].mean()\n", "\n", "# mean_values = {}\n", "# t_values = {}\n", "# for k in portfolios_crs_mean.keys():\n", "# y = portfolios_crs_mean[k]\n", "# const = np.full(shape=len(y),fill_value=1)\n", "# reg = sm.OLS(y, const).fit().get_robustcov_results(cov_type='HAC', maxlags=6)\n", "# mean_values[k] = reg.params[0]\n", "# t_values[k] = reg.tvalues[0]\n", "# # Portfolio 10-1\n", "# y = portfolios_crs_mean['p10'] - portfolios_crs_mean['p1']\n", "# const = np.full(shape=len(y), fill_value=1)\n", "# reg = sm.OLS(y, const).fit().get_robustcov_results(cov_type='HAC', maxlags=6)\n", "# mean_values['p10-p1'] = reg.params[0]\n", "# t_values['p10-p1'] = reg.tvalues[0]\n", "\n", "# pd.DataFrame([mean_values.values(),t_values.values()],index=['mean','t-value'],\n", "# columns=mean_values.keys())" ] }, { "cell_type": "markdown", "metadata": { "editable": true }, "source": [ "### Double sort" ] }, { "cell_type": "code", "execution_count": 76, "metadata": { "editable": true }, "outputs": [], "source": [ "# portfolios = double_sort(ret_df_exST, sort1='illiq')\n", "\n", "# mean_portfolios_ret = dict()\n", "# for pf in portfolios.keys():\n", "# mean_portfolios_ret[pf] = portfolios[pf].groupby('ret_date')['exret'].mean()\n", "# print(mean_portfolios_ret[pf].shape) # print 看一下会不会存在某个月份上没有illiq和size分组没有任何交叉" ] }, { "cell_type": "code", "execution_count": 77, "metadata": { "editable": true }, "outputs": [], "source": [ "# # Fast merge by stacking\n", "# mean_portfolios_ret_df = pd.DataFrame(np.vstack([pf for pf in mean_portfolios_ret.values()])).T\n", "# mean_portfolios_ret_df.columns = mean_portfolios_ret.keys()\n", "# mean_portfolios_ret_df.index = mean_portfolios_ret['illiq1_size1'].index\n", "\n", "# # Newey-West adjustment\n", "# mean_values = {}\n", "# t_values = {}\n", "# for k in mean_portfolios_ret.keys():\n", "# y = mean_portfolios_ret[k]\n", "# const = np.full(shape=len(y),fill_value=1)\n", "# reg = sm.OLS(y, const).fit().get_robustcov_results(cov_type='HAC', maxlags=4)\n", "# mean_values[k] = reg.params[0]\n", "# t_values[k] = reg.tvalues[0]\n", "\n", "# pd.DataFrame([mean_values.values(),t_values.values()],index=['ret_mean','t_values'],columns=mean_values.keys())" ] }, { "cell_type": "markdown", "metadata": { "editable": true }, "source": [ "### FM regression" ] }, { "cell_type": "code", "execution_count": 78, "metadata": { "editable": true }, "outputs": [], "source": [ "# cols = ['beta','size','bm','mom','rev','illiq']\n", "# temp = ret_df_exST.groupby('ret_date').apply(fm_reg, cols=cols)\n", "# reg_result_df = pd.DataFrame(temp.values.tolist())\n", "# reg_result_df.index=temp.index\n", "# reg_result_df.columns = ['intercept'] + cols\n", "# reg_result_df.dropna(inplace=True)\n", "# # Mean of coefs with NW adjustment\n", "# mean_values = {}\n", "# t_values = {}\n", "# for k in reg_result_df.columns:\n", "# y = reg_result_df[k]\n", "# const = np.full(shape=len(y),fill_value=1)\n", "# reg = sm.OLS(y, const).fit().get_robustcov_results(cov_type='HAC', maxlags=6)\n", "# mean_values[k] = reg.params[0]\n", "# t_values[k] = reg.tvalues[0]\n", "# pd.DataFrame([mean_values.values(),t_values.values()],index=['ret_mean','t_values'],columns=mean_values.keys())" ] }, { "cell_type": "markdown", "metadata": { "editable": true }, "source": [ "# Illiquidity factor" ] }, { "cell_type": "markdown", "metadata": { "editable": true }, "source": [ "### Long-short factor" ] }, { "cell_type": "code", "execution_count": 79, "metadata": { "editable": true }, "outputs": [], "source": [ "illiq_df = factor(ret_df, sort1='illiq', long_only=False)" ] }, { "cell_type": "code", "execution_count": 80, "metadata": { "editable": true }, "outputs": [ { "data": { "text/plain": [ "ret_date\n", "2007-02 0.044143\n", "2007-03 -0.022646\n", "2007-04 -0.057373\n", "2007-05 0.049768\n", "2007-06 0.015307\n", "2007-07 0.053373\n", "2007-08 -0.027295\n", "2007-09 -0.002890\n", " ... \n", "2021-08 0.044309\n", "2021-09 0.033531\n", "2021-10 -0.012598\n", "2021-11 0.037977\n", "2021-12 0.108916\n", "2022-01 0.043099\n", "2022-02 0.002599\n", "2022-03 -0.013360\n", "Freq: M, Name: illiq, Length: 182, dtype: float64" ] }, "execution_count": 80, "metadata": {}, "output_type": "execute_result" } ], "source": [ "illiq_df" ] }, { "cell_type": "code", "execution_count": 81, "metadata": { "editable": true }, "outputs": [], "source": [ "factors_df = pd.read_pickle('./data/factors/ff3_rev.pkl')" ] }, { "cell_type": "code", "execution_count": 82, "metadata": { "editable": true }, "outputs": [], "source": [ "factors_df.index = factors_df.index.to_period('M')" ] }, { "cell_type": "code", "execution_count": 83, "metadata": { "editable": true }, "outputs": [], "source": [ "factors_df = pd.merge(factors_df,illiq_df,on='ret_date')" ] }, { "cell_type": "code", "execution_count": 84, "metadata": { "editable": true }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
exmktretSMBHMLrevilliq
ret_date
2008-020.0240100.0849020.007286-0.013619-0.030980
2008-03-0.1954800.013640-0.0220600.0222580.020628
2008-040.022519-0.1185340.0246710.085249-0.067934
2008-05-0.0807980.063246-0.0011050.0298310.045341
2008-06-0.236014-0.029915-0.003586-0.0097250.036767
2008-070.0149720.0908900.0087730.0536660.035619
2008-08-0.170063-0.0660460.0328370.0048920.044140
2008-09-0.067913-0.0330790.0321290.038991-0.004393
..................
2021-07-0.0647760.043955-0.032335-0.093907-0.033124
2021-080.0141990.0109600.052207-0.0534720.044309
2021-090.002272-0.0299210.0461080.0575430.033531
2021-100.001777-0.014233-0.0532580.037378-0.012598
2021-11-0.0060470.123285-0.0314660.0019820.037977
2021-120.0181850.0155070.0513300.0552540.108916
2022-01-0.085436-0.0037980.069385-0.0231520.043099
2022-020.0106330.023980-0.0095540.0191940.002599
\n", "

169 rows × 5 columns

\n", "
" ], "text/plain": [ " exmktret SMB HML rev illiq\n", "ret_date \n", "2008-02 0.024010 0.084902 0.007286 -0.013619 -0.030980\n", "2008-03 -0.195480 0.013640 -0.022060 0.022258 0.020628\n", "2008-04 0.022519 -0.118534 0.024671 0.085249 -0.067934\n", "2008-05 -0.080798 0.063246 -0.001105 0.029831 0.045341\n", "2008-06 -0.236014 -0.029915 -0.003586 -0.009725 0.036767\n", "2008-07 0.014972 0.090890 0.008773 0.053666 0.035619\n", "2008-08 -0.170063 -0.066046 0.032837 0.004892 0.044140\n", "2008-09 -0.067913 -0.033079 0.032129 0.038991 -0.004393\n", "... ... ... ... ... ...\n", "2021-07 -0.064776 0.043955 -0.032335 -0.093907 -0.033124\n", "2021-08 0.014199 0.010960 0.052207 -0.053472 0.044309\n", "2021-09 0.002272 -0.029921 0.046108 0.057543 0.033531\n", "2021-10 0.001777 -0.014233 -0.053258 0.037378 -0.012598\n", "2021-11 -0.006047 0.123285 -0.031466 0.001982 0.037977\n", "2021-12 0.018185 0.015507 0.051330 0.055254 0.108916\n", "2022-01 -0.085436 -0.003798 0.069385 -0.023152 0.043099\n", "2022-02 0.010633 0.023980 -0.009554 0.019194 0.002599\n", "\n", "[169 rows x 5 columns]" ] }, "execution_count": 84, "metadata": {}, "output_type": "execute_result" } ], "source": [ "factors_df" ] }, { "cell_type": "code", "execution_count": 85, "metadata": { "editable": true }, "outputs": [], "source": [ "rf_df = ret_df[['ret_date','rf']].drop_duplicates().sort_values('ret_date').dropna()" ] }, { "cell_type": "code", "execution_count": 86, "metadata": { "editable": true }, "outputs": [], "source": [ "factors_df = pd.merge(rf_df,factors_df,on='ret_date').set_index('ret_date')" ] }, { "cell_type": "code", "execution_count": 87, "metadata": { "editable": true }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 87, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "((factors_df+1).cumprod()*100).plot()" ] }, { "cell_type": "code", "execution_count": 88, "metadata": { "editable": true }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 88, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "((factors_df['2015':]+1).cumprod()*100).plot()" ] }, { "cell_type": "code", "execution_count": 89, "metadata": { "editable": true }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 89, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "(np.log(1 + factors_df).cumsum()*100).plot()" ] }, { "cell_type": "markdown", "metadata": { "editable": true }, "source": [ "### Long-only factor" ] }, { "cell_type": "code", "execution_count": 90, "metadata": { "editable": true }, "outputs": [], "source": [ "illiq_long_df = factor(ret_df, sort1='illiq')" ] }, { "cell_type": "code", "execution_count": 91, "metadata": { "editable": true }, "outputs": [ { "data": { "text/plain": [ "ret_date\n", "2007-02 0.142514\n", "2007-03 0.121996\n", "2007-04 0.249583\n", "2007-05 0.099281\n", "2007-06 -0.091235\n", "2007-07 0.211054\n", "2007-08 0.080601\n", "2007-09 0.036440\n", " ... \n", "2021-08 0.066361\n", "2021-09 0.009460\n", "2021-10 -0.021662\n", "2021-11 0.100720\n", "2021-12 0.083863\n", "2022-01 -0.062290\n", "2022-02 0.039255\n", "2022-03 -0.063805\n", "Freq: M, Name: illiq, Length: 182, dtype: float64" ] }, "execution_count": 91, "metadata": {}, "output_type": "execute_result" } ], "source": [ "illiq_long_df" ] }, { "cell_type": "code", "execution_count": 92, "metadata": { "editable": true }, "outputs": [], "source": [ "factors_long_df = pd.read_pickle('./data/factors/ff3_rev_long_only.pkl')" ] }, { "cell_type": "code", "execution_count": 93, "metadata": { "editable": true }, "outputs": [], "source": [ "factors_long_df.index = factors_long_df.index.to_period('M')" ] }, { "cell_type": "code", "execution_count": 94, "metadata": { "editable": true }, "outputs": [], "source": [ "factors_long_df = pd.merge(factors_long_df,illiq_long_df,on='ret_date')" ] }, { "cell_type": "code", "execution_count": 95, "metadata": { "editable": true }, "outputs": [], "source": [ "factors_long_df = pd.merge(rf_df,factors_long_df,on='ret_date').set_index('ret_date')" ] }, { "cell_type": "code", "execution_count": 96, "metadata": { "editable": true }, "outputs": [], "source": [ "factors_long_df.rename(columns={'illiq':'illiq_long'},inplace=True)" ] }, { "cell_type": "code", "execution_count": 97, "metadata": { "editable": true }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
rfexmktretsmall_onlyhigh_onlyrev_longilliq_long
ret_date
2008-020.0029460.0240100.1063500.0607890.0596120.048717
2008-030.002746-0.195480-0.185605-0.204875-0.177674-0.184564
2008-040.0028620.022519-0.073984-0.0081380.026001-0.039478
2008-050.002953-0.080798-0.020726-0.056888-0.038600-0.027371
2008-060.003113-0.236014-0.258596-0.240880-0.249542-0.207909
2008-070.0028060.0149720.1103890.0721200.0844310.084488
2008-080.002681-0.170063-0.234635-0.187086-0.205410-0.189043
2008-090.002889-0.067913-0.088250-0.068698-0.063282-0.080665
.....................
2021-070.001942-0.064776-0.001619-0.044277-0.064251-0.020196
2021-080.0019410.0141990.0570720.0682520.0198320.066361
2021-090.0020330.002272-0.0246470.0136580.0093200.009460
2021-100.0019980.001777-0.025143-0.0410590.008093-0.021662
2021-110.001963-0.0060470.1303580.0438550.0708740.100720
2021-120.0020260.0181850.0376710.0502230.0452950.083863
2022-010.002014-0.085436-0.086267-0.045570-0.110829-0.062290
2022-020.0019210.0106330.0495480.0340110.0504880.039255
\n", "

169 rows × 6 columns

\n", "
" ], "text/plain": [ " rf exmktret small_only high_only rev_long illiq_long\n", "ret_date \n", "2008-02 0.002946 0.024010 0.106350 0.060789 0.059612 0.048717\n", "2008-03 0.002746 -0.195480 -0.185605 -0.204875 -0.177674 -0.184564\n", "2008-04 0.002862 0.022519 -0.073984 -0.008138 0.026001 -0.039478\n", "2008-05 0.002953 -0.080798 -0.020726 -0.056888 -0.038600 -0.027371\n", "2008-06 0.003113 -0.236014 -0.258596 -0.240880 -0.249542 -0.207909\n", "2008-07 0.002806 0.014972 0.110389 0.072120 0.084431 0.084488\n", "2008-08 0.002681 -0.170063 -0.234635 -0.187086 -0.205410 -0.189043\n", "2008-09 0.002889 -0.067913 -0.088250 -0.068698 -0.063282 -0.080665\n", "... ... ... ... ... ... ...\n", "2021-07 0.001942 -0.064776 -0.001619 -0.044277 -0.064251 -0.020196\n", "2021-08 0.001941 0.014199 0.057072 0.068252 0.019832 0.066361\n", "2021-09 0.002033 0.002272 -0.024647 0.013658 0.009320 0.009460\n", "2021-10 0.001998 0.001777 -0.025143 -0.041059 0.008093 -0.021662\n", "2021-11 0.001963 -0.006047 0.130358 0.043855 0.070874 0.100720\n", "2021-12 0.002026 0.018185 0.037671 0.050223 0.045295 0.083863\n", "2022-01 0.002014 -0.085436 -0.086267 -0.045570 -0.110829 -0.062290\n", "2022-02 0.001921 0.010633 0.049548 0.034011 0.050488 0.039255\n", "\n", "[169 rows x 6 columns]" ] }, "execution_count": 97, "metadata": {}, "output_type": "execute_result" } ], "source": [ "factors_long_df" ] }, { "cell_type": "code", "execution_count": 98, "metadata": { "editable": true }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 98, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "((factors_long_df+1).cumprod()*100).plot()" ] }, { "cell_type": "code", "execution_count": 99, "metadata": { "editable": true }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 99, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "((1 + factors_long_df['2018':]).cumprod()*100).plot()" ] }, { "cell_type": "markdown", "metadata": { "editable": true }, "source": [ "# Volality" ] }, { "cell_type": "markdown", "metadata": { "editable": true }, "source": [ "## Raw volatility" ] }, { "cell_type": "code", "execution_count": 100, "metadata": { "editable": true }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
secIDtradeDatepreClosePriceclosePricenegMarketValueturnoverValueturnoverRateret_dailyilliq_dailyymilliq_250d
0000001.XSHE2007-06-20824.193987.0074.835036e+104.182345e+090.08400.1975444.723272e-112007-06NaN
1000001.XSHE2007-06-21987.0071085.7405.318694e+102.285485e+090.04400.1000334.376871e-112007-06NaN
2000001.XSHE2007-06-221085.7401120.2335.487665e+102.761567e+090.05100.0317691.150402e-112007-06NaN
3000001.XSHE2007-06-251120.2331113.9045.456661e+102.324186e+090.0426-0.0056502.430837e-122007-06NaN
4000001.XSHE2007-06-26NaNNaNNaNNaNNaNNaNNaN2007-06NaN
5000001.XSHE2007-06-271113.9041019.6024.994705e+102.446556e+090.0489-0.0846593.460334e-112007-06NaN
6000001.XSHE2007-06-281019.602953.7804.672266e+101.617434e+090.0336-0.0645573.991295e-112007-06NaN
7000001.XSHE2007-06-29953.780870.8704.266117e+101.410758e+090.0316-0.0869286.161781e-112007-06NaN
....................................
10182920900957.XSHG2022-03-030.6100.6141.120560e+084.576100e+040.00040.0065571.432962e-072022-036.094510e-08
10182921900957.XSHG2022-03-040.6140.6111.115040e+083.987800e+040.0004-0.0048861.225235e-072022-036.130410e-08
10182922900957.XSHG2022-03-070.6110.6051.104000e+081.825430e+050.0016-0.0098205.379536e-082022-036.147504e-08
10182923900957.XSHG2022-03-080.6050.6041.102160e+081.612110e+050.0015-0.0016531.025298e-082022-036.134134e-08
10182924900957.XSHG2022-03-090.6040.6001.094800e+081.285010e+050.0012-0.0066235.153669e-082022-036.145979e-08
10182925900957.XSHG2022-03-100.6000.6051.104000e+087.845200e+040.00070.0083331.062221e-072022-036.183083e-08
10182926900957.XSHG2022-03-110.6050.6061.105840e+087.993400e+040.00070.0016532.067822e-082022-036.174065e-08
10182927900957.XSHG2022-03-140.6060.5941.083760e+081.005700e+050.0009-0.0198021.968975e-072022-036.244202e-08
\n", "

10182928 rows × 11 columns

\n", "
" ], "text/plain": [ " secID tradeDate preClosePrice closePrice negMarketValue \\\n", "0 000001.XSHE 2007-06-20 824.193 987.007 4.835036e+10 \n", "1 000001.XSHE 2007-06-21 987.007 1085.740 5.318694e+10 \n", "2 000001.XSHE 2007-06-22 1085.740 1120.233 5.487665e+10 \n", "3 000001.XSHE 2007-06-25 1120.233 1113.904 5.456661e+10 \n", "4 000001.XSHE 2007-06-26 NaN NaN NaN \n", "5 000001.XSHE 2007-06-27 1113.904 1019.602 4.994705e+10 \n", "6 000001.XSHE 2007-06-28 1019.602 953.780 4.672266e+10 \n", "7 000001.XSHE 2007-06-29 953.780 870.870 4.266117e+10 \n", "... ... ... ... ... ... \n", "10182920 900957.XSHG 2022-03-03 0.610 0.614 1.120560e+08 \n", "10182921 900957.XSHG 2022-03-04 0.614 0.611 1.115040e+08 \n", "10182922 900957.XSHG 2022-03-07 0.611 0.605 1.104000e+08 \n", "10182923 900957.XSHG 2022-03-08 0.605 0.604 1.102160e+08 \n", "10182924 900957.XSHG 2022-03-09 0.604 0.600 1.094800e+08 \n", "10182925 900957.XSHG 2022-03-10 0.600 0.605 1.104000e+08 \n", "10182926 900957.XSHG 2022-03-11 0.605 0.606 1.105840e+08 \n", "10182927 900957.XSHG 2022-03-14 0.606 0.594 1.083760e+08 \n", "\n", " turnoverValue turnoverRate ret_daily illiq_daily ym \\\n", "0 4.182345e+09 0.0840 0.197544 4.723272e-11 2007-06 \n", "1 2.285485e+09 0.0440 0.100033 4.376871e-11 2007-06 \n", "2 2.761567e+09 0.0510 0.031769 1.150402e-11 2007-06 \n", "3 2.324186e+09 0.0426 -0.005650 2.430837e-12 2007-06 \n", "4 NaN NaN NaN NaN 2007-06 \n", "5 2.446556e+09 0.0489 -0.084659 3.460334e-11 2007-06 \n", "6 1.617434e+09 0.0336 -0.064557 3.991295e-11 2007-06 \n", "7 1.410758e+09 0.0316 -0.086928 6.161781e-11 2007-06 \n", "... ... ... ... ... ... \n", "10182920 4.576100e+04 0.0004 0.006557 1.432962e-07 2022-03 \n", "10182921 3.987800e+04 0.0004 -0.004886 1.225235e-07 2022-03 \n", "10182922 1.825430e+05 0.0016 -0.009820 5.379536e-08 2022-03 \n", "10182923 1.612110e+05 0.0015 -0.001653 1.025298e-08 2022-03 \n", "10182924 1.285010e+05 0.0012 -0.006623 5.153669e-08 2022-03 \n", "10182925 7.845200e+04 0.0007 0.008333 1.062221e-07 2022-03 \n", "10182926 7.993400e+04 0.0007 0.001653 2.067822e-08 2022-03 \n", "10182927 1.005700e+05 0.0009 -0.019802 1.968975e-07 2022-03 \n", "\n", " illiq_250d \n", "0 NaN \n", "1 NaN \n", "2 NaN \n", "3 NaN \n", "4 NaN \n", "5 NaN \n", "6 NaN \n", "7 NaN \n", "... ... \n", "10182920 6.094510e-08 \n", "10182921 6.130410e-08 \n", "10182922 6.147504e-08 \n", "10182923 6.134134e-08 \n", "10182924 6.145979e-08 \n", "10182925 6.183083e-08 \n", "10182926 6.174065e-08 \n", "10182927 6.244202e-08 \n", "\n", "[10182928 rows x 11 columns]" ] }, "execution_count": 100, "metadata": {}, "output_type": "execute_result" } ], "source": [ "stk_df" ] }, { "cell_type": "code", "execution_count": 101, "metadata": { "editable": true }, "outputs": [], "source": [ "vol_df = stk_df.groupby(['secID','ym'])['ret_daily'].std()" ] }, { "cell_type": "code", "execution_count": 102, "metadata": { "editable": true }, "outputs": [ { "data": { "text/plain": [ "secID ym \n", "000001.XSHE 2007-06 0.106354\n", " 2007-07 0.042521\n", " 2007-08 0.033926\n", " 2007-09 0.023872\n", " 2007-10 0.035921\n", " 2007-11 0.033184\n", " 2007-12 0.027254\n", " 2008-01 0.037722\n", " ... \n", "900957.XSHG 2021-08 0.012268\n", " 2021-09 0.022351\n", " 2021-10 0.011663\n", " 2021-11 0.009639\n", " 2021-12 0.010961\n", " 2022-01 0.010559\n", " 2022-02 0.006517\n", " 2022-03 0.008522\n", "Name: ret_daily, Length: 507467, dtype: float64" ] }, "execution_count": 102, "metadata": {}, "output_type": "execute_result" } ], "source": [ "vol_df" ] }, { "cell_type": "code", "execution_count": 103, "metadata": { "editable": true }, "outputs": [], "source": [ "vol_df = vol_df.to_frame()" ] }, { "cell_type": "code", "execution_count": 104, "metadata": { "editable": true }, "outputs": [], "source": [ "vol_df.columns = ['vol']\n", "vol_df.reset_index(inplace=True)\n", "\n", "MIN_NOBS = 15\n", "idx = stk_df.groupby(['secID','ym'],as_index=False)['tradeDate'].count()['tradeDate'] < MIN_NOBS\n", "\n", "vol_df.loc[idx, 'vol'] = np.nan" ] }, { "cell_type": "code", "execution_count": 105, "metadata": { "editable": true }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
secIDymvol
0000001.XSHE2007-06NaN
1000001.XSHE2007-070.042521
2000001.XSHE2007-080.033926
3000001.XSHE2007-090.023872
4000001.XSHE2007-100.035921
5000001.XSHE2007-110.033184
6000001.XSHE2007-120.027254
7000001.XSHE2008-010.037722
............
507459900957.XSHG2021-080.012268
507460900957.XSHG2021-090.022351
507461900957.XSHG2021-100.011663
507462900957.XSHG2021-110.009639
507463900957.XSHG2021-120.010961
507464900957.XSHG2022-010.010559
507465900957.XSHG2022-020.006517
507466900957.XSHG2022-03NaN
\n", "

507467 rows × 3 columns

\n", "
" ], "text/plain": [ " secID ym vol\n", "0 000001.XSHE 2007-06 NaN\n", "1 000001.XSHE 2007-07 0.042521\n", "2 000001.XSHE 2007-08 0.033926\n", "3 000001.XSHE 2007-09 0.023872\n", "4 000001.XSHE 2007-10 0.035921\n", "5 000001.XSHE 2007-11 0.033184\n", "6 000001.XSHE 2007-12 0.027254\n", "7 000001.XSHE 2008-01 0.037722\n", "... ... ... ...\n", "507459 900957.XSHG 2021-08 0.012268\n", "507460 900957.XSHG 2021-09 0.022351\n", "507461 900957.XSHG 2021-10 0.011663\n", "507462 900957.XSHG 2021-11 0.009639\n", "507463 900957.XSHG 2021-12 0.010961\n", "507464 900957.XSHG 2022-01 0.010559\n", "507465 900957.XSHG 2022-02 0.006517\n", "507466 900957.XSHG 2022-03 NaN\n", "\n", "[507467 rows x 3 columns]" ] }, "execution_count": 105, "metadata": {}, "output_type": "execute_result" } ], "source": [ "vol_df" ] }, { "cell_type": "markdown", "metadata": { "editable": true }, "source": [ "## Idiosyncratic volatility" ] }, { "cell_type": "markdown", "metadata": { "editable": true }, "source": [ "Idiosyncratic volatility 指的是被已有的因子收益率回归之后，剩下的残差的波动率。传统金融理论认为残差部分属于可分散的风险，不应该被定价。即使认为因子模型还不够好，残差部分有剩余未被解释的系统性风险的部分，这部分的风险溢价(factor risk premium)也应该是正的。然而，美国市场的数据发现，波动率越低，未来的收益越高。这是一个很有意思的异象。\n", "\n", "最广为人知的文献是 Ang, Hodrick, Xing, and Zhang (2006)。\n", "\n", "- Bali and Cakici (2008): 数据处理的细节对结果影响很大，包括数据频率、portfolio加权的方式、分位点的计算等等\n", "- Huang et al. (2010 RFS): 这个异象和 reversal 有关\n", "- 其他部分文献：Han and Lesmond (2011), Bali, Cakici, and Whitelaw (2011), Baker, Bradley, and Wurgler (2011), Baker and Wurgler (2014)\n", "\n", "我们每个月用因子模型计算一下ivol，用来排序。" ] }, { "cell_type": "markdown", "metadata": { "editable": true }, "source": [ "#### Daily factors" ] }, { "cell_type": "code", "execution_count": 106, "metadata": { "editable": true }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
rfexmktretsizebmmomrev
tradeDate
2007-02-010.0000480.0055420.0007060.008284NaNNaN
2007-02-020.000048-0.0353350.0175860.011413NaNNaN
2007-02-050.000048-0.0059930.0195170.009377NaNNaN
2007-02-060.0000490.0198790.0070780.005161NaNNaN
2007-02-070.0000500.021923-0.007519-0.003939NaNNaN
2007-02-080.0000520.0173800.0000160.004336NaNNaN
2007-02-090.000076-0.0033550.0037840.000447NaNNaN
2007-02-120.0001100.033455-0.009223-0.006304NaNNaN
.....................
2022-03-030.000047-0.0050660.0022990.022054-0.004624-0.007673
2022-03-040.000052-0.011208-0.000821-0.000821-0.0044130.004745
2022-03-070.000056-0.0293980.0141200.0154380.001816-0.013664
2022-03-080.000056-0.023659-0.006318-0.004479-0.0035530.004705
2022-03-090.000055-0.011676-0.000704-0.0083690.014907-0.009190
2022-03-100.0000550.0160640.000360-0.0086230.005819-0.002512
2022-03-110.0000560.0045860.0027540.002806-0.0083960.004471
2022-03-140.000057-0.0288780.0010630.008414-0.0053980.002478
\n", "

3674 rows × 6 columns

\n", "
" ], "text/plain": [ " rf exmktret size bm mom rev\n", "tradeDate \n", "2007-02-01 0.000048 0.005542 0.000706 0.008284 NaN NaN\n", "2007-02-02 0.000048 -0.035335 0.017586 0.011413 NaN NaN\n", "2007-02-05 0.000048 -0.005993 0.019517 0.009377 NaN NaN\n", "2007-02-06 0.000049 0.019879 0.007078 0.005161 NaN NaN\n", "2007-02-07 0.000050 0.021923 -0.007519 -0.003939 NaN NaN\n", "2007-02-08 0.000052 0.017380 0.000016 0.004336 NaN NaN\n", "2007-02-09 0.000076 -0.003355 0.003784 0.000447 NaN NaN\n", "2007-02-12 0.000110 0.033455 -0.009223 -0.006304 NaN NaN\n", "... ... ... ... ... ... ...\n", "2022-03-03 0.000047 -0.005066 0.002299 0.022054 -0.004624 -0.007673\n", "2022-03-04 0.000052 -0.011208 -0.000821 -0.000821 -0.004413 0.004745\n", "2022-03-07 0.000056 -0.029398 0.014120 0.015438 0.001816 -0.013664\n", "2022-03-08 0.000056 -0.023659 -0.006318 -0.004479 -0.003553 0.004705\n", "2022-03-09 0.000055 -0.011676 -0.000704 -0.008369 0.014907 -0.009190\n", "2022-03-10 0.000055 0.016064 0.000360 -0.008623 0.005819 -0.002512\n", "2022-03-11 0.000056 0.004586 0.002754 0.002806 -0.008396 0.004471\n", "2022-03-14 0.000057 -0.028878 0.001063 0.008414 -0.005398 0.002478\n", "\n", "[3674 rows x 6 columns]" ] }, "execution_count": 106, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pd.read_pickle('./data/factors/factors_daily.pkl')" ] }, { "cell_type": "code", "execution_count": 107, "metadata": { "editable": true }, "outputs": [], "source": [ "shibor1d = DataAPI.MktIborGet(secID=\"Shibor1D.IRCN\",beginDate=START,endDate=END,field=['tradeDate','rate'],pandas=\"1\")\n", "shibor1d['tradeDate'] = pd.to_datetime(shibor1d['tradeDate'])\n", "shibor1d['rate'] = shibor1d['rate'] * 0.01 / 365\n", "shibor1d.rename(columns={'rate':'rf'},inplace=True)" ] }, { "cell_type": "code", "execution_count": 108, "metadata": { "editable": true }, "outputs": [], "source": [ "factors_daily = pd.read_pickle('./data/factors/factors_daily.pkl')" ] }, { "cell_type": "code", "execution_count": 109, "metadata": { "editable": true }, "outputs": [], "source": [ "illiq_daily = daily_factor(ret_df, stock_df=stk_df,sort1='illiq',long_only=False)" ] }, { "cell_type": "code", "execution_count": 110, "metadata": { "editable": true }, "outputs": [ { "data": { "text/plain": [ "tradeDate\n", "2007-02-01 0.001867\n", "2007-02-02 0.028347\n", "2007-02-05 0.019764\n", "2007-02-06 0.005676\n", "2007-02-07 -0.010923\n", "2007-02-08 0.008654\n", "2007-02-09 0.001801\n", "2007-02-12 -0.015907\n", " ... \n", "2022-03-03 0.004227\n", "2022-03-04 -0.000377\n", "2022-03-07 0.000735\n", "2022-03-08 -0.005731\n", "2022-03-09 -0.011574\n", "2022-03-10 -0.000616\n", "2022-03-11 0.001316\n", "2022-03-14 -0.000970\n", "Name: illiq, Length: 3674, dtype: float64" ] }, "execution_count": 110, "metadata": {}, "output_type": "execute_result" } ], "source": [ "illiq_daily" ] }, { "cell_type": "code", "execution_count": 111, "metadata": { "editable": true }, "outputs": [], "source": [ "illiq_daily.name = 'illiq'" ] }, { "cell_type": "code", "execution_count": 112, "metadata": { "editable": true }, "outputs": [], "source": [ "factors_daily = pd.merge(factors_daily, illiq_daily, on='tradeDate')" ] }, { "cell_type": "code", "execution_count": 113, "metadata": { "editable": true }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
rfexmktretsizebmmomrevilliq
tradeDate
2007-02-010.0000480.0055420.0007060.008284NaNNaN0.001867
2007-02-020.000048-0.0353350.0175860.011413NaNNaN0.028347
2007-02-050.000048-0.0059930.0195170.009377NaNNaN0.019764
2007-02-060.0000490.0198790.0070780.005161NaNNaN0.005676
2007-02-070.0000500.021923-0.007519-0.003939NaNNaN-0.010923
2007-02-080.0000520.0173800.0000160.004336NaNNaN0.008654
2007-02-090.000076-0.0033550.0037840.000447NaNNaN0.001801
2007-02-120.0001100.033455-0.009223-0.006304NaNNaN-0.015907
........................
2022-03-030.000047-0.0050660.0022990.022054-0.004624-0.0076730.004227
2022-03-040.000052-0.011208-0.000821-0.000821-0.0044130.004745-0.000377
2022-03-070.000056-0.0293980.0141200.0154380.001816-0.0136640.000735
2022-03-080.000056-0.023659-0.006318-0.004479-0.0035530.004705-0.005731
2022-03-090.000055-0.011676-0.000704-0.0083690.014907-0.009190-0.011574
2022-03-100.0000550.0160640.000360-0.0086230.005819-0.002512-0.000616
2022-03-110.0000560.0045860.0027540.002806-0.0083960.0044710.001316
2022-03-140.000057-0.0288780.0010630.008414-0.0053980.002478-0.000970
\n", "

3674 rows × 7 columns

\n", "
" ], "text/plain": [ " rf exmktret size bm mom rev \\\n", "tradeDate \n", "2007-02-01 0.000048 0.005542 0.000706 0.008284 NaN NaN \n", "2007-02-02 0.000048 -0.035335 0.017586 0.011413 NaN NaN \n", "2007-02-05 0.000048 -0.005993 0.019517 0.009377 NaN NaN \n", "2007-02-06 0.000049 0.019879 0.007078 0.005161 NaN NaN \n", "2007-02-07 0.000050 0.021923 -0.007519 -0.003939 NaN NaN \n", "2007-02-08 0.000052 0.017380 0.000016 0.004336 NaN NaN \n", "2007-02-09 0.000076 -0.003355 0.003784 0.000447 NaN NaN \n", "2007-02-12 0.000110 0.033455 -0.009223 -0.006304 NaN NaN \n", "... ... ... ... ... ... ... \n", "2022-03-03 0.000047 -0.005066 0.002299 0.022054 -0.004624 -0.007673 \n", "2022-03-04 0.000052 -0.011208 -0.000821 -0.000821 -0.004413 0.004745 \n", "2022-03-07 0.000056 -0.029398 0.014120 0.015438 0.001816 -0.013664 \n", "2022-03-08 0.000056 -0.023659 -0.006318 -0.004479 -0.003553 0.004705 \n", "2022-03-09 0.000055 -0.011676 -0.000704 -0.008369 0.014907 -0.009190 \n", "2022-03-10 0.000055 0.016064 0.000360 -0.008623 0.005819 -0.002512 \n", "2022-03-11 0.000056 0.004586 0.002754 0.002806 -0.008396 0.004471 \n", "2022-03-14 0.000057 -0.028878 0.001063 0.008414 -0.005398 0.002478 \n", "\n", " illiq \n", "tradeDate \n", "2007-02-01 0.001867 \n", "2007-02-02 0.028347 \n", "2007-02-05 0.019764 \n", "2007-02-06 0.005676 \n", "2007-02-07 -0.010923 \n", "2007-02-08 0.008654 \n", "2007-02-09 0.001801 \n", "2007-02-12 -0.015907 \n", "... ... \n", "2022-03-03 0.004227 \n", "2022-03-04 -0.000377 \n", "2022-03-07 0.000735 \n", "2022-03-08 -0.005731 \n", "2022-03-09 -0.011574 \n", "2022-03-10 -0.000616 \n", "2022-03-11 0.001316 \n", "2022-03-14 -0.000970 \n", "\n", "[3674 rows x 7 columns]" ] }, "execution_count": 113, "metadata": {}, "output_type": "execute_result" } ], "source": [ "factors_daily" ] }, { "cell_type": "markdown", "metadata": { "editable": true }, "source": [ "#### 计算月度的 idiosyncratic volatility" ] }, { "cell_type": "code", "execution_count": 114, "metadata": { "editable": true }, "outputs": [], "source": [ "def idiovol_np(df, factor_cols, len_periods='1m', min_nobs=15):\n", " \"\"\"\n", " df: year_month is set as index\n", " \"\"\"\n", " year_months = df.index.unique()\n", " n = len(year_months)\n", " idiovol = np.full(shape=n, fill_value=np.nan)\n", " start_notnan_month = int(len_periods[:-1])-1\n", " for i in range(start_notnan_month,n):\n", " df_ = df.loc[str(year_months[i]-int(len_periods[:-1])+1) : str(year_months[i]),['exret']+factor_cols].dropna().to_numpy()\n", " if len(df_) < min_nobs:\n", " continue\n", " else:\n", " y_ = df_[:,0] # \n", " X_ = df_[:,1:]\n", " reg = LinearRegression().fit(y=y_, X=X_)\n", " res = y_ - reg.predict(X_)\n", " idiovol[i] = np.std(res)\n", " idiovol_df = pd.DataFrame({'ym': year_months, f'idiovol{len_periods}': idiovol})\n", " return idiovol_df" ] }, { "cell_type": "code", "execution_count": 115, "metadata": { "editable": true }, "outputs": [], "source": [ "def idiovol(df,factor_cols,min_nobs=15):\n", " df = df.dropna()\n", " y = df.loc[:,'exret']\n", " X = df.loc[:,factor_cols]\n", " nobs = len(X)\n", " if nobs < min_nobs:\n", " idiovol = np.nan\n", " else:\n", " reg = LinearRegression().fit(y=y,X=X)\n", " res = y - reg.predict(X)\n", " idiovol = np.std(res)\n", " return idiovol" ] }, { "cell_type": "code", "execution_count": 116, "metadata": { "editable": true }, "outputs": [], "source": [ "reg_df = pd.merge(stk_df[['secID','tradeDate','ret_daily']],factors_daily,\n", " on=['tradeDate'])" ] }, { "cell_type": "code", "execution_count": 117, "metadata": { "editable": true }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
secIDtradeDateret_dailyrfexmktretsizebmmomrevilliq
0000001.XSHE2007-06-200.1975440.000073-0.024256-0.002343-0.001034NaN-0.002050.005758
1000002.XSHE2007-06-20-0.0355770.000073-0.024256-0.002343-0.001034NaN-0.002050.005758
2000006.XSHE2007-06-20-0.0304510.000073-0.024256-0.002343-0.001034NaN-0.002050.005758
3000007.XSHE2007-06-20NaN0.000073-0.024256-0.002343-0.001034NaN-0.002050.005758
4000008.XSHE2007-06-20NaN0.000073-0.024256-0.002343-0.001034NaN-0.002050.005758
5000012.XSHE2007-06-20-0.0661590.000073-0.024256-0.002343-0.001034NaN-0.002050.005758
6000014.XSHE2007-06-20-0.0023940.000073-0.024256-0.002343-0.001034NaN-0.002050.005758
7000016.XSHE2007-06-20-0.0508210.000073-0.024256-0.002343-0.001034NaN-0.002050.005758
.................................
10157577900949.XSHG2007-06-190.0014540.0000710.0095200.0086490.003262NaN0.00052-0.006885
10157578900950.XSHG2007-06-19-0.0197670.0000710.0095200.0086490.003262NaN0.00052-0.006885
10157579900951.XSHG2007-06-190.0274350.0000710.0095200.0086490.003262NaN0.00052-0.006885
10157580900952.XSHG2007-06-19-0.0097700.0000710.0095200.0086490.003262NaN0.00052-0.006885
10157581900953.XSHG2007-06-190.0373300.0000710.0095200.0086490.003262NaN0.00052-0.006885
10157582900955.XSHG2007-06-190.0857280.0000710.0095200.0086490.003262NaN0.00052-0.006885
10157583900956.XSHG2007-06-190.0035160.0000710.0095200.0086490.003262NaN0.00052-0.006885
10157584900957.XSHG2007-06-190.1009980.0000710.0095200.0086490.003262NaN0.00052-0.006885
\n", "

10157585 rows × 10 columns

\n", "
" ], "text/plain": [ " secID tradeDate ret_daily rf exmktret size \\\n", "0 000001.XSHE 2007-06-20 0.197544 0.000073 -0.024256 -0.002343 \n", "1 000002.XSHE 2007-06-20 -0.035577 0.000073 -0.024256 -0.002343 \n", "2 000006.XSHE 2007-06-20 -0.030451 0.000073 -0.024256 -0.002343 \n", "3 000007.XSHE 2007-06-20 NaN 0.000073 -0.024256 -0.002343 \n", "4 000008.XSHE 2007-06-20 NaN 0.000073 -0.024256 -0.002343 \n", "5 000012.XSHE 2007-06-20 -0.066159 0.000073 -0.024256 -0.002343 \n", "6 000014.XSHE 2007-06-20 -0.002394 0.000073 -0.024256 -0.002343 \n", "7 000016.XSHE 2007-06-20 -0.050821 0.000073 -0.024256 -0.002343 \n", "... ... ... ... ... ... ... \n", "10157577 900949.XSHG 2007-06-19 0.001454 0.000071 0.009520 0.008649 \n", "10157578 900950.XSHG 2007-06-19 -0.019767 0.000071 0.009520 0.008649 \n", "10157579 900951.XSHG 2007-06-19 0.027435 0.000071 0.009520 0.008649 \n", "10157580 900952.XSHG 2007-06-19 -0.009770 0.000071 0.009520 0.008649 \n", "10157581 900953.XSHG 2007-06-19 0.037330 0.000071 0.009520 0.008649 \n", "10157582 900955.XSHG 2007-06-19 0.085728 0.000071 0.009520 0.008649 \n", "10157583 900956.XSHG 2007-06-19 0.003516 0.000071 0.009520 0.008649 \n", "10157584 900957.XSHG 2007-06-19 0.100998 0.000071 0.009520 0.008649 \n", "\n", " bm mom rev illiq \n", "0 -0.001034 NaN -0.00205 0.005758 \n", "1 -0.001034 NaN -0.00205 0.005758 \n", "2 -0.001034 NaN -0.00205 0.005758 \n", "3 -0.001034 NaN -0.00205 0.005758 \n", "4 -0.001034 NaN -0.00205 0.005758 \n", "5 -0.001034 NaN -0.00205 0.005758 \n", "6 -0.001034 NaN -0.00205 0.005758 \n", "7 -0.001034 NaN -0.00205 0.005758 \n", "... ... ... ... ... \n", "10157577 0.003262 NaN 0.00052 -0.006885 \n", "10157578 0.003262 NaN 0.00052 -0.006885 \n", "10157579 0.003262 NaN 0.00052 -0.006885 \n", "10157580 0.003262 NaN 0.00052 -0.006885 \n", "10157581 0.003262 NaN 0.00052 -0.006885 \n", "10157582 0.003262 NaN 0.00052 -0.006885 \n", "10157583 0.003262 NaN 0.00052 -0.006885 \n", "10157584 0.003262 NaN 0.00052 -0.006885 \n", "\n", "[10157585 rows x 10 columns]" ] }, "execution_count": 117, "metadata": {}, "output_type": "execute_result" } ], "source": [ "reg_df" ] }, { "cell_type": "code", "execution_count": 118, "metadata": { "editable": true }, "outputs": [], "source": [ "reg_df.sort_values(['secID','tradeDate'],inplace=True)" ] }, { "cell_type": "code", "execution_count": 119, "metadata": { "editable": true }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
secIDtradeDateret_dailyrfexmktretsizebmmomrevilliq
0000001.XSHE2007-06-200.1975440.000073-0.024256-0.002343-0.001034NaN-0.0020500.005758
1386000001.XSHE2007-06-210.1000330.0000640.005827-0.0090980.002051NaN0.007474-0.014001
2774000001.XSHE2007-06-220.0317690.000058-0.040473-0.018162-0.012145NaN-0.0057850.005331
4162000001.XSHE2007-06-25-0.0056500.000052-0.048566-0.018636-0.015277NaN-0.0036540.004555
5550000001.XSHE2007-06-26NaN0.0000490.014660-0.0000070.013603NaN0.006575-0.010688
6939000001.XSHE2007-06-27-0.0846590.0000470.027391-0.002884-0.006621NaN-0.004414-0.007068
8328000001.XSHE2007-06-28-0.0645570.000046-0.050035-0.022858-0.002255NaN0.000980-0.001477
9717000001.XSHE2007-06-29-0.0869280.000049-0.029572-0.0164440.006253NaN-0.0005540.000632
.................................
10006447900957.XSHG2022-03-030.0065570.000047-0.0050660.0022990.022054-0.004624-0.0076730.004227
10010997900957.XSHG2022-03-04-0.0048860.000052-0.011208-0.000821-0.000821-0.0044130.004745-0.000377
10015549900957.XSHG2022-03-07-0.0098200.000056-0.0293980.0141200.0154380.001816-0.0136640.000735
10020100900957.XSHG2022-03-08-0.0016530.000056-0.023659-0.006318-0.004479-0.0035530.004705-0.005731
10024651900957.XSHG2022-03-09-0.0066230.000055-0.011676-0.000704-0.0083690.014907-0.009190-0.011574
10029203900957.XSHG2022-03-100.0083330.0000550.0160640.000360-0.0086230.005819-0.002512-0.000616
10033757900957.XSHG2022-03-110.0016530.0000560.0045860.0027540.002806-0.0083960.0044710.001316
10038313900957.XSHG2022-03-14-0.0198020.000057-0.0288780.0010630.008414-0.0053980.002478-0.000970
\n", "

10157585 rows × 10 columns

\n", "
" ], "text/plain": [ " secID tradeDate ret_daily rf exmktret size \\\n", "0 000001.XSHE 2007-06-20 0.197544 0.000073 -0.024256 -0.002343 \n", "1386 000001.XSHE 2007-06-21 0.100033 0.000064 0.005827 -0.009098 \n", "2774 000001.XSHE 2007-06-22 0.031769 0.000058 -0.040473 -0.018162 \n", "4162 000001.XSHE 2007-06-25 -0.005650 0.000052 -0.048566 -0.018636 \n", "5550 000001.XSHE 2007-06-26 NaN 0.000049 0.014660 -0.000007 \n", "6939 000001.XSHE 2007-06-27 -0.084659 0.000047 0.027391 -0.002884 \n", "8328 000001.XSHE 2007-06-28 -0.064557 0.000046 -0.050035 -0.022858 \n", "9717 000001.XSHE 2007-06-29 -0.086928 0.000049 -0.029572 -0.016444 \n", "... ... ... ... ... ... ... \n", "10006447 900957.XSHG 2022-03-03 0.006557 0.000047 -0.005066 0.002299 \n", "10010997 900957.XSHG 2022-03-04 -0.004886 0.000052 -0.011208 -0.000821 \n", "10015549 900957.XSHG 2022-03-07 -0.009820 0.000056 -0.029398 0.014120 \n", "10020100 900957.XSHG 2022-03-08 -0.001653 0.000056 -0.023659 -0.006318 \n", "10024651 900957.XSHG 2022-03-09 -0.006623 0.000055 -0.011676 -0.000704 \n", "10029203 900957.XSHG 2022-03-10 0.008333 0.000055 0.016064 0.000360 \n", "10033757 900957.XSHG 2022-03-11 0.001653 0.000056 0.004586 0.002754 \n", "10038313 900957.XSHG 2022-03-14 -0.019802 0.000057 -0.028878 0.001063 \n", "\n", " bm mom rev illiq \n", "0 -0.001034 NaN -0.002050 0.005758 \n", "1386 0.002051 NaN 0.007474 -0.014001 \n", "2774 -0.012145 NaN -0.005785 0.005331 \n", "4162 -0.015277 NaN -0.003654 0.004555 \n", "5550 0.013603 NaN 0.006575 -0.010688 \n", "6939 -0.006621 NaN -0.004414 -0.007068 \n", "8328 -0.002255 NaN 0.000980 -0.001477 \n", "9717 0.006253 NaN -0.000554 0.000632 \n", "... ... ... ... ... \n", "10006447 0.022054 -0.004624 -0.007673 0.004227 \n", "10010997 -0.000821 -0.004413 0.004745 -0.000377 \n", "10015549 0.015438 0.001816 -0.013664 0.000735 \n", "10020100 -0.004479 -0.003553 0.004705 -0.005731 \n", "10024651 -0.008369 0.014907 -0.009190 -0.011574 \n", "10029203 -0.008623 0.005819 -0.002512 -0.000616 \n", "10033757 0.002806 -0.008396 0.004471 0.001316 \n", "10038313 0.008414 -0.005398 0.002478 -0.000970 \n", "\n", "[10157585 rows x 10 columns]" ] }, "execution_count": 119, "metadata": {}, "output_type": "execute_result" } ], "source": [ "reg_df" ] }, { "cell_type": "code", "execution_count": 120, "metadata": { "editable": true }, "outputs": [], "source": [ "reg_df['exret'] = reg_df['ret_daily'] - reg_df['rf']" ] }, { "cell_type": "code", "execution_count": 121, "metadata": { "editable": true }, "outputs": [], "source": [ "reg_df['ym'] = reg_df['tradeDate'].dt.to_period('M')" ] }, { "cell_type": "markdown", "metadata": { "editable": true }, "source": [ "#### 代码测试" ] }, { "cell_type": "code", "execution_count": 122, "metadata": { "editable": true }, "outputs": [], "source": [ "# Testing the time consuming \n", "ids = reg_df['secID'].unique()\n", "ids_ = np.random.choice(ids, 50)\n", "temp = reg_df[reg_df['secID'].isin(ids_)]" ] }, { "cell_type": "code", "execution_count": 123, "metadata": { "editable": true }, "outputs": [], "source": [ "temp.set_index('ym',inplace=True)" ] }, { "cell_type": "code", "execution_count": 124, "metadata": { "editable": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 23.1 s, sys: 168 ms, total: 23.3 s\n", "Wall time: 23.3 s\n" ] } ], "source": [ "%%time\n", "result1 = temp.groupby(['secID','ym']).apply(idiovol, factor_cols=['exmktret','size','bm','mom','rev','illiq'])" ] }, { "cell_type": "code", "execution_count": 125, "metadata": { "editable": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 19.1 s, sys: 408 ms, total: 19.5 s\n", "Wall time: 19.6 s\n" ] } ], "source": [ "%%time\n", "result2 = temp.groupby(['secID']).apply(idiovol_np, factor_cols=['exmktret','size','bm','mom','rev','illiq'])" ] }, { "cell_type": "code", "execution_count": 126, "metadata": { "editable": true }, "outputs": [ { "data": { "text/plain": [ "secID ym \n", "000004.XSHE 2011-06 0.039065\n", " 2011-07 0.024776\n", " 2011-08 0.011382\n", " 2011-09 0.010367\n", " 2011-10 0.006892\n", " 2011-11 0.011735\n", " 2011-12 0.013728\n", " 2012-01 0.014721\n", " ... \n", "688513.XSHG 2021-08 0.014472\n", " 2021-09 0.008163\n", " 2021-10 0.008998\n", " 2021-11 0.009419\n", " 2021-12 0.006190\n", " 2022-01 0.029948\n", " 2022-02 0.021238\n", " 2022-03 NaN\n", "Length: 5807, dtype: float64" ] }, "execution_count": 126, "metadata": {}, "output_type": "execute_result" } ], "source": [ "result1" ] }, { "cell_type": "code", "execution_count": 127, "metadata": { "editable": true }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
ymidiovol1m
secID
000004.XSHE02011-060.039065
12011-070.024776
22011-080.011382
32011-090.010367
42011-100.006892
52011-110.011735
62011-120.013728
72012-010.014721
............
688513.XSHG112021-080.014472
122021-090.008163
132021-100.008998
142021-110.009419
152021-120.006190
162022-010.029948
172022-020.021238
182022-03NaN
\n", "

5807 rows × 2 columns

\n", "
" ], "text/plain": [ " ym idiovol1m\n", "secID \n", "000004.XSHE 0 2011-06 0.039065\n", " 1 2011-07 0.024776\n", " 2 2011-08 0.011382\n", " 3 2011-09 0.010367\n", " 4 2011-10 0.006892\n", " 5 2011-11 0.011735\n", " 6 2011-12 0.013728\n", " 7 2012-01 0.014721\n", "... ... ...\n", "688513.XSHG 11 2021-08 0.014472\n", " 12 2021-09 0.008163\n", " 13 2021-10 0.008998\n", " 14 2021-11 0.009419\n", " 15 2021-12 0.006190\n", " 16 2022-01 0.029948\n", " 17 2022-02 0.021238\n", " 18 2022-03 NaN\n", "\n", "[5807 rows x 2 columns]" ] }, "execution_count": 127, "metadata": {}, "output_type": "execute_result" } ], "source": [ "result2" ] }, { "cell_type": "code", "execution_count": 128, "metadata": { "editable": true }, "outputs": [], "source": [ "result1 = result1.to_frame().reset_index()\n", "result1.columns = ['secID','ym','r1']" ] }, { "cell_type": "code", "execution_count": 129, "metadata": { "editable": true }, "outputs": [], "source": [ "result2 = result2.reset_index().drop('level_1',axis=1)" ] }, { "cell_type": "code", "execution_count": 130, "metadata": { "editable": true }, "outputs": [], "source": [ "result = pd.merge(result1, result2, on=['secID','ym'])" ] }, { "cell_type": "code", "execution_count": 131, "metadata": { "editable": true }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
secIDymr1idiovol1m
0000004.XSHE2011-060.0390650.039065
1000004.XSHE2011-070.0247760.024776
2000004.XSHE2011-080.0113820.011382
3000004.XSHE2011-090.0103670.010367
4000004.XSHE2011-100.0068920.006892
5000004.XSHE2011-110.0117350.011735
6000004.XSHE2011-120.0137280.013728
7000004.XSHE2012-010.0147210.014721
...............
5799688513.XSHG2021-080.0144720.014472
5800688513.XSHG2021-090.0081630.008163
5801688513.XSHG2021-100.0089980.008998
5802688513.XSHG2021-110.0094190.009419
5803688513.XSHG2021-120.0061900.006190
5804688513.XSHG2022-010.0299480.029948
5805688513.XSHG2022-020.0212380.021238
5806688513.XSHG2022-03NaNNaN
\n", "

5807 rows × 4 columns

\n", "
" ], "text/plain": [ " secID ym r1 idiovol1m\n", "0 000004.XSHE 2011-06 0.039065 0.039065\n", "1 000004.XSHE 2011-07 0.024776 0.024776\n", "2 000004.XSHE 2011-08 0.011382 0.011382\n", "3 000004.XSHE 2011-09 0.010367 0.010367\n", "4 000004.XSHE 2011-10 0.006892 0.006892\n", "5 000004.XSHE 2011-11 0.011735 0.011735\n", "6 000004.XSHE 2011-12 0.013728 0.013728\n", "7 000004.XSHE 2012-01 0.014721 0.014721\n", "... ... ... ... ...\n", "5799 688513.XSHG 2021-08 0.014472 0.014472\n", "5800 688513.XSHG 2021-09 0.008163 0.008163\n", "5801 688513.XSHG 2021-10 0.008998 0.008998\n", "5802 688513.XSHG 2021-11 0.009419 0.009419\n", "5803 688513.XSHG 2021-12 0.006190 0.006190\n", "5804 688513.XSHG 2022-01 0.029948 0.029948\n", "5805 688513.XSHG 2022-02 0.021238 0.021238\n", "5806 688513.XSHG 2022-03 NaN NaN\n", "\n", "[5807 rows x 4 columns]" ] }, "execution_count": 131, "metadata": {}, "output_type": "execute_result" } ], "source": [ "result" ] }, { "cell_type": "code", "execution_count": 132, "metadata": { "editable": true }, "outputs": [ { "data": { "text/plain": [ "7.37257477290143e-18" ] }, "execution_count": 132, "metadata": {}, "output_type": "execute_result" } ], "source": [ "(result['r1'] - result['idiovol1m']).sum()" ] }, { "cell_type": "code", "execution_count": 133, "metadata": { "editable": true }, "outputs": [ { "data": { "text/plain": [ "array([0.03906486, 0.02477628, 0.01138195, ..., 0.02994759, 0.02123808,\n", " nan])" ] }, "execution_count": 133, "metadata": {}, "output_type": "execute_result" } ], "source": [ "result['r1'].to_numpy()" ] }, { "cell_type": "code", "execution_count": 134, "metadata": { "editable": true }, "outputs": [ { "data": { "text/plain": [ "array([0.03906486, 0.02477628, 0.01138195, ..., 0.02994759, 0.02123808,\n", " nan])" ] }, "execution_count": 134, "metadata": {}, "output_type": "execute_result" } ], "source": [ "result['idiovol1m'].to_numpy()" ] }, { "cell_type": "code", "execution_count": 135, "metadata": { "editable": true }, "outputs": [ { "data": { "text/plain": [ "False" ] }, "execution_count": 135, "metadata": {}, "output_type": "execute_result" } ], "source": [ "np.array_equal(result['r1'].to_numpy(), result['idiovol1m'].to_numpy())" ] }, { "cell_type": "code", "execution_count": 136, "metadata": { "editable": true }, "outputs": [ { "data": { "text/plain": [ "False" ] }, "execution_count": 136, "metadata": {}, "output_type": "execute_result" } ], "source": [ "np.allclose(result['r1'].to_numpy(), result['idiovol1m'].to_numpy())" ] }, { "cell_type": "code", "execution_count": 137, "metadata": { "editable": true }, "outputs": [], "source": [ "result.fillna(0, inplace=True)" ] }, { "cell_type": "code", "execution_count": 138, "metadata": { "editable": true }, "outputs": [ { "data": { "text/plain": [ "False" ] }, "execution_count": 138, "metadata": {}, "output_type": "execute_result" } ], "source": [ "np.array_equal(result['r1'].to_numpy(), result['idiovol1m'].to_numpy())" ] }, { "cell_type": "code", "execution_count": 139, "metadata": { "editable": true }, "outputs": [ { "data": { "text/plain": [ "True" ] }, "execution_count": 139, "metadata": {}, "output_type": "execute_result" } ], "source": [ "np.allclose(result['r1'].to_numpy(), result['idiovol1m'].to_numpy())" ] }, { "cell_type": "markdown", "metadata": { "editable": true }, "source": [ "#### 实际计算" ] }, { "cell_type": "code", "execution_count": 140, "metadata": { "editable": true }, "outputs": [], "source": [ "reg_df.set_index('ym',inplace=True)" ] }, { "cell_type": "code", "execution_count": 141, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
secIDtradeDateret_dailyrfexmktretsizebmmomrevilliqexret
ym
2007-06000001.XSHE2007-06-200.1975440.000073-0.024256-0.002343-0.001034NaN-0.0020500.0057580.197470
2007-06000001.XSHE2007-06-210.1000330.0000640.005827-0.0090980.002051NaN0.007474-0.0140010.099969
2007-06000001.XSHE2007-06-220.0317690.000058-0.040473-0.018162-0.012145NaN-0.0057850.0053310.031711
2007-06000001.XSHE2007-06-25-0.0056500.000052-0.048566-0.018636-0.015277NaN-0.0036540.004555-0.005702
2007-06000001.XSHE2007-06-26NaN0.0000490.014660-0.0000070.013603NaN0.006575-0.010688NaN
2007-06000001.XSHE2007-06-27-0.0846590.0000470.027391-0.002884-0.006621NaN-0.004414-0.007068-0.084706
2007-06000001.XSHE2007-06-28-0.0645570.000046-0.050035-0.022858-0.002255NaN0.000980-0.001477-0.064602
2007-06000001.XSHE2007-06-29-0.0869280.000049-0.029572-0.0164440.006253NaN-0.0005540.000632-0.086977
....................................
2022-03900957.XSHG2022-03-030.0065570.000047-0.0050660.0022990.022054-0.004624-0.0076730.0042270.006510
2022-03900957.XSHG2022-03-04-0.0048860.000052-0.011208-0.000821-0.000821-0.0044130.004745-0.000377-0.004938
2022-03900957.XSHG2022-03-07-0.0098200.000056-0.0293980.0141200.0154380.001816-0.0136640.000735-0.009876
2022-03900957.XSHG2022-03-08-0.0016530.000056-0.023659-0.006318-0.004479-0.0035530.004705-0.005731-0.001709
2022-03900957.XSHG2022-03-09-0.0066230.000055-0.011676-0.000704-0.0083690.014907-0.009190-0.011574-0.006678
2022-03900957.XSHG2022-03-100.0083330.0000550.0160640.000360-0.0086230.005819-0.002512-0.0006160.008278
2022-03900957.XSHG2022-03-110.0016530.0000560.0045860.0027540.002806-0.0083960.0044710.0013160.001597
2022-03900957.XSHG2022-03-14-0.0198020.000057-0.0288780.0010630.008414-0.0053980.002478-0.000970-0.019859
\n", "

10157585 rows × 11 columns

\n", "
" ], "text/plain": [ " secID tradeDate ret_daily rf exmktret size \\\n", "ym \n", "2007-06 000001.XSHE 2007-06-20 0.197544 0.000073 -0.024256 -0.002343 \n", "2007-06 000001.XSHE 2007-06-21 0.100033 0.000064 0.005827 -0.009098 \n", "2007-06 000001.XSHE 2007-06-22 0.031769 0.000058 -0.040473 -0.018162 \n", "2007-06 000001.XSHE 2007-06-25 -0.005650 0.000052 -0.048566 -0.018636 \n", "2007-06 000001.XSHE 2007-06-26 NaN 0.000049 0.014660 -0.000007 \n", "2007-06 000001.XSHE 2007-06-27 -0.084659 0.000047 0.027391 -0.002884 \n", "2007-06 000001.XSHE 2007-06-28 -0.064557 0.000046 -0.050035 -0.022858 \n", "2007-06 000001.XSHE 2007-06-29 -0.086928 0.000049 -0.029572 -0.016444 \n", "... ... ... ... ... ... ... \n", "2022-03 900957.XSHG 2022-03-03 0.006557 0.000047 -0.005066 0.002299 \n", "2022-03 900957.XSHG 2022-03-04 -0.004886 0.000052 -0.011208 -0.000821 \n", "2022-03 900957.XSHG 2022-03-07 -0.009820 0.000056 -0.029398 0.014120 \n", "2022-03 900957.XSHG 2022-03-08 -0.001653 0.000056 -0.023659 -0.006318 \n", "2022-03 900957.XSHG 2022-03-09 -0.006623 0.000055 -0.011676 -0.000704 \n", "2022-03 900957.XSHG 2022-03-10 0.008333 0.000055 0.016064 0.000360 \n", "2022-03 900957.XSHG 2022-03-11 0.001653 0.000056 0.004586 0.002754 \n", "2022-03 900957.XSHG 2022-03-14 -0.019802 0.000057 -0.028878 0.001063 \n", "\n", " bm mom rev illiq exret \n", "ym \n", "2007-06 -0.001034 NaN -0.002050 0.005758 0.197470 \n", "2007-06 0.002051 NaN 0.007474 -0.014001 0.099969 \n", "2007-06 -0.012145 NaN -0.005785 0.005331 0.031711 \n", "2007-06 -0.015277 NaN -0.003654 0.004555 -0.005702 \n", "2007-06 0.013603 NaN 0.006575 -0.010688 NaN \n", "2007-06 -0.006621 NaN -0.004414 -0.007068 -0.084706 \n", "2007-06 -0.002255 NaN 0.000980 -0.001477 -0.064602 \n", "2007-06 0.006253 NaN -0.000554 0.000632 -0.086977 \n", "... ... ... ... ... ... \n", "2022-03 0.022054 -0.004624 -0.007673 0.004227 0.006510 \n", "2022-03 -0.000821 -0.004413 0.004745 -0.000377 -0.004938 \n", "2022-03 0.015438 0.001816 -0.013664 0.000735 -0.009876 \n", "2022-03 -0.004479 -0.003553 0.004705 -0.005731 -0.001709 \n", "2022-03 -0.008369 0.014907 -0.009190 -0.011574 -0.006678 \n", "2022-03 -0.008623 0.005819 -0.002512 -0.000616 0.008278 \n", "2022-03 0.002806 -0.008396 0.004471 0.001316 0.001597 \n", "2022-03 0.008414 -0.005398 0.002478 -0.000970 -0.019859 \n", "\n", "[10157585 rows x 11 columns]" ] }, "execution_count": 141, "metadata": {}, "output_type": "execute_result" } ], "source": [ "reg_df" ] }, { "cell_type": "code", "execution_count": 142, "metadata": { "editable": true }, "outputs": [], "source": [ "# %%time\n", "# ivol = reg_df.groupby(['secID']).apply(idiovol_np, factor_cols=['exmktret','size','bm','mom','rev','illiq'])\n", "# # Takes about 26min 40s to execute" ] }, { "cell_type": "code", "execution_count": 143, "metadata": { "editable": true }, "outputs": [], "source": [ "# ivol = ivol.reset_index().drop('level_1',axis=1)" ] }, { "cell_type": "code", "execution_count": 144, "metadata": { "editable": true }, "outputs": [], "source": [ "# ivol.to_pickle('./data/idiovol1m.pkl')" ] }, { "cell_type": "code", "execution_count": 145, "metadata": { "editable": true }, "outputs": [], "source": [ "ivol = pd.read_pickle('./data/idiovol1m.pkl')" ] }, { "cell_type": "code", "execution_count": 146, "metadata": { "editable": true }, "outputs": [], "source": [ "vol_df = pd.merge(vol_df,ivol,on=['secID','ym'])" ] }, { "cell_type": "code", "execution_count": 147, "metadata": { "editable": true }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
secIDymvolidiovol1m
0000001.XSHE2007-06NaNNaN
1000001.XSHE2007-070.042521NaN
2000001.XSHE2007-080.033926NaN
3000001.XSHE2007-090.023872NaN
4000001.XSHE2007-100.035921NaN
5000001.XSHE2007-110.033184NaN
6000001.XSHE2007-120.027254NaN
7000001.XSHE2008-010.0377220.013266
...............
504872900957.XSHG2021-080.0122680.008334
504873900957.XSHG2021-090.0223510.016555
504874900957.XSHG2021-100.0116630.007700
504875900957.XSHG2021-110.0096390.007046
504876900957.XSHG2021-120.0109610.008692
504877900957.XSHG2022-010.0105590.008409
504878900957.XSHG2022-020.0065170.004195
504879900957.XSHG2022-03NaNNaN
\n", "

504880 rows × 4 columns

\n", "
" ], "text/plain": [ " secID ym vol idiovol1m\n", "0 000001.XSHE 2007-06 NaN NaN\n", "1 000001.XSHE 2007-07 0.042521 NaN\n", "2 000001.XSHE 2007-08 0.033926 NaN\n", "3 000001.XSHE 2007-09 0.023872 NaN\n", "4 000001.XSHE 2007-10 0.035921 NaN\n", "5 000001.XSHE 2007-11 0.033184 NaN\n", "6 000001.XSHE 2007-12 0.027254 NaN\n", "7 000001.XSHE 2008-01 0.037722 0.013266\n", "... ... ... ... ...\n", "504872 900957.XSHG 2021-08 0.012268 0.008334\n", "504873 900957.XSHG 2021-09 0.022351 0.016555\n", "504874 900957.XSHG 2021-10 0.011663 0.007700\n", "504875 900957.XSHG 2021-11 0.009639 0.007046\n", "504876 900957.XSHG 2021-12 0.010961 0.008692\n", "504877 900957.XSHG 2022-01 0.010559 0.008409\n", "504878 900957.XSHG 2022-02 0.006517 0.004195\n", "504879 900957.XSHG 2022-03 NaN NaN\n", "\n", "[504880 rows x 4 columns]" ] }, "execution_count": 147, "metadata": {}, "output_type": "execute_result" } ], "source": [ "vol_df" ] }, { "cell_type": "code", "execution_count": 148, "metadata": { "editable": true }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 148, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "vol_df.loc[vol_df['ym']>='2018',['ym','vol']].boxplot(by='ym',showmeans=True)" ] }, { "cell_type": "code", "execution_count": 149, "metadata": { "editable": true }, "outputs": [], "source": [ "vol_df['vol_clip'] = vol_df['vol'].clip(lower=vol_df['vol'].quantile(0.001),\n", " upper=vol_df['vol'].quantile(0.999))\n", "vol_df['ivol_clip'] = vol_df['idiovol1m'].clip(lower=vol_df['idiovol1m'].quantile(0.001),\n", " upper=vol_df['idiovol1m'].quantile(0.999))" ] }, { "cell_type": "code", "execution_count": 150, "metadata": { "editable": true }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 150, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAA8kAAAJfCAYAAABMhJRzAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8QZhcZAAAgAElEQVR4nOzdf3RT15kv/O+WhG2QcbALAYwKeE1yO7aT9tLkve9b0unEIcAADaXTNMSmKxBRGshF9S1M5YA7k+HeGmIlZi44AwSCIMzEDmkncZJS11BsuqaTtW4nKfdOGXuS9g6QEU5DUkIAgX/v9w9Lio4B20falvY5+n7W8gLJ9uN9js7ZZz9n/zhCSgkiIiIiIiIiAhzpLgARERERERGRLpgkExEREREREUUwSSYiIiIiIiKKYJJMREREREREFMEkmYiIiIiIiCiCSTIRERERERFRBJNkIiKiEQghTgghvpXucqSCEOL/E0Kcucn3pBDCk+IiERERpRSTZCIisiQhxBkhxFUhxGUhxH8IIWqFECLNZZophPhKOstAREREyWGSTEREVrZASjkRwJcBPAhgWZrL8y0ATJKJiIgsjEkyERFZnpTyLIBfArgNAIQQuUKIA0KID4UQ7wghvhF5/3YhxB+EEIWR1/9TCLE/8v8TQghf5Oc/FEL84EZ/a5jYjwD4SwB/KYS4IoS4dcjvTRVCHIv0fsvI10YhxL1CiNeEEDWR3/sTIcQ4IcQzQoj3Iz3m/zUuzsH4ssW/FkL8tRDi6ci2XBRCvCSEmBD5nksIsUMIcV4I8a9CiD+Ji/HtyN8KAVgywu5eHYlxRgixJPL7/yiE+GZcvI1CiIYh23/DnxFCzBZCtEfK/okQ4rQQoixS9stCiF8LIf5ohDIREREpwySZiIgsTwgxG8B/AXAs8tZ/B5AN4LMY7F3+WyHEbVLK3wLYBWCrEOI/AVgOoCouVEUkzv8DwCeE+C83+HM3i30IwGEA/0NKmSulPD/k954A8D6AiQAOANge+QKA+wBcAXCLlPIfAawDcDeAzwG4B8B/E0L86Sh3x2oAawEUApgKYH3k/e8AKAUwG8BmAC8LIXKEELMi5VgE4I8j2z+c6QA8kTK+IIQYD6ARwJ/H/cwDAH485PeG+5k/BtAH4DMAfgTgKIA3AEwC8C6AjSOUiYiISBkmyUREZGXNQohLGEyk9ksp/3fk/T8HsENK2SWl7ADwE3yaoG0F8CcAGgD8lZTyo7h4L0opP5FSngHwGoAFN/ibw8Uezh8DOCGl7AfwCwB/LKWUcd8PRL4X/Ru7pZSXpJTnALyAwYR+NFqllP8mpbwKYF/cNjwIYJeU8qqU8jUATgBfAHA/gH+SUv5vKeWVyO8MZ6+UskdK2QzgAoC7ALwMYKEQIlsIkQ/gPwNoHvJ7w/2MiJStD4MJ8idSyhcj++PnAIpGue1ERERJY5JMRERWtkhKmYfBXt0/E0J8L/L+VADxPbnnMdj7CSnlNQz2ahYDeHFIvEtx//8wEmeom8YewTsA/kQI4cLgHOr/G/e9D+ISZLN/Y+i1/GbbMB2DPb8XhRAXAeQCmALgVgAfxP3O+yNsx4Wh8SM3Gv4XBhPyRQCORfZzzAg/MyCljMbtA3Ax7lf7AIwboUxERETKMEkmIiLLk1J+AOAf8OmiWZ0YTP6ipkbegxBiKgaHJB/F4BDoeFOG/M7vb/DnbhobgLz+x2O2ALgXwB8AzAJQM8zPDvc3egG4hnwv3s224fcAyqWUkyJfE6SUP8FgAj457ncmDVMuYHBI9I3iNwD4OgbnNA8dao0Rfma4/UZERJRSTJKJiMjyhBAFAL4J4GTkrZcxOI93vBCiGIPzX1+NfO8ZAEEMztF9TAhxe1yobwkhCoQQRQCWYjCRHmq42H/A4Jxf3OBxVF8G8H8ATAOwOJLY38zLANYJIW6JLDL2CD5NKv8dQFlk2PIXI3Hj3SuEuFMI4Qbw7bht+FEkZp4Y9J8j7x/HYA/3HZH5xd8eplwAsFYIkRVZtGsSgF9H3m8C8P9icA71kZv87mh+hoiIKK2YJBMRkZUdFUJcweBQ5n8H8HTk/f8B4BqA/8DgnOHvSSnfiSx+NQ/ANinlhxhMmJ+Ni3cCwK8iXzullP98g795w9iR7x0EMF8I8RGuHx79MQZ7UK8C6BZC/JMQYuJNtuv5SBnexeAQ5eeklD+PfG8vBufw/iFS/r1DfvdnAPZgsOf59wD+NvL+cxhM0v8NwGUAOwEgMv/6+xhc9Ow8gH+9SZmi23ASwDkM7rdHokOmpZSXI78bndt8ndH8DBERUboJ45ohREREmUkIcQLAPinl0HnKKmJPBfCPAO6TUoYiPbbNAJ6VUt5saHIif+evAcyQUq5RFdPk338FwCtSyr9P5meIiIjSiT3JREREnxo6RFqVWwFkAeiKvJ6NwXnJp8fgb43VNgz/R4X4YwwO/X41mZ8hIiJKN9fIP0JERETJkFL+RgjxEoB/FULkAAgB2CqlfDvNRVNCCPEmgD8C8F+llOFEf4aIiEgHHG5NREREREREFMHh1kREREREREQRTJKJiIiIiIiIIpgkExEREREREUUwSSYiIiIiIiKKYJJMREREREREFMEkmYiIiIiIiCiCSTIRERERERFRBJNkIiIiIiIioggmyUREREREREQRTJKJiIiIiIiIIpgkExEREREREUUwSSYiIiIiIiKKYJJMREREREREFMEkmYiIiIiIiCiCSTIRERERERFRBJNkIiIiIiIioggmyUREREREREQRTJKJiIiIiIiIIpgkExEREREREUUwSSYiIiIiIiKKYJJMREREREREFMEkmYiIiIiIiCiCSTIREZFmhBCrhBA/T+D3zgghvhz5//NCiD9TXzoiIiJ7c6W7AERERKSelPLb6S4DERGRFbEnmYiIiIiIiCiCSTIREdEYEkL8mxCiLO71fxdC7I78f6UQ4ndCiPNCiF1CiBwTcauEEO8JIT4RQvz1Db5/Qgjxrcj/DwohNgshfi2EuCCEqBdCOBVsHhERke0wSSYiIhpbrwL4atzrrwJ4VQjxBQBPAVgEYBaAqQCeGE1AIcRDAFYDmAvgVgDPjeLXvJG/fTuAeQC+McryExERZRQmyURERGOrCZEkWQhRCKAIQBuArwNoklL+Vkp5DcDfAHholDG/DuCAlDIkpeyWUr4/mnJIKTullH8A8PcAFpjdECIiokzAJJmIiGhs/QpArhDiNgBLAPxUStmLwZ7j83E/dx6AZ5QxpwD4vclyXIr7/4eRv09ERERDMEkmIiIaQ1JKCeA1DA6rXozBnmUA6MTgUOmoqZH3RuOjIb87GlOG/C2zSTYREVFGYJJMREQ09l4FcD+ALwFojrz3DwC+JoT4T0KI8QD+G4AfjzLeSwAeFUIUCiHGCSH+aBS/s0wIMVMI8RkAKwAcNbcJREREmYFJMhER0dg7gcEE+S0p5RUAkFK2A/g+gBYA7wH4BMDW0QSTUjYBeBHA2wAuAHh4FL/2MwA/AfBbAMcBvGJqC4iIiDKEGBwFRkRERHYlhDgI4LdSypp0l4WIiEh37EkmIiLSlBDifiHElSFfP0o0nNLCERER2ZQr3QUgIiKiG5NS/hxAbrrLQURElEk43JqIiIiIiIgogsOtiYiIiIiIiCJGNdxaCPGXAFYC+BjAN6WUZ+K+l4PBFTYvSylXRd77cwBbADgBvCGlrBou/uTJk+Xs2bOHLUM4HIbb7R5NcVMSR2UsxmEcxsmcOCpjMQ7jMI7+cVTGYhzGYRz946iMxTjJx3n77bc/klJOMR1cSjnsF4BZAH6NwYT3AQCHh3y/GcDfAjgY914ZgILI7/wKQOlwf+Ouu+6SI2lraxvxZ0ZDVRyVsRiHcRgnc+KojMU4jMM4+sdRGYtxGIdx9I+jMhbjJB8Hg49eHDHnHfo1muHWZQCapZT9kYT4S0O+vxKAYaVNKWWblPJC5Hf+A0C+6eydiIiIiIiIKMVGXLhLCOEH0Cul/JvI63MAZkYS4OjP3AtglYwMt457Px/APwO4U0p5bcj3vgPgOwAwderUu1566aVhy3HlyhXk5ia/wKeqOCpjMQ7jME7mxFEZi3EYh3H0j6MyFuMwDuPoH0dlLMZJPk5ZWdnbUsq7TQcfqasZwPcBfC/udScA55CfuRdxw63j3n8JwOqR/gaHWzMO4zBOpsRRGYtxGIdx9I+jMhbjMA7j6B9HZSzGST4OxnC49fsAJgOAEMI1mFd/2ot8M0KIjQDCUsr9ZhN3IiIiIiIionQYTZL8cwB/JoRwAlgM4B+FEE8LIRbc7Bci31sCYK2aYhIRERERERGNvREfASWl/L0Q4gCAdwCEMbjC9TMYXL36Zuojsf9ZCAEAL0kpn0q+uERERERERERjZ1TPSZZSPgvg2bi3Hhry/RMATsS9/pyCshERERERERGl1GiGWxMRERERERFlBCbJRERERERERBFMkomIiIiIiIgimCQTERERERERRTBJJiIiIiIiIopgkkxEREREREQUwSSZiIiIiIiIKIJJMhEREREREVEEk2QiIiIiIiKiCCbJRERERERERFFSyrR/3XXXXfJmFixYIIUQEoAUQsgFCxbc9GeHs379epmdnS0ByOzsbLl+/fqE4sRra2tL6vcbGhpkaWmpdDgcsrS0VDY0NKQ1jup9lOz+UfXZqyqPqji6fe52jROly+elOpaUyW/bnXfeKQHEvu68886E4ui2XQ6Hw7BdDocjoTgFBQWGOAUFBUmVK9ntUlUeVXWrbuX57Gc/ayjPZz/72YTiRK+D0a/s7OyE4qiMFR8j+pUIVeeqqs9e1XapKo9ux5Cq/eN2uw0x3G53WsujWxyXy2WI4XK5EoojpbpzTNX1WdWxqOrcSEd7AcBbMoH8NO0JshwmSV6wYIEEIPPz86XD4ZD5+fkSgOkL6Pr166XL5ZJ1dXWyublZ1tXVSZfLldYksKGhQRYVFcnW1lZ57Ngx2draKouKikwfLKrijMU+Smb/RD/7devWyTfeeEOuW7cuoc9eVXlUxWloaJBTpkyRs2fPlg6HQ86ePVtOmTIlbZ+7XePE0+E8VR0rKplti16Aly5dKl999VW5dOnShC7Eum1XNEHOzc2Vu3fvlrm5uQklytFGd2lpqWxsbJSlpaVJJ8rJbJeq8qiqW3UrT7QBN3fuXPmjH/1Izp07N6GGXLRBGT2Oov8m0rCMxpo6dao8cOCAnDp1akKx4humGzduTDghUHWuqvrsb5TgJLJdqsqj+hhS+bn/4Ac/SHj/RBPk2bNny7/7u7+Ts2fPTihRjv5tp9Mpt2/fLp1OZ0LlUfW5R39HCCGfeuqp2I02s3GiCXJ+fr7ct29fLNdIJFFWdY6puj6rOhZVnRvpai/YMkkGICdOnGjYmRMnTjR9AmRnZ8u6ujop5ac7s66uLqm7w/GxElFaWipbW1sNcVpbW2VpaWla4ozFPkpm/wgh5Lp16wxx1q1bJ4UQaSmPqjgej0dOnz7dcExPnz5dejweU3F0O350ixNPh/NUdayoZLYNgJwzZ47hju6cOXNM1686bldubq4hTjRRNhsnug3RONHGd6KS3S4V5VFVt+pYnrlz5xriRBtyZuMIIQx1dLTxbVa0cRpfpmgj1Wyc6P6OnquJJAOqzlVVn310G+L3daLJkqryqDqGVH7u8XES3T+TJ082HD+TJ09OKI7T6TSUJ5oom42j6nOP1hPR8iRyrkYT5Pg40UTZLJXn2NKlSw1xoomy2TiqjkUV50a62gu2TZJff/11w054/fXXE/pww+GwIU44HE6qsRMfKxEOh0P29PQY4vT09Jju7VAVZyz2UbINwosXLxriXLx4MW3lURUHgDx69KghztGjR01vl27Hj25x4ulwnqqOFZXssThz5kxDQ2XmzJlpOxbjJbtdb7/9tiHO22+/ndB14+zZs4Y4Z8+eTWudqKI8qupWHcvT2dlpiNPZ2ZlQnGAwaIgTDAYTTpI7OjoMsTo6OhIqU15enuFczcvLS9u5qvKzr62tNcSpra1N67Go6hhS9bm/9NJLhjgvvfRSQnE8Ho/h+PF4PAnFOXHihKE8J06cSCjO1q1bDXG2bt2aUJyf/exnhjg/+9nPEoqzbds2w02Ebdu2JXTOqzzHPvzwQ0OcDz/8MK3HoopzI13thUSTZO0X7vrJT34y7OvRyM7Oxp49ewzv7dmzB9nZ2UmVLRnFxcX45S9/aXjvl7/8JYqLi9MSR7d9JITApk2bDO9t2rQJQoi0lEc3uh0/usVRRWV5dNs2APB4PCgrK4PL5UJZWRk8Ho/pGDpu15/+6Z8O+3q0Fi9ePOzrVFNRHpV1q27lefDBB4d9PVpPPPHEsK/NuPfee4d9PVqXLl0ynKuXLl0yHUPluarq3FC1r1WVR9UxpOpzf/jhh4d9PVq9vb2G46e3tzehOPPmzRv29Wht3rx52NejtWjRomFfj9amTZtQX1+PlpYW1NfXX1cnjZbKc2z16tXDvh4tVceiinNDx/bCsBLJrFV/3awnOTqPYuhcJbPzKDgneWQq95GKSfl2nZPs8XjktGnTDJ/XtGnTTA+31u340S1ONFayx6Gd5yQjMrxt6JwnmLwzrNt22X1O8rhx4wz/ck7yIFVz5qLnwNA5yWbPCynHZm7q0C8zdJ2TnOycUs5JHl2coXOSE42jck5yTU1N0tuV7PET/Z2hc5ITOec5J3l4nJOsMEluaGiQ48ePN5xA48ePT2hncnXrkanYRypPADuubh2/cJcQIuGFu6KxdDp+dIqjW7I9FrGkTH6+dVFRkaF+LSoqSmhukE7bJaU9V7duaGgwNAKj9WI661Y7rm69fv36GyajibYZVKwsGx0aO/TL7M1VKfVa3bqhoeGG25VImbi69c2VlpbKnJwcQ4ycnJyE6noV5VH5uasoj8PhuOHq1oleN7i69fC4urWiJFlK/RpfYxHLTnF0W8RHxzi6HtN2iqPzcagylg6jWVSVh3GGp/Mxbac4paWlsrq62lBHR1+nq0yqFnxUVR6VcXg9HPs4Otb1Ot0MH4u6NT5Wshgn+TiJJskuaK68vBzl5eU4ceJEwuPoKXU6Ojrw5S9/2fDel7/8ZXR0dKSpRPrhMT32eByOrLy8HADg8/nQ0dGB4uJi1NTUxN4nvfCYTo2Ojg6cPHkSP/zhD2N1dG9vL7Zt25a2MnV2duKxxx7DokWL0N3djezsbHi9Xjz33HNpK5MqvB6OPR3rehWfe01NDfbv34+ysrJYnP3798Pn85naturqaqxevRr79+9Hf38/2trasHr1atTU1CRULrIP7RfuImspLi7Gli1bcMcdd2DevHm44447sGXLFn0n5ZMtqVwcorGx0XA8NzY2qipm2pWXl+PUqVM4fvw4Tp06xQRZY5Zb8MSiVO9nFfVHYWEhmpqa0NzcjGPHjqG5uRlNTU0oLCxMqEyUeexY16u6cVheXo6amhr4fD4sXLgQPp8v7TcRSA9MkhNg50ZzssrKylBbWwuv14sjR47A6/WitrYWZWVl6S4aZZDoneG2tjb09fXF7gxXV1ebitPY2Ijq6mrDqpfV1dU85ynlVB3TNDyV+7mxsRGVlZUIh8OQUiIcDqOysjKh+mNwxODNX2c6tssyj8obWna8iUDJ0364tW6ijebosAyn0xlblp0nFdDW1oaqqioEg8HYsJ6qqio0NTWlu2hkEY2NjaipqYkdP9XV1abPLVXDy1QN59KVin1NqaHjkEk7Urmf/X4/nE4ngsFgrL1QUVEBv99vKl5nZycOHjxoKFMgEMCqVatMl8mO2C7LTBwmTWONSbJJdm80J0vH+Vw0PJ0SJZWNHRVznuw8D5QNS+vh/E1rCYVCOHr0qKG9cOjQISxYsMBUnOLiYng8Hpw6dSoWp62tjUPtI9guy0y8cUhjjcOtTbJzo1kFzpuzFt2GE8c3dlwuF8rKyrB///603Rm28/Gs276mkXFI6djTrU4EONR+JGyXZS4Okx4ZrxuJ0z5J1u3D1bHRrNM+4sXcWnRLlHRr7Nj5eNZtX9PwdEze7EhlnejxeLBy5UpD/bFy5Up4PB5Tcbiw0PB0bJcR6YDXjeRoPdxax+GAus2B0G0fcfiLteiWKEUbO/ELvaWzsWPn41m3fU3D45DS1FBZJwYCAVRWVsLr9eK9997DzJkz0dfXh7q6OtOxONT+5nRrlxHpgteN5GidJOv44erWaNZ1H/Fibg26JUo6NnbsejzruK/p5nS7oWVXKuvE6DU4ek653W5s3bqVjVPFdGuXEemC143kaJ0k6/rh6tRo1nUfkTXoliixsZM63NfWotsNLR2pWIRQtzqRRkendhmRLnjdSI7WSTI/3JHpuI90Wi2ZhqdjosTGzshUnWPc19bB5G14qqYeqawTdZsOZWdsdxBdT8frhpXOVa2TZB0/XN3oto/YKLAeJkrWwnMsM+l4Q0snKqceqaoTVZbJSg3LVGOdSHRjul03rHauar26NVd0HJlu+0i31ZKJkqXT6vEAz7FMxsed3JyOU49UlYkr1A5PxzpRt+sGZS5V1w0Vx7SO5+pwtO5JBtjLNRo67SMdGypEidLxrifPMaLr6Tj1SFWZdFygUye61Yk6Xjcodew46kPVMa3buToSrXuSyXr4vELShV3vevIcI7qejs80V1UmqzUsU023OlHH6walhl1Hfag6pnU7V0eifU8yWYtuc6QpMzU2NqKyshJutxsAEA6HUVlZCcD6dz15jhFdT7e5dyrLVFxcjC1btqCpqSkWZ9myZdo2LFNNtzpRx+sGpYZdR310dHQgFArhjjvuiNVBVVVVpo9p3c7VkTBJJqV0bKhQ5vH7/XC5XAgGg7GhQStWrIDf7zd1LOo4hJPn2MjsONyNRqbT1KMoFWUqKytDbW0tamtrUVJSgvb2dlRVVWHt2rVqC2tRutWJOl43KDXseoOksLAQPp8P+fn5AAY7Hnw+HwoLC03F0e1cHQmHWxOR7YRCIbzwwguGoUEvvPACQqGQqTg6DuEEuIDTcOw63I1SR7dFl9ra2lBVVYVgMIglS5YgGAyiqqoKbW1taS2XCqr2tU51YnV1NZYvX46ioiLcd999KCoqwvLly9N+3aCxZ7XhxKN19epVXL58GdeuXcPAwACuXbuGy5cv4+rVq6Zj6XSujoQ9yaQUF6wgO7HaXU+y73A3GpmKEQQ6XsM6OjpQVVVleO9zn/uc5XunVE2L0ZkQIt1FoBSy2nDi0bpw4QJuueUWjB8/Hg6HA+PHj8fEiRNx4cKFdBdtTLEnmZTighWkA4/Hg0ceecTQA/zII4/A4/GYjmWlu55k3+FuNDxVIwh0vIYVFhbC7/cbts3v95se6gjo1UsePy2mpaUFwWAQLpcLfr8/bWVSoaamBocPH8bp06dx/PhxnD59GocPH2Y7KAPo9lhWlaqrqw3HdCaMjGBPMinFBirpIBAIoLKyEl6vF2fPnsWsWbPQ39+P7du3p7toNMY4HzAzqRpBoOs1bGiPZCI9lLr1kodCITzxxBOGkTorV67EU089lfKyqKTrMUSpoePaCCrU1dXh7rvvjvWQ19XVpbtIY449yaSUjvMxdLpzTqlRXl6OHTt2wO12QwgBt9uNHTt22OJuLg1P13nkNLZUJSY6XsM6OztRW1tr6J2qra1FZ2enqTg69pIfPHjQ0EN+8ODBtJVFFR2PIaJkeDwedHd3w+v1YsGCBfB6veju7k5odJ6V2uRMkkkp3RqoXMQnc3GYdGay83A3u1LRaFKVmOh2DQMGt83j8RjqM4/HY3rbdOvhdLlc6O7uNrzX3d0Nl8vagxx1PIZUsVKCQ+oEAgGMGzcOwKejWMaNG4dAIGAqjtXa5NauiUg7ui10xEV8iDKPXYe72ZGqIcCqFszR7RoGqNs23aYi9Pf3w+VyGabFuFwu9Pf3p6U8quh4DKmgcrg+H9NnLdHPJlrnuN1ubN261fRnZrU2OZNkUk6nBqpud86JdMKGCqWbqkaTysRE5TVMxTmmatt0W3m3pKQEy5YtQ1NTU2xazIoVK9DU1JSW8qikUztIlZqaGlRUVBiOw4qKCtPHom5z42l0VBzTVmuTM0kmW9PtzjmRLthQIR2obDTplpioPMdUbJtuPZzV1dU33D9cBVpP7e3tCIfDCAaDsc8rOgrADKv1JtIgFTf8rNYm55xksjU7zw0iSoaOi/johvPvxp6dFznS8RzTaa0Grh9gLVlZWfD5fIbj2efzISsry1Qcq/Umkrq5xFZrk7MnmWxNtzvnRLpgQ2V47GlPDd2GAKvEc2xkuvX+08319PTg2WefxZw5c2Ln6rPPPouenh5TcazWm0h6TotJBfYkJ4C9C9ai051zIl3YuQdPhfj5d9Feruj8O1JHZW+ibtdmnmNkJyUlJTesE0tKSkzFsVpvIqmfFmOVNjl7kk1i7wIR2YGde/BUUDX/jkamojdRx5V3eY6RnaiaQ2613kTK3N5/JskmqVrdj4gondhQGV78/Lto8ubz+bB58+Z0F41uQNVwwMbGRlRWVsLtdgMAwuEwKisrASS22BbAcywT2fHJAbquIE9jL1Nv+DFJNom9C5QsO148yZrYULk5VfPvKDVUDQf0+/3o7e0FAEgpAQC9vb3w+/1MBsaAHa+Hdh5xyOM5M2XqDT8mySZlZWXhnnvuMRwo99xzD95///10F40swM4XTyI7iT7DdeioITs8w9WOVA0HDIVCmDp1quFGeHl5OUKhkOoim8Jk0jr4iCOyI1U3SKxUl3HhLpO6u7tx+PBheL1eHDlyBF6vF4cPH0Z3d3e6i0YWoOMjQYjoetXV1WhoaDA88qKhoYGLy2hK5WJAGzduNNTRGzduHIMSj56qx69EY+myuJldr4dc1ZzoxlTWZanAnmSTsrOz8eCDDyIYDMbugixfvhw//vGP0100sgBePImsIVOHl1mVys9r+/btuPvuu2PD7Ldv3666uKaonG+tU8+tXa+HmbrIEdFIrDbKgkmyST09Pfinf/qn6+Ykc54ajQYvnkTWwfl31qLi8/J4PLhy5UpsrZFZs2ahq6sLHo9HbWFNUJVM6rbwqF2vh5m6yBHRSKx2Y4zDrZga11cAACAASURBVE0qKSnBihUrDM+JW7FihennxFFm4vMBSSc6Db0k0kEgEMC4ceMAAEIIAMC4ceMQCATSVqbi4mJs2bLFcK5u2bLFdDLZ3t6OnTt34t1338XAwADeffdd7Ny5E+3t7WNU8uGpvB7qVJepfPY3WY9Ox6JurPbsePYkm6TqOXGUmTiEk3Sh29BLIh1Ej/3oNd3tdmPr1q1pPSfKysqwbds2TJkyBVJKfPTRR9i2bRsef/xxU3EcDgeuXLmCZ555BiUlJWhvb8df/MVfwOFIT3+JquuhjnUZR6FkJh2PRZ1UV1dj+fLlcLvdeO+99zBz5kyEw2Hs2LEj3UW7oYzpSVZ1Z4d3CClZ5eXlOHXqFI4fP45Tp07x2KG0sOuiOSqxRyAz6VZHNzU1YeLEiRg/fjwAYPz48Zg4caLpldb7+/uRn5+POXPmwOVyYc6cOcjPz0d/f/9YFHtUVOxr1mWkCx6Loxd9xJ7OMiJJVr2amm4XUKJkMBHITFabG5RqVluFk+wrFAph3bp1cLvdEELA7XZj3bp1CT2W6tvf/rbhJv+3v/3tMShxarEuI13wWBxeTU0NDh8+jNOnT6O1tRWnT5/G4cOHtb2JkBFJMu/sEN0YE4HMZbW5QWaouPHD6wbp5MCBA4Z6+sCBA6ZjuFwuPP/884Y4zz//PFwua8+8s3NdRtai8li0YweG1W4iWLtmHCWrfShEqWK15fhJHbuuwKpqThivG6QLl8uF3t5ew3u9vb2mk9u1a9di165dqKiowPnz53Hrrbfi4sWLpuc268audRlZj6pj0a5zm622on1G9CTzLiOpwLt6ZCd2XV9BVQ8wrxuki/jHTS5cuBBerxdOp9P0XOL6+nrcf//9+OCDDzAwMIAPPvgA999/P+rr68eo5Klh17qMRqZbu0zVsWjXkUxWe8JLRvQk8y4jJYt39ciO7LgCq6obP7xukC5KSkqwbNmy2EJdbrcbK1asML1wV2NjI37729/i+PHjhutYY2Ojpa9jgD3rMhqeru0yFceijh0YjY2NqKmpia1EX11dbXo/W+0JLxnRk8y7jJQs3tUjsgZVPcC8bpAKKnq6qqursXfvXoTDYQBAOBzG3r17TdfTdr2OUWay8/Gs20imTF2/JiN6kgHeZaTk6HhXTwWr3dUjGonKHmBeNygZKnu6urq6cPHiRQwMDODcuXPIyckxXR67XsdUUtFbRqlh5+NZt5FMNTU1qKioMLQVKyoqTLcXde39v5mMSZKJkmHnYclMBMhOeOPHeuyamKhaGNHv98PpdGLGjBl47733MGPGDFy8eBF+v99UHDtfx1SwWgM+09n5eC4vL8ebb76JRYsWobu7G9nZ2VizZk3ajsP29nZcvXr1unPjzJkzpuJYbbHYjBhuTZQsDksmsg4+y9467DyMT1VPVygUQk5ODoLBIFpaWhAMBpGTk2P6Ockqr2O6LZikgp2H7+pG1TQEu7bLGhsbceTIETQ3N+PYsWNobm7GkSNH0naeZWVlYf369YZzY/369cjKyjIVx2q9/+xJJhoF9k4REalntZ4FM1T2dG3YsMGwjzZs2AC/328qhqrrmF17XK3WgLcqVcePndtlKutFFSN1enp6UF9fjzlz5sSGf9fX16Onp8dUnOLiYmzZsgVNTU2x8ixbtkzb3n8myUSjxGHJRERq2TkxUTmvsK6uDnfffXcsTl1dXUJlUnEds+uNDTsP39WJyuPHru0yVfWiqhsS0RX2429IJLLCfllZGWpra1FbW4uSkhK0t7ejqqoKa9euNRUnVZgkJ8Cu86eIiIhSyc6JiaqeLo/Hg8uXL8Pr9eLs2bOYNWsWurq64PF4xqLYI7LrjQ3dFkuyK7sePyqpqhdV3ZCorq6+YbJt9txoa2tDVVUVgsFgrE6sqqoynWynCpNkk+w6zIiIiCjV7J6YqOjpCgQCqKysNLyXlZWFQCCgoITm2fXGhp2H7+rErsePSqrqRVU3JFSdGx0dHTh58iR++MMfxurE3t5ebNu2zVScVBnVwl1CiL8UQvxOCPHPQojZQ76XI4T4ByHEwbj3CoQQJ4QQ/1cIsUtpidNM5cIOdlz4gojGHusOsgs+j3pk5eXlmDNnDs6ePQspJc6ePYs5c+akbR/ZecEkuy76p9M1w87Hjyqq6kWVz1tWcW7o9vznkYzYkyyEmAXg6wA+B2AxgFoAy+N+5FUA/w7AHffeegCvSym3RxLoRVLKZnXFTh/d5gkQUWZh3UF2Y9d5har4fD60trbimWeeMczj8/l8qK+vNxVLxXQxO/e42nE6nW7XDDsfPyqpqBd1G6mjW3lGMprh1mUAmqWU/UKIZgB/O+T7KwGUAFgV9959ANZE/t8E4F4AaU2SVVV8us0TIKLMwrqDKLPs27cPtbW12LBhA06cOIENGzYAADZv3mwqSVaZLNnxxoZuyaQqOl4z7Hj86Ei3GxK6lWckQko5/A8I4QfQK6X8m8jrcwBmSin7437mXgCrpJSrIq/bAdwjpfxYCLEQQIWUcuWQuN8B8B0AmDp16l0vvfTSsOW4cuUKcnNzzW1dxPHjx7F//358//vfR1FREU6fPo2nn34aq1evxrx589ISa968eWhpaYHL5YptW19fHxYuXIjjx4+b3UQAye0jxmEcxklNnGRjse5gHMaxVpxkY5WVlcHv9+Pll1/Ge++9h5kzZ+Khhx5CIBBAW1vbqOM8+uij+O53v4s5c+bEynPy5Ens3LkTBw4cSKhsuu3rZOLYdf/wmpH6OCpiHT9+HH//938fO+e/9a1vmc5ZVJbHynHKysrellLebTq4lHLYLwDfB/C9uNedAJxDfuZeAAfjXv8rgPzI/xcCODTc37jrrrvkSNra2kb8mZspLS2Vra2thjitra2ytLQ0oXgNDQ2ytLRUOhwOWVpaKhsaGtJepvg4yWIcxmGcsYuTbCzWHYzDONaKk2wsl8sl8/PzZWtrqzx27JhsbW2V+fn50uVymYrjcDhkT0+PoTw9PT3S4XAkXDbd9nUycey6f3jNSH2cZGM1NDTIoqIiwzlfVFSUUL6hojxWjwPgLTlCvnujr9Es3PU+gMkAIIRwDebVn/Yij/Q7AG4FcH60SftYUL3cvIrJ61y4gIgSwbqDKLPk5eXh0qVLOHnyJPr6+nDy5ElcunQJeXl5puJYbdGcVLPr/uE1w3pULhKsiqrF33RaRG4ko5mT/HMA3xNC/BUGF+76RyHE0wCOSSmP3uR3WgAsBVCHwUW/9qoobKKKi4uxZcsWNDU1xcbAL1u2LK0Vn9XG5RORHlh3ZC47LipEI7t48SIee+wxbN68Gd3d3cjOzsZ3vvMdPPfcc6biWG3RnFRTuX90Old5zbAe3Z4lrWq+vtXm/Y+YJEspfy+EOADgHQBhAA8AeAZAwTC/9iyAV4QQj2Mwmf6ZisImqqysDLW1taitrTWsDLl27dp0FosLFxBRQlh3ZB6rNS5IneLiYrz//vuG995//33TN/qZLA1P1f7R8VzlNcNadHuWtKrF33RcRG44o3pOspTyWSnlbVLKL0gp35NSPiSlfCnu+ydkZNGuyOtrUspFUso/klKmNxMF0NbWhqqqKgSDQSxZsgTBYBBVVVWmFrwgIiJKFx2H31FqzJgxA01NTZgwYQKEEJgwYQKampowY8YM07Hs+hxgVVTsH56r1qPbEGDdhsir6tnWrYd8JKMZbm15HR0dOHnyJH74wx/G7lz09vZi27Zt6S4aERHRiKzWuCB1Wltb4XK58PHHHwMAPv74Y7hcLrS2tqa5ZHQjPFetRdeef0CfUR+qerZ16yEfyah6kq3OrosxEBFRZoiurRHf27FlyxZexzJAX18fpJSoq6tDc3Mz6urqIKVEX19fuotGN8A2p7XU1NSgoqICPp8PCxcuhM/nQ0VFRdp7/nUa9aGqZ1u3HvKRZERPMherICIaOzotUmNXuq6tQanx+c9/HsFgMHaOff7zn8fJkyfTXayk2bHuYJvTWtrb23H16tXrepLPnDmT7qJpo7y8HG+++SYWLVoUWzxwzZo1ps9V3XrIR5IRSbLVPhQiIqvQcaiaHcWvrRG9jlVVVaGpqSndRaMUOHnyJPLz8yGlRGdnZ2zotZXZte5gm9NasrKysH79esNiUuvXr8fmzZvTXTRtNDY24siRI2hubjacq3Pnzk0oUbbKInIZMdwa0GvYAhGRXXCRmtTo6OjAk08+abiOPfnkk5znmEEuXboEKSUuXbqU7qIooWPdoWoBJ7Y5raOnpwfbtm1DUVER5s2bh6KiImzbtg09PT3pLpo2dDxXUyFjkmQiIlJPx0VqdFupVAXOc8xsQghMnjwZADB58mQIIdJcouTpVndEe7br6+vR0tKC+vp6VFdX26L+oJubMWNGbH6/lBLA4DoAiaweb1e6naupwiSZiIgSplvyZteGbnV1NZYvX27o7Vi+fLm2C56QWg888AAuXrwIALh48SIeeOCBNJcoebrVHZnaW2aGHW9AAkBOTg6CwSCOHj2KYDCInJycdBdJGRWfmcpz1UrHUEbMSdaVHResIKLMotsiNfEN3eicp/3798Pn89mmfo32dlBm8Hg8+NWvfmWYD1hRUQGPx5PuoiVFt7ojU3vLRsuuc8g7Oztx8OBBwxzyQCCAVatWpbtoSVP1mak6VxsbG1FZWQm32w0pJcLhMCorK02XJ1WYJKeJysqGyTYRpYtui9TYtaFbU1ODw4cPG5L/trY2WyX/dGOBQACVlZXwer04e/YsZs2ahf7+fmzfvj3dRUuKbnWH1Z7hmmp2vQFZXFwMj8eDU6dOGepWO3zuqj4zVeeq3++H0+lEMBg03PDz+/1aHkMcbp0mqob12HVoIRFZh06L1Og2hFMVuyb/NLLy8nLs2LEDbrcbQgi43W7s2LFDy0alWarqDhVDOK32DNdUU1kH6TTk1s6fu27XjVAohEOHDhlyn0OHDiEUCqWlPCNhT3KaqDpw7Xpnj4goEboN4VSFvVxEN6ZqZJ5uPdu6UVUH6TZsW9UzgHVk188sVdiTnCaqejs6OjoQCoUMd+RCoRB7F4goI5WXl6OmpgY+nw8LFy6Ez+ezRUPXzr0dNLzoPL5wOGyYx8cRY4NqampQUVFhOOcrKioSujGm06gY3aiqg3RbIC3+GcDHjh1Dc3Mzjhw5YovzS7fPzOPxYOXKlYbyrFy5Utv1FdiTnCaqejsKCwtRVVWFF198MXZ3Z8WKFSgsLByjkhMR6a28vBzl5eWx0TV2wF6uzKXjPD6d1kJpb2/H+fPnDYsB7d27Fx999FFaymNXquog3YYA23lEpm6fWfz6Cu+99x5mzpyJvr4+1NXVmYqTKkyS00Rlg2foSqdc+ZSIyH7smPzTyEKhEI4ePWpoxB86dAgLFixIS3l0G3rpdDrR399vuInw4IMPwul0prwsUTrdRFBJRR2k29QR3ZJ21XT6zKJD2/ft24eBgQG8//77Wg9t53DrNFIxrKezsxOBQMAwzCgQCKCzs3MMSkxERESp1traaphW1dramray6DZctq+vD+PGjTO8N27cOPT19aWlPFxQdXi6TR1RvdijTouSqaLqM7Pa0HYmyRYXv3R9NNn2eDxczIWIiMgGCgoK8PTTT8Pr9eLIkSPwer14+umnUVBQYDqWiga8jj1vjz76qKGz4NFHH01bWXS7iaCSiuNHt3UjVCbtdr1Bouozs9q5weHWFmfXlVyJiIgImDBhAvr7+1FfXx+bx5ebm4sJEyaYihNdAMztdgNAbAEwwNwwad2Gy3o8HrzwwgvXrc2SrsWAdLyJoILKYfY6TR1ROf3R7vObk/3MrHZusCfZ4nS7I0dERETqdHZ2oqKiAu+//35sHl9FRYXpaVV+vx8ulwvBYBAtLS0IBoNwuVzw+/2m4ug2XDYQCKCvrw9erxcLFy6E1+tFX18fAoFAWspj12e1W60X0AxVq5pbLQk0Q8UoAqudG0ySbUC3RxbYcT4GERFROhQWFqKpqckwj6+pqcn0UyxCoRBWrVpluKm+atUqhEIhU3HKy8uxZMkSLFq0CPPnz8eiRYuwZMmStLU9ysvLsWPHjlgPudvtxo4dO2wxfFcnKhNAu7YTdUwCVexrVcPIrXZucLg1KaXbqpdERERWd/XqVXi9Xpw9exazZs3C1atXMXHiRNNxDhw4gIaGBsOjpMxqbGzE4cOHMX36dJw9exbTp0/H4cOHMXfu3LQmynYcvqsTVcPs7dxOrK6uxvLly+F2u2Pnajgcxo4dO9JSHlVTLFQNI7faucGeZFLKzsNxiIiIUu3cuXPo7+/HuXPnIKU0vDbD5XKhu7vb8F53dzdcLnP9JfHPbT569CiCwSCcTqfpYdt2ptsIPxVU9QKqbCfq3CMthEh3EeD3+9Hb22t4r7e31/S5qnIUgZXODfYkU4yK5/rZeT4GERFRqjmdTowbNw6vv/56rOftG9/4hunnAEd/N75HOvqMYTN0e24zpYaqXkBV7cT4XlIpZcK9pCrV1NTg8OHDhnOjra0tbQt3hUIhTJs2zfAM8YqKCtNTLHRbrC9V2JNsAzrNN9BxPgYREZFV9fX1QUoJr9eLBQsWwOv1Qkpp+jnAJSUleOyxx+B2uyGEgNvtxmOPPYaSkpIxKjnZjYpeQFXtRL/fj56eHsN7PT09CY1oUNUjrWNH0YYNGwy99hs2bDAdw2pziVVhkmxxqpJbVcNfVD9vTtdhNERERKkipQTw6RDO6GszqqursXfvXoTD4VjP2969e01fnz0eD1auXGm4zq9cuTJtj1wC2F6wkui83aKiIsybNw9FRUVYvny56eMwFAohJyfHMOw/JyfHdC9ptEc6HA4D+HTebrpXb/b5fMjJyUFZWRlycnLg8/lMxwCAuro6w7laV1dnOkZ5eTluv/12zJs3D/Pnz8e8efNw++23az1UWgUOt7Y4VZPpVd39UjUcx84LOxAREY2Wy+WK9RpHk+O+vj7Tc4njJTNfMhAIoLKyEl6vN/bc5r6+voQa3yqobC+omHZGo5fIzZ54GzduNLR/N27caLonOf7RaPHP2fb7/aY/+2hHUfRYjHYUme1w8vl82LNnD2pra1FSUoL29nZUVVUBAOrr60cdx+Px4PLly4YpFl1dXaZvaPl8PrS2tuKZZ54xlMfn85kqj9WwJ9niVCW3Ku9+qRiOwwXAiIiIBucSh8NhhEIhSCkRCoUQDodNzyWOzpc8ffo0jh8/jtOnT+Pw4cOmr6u6PXJJVXtB1cg8Gl78cdja2prwcQgA27dvN/SSbt++3XQMVY9GAwbPjZqaGkOsRDqK9u3bh9raWmzYsAE5OTnYsGEDamtrsW/fPlNxAoEAsrKyDO9lZWWZfoa4qvJYDZNki1OV3Oo230DHeR1ERESp5nQ64Xa74fF4IISAx+OB2+02vXCXXVeoVbVdvDmfGqo+L4/Hg66uLni9XixcuBBerzehXlIA2LVrl2Eawq5du0zHiFJxbnR3d2Pt2rWG99auXXvd6vSjKUv0hlZ0HYJEbmh1d3fjyJEjcDgcKCsrg8PhwJEjR0yXx2qYJFucquRW1d0vVbgAGBER0eDQ6t7eXpw5cwZSSpw5cwa9vb2mF+6y63VV1XbpeHNet7nWKsqj6vMKBAKxR6ENDAzEHo1mtpfU6XTik08+QVdXF4QQ6OrqwieffGL6JpRK2dnZ2LNnj+G9PXv2IDs7Oy3lEUKgtbUVa9euxRtvvIG1a9eitbVVi8dcjSXOSbY4lQ/mLi8vR3l5eWxuRzqpmtehEucqEVEiWHdQsnp6epCfn49PPvkEt9xyCz7++GPTMXS8rqqgart0e8yNbmuzxD9yCUDCj1zS7Tjs7++HEAJSSgwMDEBKCSGE6ekMKq1ZsyY2B7mkpATbt29HVVXVdb3LI1F1DEX3yW233QaXy4Xbbrstts/sjEmyDeiU3KqiMvlXQbeLFRFZA+sOUsHpdOLKlSsYGBjAlStXEnq+sW7XVVVUbZduyZuqhVlV8fv96O3tBfDpglu9vb2mF7gqLy/Hm2++iUWLFqG7uxvZ2dlYs2aN6W3y+/3Izc3Fa6+9lvSCWw8//DD+5V/+BR9++CEmT56M++67L6299tHFsDZv3hzbR2vXrjW9SJbKY2j16tWG8qxevRrPP/+8qRhWwySZtKVT8q/bxYqIrIF1B6nQ39+PvLw8fPzxx8jNzU2oJxnQ67qqkort0u0mgm7Dv0OhEKZNm2ZYBbqioiKhRy4dOXIEzc3NhhuHc+fONbWvQ6EQjh49aqhbX3jhBSxYsMDspqGtrQ0NDQ2G7Uq3+vp61NfXJ3VMqzqGhBAYN24curq6YuV5/PHHbT/cmnOSiUZBt4sVEVkD6w5SYerUqbh69SoA4OrVq5g6dWqaS2RPOi1IpuMc8g0bNhgWNtuwYYPpGDU1NaioqDCsgVNRUZG2HnuPx4Nr164ZFgC7du1aWp/7rYqqY2j+/PnYvXs3Hn/8cVy5cgWPP/44du/ejfnz56ssrna0T5JVLVqg2+IHKtl523Sh48WKiPSnsu5gXZ+5PvjgAyxcuBCvvvoqFi5ciA8++CDdRaIxpttTRwCgrq7OUJ5Eno3d3t6OhoYGw6O2Ghoa0N7ebiqOx+PBI488YijPI488Yjq5jX9MUnQYeSKPSYrSqZ5WdQy1tLTgzjvvxO7du/HAAw9g9+7duPPOO9HS0jJGJdeD1sOtVc3lsvOcMDtvm050m6tERNagqu5gXZ+5hBDIz8/H66+/jtdffx0AUFBQkPCQa7IG3YZ/ezweXLlyBV6vF2fPnsWsWbPQ3d1tOinNysrC3LlzDds1d+5cdHZ2mooTCARQWVlpKE9/f7/pZyVH92dNTU3sMUlbt25NaD/rVk+rOoYaGxtx5coVtLa2GrarsbHR3tcfKWXav+666y55I6WlpbK1tVVKKWVbW5uUUsrW1lZZWlp6w5+/mdLSUlldXS1LS0ulw+EwvE5GtEzJSiaOqn2kqjx2jtPQ0GA4hhoaGtJaHsaxZhyVsRjHGnFU1B2s660bJ9lYACQAuW7dOvnGG2/IdevWxd5LR3nsHIfX+ZtraGiQU6ZMkbNnz5YOh0POnj1bTpkyxfQ+EkJIp9Mp6+rqZHNzs6yrq5NOp1MKIRIqk4rPS1UclfW0TseiyjwqHdsF4C2ZQH6qdU+yqrlc7e3tCIfDhsUGoneerE7H+W52fdyJXRc8IaKxpaLu0LGup9TIzs7G3XffjWAwiN27dyM7Oxv33HMP3nrrrXQXzVZ06wXUTXyPK4CEe1yzsrLw4IMPIhgMxtqJDz/8MH784x8nVKZk69b4R1tJKRN+tBWgrp5WeSyqaJO3t7fj/Pnzhn20d+9efPTRR6bLompfp4LWc5JVzeXKysqCz+czLDbg8/licxCsTLe5stETO36uSXV1NefOERElQbe6nlKnp6cH7777LqZPnw4hBKZPn453330XPT09pmPpNF9SN/Er0Ufbivv370/rtCrdPi8VC5v19PTg6NGjCIfDAAaft3z06NGEjmcV/H4/nE4ngsEgjh49imAwCKfTCb/fbzqWqnpa1bEYTUrj93VlZaXp48jpdMYWDoy6evUqnE6nqTgq93UqaJ0kq5pw3tPTg2effdYQ59lnn03bCamSbgs76HiRISKyOt3qekqdGTNmxJ5PG33kSm9vL2bMmGEqjsqb2LolbyroNlojPsGJ73Wz+r6eMWMGwuEwzp07h4GBAZw7dw7hcNj08axKKBTCoUOHDO3WQ4cOmX60FaCunu7o6EAoFDKcY6FQyPSx6Pf74XK5EAwG0dLSgmAwCJfLZTop7evrw7Vr1+Dz+fDTn/4UPp8P165dQ19fn6k4Kvd1Kmg93FrVhPOSkhIsW7bMEKeiogJNTU1jUeyU0m1hB90uMkREdqBbXU+plZOTc93zac2Kf/ROfFvI7HGk47BkFUNKo72AZWVlsfeSWYk+2fLE97rFf+5+v9/S5/3Vq1dx7do13HrrrTh//jwKCgpw/vz563oqU6m1tRXf+973Yp/XAw88kFAcVfV0YWEhqqqq8OKLL8Y++xUrVqCwsNBUHJXPkn744YevGyLf0NBgOk5bW5thXy9dutR0jFTROkkG1Mw3qK6uvmGFbpfeTZ3myqq8yBDZjV3n69t1u3SjU11Po6Pi3Ojs7MTBgwcNDe9AIIBVq1aZitPe3o4PPvgAubm5AAaHXj733HP4wx/+YCpO/Iix6LG4f/9++Hy+tJz3qpJ23Vaiv1GCc+jQoYQSHJ1cuHABeXl5GD9+PABg/PjxmDhxIi5cuJCW8hQUFODpp59GIBBASUkJ2tvb4ff7UVBQkFA8VfW0jDyO6mavU+2nP/0pJk2aFBvV8NOf/tR0jIKCAgQCAWX7eqxpnySrwDvwqcNHJRHdmI69LyrYdbuIkqXq3CguLsbOnTvR3t4OKSXa29uxc+dO0zefnU4nBgYGDD2TDz74oOl5hfFDQaNtqqqqqrSNGFOVtKtqK+p2EwHQ70bmD37wA3z/+9+P7Z+nn346bfNSJ0yYgIGBAdTX1+O9997DzJkzMXHiREyYMCEt5QEGb4w99thjWLRoEbq7u5GdnQ2v14vnnnvOVByPx4OvfvWrhumlWVlZph/bFX3kXE5ODoQQ6OrqwieffGI6uZ0wYQKuXbuGJ554Ar29vRg3bhyysrLSuq+Ho/WcZJVULDZAIysvL0dNTQ18Ph8WLlwIn8/HGxKUFrrNmbPrfH27bhdRslSdGw6HA2+99RZyc3PhcDiQm5uLt956Cw6HuSZcX1/fdQuWZmVlmZ5XWFhYCL/fb5jb7Pf7TQ8FVUXlNC8VbUVV5fF4PFi5cqVhfuvKlStNJzg6LqhaU1ODoqIi3HfffSgqKkr4eqHiOt/Z2Ym7774bZ8+excDAAM6ePYu7777b9HObVSosLERTUxOam5tx7NgxvOPdOwAAIABJREFUNDc3o6mpyfQ5lp+fj56eHuTm5kIIgdzcXPT09CA/P99UnAkTJiAvLw85OTkABqd/5OXlmU5uz507B7fbjRkzZkAIgRkzZsDtduPcuXOm4qRKxiTJlDq8IUHppmOjwK7z9XXcLt1ukFBmUnVu/OY3v4HT6cTly5cxMDCAy5cvw+l04je/+Y3pMj366KOGm9iPPvqo6RjApwuI3ex1Kum28ruq8gQCAfT19cHr9WLhwoXwer3o6+tDIBAwFUe3G5kFBQW4dOkSurq6Yr2Sly5dMt0rqeo6P2nSJLS1teGZZ55Bc3MznnnmGbS1tWHSpEmm4sSXS8X1R8Vw61OnTuH+++/HrFmzIITArFmzcP/99+PUqVOm4nR2dqK+vh5utxvA4OO/6uvrTd9IyMrKwqZNm3D69Gm0trbi9OnT2LRpk7ZPG8qI4daAfkNNiGjs6Djcza7z9XXbLg7/Jl2oPDeix3L8v2Z5PB4cOHAADQ0NhoWgzPZMqhoKqopu07yqq6uxfPlyuN3u2PDdcDiMHTt2mIqj6rnEut3IjA5vju+VvOWWW0z3Sqq6zl+6dAk5OTmor6/H2bNnMWvWLOTk5ODSpUumygOou/6oWodASokf//jHuOWWW2L76JNPPjF9A6C4uBivvPIKfve732FgYAC/+93v8Morr5iuy6JPG5ozZ07sXNX5aUMZ0ZOsY68SEY0d3RoFgH0f4aPbdunWa6ISe8itRfW5MXnyZMO/ZgUCAfT398Pr9WLBggXwer3o7+833TNZWFiIV1991TAU9NVXX03bcGudp3klu9iSipF5uvW0d3Z2YufOnYZeyZ07d5rulVT1mKS+vr5Ywh4dEZGTk2N6GgKg7vpTXFyMd955x/DeO++8Y/ozE0Jg06ZNhvc2bdpkeuTHjBkz0NTUBK/XizfeeANerxdNTU2mH9tVUlISW2E/eq5WVFSgpKTEVJxUyYieZFWPPSAia9CtdxOw7wKCum2XjjdIVGAPufWoPjc+/PBDw7+JlqempgZCiIR7JgG9hlsDeq38XlNTg8OHDxt6ONva2tI2kklVz7YqxcXF8Hg8OHXqlGH/mL0+FxYWwufzxebXhsNh+Hw+0zdrhBB46KGHsGvXrlh5Hn/8cezZs8dUHEDd9aesrAy1tbWora2NrQJdVVWFtWvXmoozf/587N69GwCwePFiPP7449i9e7fpFdJ/8Ytf4J577kEwGMTu3buRnZ2Ne+65B7/4xS9MxbHa04YyIklub2/H+fPn4Xa7Y0uX7927Fx999FG6i0ZEY0C34XdROjXkVNJpu3S8QaKCyikEPp8P+/btiw2VXbNmDerr68eo5JlN5bkxMDBg+DcRb775pmHI5JtvvqnkkVS1tbWmh4LalY436rq6unDx4kUMDAzg3LlzsZ7TdFB1fb569SquXLmCv/qrvzI8Tsjsau1SSuzbtw+33XYbSkpKsH37duzbty+hUQCqrj9tbW2oqqoyPJe4qqoKTU1NpuK0tLRg4cKF2LNnD3bv3g0hBBYsWICWlhZTcbq7uxEKhdDc3BxLbh999FF0d3ebiqPbTfWRZESS7HQ60dfXZ3jswTe+8Q3TJxIRWYPVKmJSR9cbJMlS1fD2+XzYs2fPdT0UAJgoa27atGk4f/48br31Vvz+9783/fs+nw+7du3ClClTcP78eUyaNAm7du0CYO6zVzUUVEcq1q/R7Uad3++/bg57f38//H5/Wq6Jqq7PFy5cwKZNmwyJpN/vx7Zt20zFKS0txe23347NmzfHbhx+9atfxW9/+1tTcQB115+Ojo5YvRz1uc99LqEbLdGEOJkbdUIILF682HCTdvHixQn1tut0U30kGZEk9/X1YWBgAF6vNzbUZGBgIKH5BkRkDVaqiEkdu94gUdXw3rdvH2pra7FhwwacOHECGzZsAABs3ryZSbLmoolxIgkyAOzZswfjx4/H+PHjASD2/z179pj67FUNBdWNqikNut2oC4VCcDqdCAQChh7XUCiUlvIA6q7PZWVl2Lp1ayzOsWPHTCfJ0SHA8b2kiX5e5eXlePPNNw2L2q1Zs8b09Sf6mLWhi+yla96/lBLPPfccXnnlFXzwwQeYOnUqPvzww6Tn3OsuI5JkYHBFtXPnzsWGmrhcGbPpREQZxY43SFQ1vLu7u69LZtauXYuNGzeqLC4pdLPVrM2Ohuvr64PL5cK5c+cgpcS5c+diI+3MUDUUVDeqpjToeKNu9erVhhtj77zzDvbu3Zu28qjg8XjwzW9+E/n5+bEOsI8//tj0au0qP6/GxkYcOXLkuoR77ty5puPpNO/f4/HgwoULuHDhAoDBXvycnBzTj+2ymoxY3drhcKC7uxtPPfUUmpub8dRTT6G7uxsOR0ZsPinClWWJKF1UreCbnZ193RC5PXv2IDs7W2VxSaHo/NHoAkXRfxOZV9rV1YXPfOYzcDgc+MxnPoOuri7TMTo6OvDkk08aVl1+8sknLb84nqrVkgE1q1ID6todr732mmGV9ddeey2hODpZtmwZLl++jGvXrmFgYADXrl3D5cuXsWzZMtOxVH1eqla37uzsRG1traG+r62tNb0CuEp5eXloaWnBsWPH0NLSgry8vITiWKktrX2WqGJnDgwMIDc3F/X19ViyZAnq6+uRm5ub1OIXZB0qjiE+RoyI0u1Giy6ZtWbNGlRVVWH79u3o6urC9u3bUVVVhTVr1oxBia3J5/MhJycHZWVlyMnJgc/nS2t5wuEwli5diqtXrwIYXLBo6dKlCIfDCcU7f/48BgYGcP78+YR+X7dHCqlSWFiI7373u7H9Gg6H8d3vfjdtQ1xVtTtcLheuXLliePTXlStXEhpRqVOC09bWhk2bNmHy5MlwOByYPHkyNm3ahLa2NtOxVG2XqrUj4lcAjybuHo8nrY/t+vrXv45FixZh/vz5WLRoEb7+9a+bTtobGxtRWVlpOMcqKyv1bUtLKdP+ddddd8kbaWhokEVFRbK1tVUeO3ZMtra2yqKiItnQ0HDDn78ZAHLp0qUyOztbApDZ2dly6dKlcnDzE9fW1pbU7zPO2MdRdQyVlpbK1tZWQ3laW1tlaWlpwmXTYf9IObiPSktLpcPhkKWlpab3jery2D2OyliMkzlx1q9fLx0Oh5w6daoUQsipU6dKh8Mh169fn1Cs+OthIjHi6bB/VMVZv369dLlcsq6uTjY3N8u6ujrpcrnSuo8AyKNHjxriHD161HQbBoAEIB0Oh+Ffs3FUXVfj6XAdKygokE6n0/DZO51OWVBQkHC5ktkuVe0OVXWHbp+7w+GQPT09hjg9PT3S4XCYitPQ0CCnTJkiZ8+eLYUQcvbs2XLKlCkJbZeqz0y3fe3xeOSkSZMM+2jSpEnS4/GYjjN9+nTDdk2fPt10nHij2S4Ab8kE8tO0J8hymCRZ1cFWUFAgHQ6HoeJzOBxJVXzxZUoW44xdHFXHkKrKOJ4O+0e3ijgT4qiMxTiZE8flcsns7Gw5btw4CUCOGzdOZmdnS5fLlZby2DVOdna2rKurM8Spq6uT2dnZaSuTx+OR06ZNM9TT06ZNM92wBCBdLpecPXu2dDgccvbs2dLlciXUYaDTzdX4JCe6XYkkOQDkF7/4RSmEkACkEEJ+8YtfTKpDRYckUEo1N8Z06yxQVR5V55eUattUOp1jBQUFUgghp02bJh0Oh5w2bZoUQpjOo1Td8Is3lkmy1sOtVQ1bmDBhAvLy8lBfX4/Fixejvr4eeXl5mDBhgsrikoZUDn2x4/AyVfNniGhs9fX1obe317C2Rm9vL5/SoNjNFjYz+zxQlQKBAPr7+w3DZfv7+xEIBEzH6uvrw5kzZzAwMIAzZ84kfPyomsOpgt/vh8vlQjAYREtLC4LBIFwuF/x+v+lYv/71r3HrrbcCAG699Vb8+te/Vl3cUVPZ7qivr0dXVxfa2trQ1dWV0Er2Kp//rGJ4c3Qxw7a4udarV69GdXW1qTihUAiHDh0ytIMOHTqU0OrfqtaOiMbS5Ry7cOEC8vLykJOTAyklcnJykJeXF1vIy660TpJVVRCdnZ3YuXMn3G43hBBwu93YuXNnWifAU2qoOoZUVca6UXnRo5HpNJ+LrOcLX/gCgsEglixZgmAwiC984QvpLpLt6LiwWXl5OXbs2GFow+zYsSPp1XJHet8qQqEQXnjhBUOS88ILLySU5Agh4Pf70dzcDL/fn9Z9o1u7Q1V7StVc6/LycixZssQwT3bJkiVpf9yfTsmtSosXLzbUQYsXLzYdw+Px4Gtf+xqysrJQVlaGrKwsfO1rXzO9InmqaJ0kq6ogdJsArys7NuBVHUMq7w7qxK495Dri4m+UrJMnT+IrX/kKXnvtNXzlK1/ByZMn010k21G9sJmO19X8/Hw4HI7YKtmJ0HG7VLjRqMN0KS8vx+2334558+Zh/vz5mDdvHm6//fa0tTtUtadqampQUVFhaE9VVFSYHsEW/7ilY8eOobm5GUeOHDF9LHo8Hjz00EMoKirCfffdh6KiIjz00EPaJm5mqTpXX375ZXi9Xhw5cgRerxcvv/yy6RglJSW4du0acnNzAQC5ubm4du0aSkpKEirTmEtkjLbqr5vNSZZSzZj8sZh3KaUe86dUxbHz3FSd5nXoFsfOn7tucXSbz8U41oqDIQstxb9OR3nsHEfVwmaq6ldVCwsBkLNmzTIcQ9HXZsuj03VD5ZztL33pS4bP/ktf+lLazrGxWEROh3NDCHHD40cIYSqO6oXN4ufbJrooopTq2pw65T8ul0u63W7DvH+32216TYzs7Gy5YsUKw3atWLEiqTUfxnJOctoTZDlCkmxmJwxHdaKkokw6xWEDPnPj8CZCauI4HA556NAhw74+dOiQ5Rd/Y5zUxBmaGCe6MrGUPOdTFUe3hYWix83QRUzNHkO6tRdU3URwu90SgFy3bp1844035Lp16yQA6Xa7Ey5bMtuVroTiZlQlXKoWx1O1sFlpaalctmyZIflftmxZQsezyhtjOj2ZRQhxw3PM7I0NADIcDhvKEw6HtV24y/xD0iyqvLwc5eXlOHHiBO699950F0c7nJuauXhupEZhYSGqqqrw4osvor+/H06nEytWrEjbMzjJWqLPNI0utDQwMJDwc06rq6uxf//+2HG4evVqALD89BHdqLquhkIhPPHEE/D5fOjo6EBxcTFWrVqFp556ynSZBtuLN389Gh0dHQiFQrjjjjti5amqqkpbeyF63NbU1MTmS27dutX08Zyfn4+BgQE8//zz2L17N8aNG4fx48f//+y9e5RV1Z0u+q21V9XetesBtUUQassjIB2qxBbCGAnljcpDHNBQMQ+Dhd23E3Il1umiM7qFSiGaHmfccLGLkDvSeMRHLJSRgIknl1h2YAAB7Zyr3X1O0toGMd42LSjgi6dUYb32nvePYm7m2myQOddXrMmu9Y1RY7sL+THXXPPxe36/QGnpQdDT04OXXnoJ7e3tub26dOnS0EjkVKJPqS88+eSTWL58udZc9/b2Yu3atdiwYQPeeecdjB07Fp2dnejt7dUajywXmzVrVu53JuVi+/fvx5kzZ7Bjxw7fmXjgwAEtOQBvjlhyWGdQbW0t7rjjDvzyl7/M7bG7774bv/zlL7XkxONxLFu2DK+++mru7LjxxhtD5Xy4GKyuSY5w+RDVpkaIMPhgKKgRhib6+/shhMD69euxY8cOrF+/HkIIbXbiiNH+8oF5rz711FM+PoOnnnrKaEwVFRVobW3F/Pnz0dramqsN1MGYMWPQ0tLiG09LS0uoDj8GWdKRI0fwjW98A647oBq7rotvfOMboZG8Oo6D+fPn+/bq/PnzQyMTYxlcNTU1uXNL3oH9/f2oqanRksOqkS4tLUVzc7Nvnpubm1FaWqolB+DNkW2dWVavXo0tW7b49vyWLVu05/qWW27BT3/6Uxw5cgRCCBw5cgQ//elPccstt2jJuVyIjOQIALgsiiySgGIlBokwNHHkyBG0tbX5yEra2toilv0Il4zFixf72K0XL16sLUONAsqz9dChQ6FmDRXrWb969WosXrwYEyZMwJw5czBhwgQsXrxY+171PO+8KFtvb692JkE8Hsfo0aNzBkp/fz9Gjx5tFMXJN9SudIZsYMD437Ztm48Iatu2baEZ/0IIPPHEEz4SuSeeeMLIucrYY0ynD8NhzCJUlZFtdZ+uXbtWO7IN8OaIadwyziAWk/j+/fuRTCbR2dkJIQQ6OzuRTCaxf/9+LTmXC0Mm3dpGbN26FWvWrMmlHKxevTq0dDf576rpXCaHDSuVL0oJjFBsUFn2ZfrUCy+8EGVrRLhk/OpXv8qlfnZ1deFXv/qVtgwZBdyyZUvubF2yZElohsBQOeuDZI1kMhm4roulS5fm0lNd10Umk9GSM3nyZPz+979HQ0MDvvnNb2LTpk3o6OjA1KlTteQcOXIE3/72tzF//nz09PQgHo9j6dKleOyxx7TkMMHSp2wy/uvq6nDdddfh/vvvz83zwoUL8R//8R9aclh7TAZTpBwZTNHNQjl8+DCuuuoqAOfmt6SkBIcPH9aSA3DKxWpqanD69GkA5/ZpX1+fdmQb4M0RS46KIGeQyiSurqH6+nqtNXTo0CHs2rULt912W+6d7d69G/PmzTMe26DCpJCZ/XM5iLvYcoLKso0dUo4pKJkLiyTANmKQSE4kh7G/bNvzkZwrR04qlRKO44hRo0b5PlOplJacdDotRo8e7VuHo0eP1iaBUhGRRhYG8z5cvXq1736W33UQj8fF5MmTheM4AoBwHEdMnjxZmzDJtjXEIu6yjVzRNvImOaageqJthGTs9cxkxy82nRyAWLVqle+5Vq1aZS1xV+gGshiiRrJtigHrMGaxDbLkqLBtDUVyhp6ciFU4kmOKdDothg8f7jMEhg8frq3I2WYIFPNZz3o21QiU7VeCtIBS73mTFlAstm0VQfcGYzy26WVCcO4M2/Y8gIKtrUwMJdb8NDU1+QzbpqYmo/lh7VUVNpyvLDnS2au22zJx9qoYTCM5qkkOCbaxSbPIXGyrx4gQwSYwyGUiDE0cOXIEjY2NeO+99yCEwHvvvYfGxkbtmvYpU6bgzTff9P3uzTffDO1stfGsZ9VIM5+tp6cHhw8fRjabxeHDh40Yjh3HwaRJk3w1nJMmTdJOKbaNX+HQoUPYvHmzT3/ZvHkzDh06pCXHRm4Wxp3BJFpjPFc8HsfnP/953H///Zg/fz7uv/9+fP7zn9eujZdp5OpzrV69WntMY8aMwdatWzF69Gg4joPRo0dj69atRvPT0tICz/PQ3t6OnTt3or29HZ7noaWlRVsWA7bq5EIIZLNZ+8lLTSxr9k8USR6QE6bHkunxtqlHnArb1lAkZ2jKYcqK5AwdOaxIcnNzc8EojmlKoBB2ZDHZOB6WrHQ6LYYNG+aLTg0bNsyoTzIK9AHGFd4nGcQUTkZk0rY1zTo7WM/lOE7B0hHdnrusdZhKpQr2DzeJbgIQu3bt8o1p165dg55OfCEwdfLKykpRUlIiAIiSkhJRWVlplM3S2trq22Otra1RuvXFfoaikWzbIWpbzQpTjoRtayiSMzTlMGVFcoaOHJYix6pvVWFDSilLDtsAZIwJQEEjWVexjMfj4qabbvKllcrvOrBNf5F7Y9SoUQKAGDVqlLGRwxiPbU4Ex3HEiBEjfOtnxIgRoRmlnueJ0tJSn8FVWloqPM/TksNKI2cabkyHjYQN52tzc7NwHEfEYjEBQMRiMeE4jrZzNSwnQmQkXyJsUnRtMgJtq6OI5AxdOTYpzEw5KmyZ60jOlSMHgJg+fbqPdGn69OnaykWx1gDbxquRj6Dvvrq62vds1dXV2u/ecZyCc6RrLAlhl/4SVp3jhWDbHovH42L9+vU+OevXr9d2jrCeSxpZqsNPGl86YGZYsIzkVCpV8NnCWossOZ7niVQq5Ts7UqmUtmNDfWcyq8HknakYTCM5agEVIhjU9YOBgfUUIcLlx9atW/Gd73wH5eXlAAba3HznO98BEE4LsaHSnibClYFXXnkFI0eOxAcffICRI0filVde0ZYha8tmzZqV+13YNcAMqLwa8k598sknsXz5cq29auv89Pb2YunSpTh48CDGjRtn1MO1trYWZWVlmDNnDoQQcBwHn/vc55BMJrVl2aS/HD9+HK2trXj++efx4Ycf4qqrrsI3vvENPPTQQ6GMx7Y11Nvbi4cffhjTpk3LtRN6+OGHtdcQ87k+85nPYMWKFbl1OGnSJO3WVmfOnEFnZye+973voba2Fvv370dLSwtisZiWnFQqhXXr1qGtrc0nJ5VKackBgGQyiUwmgw0bNuT2akVFhdEeswn9/f34yU9+4jtff/KTn2DBggVacu644w48/PDDOHXqFADgwIEDAIC/+Iu/YA+Zg0uxpAE8COAtAP8LwPi8P/sWgP8AsA/A587+bgKA/wHg3wH8HEDpxeQP1UiyTXJsSw+K5AxNOaxWDKyU0sHYF6qsoIjkDB05OBs9ViMUMqqsA9tSZVlyWKmX7PlhpVsD8EVK5e90MG/evII1yfPmzdMek02RZFhYB1pVVeVLJ66qqgq1nI5xH7L2hly71dXVwnGcXFaE7vsCKbuGFZEWgsskbtseq6+v95Vq1NfXa891WKURGKx0awDjAPwbgBiARQB+pvxZ2VkDuQLAVAD/cvb3jwD438/+9yYAX7/YvxEZyeHLsS09yEY5Nh1YTDk2PRdL2WGlFdqYehnJGZpyAIiqqiqfIldVVRUaOZEKG+aH2ZaI2eeUYVR4nifi8bjP6IrH49qpjqw+ybY5Wmzr28yq35Sygq5FNhmdLU4fuYbz0+x15TANW5Zj3bY9JtdgQ0OD2LZtm2hoaMitSR0AEG1tbb7xtLW1Xbk1yQC+AWDN2f/2ALyj/NmtAH6qfH8LQBLA3wP4L2d/9/8AuO1i/0ZkJIcvh0nmUowKmG0HFkuObc/FMpJZNVhRJDmSY4scAKKxsdF3tjY2NoZKCGOTHJahxDwTWecHgFz0RbIBu65rZFQwakFtyzyzjVPF87yCNeS6To3m5uac8ad+mhrKtuhlUIjo1LpUUyM5aHYNm7iWcX7YtsdYZGsAxMqVK31rceXKldYayY74lPpTx3FaAPQJIf7vs98PAxgrhMg4jvN1ADcJIb5z9s/+GcASACcB7ALQDeB/CiHuKyB3GYBlADBq1KjPPfPMMxcdR2dnJyoqKi76/1wKWHKYsmyQ86Mf/QjPP/88li1bhtmzZ2Pv3r14/PHHsWjRolxN6KVgz549ePLJJ7Fy5UpMmDABb7/9NtatW4dvfetbmDNnjtHYbJifb37zm/jrv/5rTJs2LSfnlVdewT/8wz9g06ZNl308LDm2PdfXv/51ZDIZPPDAA7n18/3vfx+xWAw///nPL1nO7NmzMWrUKLS0tOTktLW14YMPPsDevXsvWc6ePXvw8MMPI5FI4MMPP8TIkSPR3d2N5uZm4/UM2PHubZSzZ88e/OQnP8E777yDsWPH4s///M+jeT6LhoYGnD59Gq7rIpvN5j4rKyvR0dFx2cdjm5w5c+bgu9/9LrZu3ZpbP42Njfj7v/977Nmz55LlMM/EOXPmYOfOnfA8Lyerv78ft99+u9aY5s2bh1tuuQVvvfVW7tkmTZqEf/qnf8KuXbsuWc6sWbNQX1+PNWvW5MazevVqvPzyy3jhhRcu+3OpKKazY9asWXjooYfw+c9/PifnX//1X9Ha2qo1z3PnzkUymcR//a//NXeP/d3f/R3OnDmDX//610Zjs2GeZ82ahdmzZ+M///M/c3I+85nPYO/evVrzM2vWLMRiMWQymdzv5HcdOXv27MEPf/hD9Pb2or+/H57nobS0FH/7t39rtIYYc8Q6z1jjmTVrFsaNG4eDBw/mfie/654dQgjce++9OVvj0UcfheM4g3p2zJo163dCiBnawj/NigawEsDfKN+PAIid/e87AfxI+bN/BvAZAF8HsBMDUeh/A5C+2L8RRZLDl2NzDacN81Os6ei2PZcaEZAeZpOIQF1dnbjjjjt8aWp33HGHUcoTYzz5sOHd2ybHtqwG2+TIelIZQZSfJvWkjPHYJod19zDPRNaY5Nmj7g15JukAQMEe2bjCI8lC2BcpZaSUAhDbt2/3ydm+fXtoJRasM1qykef3SdatS8XZFG1VjvydDmTEPr9ONkjveCHsKB9h9rbG2Tpy13VzdeS6Z1Ax1iT/Ofzp1oeVP/vfcH66deVZw3j82d8tA9B2sX8jMpLDl8NSDGwzulhyWEYXazwsOcWq7DQ3NxdUBnUvPfb8sGodJWxYQyw5Nq5Fm+SwetwKYZdBwZJjY5ojc0wMJ3ax9km2Ld1aNQTU9HgTI5BhbNu2DmXNtjRopbFl0nOXkW7NKs+SYNzzTBJTVsmHNJLVT925dl1XzJ0718eLMHfu3EG3EQbTSL4GwO8wQNzVAOAZAOsAzANQCmA/Boi7/hTAP5/9O/8vgC+c/e/vAXjwYv/GlWYk29p/1QYFtVgVXSYrKGM8LDm2KTssOazLnOn0YRnuKmyYa5Yc5lzbdLay5AAQV111lS+r4aqrrgpNYVZhw/wIYVe0zMYxFWuNazqdFsOHD/cZycOHDw+NtI1F3CWNbfXOMDG2WfchK6MhnU7nalvlT0lJiVF/40JyTCL2XV1dQohz67Crq8soYs+6513XFU1NTb612NTUFFrgCoBIJBK+muREIqE9R2GR7A2akTwgG81no8T/DmAsBto63XX2z76CAYbrNwFMO/u7LwD47dn/fzuA4ReTfzmMZKZhy7isbFNUivW5WHLi8bi4++67fWvo7rvvNvY0Bh0PU45Nyg5LDoutkun0YXurVTlBYYOcYmUFZcmRipJqCEgFSgfF6shkymGfiYwxsViOC0XwimFvSCNZGnLDhw8PLe2W2XKJ0UqK1e2BpQdJx0FQAjn5d2Qe2h5rAAAgAElEQVTJgPyMxWJacph3M0sWM5LMyIIEIBYuXCiEOPdcCxcuNDKSWe22JEI3kgf7Z7CNZBvZKpls0hK2KAa2GV2slgXt7e0+Oe3t7RGzrKVymPU8rJrkaA1dHDamy0rYMD+qYZP/o4MoYn/55QSVxdobUlGuqKjwfV7pjjqZ/pnPJq27NzzPE+Xl5T4Fvry8XJvB17Y9xjRuGTXtAERtba3PcKutrdWWIx0++Rl+usY/M8uLFZVWjUmVAVxXh2FlQcq7Jp8Tw+SdVVZW+hw/lZWV2u9MRWQkX+IkXAhMg5R1+LE8e0JEisrFwOxTyWjpoMKG+RGiONcPsx0Mq9atmNcQSw5jLdrIi8DsLRrUSI4i9p8O5pnIkMWsK3Rd16egmrSSEsIufgUZSVbXokkkWUaPVTkyqqwD2xx1MvU7P3JrEklm1LTLcyvfcDN5X9OmTfPVt06bNs1oPc+bN88nx7SUjjVHLGOS5SApLy8vePeUl5dryfE8T1RUVPiM/4qKikHXgyIj+SJgGqSsw4+VkmFbk3gVNig8rPeVSqUKXjKDzcg32HKKVdG1Md26WNeQbXJsU1BZe4xlJDMZ5G3LhmLIYTrGWO+edZ7J9ZKfnmqSlmwTvwIAUVVV5VvTVVVVRkbXsmXLfONZtmxZaHtMRZD5YUaSC9W0m8xzSUmJb4+Z1hLLyL+cZ2nM6YCpB02dOlUAEA0NDWLbtm2ioaFBABBTp07VkuN5nkilUr4xpVIpo77EjMi267rCcRzfu3ccx+gMKsRsPtgZdZGRfBEw6w2YdOoMAoQoKnBxMFm7GSQKKmyYH9sMCpYc1nMxo5JhsToONTm2nWVsdlGGkVwoQmFyh40YMcKn6I4YMWLQ0+YGWw6TBIrlSFDHpNbcmhAdMSJ4tnF0pNNpkUwmfWs6mUwazQ+jVpa1x6SsoMELVqCIFQWUay5o6yZWujWbe4QVbS9UMmayVxn2j6xJVp/LpCYZgEgmk741lEwmIyP5Yj+XI5LMMEglWOlTjGJ6lhIfGUuXR44KG+anWFNTbaxvDYvVcSjKsSkrhskuyjCSWfX6rEiHChvWD4CCtYAmSpzqSJCyTBwJsq9sfhTHtK9sfk2yiaJbyEEy2IruhcBi7U6n0zmjWP7EYjHtvWFbuQ/LWcNKR2cakoWcIyZRUlYQBOBwj8hotDomGZXWQXNzc8E7w6TdVmlpqW+uS0tLjZ6LwR+gIjKSL3ESLgSWQcock219XG0jmlBhQ+qcbdEplhzbjH/bygeYqZcs40SFDWsoknNx2BZJBiB27drlG8+uXbuM5DAiHSpseF9MJY7FQ8Ay3GWUTV07JqmOAERlZaXvuSorK0N79ywjUJIc5ZMTmZAcMfaYbcY203BjtMgCIFatWuV776tWrdIeD7MUiuU8ZLX/Yq1peU5UVlYK13Vz+13X4QdAlJWV+YztsrKyyEi+2M9gG8kqrb/a2N20fsamSLJtETPbjElWCwUh7CIqYcmx7X0xjXaWkcxaP6y6QhU2rKFIzsVhW00y00hmKKgqbMggYKYDshwJAERbW5sQ4twctbW1acuRRkl+mqtuyxy57tTIrclaFMIusj7P80Q8Hved9/F43MipwdpjDDmsGmlWRgPLSGaVITBJNVkGN+vZHMcRTU1NQohza6ipqcnIuGXcP9L4z7fHBpubJTKSLwJWvYoQ3Jpkm9itbTO2VQR996xWQDYZk0w5NkX+WcoO630xo7+27Q0h7Hr3xSyHyW4dNFWWdR+G1e/yQmA7I1QF3tQAZDkSWNEXZgSPMR7b9A6AQwCWTqcLzo9JjTTDSGYSmKrOFWno6Bo4rDpZVpo9AFFXV+cz/OR3XbC4R5hkfY8//rhPzuOPP250BhVqjxbW3lARGcmXOAkXgnrwyZdrcvAJYR+7tQobFDnb0rZtu2SEiAyTi8G2GnLW+hHCPkeLbeORY4r2RmGwPPky/a66ulq4rptLJdZNv2MZXCpsODtkOmK+kWxyh7HSZaUyKt+V/NRtvyIEJyOKlVJqWwabdD6pcqQzSgfqHlM/dfcYy0nLNLhaW1t9clpbW40MLgbjMisjUxq0+SnJJkEr1jtj1pEzSiOAATZ81bg16ZHN4mlQERnJlzgJF4I8pBg1RiwjkMkMapNiybz0WDU0jEPdtginlGXLe2eNh/XemUoBy0gWwq6Ufdsi2zYa7Sw5zEhyUCOZxUwcVkTgQmASpLFalLDOM1YasIogc+04TsH0XV39xUaneqF04rD2GKvch2W4se5DVpCIpUfLczS/3tZkz7McYyzeIulgy2cA13WwyfnIdySE9e5VDGkjmXXwMVjZhOAplqx6A9sUS2aaK+OgYdWHsLx6tnnOVQR974yaJ6ZSwGjjwmSktu2d2cZsbpvRzpLDeu+y/2b+j27/TVYUB7CLuIuZPbJkyRLfWb9kyRLj52LpMIXO1zDnmhHBY92rKoIGVAplR5jsDQbDMcvJwrrHWMa2yhMk07ZN0qQ9zyuYAmxSQ84gtBOCl27N2mOu64p0Ou17tnQ6bdxdIWgZCrPUVGLIGsm2EZ4wx8Sq57JRsbQpTTqdTucMLvlTUlISmlePZZjY9t5Z65l1CbOcI1u28Ppd2vbObBuPbUY7Sw7LEGC1p2H2zWSQSQlhF6+GVNpVOSZtbtRxBX02x3FEXV2dT2Guq6sLLfOMdR+y5KgIslc9z8ulkMof+TtdOQzjjXV2sFocsZzYrHuV6dRgREmF8Ndtq5+6ugerdS1rPACnbJVl/KsYskYy0zMsU67VGqywLz1GXr5t6Uoqgnp0WeyQhTyWJhvbpkiybQYFgIJGssn7Yr13RquKLVu2iEQi4VOaEolEUbBb2xbZts1oZ8lhec5Ze4zV7YEVSWZFy6SsoHeY6vBT2y2ZZo8wMmzk2dPQ0CC2bduWO8vCmmvmfWhbJJlhLLFSXB3HKWhM6p4dzMxF1vph6vaqfmfyvuTfKSsrE47j5EjoTGwEabDnM7/rMsizUvZjsZhw3fNbSZkw2s+cOdOnU82cOdPo/nEcJ+eM8jzvsnBZFKWRzKwxUg879XsQBDmMWd78Yk3fZUUUWfT3zJpkhtJkm0EBoCCRS5hGMkOBZ7YrsLFPsk2OMdvOIJYcZuSWwS7Kcvwws0dYJQ0SQdehqiRL5dnU4GbdY4xIMstYYjn8mI5DVgZbIpHwzY/cK7pypk+f7ku5nT59urYc13ULsknrzg+r525dXZ2YMWOG77lmzJhh5ORncYaUl5f79pfJmcjMNpXnRVDmd2lA5mdZmMhZuHCh7+xYuHChseMn34Gk6/hRdSo1cBW1gLIkkqx+hmkkszyEzBYKNnl0mR74QikrJpFkmwjJbDMo5L4KSo7HUphZfQ9ZzyWEfcaAjXJsMtpZclhZQ1IpDUooxVqHLGOS5RhTEeR9sdrKCDHwbCw24EIERSZyGCmTLGObuRZZqfaMFlDMzKpCUUkTOax1yIi0szhDmO+LaSQzGNJZkWSWDiON5PwfEwKwxsZG33M1NjYO+nlflEYyuyZZ9ciEbSSzmrILwUv/ZtQ/qLBBYWayTNrmjLDJoGApXywnAtMwWbt2rRDi3PysXbvW6OxgEXqosMEIjORcHCxeBPl3VSPZVGFmGKXMtG2bjGQm+yoro8XzPFFRUeE7zyoqKkJz+rEik0xuFla7HAbJqxoBVj9NIqXJZNL33pPJZGh7nmW0szhDWKzvbCO50N7QlcUsySw0HtOovToe06g9w7GhYsgayUJwW2cEZWXLR1CCCEafQSF4xqRtfZsZcpjEIIz2PWrrDNUIDNMZwZDDruMLup5Z5BDMSDJLMVBhw7uP5FwczBYcNinMrDuDZSipCOrwYzATC8G751lOddZ5xopMslpJsZz80oGZv1eDZH2oji2TeWZEJVkRe5YuzVo/sh91fmRbtx8120guRLBo8s4Y56LjOAXLa0zW9F133eV7Z3fddZexo4UZtBzSRrLOJFwITGZI1phYFzErwhkWLfvlkMMwblnzzHSOSNgwz6z0eNZ4WM4RqZzms2eaGLa29Tq1UY5N2RFCcM4OAKK+vt4np76+3ki5YLQpYfU3BiCWLVvme65ly5YFikhLg8I0vVkiqAObwUwsBK+Paz6ZEHCOZEgHAAqmSV/pjpZ4PC5uuukm31qU33Ug94M6z/K7rhxGSqnc40HZm5mlEQxjkmUks7N0GEaydIpWV1cLx3FyTihdp2g6nc5lMcif0tJSo5IGhrEtx8BI/WesaRWRkXyJk3AhSG9TvndQ19vEHBMrDbhYWSaFsEthZtbHM9uLqOMJiqBy5s2b50slNt1fNkWSm5ubC16cpsZSofTUYnj3DDm21dmzHC0ApxQhvzWN/NE13uR9mM/RobtfWayptt09rMi/ELxnUw13NdVR992zjApWZJIVAZbPkv/OTBT4ZDLpcyCZZmsw7nlJfqkyAQPQdtKy6uzlnNbX14tnn3025+wzeS5WWyKWU4NlJNuWAs7cq1KHUT9N9ioj0q4iMpIvcRIuBpYCzxoTy3BnXTK2RQJtU5iZTOsMD6oKGwwclkHBzIxg1POwlEohBt799OnTfe/ehPFUhQ3vniXHNsZ2Jiu1VJrVz7AUuXg8LiZPnuy7DydPnqz9XKxaN9bZqiJolhejfZwQfF6VoGmuLAeJba2kHMcR119/ve+dXX/99drnvYxq5adJ6zp+mMRmhYx2k97oLBIoxhkkjf/8HxMjmeUckfs+SIs1KasQKa/pmIKmJbsup0c2692zShpUDGkj2aZoIlMWK9LFUuRYzd1VFJPCzBpPsbYBYmZGMPYFk926UB2x6eXJuNBV2GDcsuQwjSUWl0VXV5dvPF1dXcbKTn76XVhGMsBrLTJ79myfsT179mxtOaw9ryKokcwkEmPyquRHFE0cJGqaJDCQPmnCPcJ4LqYTgZHCydpjLH2KxWEC8NjRgeDs1vJ9BWXql3OrOiPCjiRLI1ld06ZG8rBhw3xyTBjSWY6W/PetfteVUyjSPth6UFEaySxvpQpbjGRWnzhWLbFt7Wlsiy4wWzdVVVX5DoiqqqorPmIPcFptMRV4BqssAFFbW+tT4Gtra40O9MHgRrDBuGXJYbZZY6xpZiR55syZvvc+c+bMUI3khoYGIcS55zKJlLLSCgejHCrIOmQ7Mll17dL4Uz9N15BNjjqmE4GxNxjzzNIXmGcQy3ADOAz7y5YtE0Kcey4TPgOW84hl/EtZhUj2TMZ06623+vbGrbfeqi1HrZF2Xde4RlrOR2VlpXBdN7d+TI3/fJLXyEg2MJJZKSsqbDGSWUYps/WBTW04bIskszzDtjl+mOluTU1NvvE0NTUZEdQw5EhDIGjKJFOplJdvPkFRmAqqTXKYbdYYZwezxRHLYSPPHsdxfGUAJnKCGgJyb+WnKIZFuqQi6DpkkBwJwSMlYxqBVVVVvuj/5Wi/cjEwjeSg6bKsvcE6g5g124y2RMx1OHLkSN9zjRw5MtTxMI1kRs0tk2md1bqJsTfkHabq0ibRfxVD1khmKRdC8NO2heC1zAnCOMeMBNpkJNtWk2ybU0NFkOdiXsKsCHB5ebnvADU50FntluQY1H1qeqAz65slbFBQbRsPKwuF5RhjOXtZCmG+kqN+6o7nuuuu8xlc1113ndGeZ2ShCMFZPyzniBA8wi35nmX7H/lpqujKljBqaxhT2JChBUBMmTLF52iZMmWK8fzkR9105bDOIGYQhOE0ZmWPsEgI2UZyUDlC8IxbFmkoALF48WLfGlq8eHHoDomgZ5mKIW0kt7W1+Sahra1NezLZBhfjInYcp6ACZpJ6yUjnYvaqZCneNinwLCcCyyhVEeS5WOlcrLpCqbDnkxyZEKewWkOwor+sXqcqiskRxZLDiuIw078ZxjZLSZHrN99INiFyYTD4Oo4j5s6d6zvr586da0Q+yUqzZ/ArCMGPmDHSXFnGgIQNzmfpXGVEyxhOUZZxyyrPYpUQsO4wSdylPhdgTtwVdD07jpNbL/KnvLzcSC9jrUUheKUarPpv1lyn02mfc1V+N8WQNpIZlzAzdde2frms8TQ3NxckvgiLnViFDYo3ALFq1Srfpbdq1SrttcgySlUEjSQzatpZ79113YLsoiYKPMO4ZaaCAuHU4lwItpU0sOQw1yIrIs3oHMD25DPS5ph1jvmMy2EZJgCH5EjKKsRDYDJHpaWlPqNC9lDVlSMVU/UzrDOI6XyWa0eNAJu2kgq6x1jdHlitm5hEYoWczybzrNa0qt915ZSWlvr2apB9EbS1lZS1cOFC355fuHBhaHuM2bqJcXYAnKxDFUPWSGalqTFJoJj9chmp5CzFgBVJLlbFm+VBZbFVqrChJlkIXm2ZvFzkjwnzIYski6XsCDHwbEuWLPHN0ZIlS0K7PG1jk1ZhQ9q2bRFpppE8fvx4394wSW92HKfgmai7x1gpnMzSEYbxL2UB9tTKstaQELzznmEks1oKqYq/+qO7hlj3KiurgeWok8ET9T40aZEl55WVGcHYF7JFpHzfpo6xfAZo+RNmSzubmN+jSDLRSLatF58Q9vXLZSoGjMvKNlZqlhxpJOcfNLqXsG1kdLZF/oGBOjl1z8u6OV05MrKgfppceoyUJzkmBnmKChsiybatIZYc2yLSTCNZGoJBWEpZJRZSWQ6aMcZkAma3fQv6zqZOnVpQxtSpU43GE9RoZ+0NVhowe28Erdlm7vlCxq3JXmVlWbDS2j3P8713Uw4T1ntn7XlWvbWKoDoVizuCuceimmSCkSwER0FlpawIwe2Xy4jcMhUDhpFsGzEVSw4wwHCqRjskA6oObOyTzDICGeNRva7qp8lBzCLcYs0PK2KmwgYj0LZsBBW2RKRZxiRLSWH0u2SSRrIcxozSEQBi+vTpPqVy+vTpgYzkoCmK+dk18sfknmesIWbNLasUgXHeSznqvJjWJLOyRxhZDY7j+Ax+6QAw2RuJRMJ3hwVxYrOI6BhnIiP9mzkmIbjt44J26GDOdX7GhklkW8WQNZKZ3kpW9I5ZA8xoDWFbn2RmeqqELUYyg7bedV3R1NTkO/iamppC7f/MigLa2O8yqBzWPpVjKsSaO9iXw8XAIiFkZLPYthZVBJlnVh9gpgOJIUcIzjwzOwcwnBEyayifF8GEYE/Or3pvhN16hyGHpXcIwbs3mCmlQbMsmA4k+Tzqp8n7KrTnTetSGenNDEMJ4JSOyDHU1dWJrVu35ngDTI3kiooK37uXTgAdsHRplu7KPoOqq6uF4ziBsvwkhqyRzPTGMTzVEqzoAsMTy1IMmKntjPGosMVIZnjj0um0SCaTvgMrmUyGFkm2LeWWfRAHNQQ8zxPV1dW+56qurjaK/jJZcyVsMJKZDOk2rUUVQeaZRf7GVFAZcoTgrB/W3cNSKlUjWf00NZIZ94b8O6zIGyOyzSKgZEbLWDWuDAV+3rx5vnnWdYqp45EpvGoqr4kc1joMun6YPYArKip8ATATgzR/T6nfdSH1uqBZDSx9Qeo/QUlM5XOpcxQkW0N9Z1GfZEMjmVnXUSi1OchLUcdkAtazMXs62hRVUmGDIZCvTKrfdSDrd/JrZcvLy7XHJGHDOmSTE9mUhrV9+3YhxLnn2r59u9HZwYy+SNiQRaCS0akpk7rPxVyLNpV8AJy6QpaCyjKSmc4IhkHBTGtn9JSVssaNG+eTNW7cOON3ZksLKNY9z9JfWMYta48xo4BlZWW+s8OkzAvg9ZH2PM/n5DetJWaUrzHveRZfCFOHYZGY5hPbSUeg7nhYc82Qo2LIGsksZcd13YIbIEiKqxB2RPDU2ma1rUxY/Y1ta3HEjnDmt5gwOSAYrTyEsIvB13VdsXnzZt94Nm/ebOTQ8jzPt57DJvRgMVLbZrzZxq/Amh/JTJrfwicsZwTAqysstJ7DUnZY64dlUDBrkhmdJ6QsqYCrn2GeZ4zxsPYqi6eBOT9VVVU+I7mqqkpbDpMrhpVGXoiVOiz9BeA4ouT6ze+3bKJ3TJs2zbeep02bZrTn84Mp8seUATwo+aj8O0HbW8m/EzQlPTKSiUYy0xvH7k8qRHDjjUVYwSDcYqW82RYtY0Y4Y7GY7zA2iSTLwy4/fdfkfTGMf1tZSlnpZUEPYhn5z08LM4n825YGzIrc2sZnwOpBr4JRqqESR5qsxebm5oLr2TTqFrTukuUYY6Wjs9ITmQR78vzI/9E9P9hGclA5TOczg1VYysk3SkznhxEF3LRpk28tbtq0yUiO7PYg9cSg3R4YkfagThZWtxB5Xqjv3STayjJIheD2ki6ke5g8G6sntU1nkIohayQzaetZ6VMqWEZyEKOUZSQzyVNmzJjh88TOmDEjtGiZje1XGC2OWMa/EJyaMJUcTz6XCTke+yAO6vVMp9MFLzzTGnKbCKVsyyJgnvesSKCEDcz4QnDrN4PuMdadAaCgc0R3PFLpzje4TJVTRl2qjZFSloLKKmNiRPDkMwRNk2b1W/Y8L9cqSd6H5eXlRu+dEQFmZ6EENSbZziMGV0whIjGTez6VShWsATZxAEycONG3pidOnGi8N1gRaVuyYlQMWSOZZeDIRZufbm1CxCEER1FhpjqyFBWGsS2ZXPM3kkmNmYQNhoDcxCzSnKAHDWtvMOtSKysrfcpgZWWl9iUs91W+J98kTS2ZTPoumGQyaaRcMFN3bTKSmS2gbDK2AYhVq1b55KxatSo0I3kwItvjvvuPxn+XaSSzskcaGhqEEOfm2cSJzYpIO44j6urqfHLq6uqM9jyAgq13wlIsbTSSGUaOvHOCMviyiDVZGUgAcmzN8seEvZkVvJDrl9UCirGe5b2sfpoa7fmOMZOMMaaDBIDPbjGdI1nCJscTpISNUXLIYPxXMWSNZFZkIZ1O5+om5E9paamRl4iVEsg0cmyKSEvPfX77DN16DBU2GALyYgnq0WXVq7AME5Ycz/MKskyaXAzM1KCgyhezxn7Lli0FHQlhpVvLMTHYiW1K2betF7lKbKae0UFKUBhGctCom+ty2tnJ84+RcsuISMu5CFryIWUVYsq+0o1kZrmY6ihWv+vKYRhvzFRZhnHLIvpktTIEIK677jrf2XHddddd8etZzmm+YWu65wvd8yZrsdC7DzNtm/nOgtZIqxiyRjKzJplBfiAEt90Ji8SH1auyUEqgSVRg7dq1Qohz87N27VqjuWZF3ZhpYerlYJoWxlCaWIYJMx2dwQ6ZryiFndLDrLFPpVIFjQGTjBabItJC8FP2peJtkrLPUuCF4GUNsUtQbIkkMwjbmDXJrFZbhRy9pgqzbcYA690zOShYqaBBHRvsfsJBeQjkv5+fwWbCG8Haq4Xmx7SdHYupn7EvWHorwOmT7DhOwSwUk7WosuGr33Xl2HQGqRiyRjKzRo3BLipltbe3+8bU3t6uLYvl2ROCozDLNOn8y0o3TZp12DBJjhjzE4vFChqBJoyF9fX1PkVOetJ0YVO/bgCisbHRJ6exsTE0I/naa68teAlfe+21WnLq6nh9v1lzZNveGIxWUkEjroznkme0quianNHq2aqmqQUpQbHBSGY5fZhtgJiRZIYSxzrP2Aoqg5iKkXnG7iHOmh9GSimLTZrVKonxvthOBJvWM4NQVR1T0NI8lu7BykaIjGQLjWRmlGvUqFG+DWDiSRGCV1/G8uyxFFTWZeW6nHZbrDRg1vxINsb8CLAJGQMj4qoiSBSQma3BIEtiKSme5xVM49Pdp6z5EYJ3DjH3BqNUgzUeFjuxChtqiVmlCCoYRrKMUqjRCl05ra2tvvfV2tpq5PQpxExscocx1g/bSGbUTLIUb6aiy3j3rH7L8hkYkUlGbXP+O1K/68phRCUBDk8DAPGFL3zBpyd+4QtfCHUdMuRI/U51iJrod8wxsXQPFhkd67lYJHIqhqyRzIxyzZw507exZ86caXTpsbznrEOLOUfjxo3zHcbjxo0z2tiFUtvDqtlmkgrNnTvXdwnPnTtXezwsUgcVQYnNWHX/DMITADnCLznPpjXJI0eO9K3nkSNHhra/5JgYGS2svcFKb2aNh8VOrCIoK/X27dt9crZv3260FhlyVDCMZEZ0kxGdYpEcqSR7cj2bkOzJuQiaKqvKYhkDrF6nthgVTP2FQdQo50J1hoftjGCsRZVxWc3WMNFbhw0b5rvDTNqp2mYkb9myhSJHHVPQGuC6ujoxYcIE31gmTJhQFGRrrLmWGLJGMsuTwko3EIJLVsKIvLFqJpmMnqw6PsblyTQoCvXa1jUoWCzQKoK2yGIwCrNSU5nK4OzZs33PNXv2bCODlDE/ckyF2kyYXJ4sxnbGGcSMJDOyWVQENZLb2tp8ctra2ozWIkOOChvSrZl1qYXuHpPxMLKz5FwEdSKosmxRLFlRHFafWyYBGDAQdXUcJ1DaLfN91dUFa0Eo301QPh1mJhwrjVy9/8KuSRbiXIkOnGA8H1KvY2QjSHslSCs6KSNoKjl7bwTNilExZI1klqHESjeQY2KxATMiiiwiMdYlIwSvHpDhIGG9L1YGAUuRUxHEEGApusyIAPMgZvRPZDEls84hJmM7w3hjjodRU6oiyN5gtQ5UFVQAxgqqChuMZKaBw1C8WZkRTMXbNiOZKYeRTsxi/Gcp3sz5YThEmX22GxoafI4okzZr8jmCGu3s9RzU2FYR5GyVYyotLfW9M9ldR1dOSUmJT1c0NbalrSHPRRPmbvY7U+/DoO9syBrJrCgOgIJRQFMDkKUQMhacNGjVDSkNXd3x2HTpsYwu5vuaPn267zCePn26kSLH6GutIqiRzBgPkz+AsS88z/MxnALI/U4HLMVbCHGeAqd+6oLF2M7iamCMx7aa5C1btoiqqirfWVZVVaX9bKwSFBU2GMlCDJCSqWeiCRmZnBN1j5ncPawsHfW8UD9N5sdG4xYInr7LGg+bJduWyKRcN+paNHH4yefIX4umDMcMPgxWv2WAU/IhDUh5djhc11gAACAASURBVATleGEYyQCn5RKzY4hNDiTGu1cxZI1k5gHKTHdjKAYshZmZRsPoVcmKuLKMLiF4BgVjfpjpuxI2pFszU4AZB7HjOAVr5kzKEGSdo7yMTeocheBdViqCOkhYDgDGeJjttmxqH8dSLFXYYCQzWakZBg6LaI3pRJDPw0pPZSio8Xjcd57J6KLJeBoaGsS2bdtyUUkTOYy69vx1o37XlcMy3hjvi+XsZUWkWWVV+c8U1OBi7FUJlpEc1MkGDLQdVe8fk7aj0imbrwuZdGaJjGQLjWRW+hSDRl8Ifu1l0JQDpmLAqOFkOSSYhEkSQesTGaRLLGNSCJ4CbxOLuNwDQftmMnuvsqKb8uwJmj6lImiklMFuLWUx1iKj5QXzuSSCnh3sNHIbjGRWyRBT+WJEy1hnkCrLtigOQ47ruj6dyjTKxSAwdV23YElDWJlMbDmMqCTDMGERdKp6NJzgerRtRvL48eN9Y5HfdeXI8ydoTXKhdxb2mma+syFrJLPSp2T+ff4BYULcxTRKWXULmzZt8l0ymzZtMpLD8ngzmFyZrXdYkeRCEUXd52Ip8CyjlNlzl0HYJtehenCarkMZ5ZJKk6kS5ziOzytsMh4pi6GoqAhivAlhV59k1p63raTBcRwxZ84c3zzPmTMnEFkfw0hmkOMxjVJGVJJVd8lS4uTfY0SVAB4xFWs8DNZlVrcQmxR4qdOpf9+0npQVvGC1pGIGnILqC7IHff5PWD3oheARBTNbN7HWok17TMWQNZJZBqlURvO9uaYMtay2IIXGpCuHRdyVTqdzRrr8KS0t1VYsPc8ryKSn+86YNckMo5QVUWSR3dgWkWZHkhmpl4z0MtWQVX9Mz44wLofBlsNai6xIMsBJ4RSC52Bj1JapsCGSzFTga2pqfHu+pqYmdINLPTtM96m81/MzxsJOdWTJYUQmGUSWrLRk9vwEzUbI1w3V7ybjYdUA23KWCcEpf2SOR93zanZDWKWUcm7ysxFMuRqC7o389ayua1MMWSMZgKiqqvIdoFVVVUYbm+FJkbJYbUEYxgAr+sKqL7OtTzIrZZ81P6z6RGbNNqtll001yXJu8+twTPdpZWWlcF03l2JvenYwFBUheDW3jHfPWotM4qXW1lbf/LS2tmrPM8vxw2yvJ2GLkcwyBFTl39RhnE6nC0a5wmS3ZpOJsd6ZLXJcl9dSk2UE2jQ/NsphGO0qghqltskBIFpaWnz3T0tLi9FcszJjCjmQwl6LjHIWiSFtJDPTBBiU4zIFIj9dKaz0ICE4njRm5JbBCGtbL1h2qwpGo3nG/LCcLEwmetZBXCiSbKoUqHJMlYJ8pcLUGGBlR9jWZs113YJRCt01xGrdxHb8BK0tU2GDkcyKCLDGo5LsSYeoCcme/LcZzixmdgRTQQ36bKwMGzWSrHYeCcuxUexyZJp+0HR9m1ou2SYHQC4FXf6YpKQDnK48LL2DuRYLlR8FWUND1ki2LU1AiHM1EPmXjK5hOhgKc5D0XZZH18bWTY2Njb7xNDY2as8zU9lpaGgQQpzb2CbeQdb8MNP1GXWgtioXDEZqYMDIVg1uE6cfa66ZJQSsvVqoVMNkfhjZI6wIOSsVVAXDSLYt6hZUgWedZXKfMxxjbKJPBokP650x0m5lSml+5plp0MG2NV2scvJTiYMYOLYYtyw5rLlmOY3VO0f9DHMNsVpPSgxZIxngNsFmeL9YiiVL+Wa1yWLVc9nWxkW+7/y6DlOlgEEENW7cON/8jBs3zmgtsuanq6tLCHHuoOnq6jJah4zaMrkHgtYDspUCxtnBVHRZbVNsW4vy35c/JuNhOvxYkWSb6vhsVLwZNcmsu0c+AyOSzOL6sPGdLV682LfnFy9ebCSHWRZj0/wAHFZqx3F896ENra2YbQxtMW5ZcphriEGSJv9tVhZB0OdidUVQMaSNZFZuP+PlSlkMo0JVmF3XDV1hZhFuMVvmsOolC713E29cIpHwbexEImGkyLHrE4OQLrGiL+xUR9uUHcbZoTJjyx/JnK07Jsaet20tqpd5EAZfluOQGSGfOXOmb55nzpwZmmJp296Q53FQJwIri4mtL7CctFJRVj/DfGeMrBgAYtmyZUKIc2fHsmXLrvjzXr73/LPedDx1dXVi69atoq6uLvTnytepwibusk0Oa44AXrq1vHvkT5De6EHXUHNzc0EZJvq9xJA1klWPgxpJNmUsDOpJEYKf0qUuElPWQlZUST2A1e86kKlT+RFpXcWbRZQln4XhjFDfkakHderUqQI4v93J1KlTteSoCGKYsOpS2RkWNik7TIVZvTCDMMIyjED5bwdtvaOCYSQHJfRgtoBiRcgLnYlhKZbsvcFqS8QoPWIy7DMiyVIhVXUYEwU1P11f/oTF3iyfIV+nMjnvC2UgXennfbHLYd4Zthi3LDms84PVoUP+20Gz4VhraDDadg1ZI1lOZn56omn9L0PRZRkVcrGq6bsmnkaWQij/7fyNrWvcsowlZj9qVpsSxhpisVsLwWM4ZhC/yTWT79QI+zJnXAxM4i6Gh5nFQ8CMJLOMyQULFvjGs2DBAu35YZHICcF5LpazVwXDSGaxUgetT2Tez6x1yBoPa47yo5Lq+WYynqDP5nleQVLVsNpzsu+NoHJse19MOYwIuQpbjFuWHDkvMjgUlCjLJh4CppzL7ZxHMRrJtjFDSjDSgFl5+SymW9bCdRyn4HhMLgdWP2oGSYCci6BRExYZECtqwlo/7KwP2w50xtmhXnrqp4ksZg1w0JpkFqM9wHFosWqJmc4IWYog95hJKYKKoEayauRI48Z0bwSNAOc7stRPXTDuZvkMQYluVFm2OBKYcgqtaV05kmMm3zlfXl6uPR7b5oexN+TfYUUBbYkmqrDFuGXJYc0Ry4mt6q7qZ5h7Q+57+WPCNaViyBrJLIOCvbEZCipTcWIpzBMnTvQdohMnTtSeIxazLMDpR81yRrDWEEuBZ8lhslIznRG2KTuMsyNfOVG/myJoPToj64PVckkqA/mOurDYtllp7SxnrwpGJJlluDEMgWQy6ZvnZDKpLYddosNKt2aeQ7YYOY7jiLlz5/rOjrlz5xop8MzaXVvOe7nPGS0IAfiIzcLeq0xdWgh7jFuWnPwzQ/2uK4eRbQpAVFVV+c6Oqqqq0PcY43yVGLJGso19KlkKGDPtViJoPSAjusBk2y5EeKKreKuKkzxogihOtvS4ZTH4AhCtra0+Zae1tdXo4GM1vmccoOqeZ9SiM5QClqIrBMcxxiwdYTi0WEzAQvAchwy+B9Y8qwiiyOV78eWPbvSOVVsGQFx77bU+GfK7DpglOiwlzkbjzSZF17Zzmi2HYdwySlBY+gvzPpSwxbhlyZHzweBqYJDF2ro3mGtoyBrJzDQ++ffVT5OXwmLQlApGfouAwS5evxDkfARV4F3XzXmUpZy5c+dqG2/Nzc0F+yeaKJasmluGUsBa06lUquClZ9JfspBTQ/e52P0ubVPiGAc6cw0xHC1C8NJTGaURLMePEHYZyaw7Q0UQRW7Lli05ZUv+JBIJ4zMo/yfMHresEh2GQaHKYp1DZWVlwnGcXCuYsM6zfNJRdc5MxsOKlNqiwDPlVFZW+u7nysrKK/65VNhi3LLkMPdGIZ3qSn/3g7GGhqyRLKOA6gEaJArIeCkyhVg9tGRqsQ7i8bi46aabfAqh/G4KhpEcdI6ksZTf91BXcWIpllu2bBGVlZU+o7SystLY0RJ0fliRdnlY5te36q5DVjq6jE7lZ2uEWVtWiFgmzANd/r2gaa5qSYN8ZyYlDSqCnB2sCB4rksxyIqTTaZFMJn1nRzKZ1B4Pq2xIRVBFTjoR4ARzIpSUlPjee5h7DICor6/33an19fVW7HlbFEv5d2xxHqoGhPoZ9nhskcPM1mA+l3Syqc42U9hi3LLk2LaGilWOiiFrJDPbLbFeSjwe93k7gQEvqMmYCvWVNRkTk9Ez6GXlum7B+kRdhZClWKZSqYLtV8KMcLLSkll9Kgulo5vIsUlBZRmSzLODuYYK1f2HdXawnJmstjKsOnuWgsoqG1Jhg0IIDLSuU7N0ZIs7XTmMfSHXT342lKm+wIwk26JYsuVExu3F5QSdH1ZPWdvmR4UNZxlTDnuuGQ4tVrtZ5nMxWvJKDFkjGYDo6uryTUJXV1eoG1v+vaCeNICTRsOMlHqe5zMqTBlPp02b5lNUpk2bpi2HWY/OqJdkHliFnAgmcsrLy33rx4QhkNnf2CbiLnYGAbM+MShrLjAQsVfnWkbudcBibxaCl7Yta7DkeExrsBhp0qz2NMz0eAkbFEKm0uR5nm89m9w9zLY7hfgwgux5W4yTSM6VJUeeOaoTW55FYYyHJUeFDWcZUw57rlktoIrNoaViMI1kDxYjHo9j2bJlePXVV/HGG29gypQpuPHGGxGPx43kVVdX48SJE7lPUziOg+7ubgBAd3c3HMcZ8Dho4vTp07jtttuQyWQQi8WQyWS0ZTQ3N+PMmTNoa2tDbW0t9u/fj5aWFjQ3N6OxsVFLVn9/P06dOoVsNotTp06hv79fezwA8Oqrr+IHP/hBbjwrVqzQlrF69WosXrwY5eXleOeddzB27Fh0dXXhRz/6kbasjz76CNdff31uDS1YsEBbhkQ2m/V9msBxHNx3332577FYzEjOmTNn8Morr6C2thavvfYazpw5oy2jt7cXL730Etrb23PrcOnSpejt7dWWdfz4cdx+++3o6+tDSUmJ9t+3GSNHjsSHH36IkSNH4v333w8kS+4r0/0F4LzzxuT8aWlpQWdnJ06ePAkhBA4fPgzP89DS0qJ9dtTX1+OFF17AG2+8gUmTJqG+vl57PADwwAMPYPXq1XjxxRdx6623Ys2aNXjggQeMZAVFNptFdXU1fvGLX+T2xle/+lWju+Po0aP46KOPAAAHDhyA4zjs4YaG6upqtLW1oaWlxfhe7e/vx7PPPosFCxZg+/btRntDCAHXdX1nc/53HVkffPABAOQ+I0S43MhkMvA8D8ePHwcwcMd6nhfo7ohw5eCGG25AJpPBqVOnMGbMGFx77bV47bXXjGRJ+8LEzhgMSLvJ1H66bDCxrNk/F4oky3S3fE+KST3GVVdd5YuWXXXVVYE8w/mEW7qyAF5RPjNSWujHRE7QuktWlEvOa36NdNieWFtqwlgs6/LftqUXX7GnW1dVVfn2RpCWDgzGdgbjP2AXwz4Aceutt/rujVtvvVV7PPIZ6uvrxbPPPpsrQ9Ct2VZhQ9SEfSbacveo62fsil8arx91TLbNUSTnypLDIjaz5X5WYcNZxpRj6xqySQ4j/VvFYEaSXViM/fv3I5lMorOzE0IIdHZ2IplMYv/+/dqyjh07hmHDhuFnP/sZhg0bhmPHjhmPa8yYMfjNb36DL33pS/jNb36DMWPGGMnxPA+uO/AKXNeF55kF9q+//vqLfr/ccBwHR48ehRACR48eNYqarFmzBj/72c/w9ttvY+/evXj77bfxs5/9DGvWrNGSk0gkIIRAT08Pstksenp6IIRAIpHQHhMAVFRU+D5NETQinUqlACC3ZuSn/P2loqamBr/97W9x77334vnnn8e9996L3/72t6ipqdGS4zgO6urq0NfXBwDo6+tDXV1daBGzQ4cO4cyZMzhw4ACy2SwOHDiAM2fO4NChQ6GMR0V1dTVc10V1dbXR30+n0+jv78fhw4dzEeD+/n6k02ltWY7jYMSIEQCAESNGGO/VJUuWYPny5bj99tuxfPlyLFmyRHuvygiJzKyIxWLo7+/XPhfb2tqQyWSwdOlSzJs3D0uXLkUmk0FbW5uWHAB48cUXcfPNN+O5557DzTffjBdffFFbRn9/P0aNGoXf/e53uPPOO/G73/0Oo0aNKopoUDwex/jx4+G6LsaPH2+U5VVeXq71+0/DV77yFXR0dOArX/mK0d9X1887P/hyoPXDhtyfxZSJAMCnB0U4H1/+8pfx3HPP4ctf/nIgOZ2dnb7PCEMD+edF2OdHvu5jqgtdFphY1uyfi9UkM2rLWJTsckzAAPnStm3bcqRLumMqNB4TOZ7nFaxP1I1SeJ4n4vG4L4oTj8e15TiOI+rq6nz1iXV1ddp1YSziLgBi+vTpvkjp9OnTQ/fGBfXosiKlzJrkQqzvYc+zLRF7VVZdXZ3YunXrALuwgSy197eMmAVh/Vfr403Gw2L89zzPV6cNIPc7XTAIyVg1yfLcUefZtMZVwoaoiXxHQbOq2K2kGIRbDPZvdUys8yxoi0bb9BfWfcgeDytym19LHPZz2SJHhQ1nGVOObXNtqxwmQ/qQJu5iMAFfiCHQ5KV4nnceQYjjONqKHOtCZ7IfDhs2zGd0DRs2zHgDBFWcmMRd8rmkMh/kuWw5aFzXFZs3b/YZAps3bzZS4Nvb231y2tvbtcfDNLZtmmdgwChSnUcmRGtSltrfVP2ug7q6OnHHHXf4zsU77rjDaG/E43HfnpcydcDsQrBs2TLfcy1btmzQL88LwXGcguRvpkRQqpxiMpIZe4xBlCX3qjoO070qwVKYWcatTeeijc/FMv5ZJEe2zQ9LDoPIUsKGs4wpp1jfmW3jUTFkjWTJ1ptvcOn2XhWCw74qxLk66fwXbNq3LihzHbOPXqEoju54WC2yWHWOsiY5P4pjWpMsFVy1B6+JnKDRRJYTgdUnubm5uWCN/ZXeqgKAmD9/vhDi3DzPnz/f6ECX/37QmknHcQq2jzMx3uR41E+T8ajeYGDAO2wSSWZkxagIYiSzerWz1qIKGxTCdDpdsLbMpPZ79uzZvnmePXu29vxIfSH/bjbRFySKVWGO5FwZcpiM7TY9lwobzjKmHPZcF6Oj5UqqSQ7dQBYXMZJZKcAqgm6AdDotSktLfS+4tLTUSDFg9S6TbVOkkWPSNkVuwPy0J9PDmOElmjdvnu+A0DX85XiKMZLMIjZjOaKKtZ8jcz2z9hjLmGSluco1JB198lN3DaVSqYIke7rjEYLjFGUSkhWjYinfV34E2DRNOqjziLWeVdimMBebHJYRmO/glz9hnYm2zbNtclTYcJYx5dg218UqR8WQJe7q7+9HZWUlampq4LouampqUFlZGSrhyaFDh1BWVuYjKykrKzMiBMpkMmhqasLzzz+PpqYmY2r2qqoqtLe3Y+fOnWhvb0dVVZW2jIE1BHzyySe+T/l7XQQlGFm+fDn27t2LH/zgB9ixYwd+8IMfYO/evVi+fLm2rIkTJ+LgwYMQQuDgwYOYOHGi0ZiYYBKVBCFh6Orqwvjx47Fx40YsWrQIGzduxPjx49HV1aUl59FHH0UqlcLevXuxe/du7N27F6lUCo8++qjx2GyAJI3KJ1ozIdkTYqDdgUqeYtL+oL+//zyCpHg8rn0uLlmyBI7j+IiyHMfBkiVLtOR0dXWhoqICv/jFL7B792784he/QEVFhfYaOnHiBBKJBN5//31ks1m8//77SCQS2m2Fli9fjkceecRHkPbII49onx2NjY1Ys2aNj5BszZo12u2xJNSzvhhw/PhxJBIJHD9+HEII33cTfPDBBxBCGLdckv9u/tlqOp4In47q6mo4jmNMvCPPPvUMUn9/qdi8efN5rRRjsRg2b96sJefYsWPnkV+mUqlARK8MsPSFuro6bN26FXV1dYxhRYhgjPw9by1MLGv2z4UiyY7jiKamJp+noKmpSdvLqILhJUqlUr7ogvQ+6sq50I+unGnTpvlS1aZNm2Ykp6SkxBe1l/+tK8d1XV96s0ldGKvGlRUple+GlfoStOaJmQrKqgdcuXKlbzwrV640np/8djlh7S9WhEIdE6M2iMHVwFxDjz/+uE/O448/bjTXLBLCQme0yTtjRKQBiHQ67Ts70un0FR99Yd+FDPKmRCLhG49JVpWKKKo0+HIWL17sOzsWL15s9M5YZGsSttTrM/QF2967ChvOMqYc2+a6WOWoCD3dGsCDAN4C8L8AjM/7s28B+A8A+wB8Tvn9fwHwCoDfAxhxMfkXI+4qxOIa9qWXTCZ9aa7JZDL0Bccw3hgMrABEbW2tT7Gsra01kjNu3DifwjNu3DhtOayUfdsOCMdxcunWMs3+6quvNk6PZ7B5FppnEzkMoizb3peUxdhjqVRKxGIxn5xYLKadEui6rmhqavLt1aamJm3yN5YzU67D/P7GJu+M4bBpbm4Wnuf55tnzPOMSgqBkhipsUAgBDo8FAB8nh/pdV46txF22keYw5MRiMd85bVouJvUpeY+Z6FMqbNkb6jo25Zyx8b2z7kMJG94XU45tc12sclSEaiQDGAfg3wDEACwC8DPlz8owYCBXAJgK4F/O/n4egD0AkpcyiAsZyel0WiSTSd9BnEwmtet/VbA2QND6KZYcW4kdgioFTMW7UO3ulX5AsI1/lqeaxS7KasFhy/uSssrKynzvzITdmnUusurvJHlgvhFoQh7IiJADKBiR1pXDymbxPK+g8RYmtwZDjnrXqJ+me6y6ulq4rhu6QaEiUpgvLido9F9meuX/hEm2xpAjn0M6jVRnkokc2967TXvMNjm2zXWxrkUVg2kkX0ph3SwAO4QQGcdxdgD4b8qffR7A/xRCdAL4veM4IxzHSQL4SwBrhRBnLkH+RTHwbBf+frnheR7i8TjKysoAAGVlZSgvL0dPT4+2rNLS0lz91QcffIDS0lL09vZqyRBCoLy8HFdffTUOHjyIcePG4aOPPtKuB2RDvifT9yWEwKOPPorHH38cmUwGsVgM2WxWW57jOPjTP/1TvPfee3AcB+Xl5Zg0aRL27NljNC4GXNdFLBZDX18fSkpKkMlkcrWul4r+/n709/ejqakJCxYswPbt27Fx40aj8XieB8dxkMlk4LouHMcxqvsvLS3Fjh070NHRgZKSEqP1LPH+++/7PsOGrB02qSFW0dvbm+Me6Ovr037vAHD48GGMGDEC5eXlOHjwIGpqatDV1YXDhw9ryZG1mg0NDfjmN7+JTZs2oaOjQ7uGc+fOnbjhhhuwcePG3BqcOnUqdu7cqSUnlUrhV7/6Fdra2lBbW4v9+/ejpaXlvBrBT0MsFsOpU6fwyiuvoLa2Fq+99hpOnTqlXfvU09ODl156Ce3t7bkzaOnSpdpnfaG9lM1mjd69jXBdN3d2mPJqAMjVnuvWoOeDtVcjXBjxeBw9PT0+fgX5+wjnkEgk0NnZmfuMECEsyHsoTE6nKxGXYiSPBHAUAIQQ/Y7jxBzHiQkhMuqfncVHAEYBuB7AzY7jrAfwJoD/QwjxsSrUcZxlAJYBwKhRo/Diiy+e9w9LMixJVpDJZNDX14dDhw4V/P8vFUH+biaTgRAC7777bu4zHo8jk8loy+3t7YXrushms3BdN2dQ6MpZtGgR/uVf/iVH4LRo0SI888wz2nLylQr5XVdOLBbLKUtCiNx3HTmVlZU4ffp0To78rKys1JIjhMCvf/1rNDQ04IEHHsDWrVvR0dEBINg6UKErR1WQ+/r6jOWMHz8eP/7xj7Fx40aUlJRg/PjxOHDggLac/v5+VFRUoK+vD/F4PHeZ68oZO3Ys3nrrLQADzzVp0iS89dZbWnJmzJiB3/72twV/H9b7Ago7fUzk5BsR8ruOLM/z8LWvfQ1f//rX0dnZiYqKCvz85z/Hj3/8Y+0x3XjjjXjttdfw1a9+FWPHjsWNN96IV199VUvOnj178O6772LUqFH48MMPMXLkSLz77rt48MEHMWfOnEuWE4vFkEgksG7dupycRCKBWCymNR55nt53330+2dlsVnt+brjhBjiOg+7ublRUVOCGG24w2mNAYeMtrHuMKSf/jDaVyZof1l5l/N3LIddEjqp3yLtIR86FHEU9PT1acrq6ugrqHV1dXVa8s6By8p0IDJmmctR3rX63Ya5sGANbTnV1NU6ePInhw4fnHH82ja+Y5HR2dg7aOX0p6dYrAfyN8v0IgNjZ/74TwI+UP/tnAJ8B8EcAS8/+7v8CsPpi/8bFapIrKip8aXMyrccUjBZQw4cP96XvDh8+3KgF1IV+dMAiFmKNB+CklMZisYIEYLr9jePxuLjpppt8KZzyuw6Y8wME748NoGC7HNPxBH0u+W/n12CZkOyxWn8x31dQOUxZ8txRz0V5HumO58477/SlE995553a40mn07k2a7KucNiwYdpnouu6YvPmzb7xbN68WbtGWrYmyu/ZrZtG7jhOQVI701KWoCUNKmxILbRtj8m/E7RUQ0Wxpl7aJidoqr2KaG8MvpygJRYqbHhfTDlyPmwhHy1WOSrCbgH1HoARAOA4jnf2QTL5f3YWV2MgmnwSwPNnf/cbAJMv4d8piIqKiot+DwOJRALt7e3YtWsX2tvbkUgkQhvLhdKbTNOeRo0a5fs0QXd3dy5FMpVKobu7W1tGJpPBihUr0N7ejj/7sz9De3s7VqxYoZ3O19vbizfffBOjR4+G67oYPXo03nzzTeM0YBbuuusudHR04K677jKWIYTARx99hGw2i48++ihQaqFs4WHaykOCkTK5c+dOZLNZjPvuPyKbzWqn7dqMKVOm5PZmPB7HlClTtGXU1tbi7rvv9rUmuvvuu1FbW6st69lnn8WRI0cAAEeOHMGzzz6rLeNC7e902+JNmTIF6XQa+/btw549e7Bv3z6k02ntOTp16hQAoK2tDTt27EBbW5vv95eKmpqagi2OampqtORIFIq4FgNYbWWCtg2U6OnpgRDCqAQqgh5YrYlKS0uRzWZRWlrKGFaEQUYikYDjOKHqvrbj5Zdfxp133omXX345kBzWuRjBDJeSbv1rAH/jOM73ACwA8D8cx1kHYDeAFwE87jhOBYCJAD4SQpx2HOdXAL4GYCOALwDYbzrAz3zmM5g/fz56enoQj8fxuc99LtQ6xSNHjuDb3/62b0xLly7FY489Fsp4LlR7bFKT7DgOWlpacvWAK1asMDK8pPEGIJDx9u677170+6WgpqYGx44dw6lTp5DNZnH4We17tQAAIABJREFU8GF4nmes6DJQVVXlq9+sqqrCxx9//Cl/68KyTpw4kfs0QUlJiS8trKSkxJcGfimQ71im1svPIIZ7MeKNN97I/XdPT4/v+6Vi9erV+M53voPy8nIIIdDV1YXHH38cP/rRj7TkyLrCkydPQgiBkydP5n6vi1gs5qvd/drXvqYtY/Xq1fjWt76FJ598EplMBi+88AK+9a1vYc2aNVpyMpkMVq5cifb2drzxxhuYMmUKVqxYgXXr1mmPafjw4fjpT3+ae667775bW0Yxw3EcvP7667ne0UHqgOXfC3pmsGqbI3w68vvHm6K3txeO44TuvI5wafjkk098nxHOQZ6B1dXVOHHiRO7T1MhlnYssSP3QRE+8EvGp7j8hxPsANmGgtvj/BNCCAcbrlBCiF8ADGGj19HMMtH0CgB8AmOc4zr8D+ByAR0wGV15ejpdffjn3Ivr6+vDyyy+jvLzcRBwFY8aMwZYtWzB69Gg4joPRo0djy5YtGDNmTGhjAoD169djx44dWL9+vbGMiRMnYsWKFZg/fz5WrFiBiRMnGssKenmWl5dj69atuPnmm/Hcc8/h5ptvxtatW7Xf/ZkzZ9DT04NUKgXHcZBKpdDT04MzZwJzyhkj3yA2NZBnzpyZe44zZ85g5syZRnL6+vp8e8z04Fu4cCH6+/vxwgsvoL+/HwsXLjSSw0R9fT2effZZ1NfXhz2UQUEQ73JPTw/Gjx/vu4THjx9vFIHr6enB0qVLMW/ePCNyKwBobGxERUUFZs+ejdtuuw2zZ89GRUVFzgDTwdVXX+2LSF999dXaMo4cOYK6ujrMmTMHt912G+bMmYO6urpc5D0CziND0yVHi6CHkpIS32ex4MSJExBCRI6NCFc8/uqv/grA+c46+XtdsPY8KyJdrBlRF4RJjjb750I1yTa2B2D1KC30XDDM75e1fzIvP51Oa8tht5IK2goonU4XrG02qf2WMuSP/K4rh/W+WHJkHaisUR02bJjxeIK28pB/x5a6S9veF1NWXV2dmDFjhq8ubMaMGaKurk57PMw1FPS5ZCup/Hp93Zp0Vk2ybWe9Chvq72zbYzbOs23PBtjZh77YalzlM5SVlQnHcXK8LGHPM+uMzv8x4Q2RsOF9seU0Nzf7eHCam5u1Zdj27m2ToyLsFlChoaury8eUDAx4qsNsb3T8+HGsWrXKl8rX0tKCtWvXhjamQ4cOBfYOxWKxgtTwJpEBx3HQ0dGRY5E2ScE7cuQIamtrsW/fPgADEc4/+ZM/wf79+pn7mUwG69evz6WRr1y5UlsGE+Xl5b41nP/9UpBKpXDixAl0dnZCiAGW9Ww2q90uRyJo+pR8x/I9y8+ojoaP119/HQACt/+KxWL4+OOP8b3vfc9XYqG75y+0v3Xf/a5du5BIJDBs2DCcPHkSw4YNwyeffIJdu3ZpyZkxYwZ27dp1nsd7xowZWnI+/vhjJBIJbNiwAe+88w7Gjh2LRCJhnPkRYfDBaK9X7FDnw5b5yb83igXFlpa8c+dO3H777di9ezeEGGCiv+2224qKN4SBDRs2YMOGDRjf+isceOjPjOU4jpNrrWfaBjVCMARjW7gMyGazPjIpGw70119/HW+99Ray2SzeeuutnNJ6JeNCvdNMeqoJIXyEHiabuqysDPv27UNTUxOef/55NDU1Yd++fbn+1DpIJpOYNm0aPM/DtGnTkEwmtWUwIZ0/QPhOH2CgpZBqUHievu9Mvu/8lJ6ghC6muPbaawuOR/4+TKhr2hQNDQ145JFHUFFRgUceeQQNDQ3aMjKZDKqqqrBhwwYsWLAAGzZsQFVVlXYa1YX2t8m+r6qq8pEiVlVVacvYvXs3gPNJheTvLxX9/f1wXReHDx/O8Rm4rhv1mbQYyWQSO3fuxO7du7Fz587Qz3pbwaolZoFFABZh8FHMxJq2QQjh082EEKH1ImeTBF8psP5Ekt4q13UDkYKwUF5ejo6ODiSTSbiui2QyiY6ODuM6aZuY62KxGPbu3Yvdu3dj7969gerLgj5XV1cXEokEduzYgS996UvYsWMHEomEMSGZWi9pw1wHVVKOHz9e0Lg9fvy4tqz+/n5cc801cF0X11xzjZERoJJ1Ffp+ufHOO+/g2muv9UUorr32WrzzzjuhjEfFY489hkWLFgUi+3vppZcwYcIEzJkzBxMmTMBLL71kJOeWW27Be++9ByEE3nvvPdxyyy3GY6qurobjOIEY0rPZrK8G2GR/CCFQWlqKsWPHwnVdjB07FqWlpUZ3R19fH2pqauA4DmpqaoYEUYkupFPNxLmmgnEXdnZ2YsmSJbj99tuxZMkSX3/aCHZCRv+BAR0kMpQjRACam5vheR7Wr1+Pa//mv2P9+vXwPA/33HNPKOPZtGnTeXXRJSUl2LRpUyjjuVywOt1aQrJZh8lqLSHTZvKL8k3TaRhpRp7n+Qyb/O86uP3223OpakFQVlaGzs7O3KcJZLsvOTcVFRXa7aQ8z0Nvby8OHz4MIUQuGhRUobMBfX19PjbpIAp8Z2cnstlsIKUyk8mguroap06dwrBhw0InYZEGcdCUJzYYUZyuri5UVlbm9oaJ8yiVSuH555/PKaX9/f14/vnnjVP2GazCR48ezbFmep6Ho0ePGsmRzyTnx1Tx7u7uxqlTp+A4Dk6dOmXUzq7YIe+aoBH2oHehLFv58MMPkc1m8eGHH+Z+H8FeZLNZfPvb3w5UOhIhQrFhw4YNAID7778fPT09uD8ex7333pv7/eWGJNBcs2YNXt//Bupqp2D16tVGxJpXEiKXnSakYpufHhRm2lJJSYkvAmxq4GYyGR/LsWkUMJlM+loKmaa81dfX4+2338bevXvx9ttvGzEUz549Gz09PTmDu6KiAj09PZg9e7bRmBjwPM+nEAYx2KuqquA4jlFaqipDfV9BZAH2pPAVK8rLy9Hd3Y358+ejo6MD8+fPR3d3t7YxIPvJqmtIWNBfVj2DTMEybh3HwYkTJ5DNZgO18Ygw+HjiiSfgOI7PCeU4Dp544omQR8aDGnEtFjiOg40bN2LRokXYuHFjtMciRDiLDRs2oLu7G+O++4/o7u4OzUCWaGxsxL59+zCupQP79u0regMZiIxkI8RiMV8qX9gX1ieffOJrmxI2SUR+eyXTdksdHR1IpVKYM2cOUqlUjghMB4cPH8aMGTNyPWBPnjyJGTNm4PDhw0ZjYqC/vx+JRAIAkEgkAkVgZBppaWmpsQxWSyog6lF6OfDJJ59g7ty5ePTRR7Fo0SI8+uijmDt3rva+7+rqQmNjI8aMGQPHcTBmzBg0NjaGXiPPgmrcmkIIgYaGBmzbtg0NDQ2BMn4YbfoiXBhPPfXUee9HCIGnnnoqnAHhXL1eQ0MDav7qJznuANM6vmJsv1LonRUL4vE4HMexpm4zqv2OEEEPV8ROYdU8sZDJZDB//nw899xzmD9/flFdWLYgnU4DOF/Rlb+/VOzfvx/Hjh3Dnj17sHv3buzZswfHjh0zYslmQka2gqRvlpaWoqysDK7roqysLJChXFFRAcdxchF3U5SVlcFxHCOCtaGAQjU9upgyZQruv/9+ZLNZvPDCC8hms7j//vsxZcoUbVn5+0l3fw0GbFPkOjo68OUvf9nISafivvvuw/z583HfffeRRhZBhWRBzyfG02VHZ0LW8XV0dODwf/tzdHR0DIk6vggDkNk6YWfnSNhG2BYhgu2wQwu5CGKxmI/QI+yorYSaHmQD1HTiYsBHH30E4Pznkr+/VJSWlqK5uRmzZs2C53mYNWsWmpubAxmUtqC3txcHDhxANpvFgQMH0NvbaySnpKTEd5kHqUf3PA+O41jj0LINfX19PiPQJKV49erVWLx4MSZMmIDZs2djwoQJWLx4MVavXq0lJxaLYd26dfjDH/6AbDaLP/zhD1i3bl3oZ+zChQuxbds2LFy4MJAcW1JTL5Q+GqWV8jF69GhfhsXo0aNDHU9jYyOefvpp1NXVAY6Luro6PP3000MiTVEHtuzVYsWFeCZM+SciXHmQOm8x6L6XE9YbyZlMxpdiVGxRWwajp+M4vprSILJYxnZ1dTVc1zVmuu3p6UE8HseIESPgui5GjBiBeDyu7ZHt7e3F2rVrfUzAa9euNTYobQGTjj8/YmcawXMcB6dPn0Y2m8Xp06eLwgi4UJ1vEDIghje/u7vbR0ZnkpEgHRky6i8/w3ZwsCK3LMgzLAhrd4RPB+MulEztAHKM7WGDUcc3depUAOfPkfz9lY5iTCO3CQ8//DAqKytzDvCSkhJUVlbi4YcfDnlkES4XpM57peu+lxvWG8lAcaeIMFILmTU9sh4xaF0iox7wwQcfxNtvv409e/bg7bffxoMPPqgto6amBh9//LEv4vrxxx+jpqbGaEy21BVe6KAzOQAlsZlMtzZNDSvG2rLOzs7zDOLy8vJQW8u0tLTAdV3U1NT4PltaWrTk9PT0YObMmT6irJkzZ1qTGhgEjuNgxIgRvs+g8kzB7CNdzGB0eihWvPbaa5g6dapvjqZOnYrXXnvNSJ7KiWEDbGqFyUBzc7PW7wcbjY2NeOyxxzB58mTAcTF58mQ89thjUUZDhAifAuuNZFaUy1bY5kG1SVH5/ve/70sp/f73v68t48SJE+jt7fXVqfX29hob77bUFQohkEwmMX78eLiui/HjxyOZTBq/txMnTkAIERFuFUBnZyeEEBj33X+EECL03quHDh3KtTXLZrM4fPgwent7cejQIW1ZX/ziFzFp0iS4rotJkybhi1/84iCMWA8sx+EHH3zg+zRBSUmJb28EKUUIml0TYWjjtdde851DpgYywOHEYMImvYOBDRs2oLm5OZfZFY/H0dzcHCo78VBkJo4QISistzjHjh170e8RihPxeBzd3d04ePAghBA4ePAguru7tdOJu7q6MHPmTLS3t2PRokVob2/HzJkzQ2fwZRgCS5Ys8UXalyxZwhpehEFEfX09nn32WaOWZhI9PT146KGHsGPHDjz00ENG0V/XdbFu3TocPXoU2WwWR48exbp160J1RJaUlPgyh4L2aw+Kvr4+Xy1XkLZUxYZUKgXHcXDNNdcAjotrrrkGjuNEdY5DCLaR7NkE29r3RIgQQR9Wn2zxeBwHDhzwpeIcOHDACjr9uro6bN26dYCQIwDU9iIRzkGmuOZ7mE1qQV9//XWMHj0aruti9OjReP3117VlzJs3D8D5SoH8vS4YJQTt7e344Q9/iO7ubvzwhz9Ee3u7sSwWcUqxpc0NBl5++WXceeedePnll41llJaWYsOGDViwYAE2bNhgRMZRVlaWi7QCyEVcw2QmHzNmjC/6MmbMGGNZrFpiVi3Xxx9/jGw2G6jFmk14+OGHUVFRgWPHjgEii2PHjqGioiKqcxxCKOZSuAgRIkSwmoJWRkfyDSUbauZef/31wOkqsVgMHR0dOYKaWCwWatp1ZWUluru70dfXh5KSEiQSCZw+fTqUsRw/fhzJZBJ9fX258ZSUlOD48ePask6fPo2/+7u/Q21tLfbv348VK1Zoy9i5cyduv/127N69G8DAWpw3bx527typLYuBVCqF48ePo6WlBZlMBrFYDNls1jiKU1VVhVOnTqGqqipQyrXjOBBC5D4jDA66u7tx6NAhCCFw6NAho17bF8qmCCvLwvM8HDx4MPe9p6cHBw8eNCISSyaTGDZsGE6ePIlhw4ahp6fHuF+7PJfDPp9tg7z/1qxZg9f3v4HJkydj9erVURpnhAgRIkQoClgdSZYo1vYAsVgM48ePh+M4GD9+fOjPd/r0aR+Jz+nTp0ON2juOg5qaGt+nCYQQvlpiU+Nt586dyGazGPfdf0Q2mw3NQAYGojhlZWW+mvaysjLjKA6DaA2IIguXE1dddZXv0xSjRo2C4zgYNWoUY1hWoKGhAeXl5XAcB+Xl5caZOmPGjMFnP/tZuK6Lz372s4Ei27bxTzAQ1TlemWD0sy92vpgIESJEsP5UcxzHl+JaTGmcss+tECLX5zYso7S5uRme52H9+vW49m/+O9avXw/P83DPPfeEMh4A+OSTT7B8+XJs374dy5cvxyeffGIkR+2vrfbdvtKRHz00iSZGuDLhOA6OHj0KADh69KjxmnYcBy0tLdi+fTtaWlpC3RsXWr+66zoWi+GZZ57x9X9+5plnjJyQR44cwR//+Edks1n88Y9/xJEjR7RlRH2SI9iGRCIBx3ECsVtns1lfuVjkGI0QIUKxwep0a2AgChiLxdDX15f7tAEVFRXo7OzMfepiy5Yt+Mu//Evf85SUlGDTpk3MYV4yJKnE/fffj56eHtwfj+Pee+8NlWzC8zy0trbm0q09zzOqC5TpmplMBq7rwnVda9aRKe655x709fWhqakJCxYswPbt27Fx40bcc889UTTHUsTjcVRXV+P999/P/e6aa64xit57npdbw5lMBiUlJUZrWmZZMJBIJNDd3Z37NMX69etzpREmY6utrcXvf//787IaamtrjcYTlAk4agH16XBd12dk5X+PwIPrurkz58SJE8ZzXV1d7SsXq66ujrojRIgQ4ZJwpZTmWR9JBuxrVwAgZxibtoNpbGzE008/PUD85bioq6vD008/bWzgMFgmmWyMDAKnvr4+n6JratjKuub8/76S0dXVherqamzcuBGLFi3Cxo0bUV1dbVxPGrGUDj4mT57sM5AB4P333x/oXamBWCyG/v5+X8/u/v7+0Ms1GOe04zhobW3F/Pnz0draanR+/H//f3v3Hidlfd/9//3ZHViQQ4SIaCBhY37VgCC1Nndi9G5FCghGe1tikm0ORomEk8mdaJVIDs0BoyakMZhAQzExtiGpp3hENAbaWr2TNE2yoFRqFX+3qRogSwIElmX3e/9xXbPMLLMz18xcM9d3rnk9H499zO7M7Hu/Mzvfmev7vb6HHTt0zjnn5K1Kfc4552jHjh0VlYm6UVvZ9RSyw/3Hjx+vvr6+xF/PaTWwQVxpZ0RXV1fetmY0kAFE1SjbvjXEp75PBynZ1ZUXL16siR/5nhYvXpx3fTninM/l21zQaitAa2vrMb+bHVVQiTTOu+zq6tKoUaPU0tKiUaNGVXyQYmZ5rx+GgdbGtm3byrp+MNn557mNydz56Y3MOZfXoVXJ+0d3d7c+9KEP5e3//KEPfaiiBR+HDh2aN1WjklXEs3z6HPNJ9jM0d5V1KV1zt30xbdq0sq4vZejQoXLOVVUvAMBX3g+3zh0K1NfXl/gwrHXr1mnBggVas2aNpDVao2ARjHXr1iVWJh+1tbXp8OHDGjp0aEUHpwMXualm0ZvsvMvc1a19772KKrv6eDWrkDvnNGrUKB04cEAjRoxIbEXztCs0tKjSoUbd3d39dSF3xEWSfFkFOpPJ6Oqrr9Zdd93VX553vvOdFa2SfeTIkf7ntqenp6oGrm8dmb7Ijlhat26duru71dbWpiuvvJJ9ZWugs7NTZ5xxhrZu3dp/3bRp09TZ2Vl21sDOVN+HTQJI3mBtOF87j/0sVY6+vr68/S6TPsDo6OjQ+vXr84ZJr1+/PtF5oIU+rJLW3d0t55wX23W96U1v0jXXXKO5c+fqmmuu0Zve9KakixSb7IF/JQ2AXPv27VNfXx8N5BorNDqiEr29vXmL5vhw1m306NEyM40ePTrxcnR1damjo0OzZs1SR0eHurq6KipXXENTUVycU31QXGdnp5xzmnTdg3LOVdRAloLRWdm91V999dVUjdIC0iK7LeiQIUPyLivdLrRaS5YsKbiY7pIlSxIpTyleN5IzmYza2try5v+2tbVV3SColm/bXjjnNHLkSEnBgmJp6s2tdqsKM9Nzzz2XN0c69+dGl13515eVrRlSWh9tbW3q7OzU/Pnz1dnZWdWq+HFssTd+/Hh1dXXJOaeurq5ED5i7uro0YsSI/j3Vf/Ob32jEiBHMmQRi0tbWpldeeSXv/f6VV15JdMtIAMfas2ePxo4dmzeNaezYsdqzZ08i5Vm9erWWLl2ad4Jn6dKl3naMen0k29vbq1GjRmnChAlqaWnRhAkTNGrUKC/OmvikpaUlryMhTQ2Uw4cPyzlX0arWkvrnSg0c6piWOVTt7e2644471N7eXnFGnCMRGFJaHzNnztTLL7+svr4+vfzyy5o5c2bFWdXu3ztixAi9+uqreQfMr776akXrNMRh6NChmj59el55pk+fXnGdp+MHyDfY53Gln9MAamfPnj15o0eSaiBnNdLIIa8/9adMmaIPf/jD/QdbI0aM0Ic//OGKt/JIq+yQ9Owqkz40UOI4OyVJJ5xwQt5luQYb7u3DMPA47Ny5U+9///u1c+fOijPiGgKM+nn44Yfz6vzDDz9ccVZcdTWuDpJqG6Xd3d3613/91/46PvDncsvyhje8Ie+yUnGs+I/S6NSoPedc/yrkkvpXJ+ezA0CaeP0psmLFCn3zm9/UgQMH5JzTgQMH9M1vflMrVqxIumheGTJkiLq6utTX16eurq7+OQdJqvbsVNauXbvyLiuVOxwdSFK1jdLskMb9+/fLOdc/iqTSoY7V1tUDBw7krRyfXUm+0u3I4mps565lUam+vj7t3r077xL+OvnkkzV58mS1tLRo8uTJOvnkk5MuUmplVyEf7GcAaHReN5KlYEGhnTt3yjmnnTt3srBQAQP3/fVhH+C4evPjOmCudl9rIC7VNkq7u7vV3t6e10hub29PdHTEm9/8Zu3du1eStHfvXr35zW9OrCxSMOro7rvv1mOPPaa77767qqHfcb13NMq+kI3s5Zdf1tNPP62+vj49/fTTevnll5MuUqq9/e1v15133qm3v/3tSRcFAGLndSN52bJlOnToUN6Zl0OHDmnZsmUJlwyl+DY3Na1DHRcvXqwHHnigf69RNIdDhw7pRz/6kR577DH96Ec/0qFDhxItz/bt2/OGN2/fvj3R8sybN09XXXWV5syZo6uuukrz5s0rO2OwDj6G8fppsPf2tL3n++THP/6xLr30Uv34xz9OuigAEDuvP+2zq5NGvb6ZjRkzRmZW1dBC3wwZMiRv2fpqhpGn8SzOpEmTtGbNGl100UVas2aNJk2aVHFW7nZC1RgyZIjMzIsh/2mVyWS0a9cunX/++Zo1a5bOP/987dq1K/FV/31y55135p1RvPPOO8vOyHbwDRwVU27H37Rp0yQd21GXvR7xWLp0aVnXozqTJ0/OW6F28uTJCZcofTKZzDGdci0tLbzXA3XidSNZCg4obr75Zm3cuFE333wzvcIFmFne0Mukn6NMJpN3lqvSN/SBv8cHw1Gtra168cUX86578cUXK57nev/99+uSSy7R/fffX1W5enp65JzzYsh/Wh05cuSYodq9vb3ebAOWtMHmZpc7Z9vMNHPmzLw5rjNnziz7/bWzs1PTpk3L66ibNm1axfvTorDVq1dr2bJl/f/ntrY2LVu2zOuVUxuZb6NH0mjRokWSFK73cHTdh+z1AGrL+1aHc05XX3110sXwmnNOc+fO1eWXX65vfetbVTd0qnXkyBHNnz9fXV1dGjNmTMUH7wcPHuz/vqenh4ZXjsHOiKfpTDmaUyaT0ZEjR/ovyxXXivbOOf3Xf/2XbrvtNvX29qq1tVVXXHFFRXUs2yBuX/6Qdt54Ydm/j2hWr16t1atX8zzX2OzZs/Xoo48WvB7xyXbwrFu3TpLT3r17tWTJEjp+gDrx/kwyoonrTGC1skODurq68i6ZxxevwYZ8+jIHHIOLa8sl38Q17z/bMK7mzPgpp5ySV55TTjml7Iy2tjYNHTpUM2fO1KxZszRz5kwNHTq04lXEgbTYtGmTZs+enVfHZs+erU2bNiVcsvRppD1lgbSh5ZJSEydOTOTvLlmyRGaW1xAwMy1ZsiSR8qTZwMZIksPss/MrL774Yk1Y+vf9c5uZd3msuLZHi0vufsvV8Gne//PPP593AP/888+XnXHqqadqx44duuiii3Tvvffqoosu0o4dO3TqqafGXVyg4WzatEl9fX2adN2D6uvro4EMIHVoJDe47373uxo3bpza29sla1F7e7vGjRunm2++OZHyrF69WkuXLs1b0GPp0qUV937GtaBUGjnn8hoCSTZOsvMu77//fv3q6+/T/fffz7zLGhs+fLjMTMOHD68qJ3eP9TTJdtBVesZ+x44dOumkk/JG6Zx00knasWNHzCUFAAC+oZHc4Do6OnTLLbf07wM6YsQI3XLLLero6EisTHEOD4prGHlc+zb7xqezd52dnXLOadJ1D8o5RwO5xg4ePCjnXN7cfRxV7SJy3d3d2r17t1atWqWNGzdq1apV2r17d6L7UQMAgPrwfuEu6ehZsqTPlvmqo6NDHR0dal/+kLaxWMkxWltb1dLSor6+vv6zS74MdUXzGGwhqrSs2j5mzBjt3btXxx9/fGrOSk+cOFHXX3+9uru71dbWpokTJ2rnzp1JFwtIhcGO6ZLeoQMApAY5k+zT2TI0nt7eXo0cOVKSNHLkSBrISMR3vvOdY4b+tra26jvf+U5CJYpXV1eXnHNVN5DjWgAsDjt37szbq50GMhAf9rYG4LOGaCQD1Rq42nbScg+80Rw6Ojp0xx136PTTT5esRaeffrruuOOORKdGSNVPRchu+zIwp9LtYE488USZmU488cSKfj9Ora2teXvBpm1FciBJ7G0NwGc0kuGtTCaTd1YpLcNSJfXPk2Tv5+bS0dGhbdu2adK192vbtm2JN5Clo9uGVbp9WHY7mNwRP9VsB/Pqq6/KOadXX321ot+PU29vb15dZRQKEC+2OALgKxrJ8NaRI0c0ZcoUbdiwQVOmTKlq31QAtcN2MAAAIE1oJMNL2TPITz/9tDo6OvT000/nXd+oBhuCWunQVAC11d7erjvuuCPYZg8AADQF7xvJw4YNyxtyO2zYsIRLhHqIe0EPX7aAyg5NzX1NVzM0FUBt7dy5U+9///tZtAsAgCbifSP50KFDeXPdDh2RkJz4AAAgAElEQVQ6lHCJUA+DzUtKw3wlhqYChZmZ2tvb8y4BAADqzftGMpqXc07OOU267sH+7ytV7eJEAGrPOaedO3fmXQIAANRbepYLBpqQmck513+ZdA6A+E3/7KP67cH8lfDblz+U9/Nrhg/RLz/D2gYAAMSBRjLQwHKnIlSjpaVFvb29/ZdoHkOGDFFPT0//ZVKWLVumW2+9teD1ze63B3u088YL+3/esmWLzjvvvLz7DGw0AwCAyjXEcOtRo0appaVFo0aNSrooQCplG8Y0kJuPL3t2r169WsuWLVNbW5skqa2tTcuWLat4HQJfFusDAACNpyGOHvbt26e+vj7t27cv6aIAqdLa2ipJGj9+vCQLL49eD9TT6tWrdejQIU267kEdOnSoqoX6WIcAAABUqiEayQAKGzNmTN5luRYvXiwz0+7duyU57d69W2amxYsXx1hK1AJnSgEAAGqDOclAA+vq6sq7LFf2TN26devU29urTCajK6+8MhVbbaUdZ0qLa2lpUV9fX/8lAABAVJyCAJpcnENcAV/E1YmQ3auZPZsBAGgeNJIBABhEXCvIAwCAxtEQjeShQ4fmXQIAAAAAUAteN5LNTGPGjNHhw4clSYcPH9aYMWMY9gYAAAAAqAmvF+5yzmn06NG6++671dvbq9bWVl1++eUVL1IEAAAAAEAxXjeS29ra9OKLL+r8889PuigAAAAAgCbg9XDrK6+8UplMRqtWrdLrP3aXVq1apUwmo2XLliVdNDQYVqgFUAn2owYAoPl4fSY5uxXN9ddfr+7ubl3f1qZFixaxRQ3Kxgq1ACrBftQAADQf77vG2cMVAAAAAFAv3jeSAQAAAACoFxrJaApDhgzJuwQAAACAQmgkoykwrxBpk8lk8i5RG62trTIztba2Jl0UAABQJzSS0RR6e3vzLoFGN2zYsLzLcmVXeh8zZoxkFlyKFeAHcs71fwEAgOZAIxkAGtD+/fvzLsu1dOlSmZm6urok59TV1SUz09KlS+MsZsNjFAoAAM2HRjJSbdq0aWVdD/huxIgRko7dvzd7fVSrV6/W0qVL1dbWJklqa2vT0qVL2UEAAAA0PRrJSLXOzs5jGsTTpk1TZ2dnQiUCqrNu3ToNGzYs7wznsGHDtG7durKz2GIPAADgWDSSkXqdnZ1yzmnSdQ/KOUcDGQ2to6NDt912m04//XTJWnT66afrtttuU0dHR9JFQx3s+v0uffWVr2r3wd1JFwUAgNSikQwADaajo0Pbtm3TpGvv17Zt22ggN5G1nWv1fPfzWvvLtUkXBQCA1KKRDDQw9n8Gamv48OF5l0na9ftduu+5++Tk9IPnfsDZZAAAaoRGMtDAenp68i4BxGPs2LGSpIMHD+ZdZq9PwtrOtepz4Vx018fZZAAAaiSTdAEAAPDNnj179NrXvla/+c1v+q8bO3as9uzZk0h5smeRe/rCjrG+Hv3guR9o0fRFOmH4CYmUKW2mf/ZR/fZgfodj+/KH8n5+zfAh+uVnZtezWACABERqJJvZpyRdJqlL0qXOuZ05ty2QtFxSt6TLnHM/y7ntckmfcc61x1hmAABqLtsgbl/+kHbeeGGiZck9i5yVPZv8ybd9MlIGjcDifnuwJ+//vGXLFp133nl59xn4fAEA0qlkI9nMJkm6RNJpkuZJuknSu8PbhitoIJ8p6Y2S1kl6W3jbeElza1JqoMktW7ZMt956a8HrAaTPL3/9y/6zyFk9fT36xa9/ETmDRiAAANFEOZM8Q9JG51yvmW2U9PWc294q6SfOuf2StprZCWZ2nHPu95JWSfq8pAdiLzXQ5LL72a5bt07d3d1qa2vTlVdeyT63QErddfFd/d8XatwCAID4RGkknyhptyQ5546YWauZtTrnenNvC+2SNN7MTpf0knNuq5kVDDWzhZIWStL48eO1ZcuWkgWJcp+Blj5+QAcGrGk0sKd8xBDp6zNHlJ1daZnIaZycQq8fKb7XUDWPa/78+Zo/f74++MgBffuCEVXnxfH71eTUsq769jqMM4uc+mQm/bhyf2///v0Fc8r9HK0mJ47f8TGnVs9PNb9HDjnkNF5OnFnkDG6w9+lYOOeKfkn6K0kfy/n5vyW1ht9fKumWnNueknSGpH+SdFx43c5Sf+Oss85ypUy67sGS94nye5s3b65ZdqXI8Ten0O/E9RpKw/MTZ06t6mrSj6uWWeQcS9KgX0mUJ46cuOpGs9SxpJ/nKNmVIocccvzPiTOLnOIKvU8PJOnfXIm2aKGvKFtAvSzpBEkys0x4oNE78LbQOAVzk98s6Rkz2ylpopn9e9mtdwAAAAAA6ixKI/mHki4ws1YFC3f9i5l9ycxmS/qJpDPNbKSZTZe0yzl3n3NuvHOu3QWrWr/knPujmj0CAAAAAABiUnJOsnPuFTP7lqRnJR2QdJGkL0sa65w7bGaflPRzSX2S3lPLwgIAUMzYsWPz9jbOvb5RjZq8XNNuX55/5e0D7yNJyW5TBQCNhG3xUEykfZKdc7dKyt1v5l05t90j6Z4iv9teaeEAACjHnj179NrXvjavoTx27Nj+PY8b0b7tN7J1EwDEjG3xUEyU4dYAADSMPXv2yDmnSdc9KOdcQzeQAQBA/dFIBgAAAAAgFGm4NQA0G+YqAQAANCcayQBQAHOVAMBfhToypfz3ZToy/RJX5zOd2KgHGskAAABoKAM7MqVjOzOjdGTS2K6fuDqf6cRGPdBIBpAq9DADAKKKq7ENIF1oJDc5elCRNvQwAwAAoBo0kpscPagAAAAAcBRbQAEAAAAAEOJMMgAAAACgX7NPyaSRDJRh1+936auvfFVTD07VCcNPSLo4AAAAQOyafUomw62BMqztXKvnu5/X2l+uTbooAAAAAGqARjIQ0a7f79J9z90nJ6cfPPcD7T64O+kiAQAAAIgZjWQgorWda9Xn+iRJfa6Ps8kAkFLZqTV0hgJAc6KRDESQPYvc0xcsYNDT18PZ5BriABVAkphaAwDNjYW7gAhyzyJnZc8mf/Jtn0yoVOmVe4DK8wugngZOrVk0fVFZCzU2+4qwQLOhzqcTjWQggl/++pf9Z5Gzevp69Itf/yKhEqVXtQeoAEpjpf7BFZpaU05nXbOvCAs0G+p8OjXVcGuGcKJcoyYv17Tbp+nZrmcL3v5s17Oadvs0jZq8vM4lSy/mfgO1x3DiwphaAwCQmqyRzEEByrVv+43aetnWvK/Vk1Yfc92+7TcmXdRU4AAVqD1W6h9csak1AIDm0TTDrRnCCfiPud9A7VU7nLjQ/LuBQwkbdf4dU2sAAFITNZJrcVAgMSkfiJOvB6jM30RaDDZao5yO44Hz7wbOvZMad/7dXRff1f99ocdVTxx3AEBymqKRXIuDAolJ+UDcfDpAzcVq20gLRms0Do47Gk+aR1kAzaYpGskcFACoFFM1kCa+jtYA0iDNoyyAZtMUjWQOCgBUqtqpGkAcjjmwfuTYs1NR+DpawwfBbgYDdiq4feB9JCn/7C4AxIEpFn5JfSN51OTlerar8G1Ht++R+NADkuXjAWocUzWAag0cctu+/KFjrkP19m2/kbOAQAEMI68Pplj4JfWNZD70ysMCRUiKj3WVqRoAgGbHMHJUo1HPkKe+kewb318oLFBUO/TE1l+1nT5M1UCa+DhaAwAQL9/aGo16hpxGcp35/EKpZoEi3yqkj+iJrb9qO32Yv4k08XG0BmqvWT6fGQkHBHxuazQSGsnoV80CRVRI+IZVqQGgeT6f4xoJl6bGNiPYokvT/x3xoJEMScUXKAKK8fVDuNpVqRmaCgCNIc5O0TRNO2MEW3Rp+r/XSrN1JNBIhqTiCxRJZyZTKDQEHz+E41iVmqGpANAY4tqqjxFIzYn/ezTN1pFAIxmSSi1QRCMZjYVVqQH/+ToKBbUV9xzpOEfCxdXYrhZ1o758+b/7rBk7EmgkQ1LxBYran+RsGRqLT6tSN8uiOTgWB7rF+TgKBbUX9xzpuEbC+TTtjLoRXbVDgOMYedYMmrEjgUZyg4rrwLvgvEspb+4l8y7RaHxalbpZFs3BsTjQBWovrpFwTDurr7jmt1Y7BJiRZ6X51IFUTzSSG1RcB94D511WmgMAANLL11ExcY2EY9pZfcUxvzWOIcA+jTzzVbN2INFIhld8/BAu2EnwyLFDJgEASKu0j4ph2ln9xDW/NY4hwD6NPPNVs3Yg0UiGV3z7EB5YluzfL3Q9AKD+mPsNNJY4GrfMJa6fZu1AopEMIFXY3xhoLr7P/Y5r7mWz7VFaCmuqNKa4GrfMJUat0UgGkCrsb1wfPk6NAHwU196izbZHaSmsqdKY4mrcMpcYtUYjGQBQNt+mRgA+imvuZTPuUYp0iqtxy1xi1BqNZAAAgBqIa2/RZtyjFOnUDI1bpkakA41koEmx2A2AanEwOLi49hZt1j1K64W5zYgbUyPSgUZyhTgwQDV8eP34vtgNAP9xMDi4uPYWbdY9SuuFuc2IU5qmRjR7B1JL0gVoVLkHBkC5eP0AaHQDDwZ3H9yddJG8EtfcSxYoakzZznDqRXMpNDWiUe3bfqO2XrY172v1pNV5P+/bfmPSxawZziRXIE29RKg/Xj9Ikm+rUvtWHkTHPNni4tpbtFn3KG10jLKonbi2eox7y0imRqQLjeQKcGCAavD6QZJ8W5Xat/Igmrj2OgXSiM7w2oprq8e4t4z0dWqED1P8fC7PYLwdbj39s4+qfflD/V+S8n5uX/6Qpn/20bqXa7ADA4bT5GOYUWG8fgCkQfGDQaC5pWnILaLzdWqEb1P8fCvPYLw9k+zrokK+9hL5hmFGhRV7/fA8FajTjxy72jaA5Pl6MIjSGuUsTqNilEXzintqRBx11bdRDb6VpxhvG8m+Kn5gQCNZaqwKUG9pP7Cs5g194JDb9uUPHXNdM2PuLnzSDHudppVvndhpa7TTGT64uOcAp10cddW3KX6+lacYGsll8rGXyDeNVAHqLe0Hlr4dfPmo0jrP3F2g9uIYzeLztik+dmKn7XMj7s5w344TqylP3HOA0yyOuurbQmK+lacUGskJS9uHQ6NVgEZU6IziwA+VJM4o+njw5aO01XkgLeIazeLzvru+dWKn8XMj7s5w3z4zfCtPWsVRV32bIupbeUqhkRxRLXqG0/jh0GgVoBE1wnx9Hw6+4hD3HOk01nkAjcHHTuw0fm7EybfPDN/Kk1Zx1VXfpoj6Vp5SaCRHVIue4TR+OPhSAXycv5nmuThpXKikFnOk01jnATQG3zqxfWy0+ybOz4w4hm3zGVYfcdVV3/ZY9608pTRFI9nHFXPj/nDwZc6KLxXAx/mbaZ6Lw0IlpXFA2Nx8eY+OQ5o7/NIs7k7sal/TvjXafRN353O1w6TT2BnuK19OODW71DeSfV0xN+4Ph2re/Ao2zB7JP+OalDQdWKZZ2lftjgMHhM3Nl3l8cXQap7nDL83i7sSu9jVNQ6C4ODuf4xgmTWf44OKekunLCadml/pGsq/i/HCo5s2vUIeBLx0Jkj8Hligu7at2x4EDwublyzw+XzuNJTpEG00cr2kaAsXF2fkcxzBpOsMH5/NifagcjeSExPnhkNY5Ir4cWAJx4ICweaX1PTpOdIg2Fl7ThcU5FSGuzue4hknTGd44fN6GrpHQSG5wvsxzrEWF5EMYQKNjHl9pdIg2Fl+OO3zk41QEhkk3H85sx4NGcoPzZZ5j3BWSD2GgPuIa5pqW4bJRVsaXoq+OzwFqab6t4OsLX88G+XLcgWgYJg1UhkZyg0vrPEc+hOsrTQeWKE9cw1yTHi4b17ZvUVbGH5hbDAeoxfm2gq9PfD0blNbjjrRimDRQGRrJdcYKeNHwIVxfaTqwRHRxDXP1Ybisj9u+SRygluLbCr4oLa3HHUDSfB09Uq1GfVw0kuvM155h3/AhXD/VHliyZ2rjimuYK+sHoFK+reCL2mvUA2ag1tLaRmjUx0UjGWhgcQyTrvbA0seFSuLYCzbt4pr3z/oBqIZvK/imkW+N0kY9YK4n3zqffSsPUA8N0UhmviRQWLXDpNN4YOnbXrC1OkCt9n0xrnn/ca8fwPs9KsECaYOjUdp4fOt89q08QD00RCOZ+ZLNw7ceb5/FMf+OA8vaq9UBarXvi3HN+497/QDe71EJFkgDAMTJ+0YyC3EUltbGJD3e0cUx/44Dy8YUx/tiXPP+41w/gPd7VIoF0gAAcfK+kcxCHIXRmGxucQ2T5sCyMaX1fTFtj4t5fAAANCavG8lpnC8JxIFh0s0rrQtlpfFxMY8PaeLjCLaC9eeR/L3RAVSumeuY141kGgKIS9oWA2KYdPOKe6EsX6T1cWFwnGlvLL6NYCu0IGPSCzX6hjqGajR7HfO6kUxDAHFJ22JADJNuXnEvlOWLtD4uDI4z7fBFWs+WUceAykVqJJvZpyRdJqlL0qXOuZ05ty2QtFxSt6TLnHM/M7O/kPRZSa2SHnDOXVdJ4WgIIA4sBoQ0iXOhLJ+k9XEB8Fuzny0DUFjJRrKZTZJ0iaTTJM2TdJOkd4e3DVfQQD5T0hslrZP0NgWN6T+V9FtJT5nZ6c65p2vxAIBS0rYYUFwYhtWcfJxXWAtpm2KBwfFeBgCIW5QzyTMkbXTO9ZrZRklfz7ntrZJ+4pzbL2mrmZ1gZsc55zZn72Bm/1fSmFhLDUTk22JAxwxreiT/53oO6WIYVnOKa16h743ttE2xwOB4LwMAxC1KI/lESbslyTl3xMxazazVOdebe1tol6Txkl6QJDMbI2m6pJ8NDDWzhZIWStL48eO1ZcuWY/5w7nX79+8veZ+oKvmdQr9XqExRsn3LiZJdye8k/bi2bNmi7+/5vo70Hsm7/kjvEX3q4U9Jekddn59vXzAi7+cPPnLgmOuiZEc9a7Jly7HZxf5WNXXMt7rqW04cr+mojdJy/++Vlmff9huPef3u379fI0eO7P/5g48cSOQ98bdHfqt7//teOTnds+MenXHgDI1uHV12TjZr/avr9bvHf9efUUmZpHTVDd/eO3x7nn38PExjTpTsSlE3yKk0Z7CsRsyJkl3J78RVnsH+Z7FwzhX9kvRXkj6W8/N/S2oNv79U0i05tz0l6ZScn78naUGpv3HWWWe5gaZ+e2qkr3JNuu7Bsn9nsN/bvHlz2dm+5UTNrld54s6Zf9/8gq+b+ffNr+vzE2fOwN8b+PxEzfYtJ47f8THH17qR5pzPPfU5d+Z3znRTvz3VnfmdM93nn/p8xeX53FOfc9O+Pa0/o9IyOZeeuuHbe4dvz7PPdSNNOVGz65nj22uanGRyCmU1Yk7U7CTLU+h/NpCkf3Ml2qKFvqKcSX5Z0mRJMrNM0K52vTm35U72GqfgbLLM7GpJB5xz6ytpvDN8CnFgMSCgucQ5xYJF/1CptK6WDADNIkoj+YeSPmZmn1awcNe/mNmXJD0maYukb5rZSElvkrTLObfPzGYrmIg2pzbFTgYfegDgtzj3W2bRP1SC1ZKBxuHTWjHwS8lGsnPuFTP7lqRnJR2QdJGkL0sa65w7bGaflPRzSX2S3hP+2uow+6dmJknfc87dWIPy1w0fegAQv7gXAItrv+ViZ6Q5mwwAjW/gMTzH9cgVaZ9k59ytkm7NuepdObfdI+meAfc/LZbSoaFwph1AueJabTsrrikWxc5IczaZsy8AgHSL1EgGSvHtTLvv29MA8FvxM9LNjbMvAIC0o5GMVIr77BSA5lLsjDQAALkYTZk+NJIBAAAANAyfpnz4NpoS8aCRDKBqPn1YAUBacHYKaRPH8QJTPlAPNJIBVIUPKwCIX5rPTqW58U+n8eA4XmhejVjnaSQDQI014ocDANRCmhv/NALhC5+OOxq1ztNIhnd8qthAtRr1w6HRsKI9AAAcd8SFRjK8QsUGUAlWtAcAAHGhkZwAzpQCSBLvQUBzoc43HuY2A8mikVxncZ4p5UMPQLkYrVFclGHbwf0khm6jEVDnGw9zm4Hk0UhuUHzoAUD8ogzblqIP3eZsEAAAjYdGMtCAOPAG/MfZIABAORgl6g8ayUCD4cC7efHhCSBJvAcBtcMoUb/QSAaaGGekG4ePH54cMAPNw8f3IACoFRrJQJPijDSqwQEzAABIK68byZzlAgAgvficBxoDdRXNxttGMme5AABIrzg/5zmABwqLo25wTI5m5G0jGfDNhg0btHLlSr34zHZNfXCyVqxYoY6OjqSLBQBNjQN4oDDqBlA5GslABBs2bNCiRYt08OBByfVpx44dWrRokSTRUAYAAABShEYyUivOlXeXLVum3/3ud/0/9/T0qKenR8uWLaORDFSJVbIBAIBPaCQjleJeefc3v/mNJKmlpUV9fX39l9nrAVSGVbIBAIBvWpIuANBIzCzvEgAAAEC6cCYZKINzLu8SgD8Ytg0AAOJAIxkoQ19fX94lAD8wbBsAAMSFRjIAAA0gd5qH3RRcMqoFAID4MScZAIAG4JyTc06bN2/u/x4AAMSPM8lAGcxMzrn+SwDpU2pus8T8ZgAA0oxGMlAGFu4C0o25zQAAgOHWAAAAAACEaCQDZWhtbc27BAAAAJAuNJKBMowePVpmptGjRyddFAAAAAA1QCMZiKi1tVVdXV1yzqmrq4uzyQDqasOGDZo6dapmzpypqVOnasOGDUkXCQCAVGLhLiCivr4+rVq1SlOmTNEzzzyja665JukiAWgSGzZs0IoVK7R+/Xr19vaqtbVVCxYskCR1dHQkXDoAANKFRjIQkXNO1113nY4cOaJMJsMK1wDqZuXKlVq/fr1mzJihLVu26LzzztP69et11VVX0UgGACBmDLcGIjruuONkZpKC/ZKPO+64hEsEoFls375d5557bt515557rrZv355QiQAASC8ayUAEmUxGZqYJEyaopaVFEyZMkJkpk2EwBoDamzx5sp544om865544glNnjw5oRIBAJBeHOEDERw5ckR9fX06ePBg/2X2ewCotRUrVmjBggX9c5I3b96sBQsWaOXKlWVnZUfESJLdFFwyfQQAgKM4kwxE0NbWprPPPlt79+6VJO3du1dnn3222traEi4ZgGbQ0dGhCy+8UHPnztWsWbM0d+5cXXjhhRXNR3bOyTmnzZs3938PAACO4kwyEMHhw4f15JNP6sQTT9Srr76q448/Xk8++WTSxQLQJDZs2KCHHnpIGzduzFvd+u1vfzsLdwEAEDPOJAMRtLa26rjjjtPw4cPV0tKi4cOH67jjjmOvZAB1kbu6dSaT0YwZM7R+/fqKhlsDAIDiOJMMRHDkyBGNHDlS0tG5e0OGDNGBAweSLBbqoND8TYk5nKgvVrcGAKB+OJMMRNTd3a1f/epXcs7pV7/6lbq7u5MuEuqg0PxNGsioN1a3BgCgfmgkAxG0tLSou7tbN954ozZu3Kgbb7xR3d3dammhCgGovezq1ps3b9aRI0f6V7desWJF0kUDACB1GG4NRNDX16fhw4dr+fLl6unp0ZAhQ9TW1qaDBw8mXTQATSC7ONdVV12l7du3a/LkyVq5ciWLdtUAUywAAJwGAyIaOnSoJkyYIDPThAkTNHTo0KSLBKCJdHR0aNu2bXr88ce1bds2Gsg1whQLAABnkiEpv+dcOtp7zoFBIJPJqKWlRbfddlv/9ivz589XJkMVAgAAANKEM8mQJH33u9/VuHHj1N7erpaWFrW3t2vcuHHasGFD0kXzQm9vrzKZjK644grNnj1bV1xxhTKZjHp7e5MuGgAAAIAY0UiGJOnaa69VJpPRbbfdpk2bNum2225TJpPRtddem3TRvDBlyhQtXLhQI0aMkJlpxIgRWrhwoaZMmZJ00VBjGzZs0NSpUzVz5kxNnTqVjiMAAICUY6woJEkvvfSSHn30Uc2YMUNbtmzReeedp9tvv12zZ89OumheWLFihVasWKH169f3D7desGCBVq5cmXTRUsenRXM2bNigj370oxoxYoQk6cCBA/roRz8qScwHBQAASCkayUAErCxbP9nGcLazJkm5IyyynSPvfe97de211/K/BwAASCmGW0OSNHHiRH3gAx/I24PzAx/4gCZOnJh00bzByrLN56WXXtLtt9+uGTNmKJPJaMaMGbr99tv10ksvJV00AAAA1AhnkiFJuvnmm7Vo0SLNmTOnfx/g4cOHa+3atUkXDQAAoOYKTfdhlw+gOXEmGf3a2to0YcIEtbS0aMKECWpra0u6SGggZiYz04s3vaP/+4FbizUaRlgAQPMotEc2gOZEIxmSpJUrV+r73/++XnjhBT3++ON64YUX9P3vf5+FqRBZoYOLRj/AuPnmm9Xb25u39Vdvb69uvvnmpIsGAACAGmG4NSRJ27dv17nnnpt33bnnnqvt27cnVCKUwrCw2svOO1+5cmX/1l833HAD89FRFuoqAACNhTPJkCRNnjxZTzzxRN51TzzxhCZPnpxQiVAKw8IaS+4Q9Nwh6Yifb88zdRUozLe6CgBZnEmGpGAf4D//8z/XoUOH+hfuGjZsmP72b/826aIBidmwYUPB/bGl8vdJzm0Y+bC9VZr5tI0YUK2BDUcfRiPENTqCugrAV5xJhiTpySef1L59+9TT0yNJ6unp0b59+/Tkk08mXDJ/zJkzRy0tLZoxY4ZaWlo0Z86cpIuEGlu5cqWmT5+uuXPnatasWZo7d66mT5+e6Fx9zkgDzSV3jQdfRiP4Vh4AiBuNZEiSbr31VknSxRdfrHvvvVcXX3xx3vXNbs6cOXr00Ue1aNEiPfDAA1q0aJEeffRRGsop98wzz+iBBx7QDTfcoI0bN+qGG27QAw88oGeeeSaxMvl4wAwAAJAmNJLRb968ebrvvvt0/PHH67777tO8efOSLpI3HnvsMS1evFjf+MY3NHLkSH3jG9/Q4sWL9dhjjyVdNNTYwoUL9fGPf1zDhg3Txz/+cS1cuDDpIgFeSOO2b2hMjK5pTrwHoZa8n5NcaN6LVP7cl1rk5GY1eo4kvfWtb6LdxdoAABlRSURBVD3m54cffrjsnLjmKvmU45zTF7/4xbzrvvjFL2rNmjWJlCdOvpUnLnHUeeecNm7cqM2bN6u3t1ebN2/Wxo0bU/f8SMnXsThz4uJbeXwT13xS3z7n4+LbXGLfyhMn3+Y2+/aeWMucSrLiyvH5PSg3i5zCWb6/B3l/JjmuvVfjzql2qKNvOZL0mc98Rl/5yld06NAhfeUrX9FnPvOZinLiKo9POWamT3ziE3nXfeITn6iox9K3obK+lScucdT5trY2nXPOObrqqqs0Z84cXXXVVTrnnHPU1tZWo1LXT5zvHb7lxMW38qSVb5/zcfFtaoRv5Ukz394Ta5mTprpKG6G2OblZjfAe5P2ZZNTHtGnTtHXrVl1zzTVyzvU3/qZNm5Zwyfwwa9as/rPG8+bN05IlS7RmzRrNnj074ZKhlq688kqtXbtWN910k6ZMmaJnnnlG1113nRYtWpR00QAAAFAjNJIhSers7NQZZ5yhrVu3Sgp6eqZNm6bOzs6ES+aHTZs2ac6cOVq7dq3WrFkjM9Ps2bO1adOmpIuGGlq9erUk6frrr1d3d7fa2tq0aNGi/usBAACQPt4Pt0b9dHZ25g2BoIGcb9OmTerr69PmzZvV19dHA7lJrF69WocOHdLmzZt16NAhGsgAAAApRyMZAAAAAIAQjWQAAAAAAEI0kgEAAAAACNFIBgAAAAAgRCMZAAAAAIBQpEaymX3KzJ4zs5+aWfuA2xaY2X+a2TYzOyu8bqyZbTGz/zKzb8RfbAAAAAAA4leykWxmkyRdIuk0SZ+TdFPObcMlLZd0pqQOSV8Pb1om6X7n3JskjTezuTGXGwAAAACA2EU5kzxD0kbnXK+kjZLOzrntrZJ+4pzb75zbKukEMztO0vmSHgjv8wNJ58VXZAAAAAAAasOcc8XvYHatpB7n3N+EP/9K0hucc71m9i5J5zjnPhre9pSkv5T0UHh9l5nNkfSXzrnLBuQulLRQksaPH3/W9773vaLl2L9/v0aOHFnJY6xJTpxZ5JBDTvPkxJlFDjnk+J8TZxY55JDjf06cWeRUnzNjxoyfOef+uOxw51zRL0l/JeljOT//t6TW8PtLJd2Sc9tTkk6R9LSkMeF1cyR9p9jfOOuss1wpmzdvLnmfKOLKiTOLHHLIaZ6cOLPIIYcc/3PizCKHHHL8z4kzi5zqcyT9myvR3i30FWW49cuSTpAkM8sE7WrXO/C20DhJuwZcf6KkX5fdegcAAAAAoM6iNJJ/KOkCM2uVNE/Sv5jZl8xstqSfSDrTzEaa2XRJu5xz+yRtknRx+PuXhBkAAAAAAHgtU+oOzrlXzOxbkp6VdEDSRZK+LGmsc+6wmX1S0s8l9Ul6T/hrt0q6x8yWSHrMOfdITUoPAAAAAECMSjaSJck5d6uChm/Wu3Juu0fSPQPuf1AS2z4BAAAAABpKlOHWAAAAAAA0BRrJAAAAAACEaCQDAAAAABCyYPuohAthtkvSiyXudoKk3TH8ubhy4swihxxymicnzixyyCHH/5w4s8ghhxz/c+LMIqf6nEnOuXFlJ1eyuXISX6pwI+ha5fhYJnLIIcf/HB/LRA455NQux8cykUMOObXL8bFM5JT/xXBrAAAAAABCNJIBAAAAAAg1UiP5m57lxJlFDjnkNE9OnFnkkEOO/zlxZpFDDjn+58SZRU59co7hxcJdAAAAAAD4oJHOJAMAAAAAUFM0kgEAAAAACNFIzmFmlnuZtJzytCZdlriZWSa8TPw1GNf/3bfXj+RfmTwuD3WstmVJZR3zrTySf2WijtWtLNSxOvCtPBJ1rI5loY7VgU/lSfxFF4cYK89YSXJVTtQ2s/HhZbVvWGeE5emt5jGa2TQzG1FlWWRmf2hmE2PImSnpNjN7jXOur4qciWbWamZtVRZpTHjZEuZW+lyfEF62Vpnj42vat/JQx4rnUMeK8O31LPlXJupYyRzqWBEevp59K09c9UuijpXKoY4VRx0bRMM3ks3sfElXm9m4KnPmSvpHM/uqmb3DzIZUmHOBpHvN7BZJ54XXld0bYmbHSfpnM/uKJDnn+ip5AZrZHEn3SpqUc10l5Zkt6UEdfZOoSFieryl47f1BeF2lj+sBSaskLTKzoVWU5+/N7IuSrjGzcZU812Z2oaQHwv/7dZXmhFm+vaZ9Kw91rHR5qGOD53j1evaxTNSxSOWhjg2e49vr2bfyxFK/wt+jjpXOoY4NnkMdK6LhG8mS3iKpQ9IsMzuxkgAzO1PSaklfkPSCpJmSjqsg59ww59OS9kqaIx3tDSnzH3RI0mOS3hn+k5XtSYtamczsLZI2SFrgnHvGzIZnbyozxyS9TdIi59xWMxttZi0W9sqVkXOBpBskLZH0I0mX5T6uqMysXdKNkj4m6WFJb5DUk3N71PK8UcEb542S7lTwP/+amZ0QvmlF+n+Z2eskfV7Scknfk5SR9HdmdlKFH1jevKZ9Kw91rGQOdaw0b17PPpaJOlYyhzpWmjevZ9/KE3P9kqhjxXLaRR0rVh7qWAlpaCSPkLRd0ixJF1fYi2GSPu2c26zgiZ0kaWFZAcHp/NdLuto590MFPXJvNLOPmNnlZnZ8OUMHwjeD70l6j6TTzOwmM3uzmU0q442iRdJ9knZbMPTlmxb0Nl5rZmOj5oTlPlHSZDObIOl+SbdI+tucyl30RRe+6b5b0l855/5JwRvyGyzoVSvXy5KekrRf0lZJb5S0wszONbPXlvGm9WtJT0p62jn375I2Szpe0hfMbHTU/5dz7r8l/R9Jvw8vvyTp5wqenxMqGCY0TNIzquA1nfO4WyStqOY1nYM6NjjqWHE+1jHf6pdEHSuGOlYcday0VNYviTpWAnWsAOpY9DrWkI1kMxtnZieFP37VOfdeBcMyzlUZ/5ww57Xhi/5xqf8NZ72kkTn3K3q6P/x7I51zGyQ9bmajJK2V9B86OlTkgxb0qA1aIcPyjM+56mRJM5xzF0i6QEGFmBDed9D/Xc7j+rGCYSbvU/BG8QtJ/xY+toUWzNEoVZ7s83yPgkrwcUl3SfqypJ2SbjKzYcVedBb0KvU65y53zv3IzDLOuYNh2V4X3qfkG1W2PM657vBvv0/Bh8PvwuflIgW9e8NLlCebc0BBT94CM5suaW74/PxW4fCeEuUZlnP5oqQZkl7jnPu9gje/TkmXlfq/D8hqkbTGOfc+BR8uZb2mFbxxStKzkp4wM6v0NU0do44pJXXMt/oV3oc6Rh3bKerYQHyGlT5eoI4VQR0riToW4XWksCAN9SVpvoKelx9K+oqk8ZIsvO0tkr4t6XJJ4yPmPK6gEo/LuW2GpEfC79+rYGiEFcn5RZizKpsj6Yyc+7xb0pfKeFxflfSa8LEtlNSuYOjBzyV9rYzHdYOk0xQMWbk05z5zyyzPTZKmS/oHBT2DZ4X3OUFBb0+mRE72+blFQS9jS3jb2ZL+M/e5ivi4PifpFEltkv5G0ufD+4yT9HVJwyLk/EjSJyW9XdLfho/jB5KGhhmfKFGe/6Fg+M4fhD+/UcGHwzWSxoTXnS9pVYTHls36/8KfW3Nu++MyXtMDy2Q5t51X5muaOkYdS0Udk2f1izpGHRN1rKZ1TCmtX9Qx6pioYzWvY3m55dw56S9Jw8MX57nhi/47YaU8I6cynSXpbknvz14XMefm7JMZvoi/IeliST+TdFoZOV+WNGXA/T6gYMjI8EL/4CKPa6aCnp7fS/qz8L4PSTo5Ynn+XtJfS/qjAfd7v4729kUpzz9Iuk5B79sDkq5WUNHeq6A3bUyZ/69pOf+vJZI+Mtj/qkDOsPBxfUnBm/pfKHgDawsf108kjY2Y8w8KKt1bFPQyZcv0vyUtLfFavEzSPytYoGJKeN2pCuarXKfgzeaDkv5JQU9YsQPm3KzTwutadfQNp+RrulhOeHmKgjf0Sl7T1DHqWMPWMXlUv6hj1DFRx/gMq6B+UceoY6KO1byODfxqtOHWTtIQSa91wTCKJeHP71O4pLpz7mcKJsY/7gYf318oJyPpfRbMv3hB0jwFvVAfcM49W0ZOi4LT+ePMbJiZfUTStQp6sA668D8VIadNwQvuSklzXDC2XpLe4Zx7OWJ5FinoZewIy9NqZh+UdL2kTzrnDkQsz4cVDFGZrGBCvRRM0H+XpMucc11lPD9DFFSa7BL4+yWdqeJD/3NzDoWPK6Pgjff/KqiMX1cwvOeDzrnfRMz5sKSTFPQuZeenzFHwxv54oYCcIRpvkPR3CuY73GJmU5xzOxT0Du6V9A5JfylpmXNuf6HneZCs1WZ2mnOuV1JLOAym6Gs6Qo7C5+kCSZ9V+a9p6tjgOdSx4jmJ1TFP69fA54g6VjqHOlY8hzo2+POTpvo1WBZ1rHAOday8HIk6ViA5Qkvapy8Fk8I3K5h/IQU9L9+V9JWYcr4a/vz3kk6tIufL4c+3SJpcQc4oBT1NX8y5T8mejyLlWRX+vFDhMIsKyvOPkj6bc5+RVZTnb3LuU3Q4RpHyfF/hUBcF2w2cWO3rR8Eb4esj5LxOUlv4/VJJj+poL2Em6vNTJCvbw5eJ8n+PkPMaBb2h1bymqWPUsYarY77VL+oYdYw6Vts6ltb6RR2jjlHHal/H8nLL/YUkvnT09H12WMH7FZzGnxn+fJyC+Q+jY8h5MPx+SEw5xeZgRMm5T9KoGB7XA2FFKjYMI2rO8TH9vwoOvSkjZ4SCISNx/N/vL/d5zrneFPRcPSzp9Nzrq8yaUqw8ZeRMjfCatgGXldaxKDlR6lg5OcXqWJScKHUsSk6UOhY1p1Qdi/r/KlXHSuVErWNRy1PW81xpHYuYE6V+RckpWb+oY9SxIjnUsZjqWBz1K2JOyfpVZs6g9auMrJJ1LGJOyTpWRk7ROlbG/6xoHYuQE6mOlVGeSM9zodxy6ljEnJJ1LGJO0x4nFvvKyGNmdqJz7tcuPFXvwkeqoFeoW9Knzew1ksYq6B3pjSHnJDMbKelAHDnOuf1V5kyQVHCoQpk5JytYpKDa8pysnH3mqsh5naTDMeScpHj+769TGc9zOLzF5fy8RsHclc+b2budcz05f6/SrC+Y2bslHRmYVWbO58zsPZKOFCjPcc653xcoa7l1rJycYnWs7JxBXtPl5BSrY+XkFKtj5eYMVsfK/X8NVsfKep4Vz/+9WB07JsfMWga8vkvWsTJzitWvcnIGrV/h741yzu2LoY6Vk1OsjpWdM8hrupycYnWsnJxidazcnMHqWLn/r8HqWFnPs+L5vxerY8fkVFjHyskpVsfKySlax8LfNRcq8fwUfJ7LzBm0flWSU+j1XEHWoHWszJxB61gFOQXrWJk5g9axMnMGrWMVlCfS8zzw+6h1rMycQetYmTmRjxMrrWNl5kQ+Toyjjg3GBnlOE2dm8xRMin9Z0q3OuZ9asBz8ETM7S9JoBU/GBxT8g7/mguXDySGn1jmtzrleM3uLgoUfNuXcf4wbZN5NXFkx5lwo6RIFb/jflbTDBfv4ycz+WMEwpSjPETnk1Conrtdz3XPC2y4OH/8hBat9Pu3CeYJlPkfkkFOrnP+h4ExdlLrhW84cBav9fj38uUUKto8p83Peqxwfy0RORTnOOefK/PzxLecdkt6pYHTBx5xzu8xsqHPucJnPj1c5kbkKT9PX8kvBMvbbJZ2jYKL1P+josNLpkrZJuiDn/oMNByKHnFrlnBHmzIrhNR05K8acN0r6LwVbK1yhYAuI6xXMSTk1zJkT4Tkih5xa5fyBpK0xvJ7rnhNmTZT0vKQ/UbCAzBckfUrB1ianKPr7EDnk1CrnjYr+meFVTpi1UkFn1vsGXP+HCupqyfcgH3N8LBM5FedMD3P+rMrXdN1zFGwt9YKCVaNXKxhKnT25Gvn58S2nnK+qfrlWX5JeL2lt+H12f7WPKvhgWKRwmfpSTwA55NQjJ87XdB1z2iV9K+fnhQqW0P+wgpUg/zTic0QOOTXPiev1XK+c8HdHSvp6zs//U8E2K59WMA/s7IjPETnk1DwnrtdzvXLC312uYAXd7ZIW51z/Tkn/M8rz42OOj2Uip/qcuP7vtc7JPl4FK0tfnnP9HQpWBZeCLbX+JPx+sC2evMqp5CuWkNgKE27srWCT7h9I+pqkTkkbJa1XsN/ZR8L7tJJDjs85PpYpJ6dNwb6F3wh/vkHB3nJrFSyjLxXvNSWHHHIKZ43J+f7bCqZEZH/+EwUHLudGqKvkkENOgRwdPWieHl6eomCf4CWD/Z7vOT6WiZymzRmb8/3JOroK97WSlhe4/2Bnfr3KqeQrlpBYChIMH71J4YpvChoDrw2vWxxe9w5J68khx/ccH8tUIGekpH9VcMDyUHjdtxRulUAOOeREzwnvN0/S/5G0SsFw7SGSfqz8BsFHJf0dOeSQU1XORwbcdpqk/5C0qMx6mniOj2UihxxJHx1w25/p6JZKlyrY37lgh5ZvOZV++bS69bmS3izpUgtWONwqaY+Z7VUw11IKDl4mmdnxzrm95JDjcY6PZcrNyTjnfmlmf6pgcYPu8D7PSfpVkcdEDjnkFGBmZ0q6UcEwt4OS3iPpnyWdL+lfzOxvJH1S0u8ktZlZm3OumxxyyKko551mdrZz7ikzG+Kce9aCBcGeMLPDzrnbBmb4mONjmcghJ8yZn80J73JE0lALVtP+jKQ/d84ds5K1bznVaIkzrEoTJe2UtFfSu8zs9PD6r0mabWbfVTBn5X+XaJiQQ44POT6WKTfnnWY2zTl3xDm33znXY2YzJXUo6OGP+rjIIYecQLeClTQflvRTSfsULKx0QEFDfJSCD/KPK+j9PqYhQA455ETOOaiwkzispxnn3A4FI0P+aZAMH3N8LBM55PxUwerzZ+TcvkPSRZKWSnqnc+4/GySnci7G09Llfik4OJkQfj8ivDxd0l8pmJ+SHVPfpmC4wInkkONrjo9lipAzJbzOFBywTCKHHHKi5RTIGp5z/Z9JuqPA/V9DDjnk1CZnsC/fcnwsEznkFMuR1CrpEUlnNEJOHF+JDbc2s/+l4BR6j5ltlPSUpM3OuafNrFXSbEmXWDC89OcKJp6TQ46XOT6WKWLOu8zsHudcp6QnyCGHnGg5OVmfkHTYzB5UcLZ5S3jz7xV82MvMrpT0eufcpxUMKyWHHHLiy1kQ5vz1wAwfc3wsEznklMj5sKQ259wFjZATl7oPt7bAcAVL/X9B0rsVnEKfZ2Z/IUnhgckjknolzTWzoeSQ42OOj2WqIOcd5JBDTrScAlmfD7N6JF1oZpeEd/uppJ+F2R+SdGf4Nxw55JATa85CSXdrAN9yfCwTOeREzLlCRxur3ubEztXoFPVgX5JGhpd/Lelt4fcTJC1QsI3Nn+bc983KWfqbHHJ8y/GxTOSQQ07idf5PFKzgu0fSf0qaTA455DR3jo9lIoecNOXE/VXzPzDgSZgn6XEFQ92eULCsd3bc+cTw+mvIIacRcnwsEznkkONFnV8e/nyDpD8ghxxymjvHxzKRQ06acmrxVZc/Ej6wt0jaKumdki5WsJrhPyroEXh9zpPxI0njyCHH5xwfy0QOOeR4VedHSBpCDjnkNHeOj2Uih5w05dTqK6P6aZH0defcXWZ2ooJVyr4k6Y8kPWBm10qaLGmognHo5JDjc46PZSKHHHJql1NOVpuCD/MD5JBDTtPn+FgmcshJU05t1Ks1Hj4Rr8n5+TJJa8Lv/5ekxZL+XtIfkkOO7zk+lokccsihzpNDDjl+5fhYJnLISVNOrb7qdibZOdcn6bc5V70s6XXh98MlHXTOvY8cchohx8cykUMOObXL8bFM5JBDjv85PpaJHHLSlFMrdd8CKsfPJP3Cgj2xrpb07+SQ08A5PpaJHHLIqV2Oj2Uihxxy/M/xsUzkkJOmnHjU65T1wC9JJ0o6KGm7qljKmxxyfMjxsUzkkENO7XJ8LBM55JDjf46PZSKHnDTlxPWV3B8O9rv6mqRTySGn0XN8LBM55JBTuxwfy0QOOeT4n+NjmcghJ005cX1ZWKhEmNkQ51yp1UTJIachcnwsEznkkFO7HB/LRA455Pif42OZyCEnTTlxSLSRDAAAAACAT5JcuAsAAAAAAK/QSAYAAAAAIEQjGQAAAACAEI1kAAAAAABCNJIBAPCEmZ1nZnvN7FsV/v69ZrbfzKbGXTYAAJoFjWQAAPzyQ+fc5ZX8onPuEkn/FnN5AABoKjSSAQDwjJn9xMzeEH7/NjO7LzzLfLeZbTGz/zCzpWb2oJntMLPPJ11mAADSIpN0AQAAwDHulfQOSd+QNEfS/eH1Z0s6VdIbJf1C0mmSXpL0/5vZZ51zRxIoKwAAqcKZZAAA/HO3pIvC72dJejD8/mfOuf2SXpD0inPuOefcIUm/lvSa+hcTAID0oZEMAIBnnHM7JI0zs9dLMufcq+FN3Tl36xnwa1aXwgEAkHI0kgEA8NPDkj4dXgIAgDphTjIAAH66W9JTkt6WdEEAAGgmNJIBAPDTf0j6lXOuU5Kcc1skbQm/3y+pPXtH5xz7IgMAEBMayQAA+OOwpD82s29JekjSD8r5ZTO7V9IpOna+MgAAiMicc0mXAQAA5DCzuyRNlHSxc+7XSZcHAIBmQiMZAAAAAIAQq1sDAAAAABCikQwAAAAAQIhGMgAAAAAAIRrJAAAAAACEaCQDAAAAABCikQwAAAAAQOj/AU23g7Y5/ZwoAAAAAElFTkSuQmCC\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "vol_df.loc[vol_df['ym']>='2018',['ym','vol_clip']].boxplot(by='ym',showmeans=True,rot=45)" ] }, { "cell_type": "code", "execution_count": 151, "metadata": { "editable": true }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 151, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "vol_df.loc[vol_df['ym']>='2018',['ym','ivol_clip']].boxplot(by='ym',showmeans=True,rot=45)" ] }, { "cell_type": "code", "execution_count": 152, "metadata": { "editable": true }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
volidiovol1mvol_clipivol_clip
count474098.000000450202.000000474098.000000450202.000000
mean0.0286400.0161970.0284070.016041
std0.0219000.0150880.0139000.009217
min0.0000010.0000150.0033360.002371
25%0.0184690.0094860.0184690.009486
50%0.0256400.0140140.0256400.014014
75%0.0354080.0205170.0354080.020517
max4.8745353.3384090.1151340.085371
\n", "
" ], "text/plain": [ " vol idiovol1m vol_clip ivol_clip\n", "count 474098.000000 450202.000000 474098.000000 450202.000000\n", "mean 0.028640 0.016197 0.028407 0.016041\n", "std 0.021900 0.015088 0.013900 0.009217\n", "min 0.000001 0.000015 0.003336 0.002371\n", "25% 0.018469 0.009486 0.018469 0.009486\n", "50% 0.025640 0.014014 0.025640 0.014014\n", "75% 0.035408 0.020517 0.035408 0.020517\n", "max 4.874535 3.338409 0.115134 0.085371" ] }, "execution_count": 152, "metadata": {}, "output_type": "execute_result" } ], "source": [ "vol_df.loc[:,'vol':'ivol_clip'].describe()" ] }, { "cell_type": "code", "execution_count": 153, "metadata": { "editable": true }, "outputs": [], "source": [ "vol_df.rename(columns={'idiovol1m':'ivol'},inplace=True)" ] }, { "cell_type": "markdown", "metadata": { "editable": true }, "source": [ "## Sorting and Factors" ] }, { "cell_type": "code", "execution_count": 154, "metadata": { "editable": true }, "outputs": [], "source": [ "ret_df = pd.merge(ret_df,vol_df,\n", " on=['secID','ym'])" ] }, { "cell_type": "code", "execution_count": 155, "metadata": { "editable": true }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
secIDret_dateretrfexretymmktcapsizerevbetabmilliqilliq_12mmom_datemomvolivolvol_clipivol_clip
0000001.XSHE2007-070.3164970.0024810.3140162007-064.266117e+1024.476555NaN0.46140.123739NaNNaNNaTNaNNaNNaNNaNNaN
1000001.XSHE2007-080.0488550.0024040.0464512007-075.616330e+1024.7515290.3140160.64230.0939920.000040NaN2007-06NaN0.042521NaN0.042521NaN
2000001.XSHE2007-090.0521050.0026210.0494842007-085.890714e+1024.7992280.0464510.77220.0970850.000020NaN2007-07NaN0.033926NaN0.033926NaN
3000001.XSHE2007-100.2018510.0030950.1987562007-096.197651e+1024.8500210.0494840.75960.0922760.000025NaN2007-08NaN0.023872NaN0.023872NaN
4000001.XSHE2007-11-0.2491160.003780-0.2528962007-107.448652e+1025.0338840.1987560.79880.0834110.000030NaN2007-09NaN0.035921NaN0.035921NaN
5000001.XSHE2007-120.0698450.0030110.0668342007-115.593078e+1024.747381-0.2528960.95600.1110840.000048NaN2007-10NaN0.033184NaN0.033184NaN
6000001.XSHE2008-01-0.1373060.002949-0.1402552007-126.574629e+1024.9090690.0668340.94680.0944760.000025NaN2007-11NaN0.027254NaN0.027254NaN
7000001.XSHE2008-02-0.0045040.002946-0.0074502008-015.850212e+1024.792329-0.1402550.96540.1095130.000039NaN2007-12NaN0.0377220.0132660.0377220.013266
............................................................
504872900957.XSHG2021-090.0898690.0020330.0878372021-081.116880e+0818.531220-0.060402NaNNaN0.0673210.0718302021-070.1839710.0122680.0083340.0122680.008334
504873900957.XSHG2021-10-0.0404800.001998-0.0424782021-091.218080e+0818.6179570.087837NaNNaN0.0450220.0701972021-080.1860470.0223510.0165550.0223510.016555
504874900957.XSHG2021-11-0.0406250.001963-0.0425882021-101.168400e+0818.576316-0.042478NaNNaN0.0584570.0676462021-090.2851640.0116630.0077000.0116630.007700
504875900957.XSHG2021-120.0358310.0020260.0338052021-111.120560e+0818.534509-0.042588NaNNaN0.0700560.0628842021-100.2167300.0096390.0070460.0096390.007046
504876900957.XSHG2022-01-0.0220130.002014-0.0240272021-121.161040e+0818.5699970.033805NaNNaN0.0780370.0596722021-110.2110450.0109610.0086920.0109610.008692
504877900957.XSHG2022-02-0.0112540.001921-0.0131752022-011.135280e+0818.547560-0.024027NaNNaN0.0445150.0585022021-12-0.0591720.0105590.0084090.0105590.008409
504878900957.XSHG2022-03-0.0341460.001919-0.0360662022-021.122400e+0818.536150-0.013175NaNNaN0.0572180.0602082022-01-0.1571820.0065170.0041950.0065170.004195
504879900957.XSHGNaTNaNNaNNaN2022-031.083760e+0818.501117-0.036066NaNNaNNaN0.0624422022-02-0.117647NaNNaNNaNNaN
\n", "

504880 rows × 19 columns

\n", "
" ], "text/plain": [ " secID ret_date ret rf exret ym \\\n", "0 000001.XSHE 2007-07 0.316497 0.002481 0.314016 2007-06 \n", "1 000001.XSHE 2007-08 0.048855 0.002404 0.046451 2007-07 \n", "2 000001.XSHE 2007-09 0.052105 0.002621 0.049484 2007-08 \n", "3 000001.XSHE 2007-10 0.201851 0.003095 0.198756 2007-09 \n", "4 000001.XSHE 2007-11 -0.249116 0.003780 -0.252896 2007-10 \n", "5 000001.XSHE 2007-12 0.069845 0.003011 0.066834 2007-11 \n", "6 000001.XSHE 2008-01 -0.137306 0.002949 -0.140255 2007-12 \n", "7 000001.XSHE 2008-02 -0.004504 0.002946 -0.007450 2008-01 \n", "... ... ... ... ... ... ... \n", "504872 900957.XSHG 2021-09 0.089869 0.002033 0.087837 2021-08 \n", "504873 900957.XSHG 2021-10 -0.040480 0.001998 -0.042478 2021-09 \n", "504874 900957.XSHG 2021-11 -0.040625 0.001963 -0.042588 2021-10 \n", "504875 900957.XSHG 2021-12 0.035831 0.002026 0.033805 2021-11 \n", "504876 900957.XSHG 2022-01 -0.022013 0.002014 -0.024027 2021-12 \n", "504877 900957.XSHG 2022-02 -0.011254 0.001921 -0.013175 2022-01 \n", "504878 900957.XSHG 2022-03 -0.034146 0.001919 -0.036066 2022-02 \n", "504879 900957.XSHG NaT NaN NaN NaN 2022-03 \n", "\n", " mktcap size rev beta bm illiq \\\n", "0 4.266117e+10 24.476555 NaN 0.4614 0.123739 NaN \n", "1 5.616330e+10 24.751529 0.314016 0.6423 0.093992 0.000040 \n", "2 5.890714e+10 24.799228 0.046451 0.7722 0.097085 0.000020 \n", "3 6.197651e+10 24.850021 0.049484 0.7596 0.092276 0.000025 \n", "4 7.448652e+10 25.033884 0.198756 0.7988 0.083411 0.000030 \n", "5 5.593078e+10 24.747381 -0.252896 0.9560 0.111084 0.000048 \n", "6 6.574629e+10 24.909069 0.066834 0.9468 0.094476 0.000025 \n", "7 5.850212e+10 24.792329 -0.140255 0.9654 0.109513 0.000039 \n", "... ... ... ... ... ... ... \n", "504872 1.116880e+08 18.531220 -0.060402 NaN NaN 0.067321 \n", "504873 1.218080e+08 18.617957 0.087837 NaN NaN 0.045022 \n", "504874 1.168400e+08 18.576316 -0.042478 NaN NaN 0.058457 \n", "504875 1.120560e+08 18.534509 -0.042588 NaN NaN 0.070056 \n", "504876 1.161040e+08 18.569997 0.033805 NaN NaN 0.078037 \n", "504877 1.135280e+08 18.547560 -0.024027 NaN NaN 0.044515 \n", "504878 1.122400e+08 18.536150 -0.013175 NaN NaN 0.057218 \n", "504879 1.083760e+08 18.501117 -0.036066 NaN NaN NaN \n", "\n", " illiq_12m mom_date mom vol ivol vol_clip ivol_clip \n", "0 NaN NaT NaN NaN NaN NaN NaN \n", "1 NaN 2007-06 NaN 0.042521 NaN 0.042521 NaN \n", "2 NaN 2007-07 NaN 0.033926 NaN 0.033926 NaN \n", "3 NaN 2007-08 NaN 0.023872 NaN 0.023872 NaN \n", "4 NaN 2007-09 NaN 0.035921 NaN 0.035921 NaN \n", "5 NaN 2007-10 NaN 0.033184 NaN 0.033184 NaN \n", "6 NaN 2007-11 NaN 0.027254 NaN 0.027254 NaN \n", "7 NaN 2007-12 NaN 0.037722 0.013266 0.037722 0.013266 \n", "... ... ... ... ... ... ... ... \n", "504872 0.071830 2021-07 0.183971 0.012268 0.008334 0.012268 0.008334 \n", "504873 0.070197 2021-08 0.186047 0.022351 0.016555 0.022351 0.016555 \n", "504874 0.067646 2021-09 0.285164 0.011663 0.007700 0.011663 0.007700 \n", "504875 0.062884 2021-10 0.216730 0.009639 0.007046 0.009639 0.007046 \n", "504876 0.059672 2021-11 0.211045 0.010961 0.008692 0.010961 0.008692 \n", "504877 0.058502 2021-12 -0.059172 0.010559 0.008409 0.010559 0.008409 \n", "504878 0.060208 2022-01 -0.157182 0.006517 0.004195 0.006517 0.004195 \n", "504879 0.062442 2022-02 -0.117647 NaN NaN NaN NaN \n", "\n", "[504880 rows x 19 columns]" ] }, "execution_count": 155, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ret_df" ] }, { "cell_type": "code", "execution_count": 156, "metadata": { "editable": true }, "outputs": [], "source": [ "def single_sort(df, sort):\n", " q = dict()\n", " keys = ['q'+str(i) for i in range(1, 10)]\n", " values = np.arange(0.1, 1.0, 0.1)\n", " q.update(zip(keys,values))\n", "\n", " quantile_df = pd.DataFrame()\n", " for key, value in q.items():\n", " quantile_df[key] = df.groupby(['ym'])[sort].quantile(value)\n", "\n", " df_q = pd.merge(df, quantile_df, on='ym')\n", "\n", " portfolios = dict()\n", " drop_cols = [col for col in df_q.columns if col[0]=='q']\n", "\n", " portfolios['p1'] = df_q.loc[df_q[sort] <= df_q['q1']].copy().drop(drop_cols, axis=1)\n", " for i in range(2,10):\n", " idx = (df_q[f'q{i-1}'] <= df_q[sort]) & (df_q[sort] <= df_q[f'q{i}'])\n", " portfolios[f'p{i}'] = df_q.loc[idx].copy().drop(drop_cols, axis=1)\n", " portfolios['p10'] = df_q.loc[df_q[sort] >= df_q['q9']].copy().drop(drop_cols, axis=1)\n", "\n", " portfolios_crs_mean = dict()\n", " for k in portfolios.keys():\n", " portfolios_crs_mean[k] = portfolios[k].groupby(['ret_date'])['exret'].mean()\n", "\n", " mean_values = {}\n", " t_values = {}\n", " for k in portfolios_crs_mean.keys():\n", " y = portfolios_crs_mean[k]\n", " const = np.full(shape=len(y),fill_value=1)\n", " reg = sm.OLS(y, const).fit().get_robustcov_results(cov_type='HAC', maxlags=6)\n", " mean_values[k] = reg.params[0]\n", " t_values[k] = reg.tvalues[0]\n", " # Portfolio 10-1\n", " y = portfolios_crs_mean['p10'] - portfolios_crs_mean['p1']\n", " const = np.full(shape=len(y), fill_value=1)\n", " reg = sm.OLS(y, const).fit().get_robustcov_results(cov_type='HAC', maxlags=6)\n", " mean_values['p10-p1'] = reg.params[0]\n", " t_values['p10-p1'] = reg.tvalues[0]\n", "\n", " display(pd.DataFrame([mean_values.values(),t_values.values()],index=['mean','t-value'],\n", " columns=mean_values.keys()))" ] }, { "cell_type": "markdown", "metadata": { "editable": true }, "source": [ "### Raw volatility" ] }, { "cell_type": "code", "execution_count": 157, "metadata": { "editable": true }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
p1p2p3p4p5p6p7p8p9p10p10-p1
mean0.0073370.0112870.0138140.0140530.0140170.0138510.0115870.0106450.006654-0.000991-0.008328
t-value1.0562331.5693621.8131141.8690541.8169301.8224671.5028841.3388010.838907-0.125213-2.600835
\n", "
" ], "text/plain": [ " p1 p2 p3 p4 p5 p6 p7 \\\n", "mean 0.007337 0.011287 0.013814 0.014053 0.014017 0.013851 0.011587 \n", "t-value 1.056233 1.569362 1.813114 1.869054 1.816930 1.822467 1.502884 \n", "\n", " p8 p9 p10 p10-p1 \n", "mean 0.010645 0.006654 -0.000991 -0.008328 \n", "t-value 1.338801 0.838907 -0.125213 -2.600835 " ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "single_sort(ret_df, 'vol')" ] }, { "cell_type": "code", "execution_count": 158, "metadata": { "editable": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(180,)\n", "(180,)\n", "(180,)\n", "(180,)\n", "(180,)\n", "(180,)\n" ] }, { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
vol1_size1vol1_size2vol2_size1vol2_size2vol3_size1vol3_size2
ret_mean0.0147030.0075170.0176100.0088210.0090580.001977
t_values1.9213851.0941632.2596631.1626781.1087060.253048
\n", "
" ], "text/plain": [ " vol1_size1 vol1_size2 vol2_size1 vol2_size2 vol3_size1 \\\n", "ret_mean 0.014703 0.007517 0.017610 0.008821 0.009058 \n", "t_values 1.921385 1.094163 2.259663 1.162678 1.108706 \n", "\n", " vol3_size2 \n", "ret_mean 0.001977 \n", "t_values 0.253048 " ] }, "execution_count": 158, "metadata": {}, "output_type": "execute_result" } ], "source": [ "portfolios = double_sort(ret_df, sort1='vol')\n", "\n", "mean_portfolios_ret = dict()\n", "for pf in portfolios.keys():\n", " mean_portfolios_ret[pf] = portfolios[pf].groupby('ret_date')['exret'].mean()\n", " print(mean_portfolios_ret[pf].shape) # print 看一下会不会存在某个月份上没有vol和size分组没有任何交叉\n", "\n", "# Fast merge by stacking\n", "mean_portfolios_ret_df = pd.DataFrame(np.vstack([pf for pf in mean_portfolios_ret.values()])).T\n", "mean_portfolios_ret_df.columns = mean_portfolios_ret.keys()\n", "mean_portfolios_ret_df.index = mean_portfolios_ret['vol1_size1'].index\n", "\n", "# Newey-West adjustment\n", "mean_values = {}\n", "t_values = {}\n", "for k in mean_portfolios_ret.keys():\n", " y = mean_portfolios_ret[k]\n", " const = np.full(shape=len(y),fill_value=1)\n", " reg = sm.OLS(y, const).fit().get_robustcov_results(cov_type='HAC', maxlags=4)\n", " mean_values[k] = reg.params[0]\n", " t_values[k] = reg.tvalues[0]\n", "\n", "pd.DataFrame([mean_values.values(),t_values.values()],index=['ret_mean','t_values'],columns=mean_values.keys())" ] }, { "cell_type": "code", "execution_count": 159, "metadata": { "editable": true }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
interceptbetasizebmmomrevilliqvol
ret_mean0.0314830.003531-0.0014110.0038090.001118-0.03544819.502446-0.299493
t_values0.9729140.790855-1.0816780.8779970.397948-3.5696414.616724-3.015234
\n", "
" ], "text/plain": [ " intercept beta size bm mom rev \\\n", "ret_mean 0.031483 0.003531 -0.001411 0.003809 0.001118 -0.035448 \n", "t_values 0.972914 0.790855 -1.081678 0.877997 0.397948 -3.569641 \n", "\n", " illiq vol \n", "ret_mean 19.502446 -0.299493 \n", "t_values 4.616724 -3.015234 " ] }, "execution_count": 159, "metadata": {}, "output_type": "execute_result" } ], "source": [ "cols = ['beta','size','bm','mom','rev','illiq','vol']\n", "temp = ret_df.groupby('ret_date').apply(fm_reg, cols=cols)\n", "reg_result_df = pd.DataFrame(temp.values.tolist())\n", "reg_result_df.index=temp.index\n", "reg_result_df.columns = ['intercept'] + cols\n", "reg_result_df.dropna(inplace=True)\n", "# Mean of coefs with NW adjustment\n", "mean_values = {}\n", "t_values = {}\n", "for k in reg_result_df.columns:\n", " y = reg_result_df[k]\n", " const = np.full(shape=len(y),fill_value=1)\n", " reg = sm.OLS(y, const).fit().get_robustcov_results(cov_type='HAC', maxlags=6)\n", " mean_values[k] = reg.params[0]\n", " t_values[k] = reg.tvalues[0]\n", "pd.DataFrame([mean_values.values(),t_values.values()],index=['ret_mean','t_values'],columns=mean_values.keys())" ] }, { "cell_type": "code", "execution_count": 160, "metadata": { "editable": true }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
interceptbetasizebmmomrevilliqvol_clip
ret_mean0.0315000.003531-0.0014110.0038080.001119-0.03543919.501013-0.299633
t_values0.9733310.790949-1.0819590.8777540.398310-3.5684684.616183-3.016512
\n", "
" ], "text/plain": [ " intercept beta size bm mom rev \\\n", "ret_mean 0.031500 0.003531 -0.001411 0.003808 0.001119 -0.035439 \n", "t_values 0.973331 0.790949 -1.081959 0.877754 0.398310 -3.568468 \n", "\n", " illiq vol_clip \n", "ret_mean 19.501013 -0.299633 \n", "t_values 4.616183 -3.016512 " ] }, "execution_count": 160, "metadata": {}, "output_type": "execute_result" } ], "source": [ "cols = ['beta','size','bm','mom','rev','illiq','vol_clip']\n", "temp = ret_df.groupby('ret_date').apply(fm_reg, cols=cols)\n", "reg_result_df = pd.DataFrame(temp.values.tolist())\n", "reg_result_df.index=temp.index\n", "reg_result_df.columns = ['intercept'] + cols\n", "reg_result_df.dropna(inplace=True)\n", "# Mean of coefs with NW adjustment\n", "mean_values = {}\n", "t_values = {}\n", "for k in reg_result_df.columns:\n", " y = reg_result_df[k]\n", " const = np.full(shape=len(y),fill_value=1)\n", " reg = sm.OLS(y, const).fit().get_robustcov_results(cov_type='HAC', maxlags=6)\n", " mean_values[k] = reg.params[0]\n", " t_values[k] = reg.tvalues[0]\n", "pd.DataFrame([mean_values.values(),t_values.values()],index=['ret_mean','t_values'],columns=mean_values.keys())" ] }, { "cell_type": "markdown", "metadata": { "editable": true }, "source": [ "### Idiosyncratic volatility" ] }, { "cell_type": "code", "execution_count": 161, "metadata": { "editable": true }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
p1p2p3p4p5p6p7p8p9p10p10-p1
mean0.0106680.0119950.0124290.0111290.0104640.0096940.0073460.0049450.001674-0.006201-0.016869
t-value1.5387421.6132621.6177541.4900691.4040111.3052790.9787220.6641920.221387-0.793998-6.567733
\n", "
" ], "text/plain": [ " p1 p2 p3 p4 p5 p6 p7 \\\n", "mean 0.010668 0.011995 0.012429 0.011129 0.010464 0.009694 0.007346 \n", "t-value 1.538742 1.613262 1.617754 1.490069 1.404011 1.305279 0.978722 \n", "\n", " p8 p9 p10 p10-p1 \n", "mean 0.004945 0.001674 -0.006201 -0.016869 \n", "t-value 0.664192 0.221387 -0.793998 -6.567733 " ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "single_sort(ret_df, 'ivol')" ] }, { "cell_type": "code", "execution_count": 162, "metadata": { "editable": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(170,)\n", "(170,)\n", "(170,)\n", "(170,)\n", "(170,)\n", "(170,)\n" ] }, { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
ivol1_size1ivol1_size2ivol2_size1ivol2_size2ivol3_size1ivol3_size2
ret_mean0.0169510.0066780.0145720.0049410.002843-0.002479
t_values2.2050190.9444351.8303460.6793040.354149-0.331019
\n", "
" ], "text/plain": [ " ivol1_size1 ivol1_size2 ivol2_size1 ivol2_size2 ivol3_size1 \\\n", "ret_mean 0.016951 0.006678 0.014572 0.004941 0.002843 \n", "t_values 2.205019 0.944435 1.830346 0.679304 0.354149 \n", "\n", " ivol3_size2 \n", "ret_mean -0.002479 \n", "t_values -0.331019 " ] }, "execution_count": 162, "metadata": {}, "output_type": "execute_result" } ], "source": [ "portfolios = double_sort(ret_df, sort1='ivol')\n", "\n", "mean_portfolios_ret = dict()\n", "for pf in portfolios.keys():\n", " mean_portfolios_ret[pf] = portfolios[pf].groupby('ret_date')['exret'].mean()\n", " print(mean_portfolios_ret[pf].shape) # print 看一下会不会存在某个月份上没有vol和size分组没有任何交叉\n", "\n", "# Fast merge by stacking\n", "mean_portfolios_ret_df = pd.DataFrame(np.vstack([pf for pf in mean_portfolios_ret.values()])).T\n", "mean_portfolios_ret_df.columns = mean_portfolios_ret.keys()\n", "mean_portfolios_ret_df.index = mean_portfolios_ret['ivol1_size1'].index\n", "\n", "# Newey-West adjustment\n", "mean_values = {}\n", "t_values = {}\n", "for k in mean_portfolios_ret.keys():\n", " y = mean_portfolios_ret[k]\n", " const = np.full(shape=len(y),fill_value=1)\n", " reg = sm.OLS(y, const).fit().get_robustcov_results(cov_type='HAC', maxlags=4)\n", " mean_values[k] = reg.params[0]\n", " t_values[k] = reg.tvalues[0]\n", "\n", "pd.DataFrame([mean_values.values(),t_values.values()],index=['ret_mean','t_values'],columns=mean_values.keys())" ] }, { "cell_type": "code", "execution_count": 163, "metadata": { "editable": true }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
interceptbetasizebmmomrevilliqivol_clip
ret_mean0.0557810.001059-0.0021460.0010170.001587-0.02546417.950779-0.702537
t_values1.5743200.231355-1.5228840.2265750.548174-2.7783204.360190-10.197885
\n", "
" ], "text/plain": [ " intercept beta size bm mom rev \\\n", "ret_mean 0.055781 0.001059 -0.002146 0.001017 0.001587 -0.025464 \n", "t_values 1.574320 0.231355 -1.522884 0.226575 0.548174 -2.778320 \n", "\n", " illiq ivol_clip \n", "ret_mean 17.950779 -0.702537 \n", "t_values 4.360190 -10.197885 " ] }, "execution_count": 163, "metadata": {}, "output_type": "execute_result" } ], "source": [ "cols = ['beta','size','bm','mom','rev','illiq','ivol_clip']\n", "temp = ret_df.groupby('ret_date').apply(fm_reg, cols=cols)\n", "reg_result_df = pd.DataFrame(temp.values.tolist())\n", "reg_result_df.index=temp.index\n", "reg_result_df.columns = ['intercept'] + cols\n", "reg_result_df.dropna(inplace=True)\n", "# Mean of coefs with NW adjustment\n", "mean_values = {}\n", "t_values = {}\n", "for k in reg_result_df.columns:\n", " y = reg_result_df[k]\n", " const = np.full(shape=len(y),fill_value=1)\n", " reg = sm.OLS(y, const).fit().get_robustcov_results(cov_type='HAC', maxlags=6)\n", " mean_values[k] = reg.params[0]\n", " t_values[k] = reg.tvalues[0]\n", "pd.DataFrame([mean_values.values(),t_values.values()],index=['ret_mean','t_values'],columns=mean_values.keys())" ] }, { "cell_type": "code", "execution_count": 164, "metadata": { "editable": true }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
interceptbetasizebmmomrevilliqivol_clip
ret_mean0.055272-0.000577-0.001813-0.0011600.002554-0.02455321.185018-0.669158
t_values0.960013-0.153607-0.799253-0.2034540.873940-1.6694282.815058-7.027257
\n", "
" ], "text/plain": [ " intercept beta size bm mom rev \\\n", "ret_mean 0.055272 -0.000577 -0.001813 -0.001160 0.002554 -0.024553 \n", "t_values 0.960013 -0.153607 -0.799253 -0.203454 0.873940 -1.669428 \n", "\n", " illiq ivol_clip \n", "ret_mean 21.185018 -0.669158 \n", "t_values 2.815058 -7.027257 " ] }, "execution_count": 164, "metadata": {}, "output_type": "execute_result" } ], "source": [ "cols = ['beta','size','bm','mom','rev','illiq','ivol_clip']\n", "temp = ret_df[ret_df['ret_date']>='2015'].groupby('ret_date').apply(fm_reg, cols=cols)\n", "reg_result_df = pd.DataFrame(temp.values.tolist())\n", "reg_result_df.index=temp.index\n", "reg_result_df.columns = ['intercept'] + cols\n", "reg_result_df.dropna(inplace=True)\n", "# Mean of coefs with NW adjustment\n", "mean_values = {}\n", "t_values = {}\n", "for k in reg_result_df.columns:\n", " y = reg_result_df[k]\n", " const = np.full(shape=len(y),fill_value=1)\n", " reg = sm.OLS(y, const).fit().get_robustcov_results(cov_type='HAC', maxlags=6)\n", " mean_values[k] = reg.params[0]\n", " t_values[k] = reg.tvalues[0]\n", "pd.DataFrame([mean_values.values(),t_values.values()],index=['ret_mean','t_values'],columns=mean_values.keys())" ] }, { "cell_type": "code", "execution_count": 165, "metadata": { "editable": true }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
interceptbetasizebmmomrevilliqivol_clip
ret_mean0.0234250.004291-0.000744-0.0020970.005124-0.0094455.764173-0.588946
t_values0.4325461.043547-0.351152-0.3688131.478403-0.6329791.667127-6.459679
\n", "
" ], "text/plain": [ " intercept beta size bm mom rev \\\n", "ret_mean 0.023425 0.004291 -0.000744 -0.002097 0.005124 -0.009445 \n", "t_values 0.432546 1.043547 -0.351152 -0.368813 1.478403 -0.632979 \n", "\n", " illiq ivol_clip \n", "ret_mean 5.764173 -0.588946 \n", "t_values 1.667127 -6.459679 " ] }, "execution_count": 165, "metadata": {}, "output_type": "execute_result" } ], "source": [ "cols = ['beta','size','bm','mom','rev','illiq','ivol_clip']\n", "temp = ret_df[ret_df['ret_date']>='2018'].groupby('ret_date').apply(fm_reg, cols=cols)\n", "reg_result_df = pd.DataFrame(temp.values.tolist())\n", "reg_result_df.index=temp.index\n", "reg_result_df.columns = ['intercept'] + cols\n", "reg_result_df.dropna(inplace=True)\n", "# Mean of coefs with NW adjustment\n", "mean_values = {}\n", "t_values = {}\n", "for k in reg_result_df.columns:\n", " y = reg_result_df[k]\n", " const = np.full(shape=len(y),fill_value=1)\n", " reg = sm.OLS(y, const).fit().get_robustcov_results(cov_type='HAC', maxlags=6)\n", " mean_values[k] = reg.params[0]\n", " t_values[k] = reg.tvalues[0]\n", "pd.DataFrame([mean_values.values(),t_values.values()],index=['ret_mean','t_values'],columns=mean_values.keys())" ] }, { "cell_type": "code", "execution_count": 166, "metadata": { "editable": true }, "outputs": [], "source": [ "ivol_factor = factor(ret_df, sort1='ivol',long_high=False,long_only=False)" ] }, { "cell_type": "code", "execution_count": 167, "metadata": { "editable": true }, "outputs": [ { "data": { "text/plain": [ "ret_date\n", "2008-02 -0.018666\n", "2008-03 0.042088\n", "2008-04 0.001841\n", "2008-05 -0.020607\n", "2008-06 0.022669\n", "2008-07 0.004234\n", "2008-08 0.082000\n", "2008-09 -0.042538\n", " ... \n", "2021-08 0.002384\n", "2021-09 0.097063\n", "2021-10 0.006843\n", "2021-11 -0.030690\n", "2021-12 0.086668\n", "2022-01 0.078084\n", "2022-02 -0.014953\n", "2022-03 0.002251\n", "Freq: M, Name: ivol, Length: 170, dtype: float64" ] }, "execution_count": 167, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ivol_factor" ] }, { "cell_type": "code", "execution_count": 168, "metadata": { "editable": true }, "outputs": [], "source": [ "factors_df = pd.merge(factors_df,ivol_factor,on='ret_date',how='left')" ] }, { "cell_type": "code", "execution_count": 169, "metadata": { "editable": true }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 169, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "((factors_df+1).cumprod()*100).plot()" ] }, { "cell_type": "code", "execution_count": 170, "metadata": { "editable": true }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 170, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "((factors_df['2018':]+1).cumprod()*100).plot()" ] }, { "cell_type": "code", "execution_count": 171, "metadata": { "editable": true }, "outputs": [], "source": [ "factors_df.to_pickle('./data/factors/factors_all.pkl')" ] }, { "cell_type": "markdown", "metadata": { "editable": true }, "source": [ "## Output factor exposures" ] }, { "cell_type": "code", "execution_count": 172, "metadata": { "editable": true }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
secIDret_dateretrfexretymmktcapsizerevbetabmilliqilliq_12mmom_datemomvolivolvol_clipivol_clip
0000001.XSHE2007-070.3164970.0024810.3140162007-064.266117e+1024.476555NaN0.46140.123739NaNNaNNaTNaNNaNNaNNaNNaN
1000001.XSHE2007-080.0488550.0024040.0464512007-075.616330e+1024.7515290.3140160.64230.0939920.000040NaN2007-06NaN0.042521NaN0.042521NaN
2000001.XSHE2007-090.0521050.0026210.0494842007-085.890714e+1024.7992280.0464510.77220.0970850.000020NaN2007-07NaN0.033926NaN0.033926NaN
3000001.XSHE2007-100.2018510.0030950.1987562007-096.197651e+1024.8500210.0494840.75960.0922760.000025NaN2007-08NaN0.023872NaN0.023872NaN
4000001.XSHE2007-11-0.2491160.003780-0.2528962007-107.448652e+1025.0338840.1987560.79880.0834110.000030NaN2007-09NaN0.035921NaN0.035921NaN
5000001.XSHE2007-120.0698450.0030110.0668342007-115.593078e+1024.747381-0.2528960.95600.1110840.000048NaN2007-10NaN0.033184NaN0.033184NaN
6000001.XSHE2008-01-0.1373060.002949-0.1402552007-126.574629e+1024.9090690.0668340.94680.0944760.000025NaN2007-11NaN0.027254NaN0.027254NaN
7000001.XSHE2008-02-0.0045040.002946-0.0074502008-015.850212e+1024.792329-0.1402550.96540.1095130.000039NaN2007-12NaN0.0377220.0132660.0377220.013266
............................................................
504872900957.XSHG2021-090.0898690.0020330.0878372021-081.116880e+0818.531220-0.060402NaNNaN0.0673210.0718302021-070.1839710.0122680.0083340.0122680.008334
504873900957.XSHG2021-10-0.0404800.001998-0.0424782021-091.218080e+0818.6179570.087837NaNNaN0.0450220.0701972021-080.1860470.0223510.0165550.0223510.016555
504874900957.XSHG2021-11-0.0406250.001963-0.0425882021-101.168400e+0818.576316-0.042478NaNNaN0.0584570.0676462021-090.2851640.0116630.0077000.0116630.007700
504875900957.XSHG2021-120.0358310.0020260.0338052021-111.120560e+0818.534509-0.042588NaNNaN0.0700560.0628842021-100.2167300.0096390.0070460.0096390.007046
504876900957.XSHG2022-01-0.0220130.002014-0.0240272021-121.161040e+0818.5699970.033805NaNNaN0.0780370.0596722021-110.2110450.0109610.0086920.0109610.008692
504877900957.XSHG2022-02-0.0112540.001921-0.0131752022-011.135280e+0818.547560-0.024027NaNNaN0.0445150.0585022021-12-0.0591720.0105590.0084090.0105590.008409
504878900957.XSHG2022-03-0.0341460.001919-0.0360662022-021.122400e+0818.536150-0.013175NaNNaN0.0572180.0602082022-01-0.1571820.0065170.0041950.0065170.004195
504879900957.XSHGNaTNaNNaNNaN2022-031.083760e+0818.501117-0.036066NaNNaNNaN0.0624422022-02-0.117647NaNNaNNaNNaN
\n", "

504880 rows × 19 columns

\n", "
" ], "text/plain": [ " secID ret_date ret rf exret ym \\\n", "0 000001.XSHE 2007-07 0.316497 0.002481 0.314016 2007-06 \n", "1 000001.XSHE 2007-08 0.048855 0.002404 0.046451 2007-07 \n", "2 000001.XSHE 2007-09 0.052105 0.002621 0.049484 2007-08 \n", "3 000001.XSHE 2007-10 0.201851 0.003095 0.198756 2007-09 \n", "4 000001.XSHE 2007-11 -0.249116 0.003780 -0.252896 2007-10 \n", "5 000001.XSHE 2007-12 0.069845 0.003011 0.066834 2007-11 \n", "6 000001.XSHE 2008-01 -0.137306 0.002949 -0.140255 2007-12 \n", "7 000001.XSHE 2008-02 -0.004504 0.002946 -0.007450 2008-01 \n", "... ... ... ... ... ... ... \n", "504872 900957.XSHG 2021-09 0.089869 0.002033 0.087837 2021-08 \n", "504873 900957.XSHG 2021-10 -0.040480 0.001998 -0.042478 2021-09 \n", "504874 900957.XSHG 2021-11 -0.040625 0.001963 -0.042588 2021-10 \n", "504875 900957.XSHG 2021-12 0.035831 0.002026 0.033805 2021-11 \n", "504876 900957.XSHG 2022-01 -0.022013 0.002014 -0.024027 2021-12 \n", "504877 900957.XSHG 2022-02 -0.011254 0.001921 -0.013175 2022-01 \n", "504878 900957.XSHG 2022-03 -0.034146 0.001919 -0.036066 2022-02 \n", "504879 900957.XSHG NaT NaN NaN NaN 2022-03 \n", "\n", " mktcap size rev beta bm illiq \\\n", "0 4.266117e+10 24.476555 NaN 0.4614 0.123739 NaN \n", "1 5.616330e+10 24.751529 0.314016 0.6423 0.093992 0.000040 \n", "2 5.890714e+10 24.799228 0.046451 0.7722 0.097085 0.000020 \n", "3 6.197651e+10 24.850021 0.049484 0.7596 0.092276 0.000025 \n", "4 7.448652e+10 25.033884 0.198756 0.7988 0.083411 0.000030 \n", "5 5.593078e+10 24.747381 -0.252896 0.9560 0.111084 0.000048 \n", "6 6.574629e+10 24.909069 0.066834 0.9468 0.094476 0.000025 \n", "7 5.850212e+10 24.792329 -0.140255 0.9654 0.109513 0.000039 \n", "... ... ... ... ... ... ... \n", "504872 1.116880e+08 18.531220 -0.060402 NaN NaN 0.067321 \n", "504873 1.218080e+08 18.617957 0.087837 NaN NaN 0.045022 \n", "504874 1.168400e+08 18.576316 -0.042478 NaN NaN 0.058457 \n", "504875 1.120560e+08 18.534509 -0.042588 NaN NaN 0.070056 \n", "504876 1.161040e+08 18.569997 0.033805 NaN NaN 0.078037 \n", "504877 1.135280e+08 18.547560 -0.024027 NaN NaN 0.044515 \n", "504878 1.122400e+08 18.536150 -0.013175 NaN NaN 0.057218 \n", "504879 1.083760e+08 18.501117 -0.036066 NaN NaN NaN \n", "\n", " illiq_12m mom_date mom vol ivol vol_clip ivol_clip \n", "0 NaN NaT NaN NaN NaN NaN NaN \n", "1 NaN 2007-06 NaN 0.042521 NaN 0.042521 NaN \n", "2 NaN 2007-07 NaN 0.033926 NaN 0.033926 NaN \n", "3 NaN 2007-08 NaN 0.023872 NaN 0.023872 NaN \n", "4 NaN 2007-09 NaN 0.035921 NaN 0.035921 NaN \n", "5 NaN 2007-10 NaN 0.033184 NaN 0.033184 NaN \n", "6 NaN 2007-11 NaN 0.027254 NaN 0.027254 NaN \n", "7 NaN 2007-12 NaN 0.037722 0.013266 0.037722 0.013266 \n", "... ... ... ... ... ... ... ... \n", "504872 0.071830 2021-07 0.183971 0.012268 0.008334 0.012268 0.008334 \n", "504873 0.070197 2021-08 0.186047 0.022351 0.016555 0.022351 0.016555 \n", "504874 0.067646 2021-09 0.285164 0.011663 0.007700 0.011663 0.007700 \n", "504875 0.062884 2021-10 0.216730 0.009639 0.007046 0.009639 0.007046 \n", "504876 0.059672 2021-11 0.211045 0.010961 0.008692 0.010961 0.008692 \n", "504877 0.058502 2021-12 -0.059172 0.010559 0.008409 0.010559 0.008409 \n", "504878 0.060208 2022-01 -0.157182 0.006517 0.004195 0.006517 0.004195 \n", "504879 0.062442 2022-02 -0.117647 NaN NaN NaN NaN \n", "\n", "[504880 rows x 19 columns]" ] }, "execution_count": 172, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ret_df" ] }, { "cell_type": "code", "execution_count": 173, "metadata": { "editable": true }, "outputs": [], "source": [ "ret_df.to_pickle('./data/factor_exposure/all_exposure.pkl')" ] }, { "cell_type": "code", "execution_count": 210, "metadata": { "editable": true }, "outputs": [], "source": [ "cols = ['size','bm','rev','illiq','ivol']" ] }, { "cell_type": "code", "execution_count": 211, "metadata": { "editable": true }, "outputs": [], "source": [ "monthend = stk_df[['secID','tradeDate','ym']].groupby(['secID','ym'],as_index=False).last()\n", "monthend.rename(columns={'tradeDate':'month_end'},inplace=True)" ] }, { "cell_type": "code", "execution_count": 212, "metadata": { "editable": true }, "outputs": [], "source": [ "ret_df = pd.merge(ret_df, monthend,on=['secID','ym'],how='left')" ] }, { "cell_type": "code", "execution_count": 213, "metadata": { "editable": true }, "outputs": [], "source": [ "ret_df['month_end'] = ret_df['ym'].dt.to_timestamp() + pd.tseries.offsets.MonthEnd(0)" ] }, { "cell_type": "code", "execution_count": 216, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
secID000001.XSHE000002.XSHE000004.XSHE000005.XSHE000006.XSHE000007.XSHE000008.XSHE000009.XSHE000010.XSHE000011.XSHE...900947.XSHG900948.XSHG900949.XSHG900950.XSHG900951.XSHG900952.XSHG900953.XSHG900955.XSHG900956.XSHG900957.XSHG
month_end
2007-03-31NaN0.123274NaNNaN0.1016480.318730.177471NaNNaNNaN...-0.014794-0.0998640.0171830.036083-0.0164180.021524-0.0995230.067198-0.121383-0.079664
2007-04-30NaN0.087689NaNNaN0.4185160.20470NaNNaNNaNNaN...0.1244240.6539100.3042240.3031300.1897220.2183390.0915150.2407080.1798400.169304
2007-05-31NaN0.618401NaNNaN0.327713NaNNaNNaNNaNNaN...0.0583440.2044210.2890890.8370550.7097460.2463920.5822870.4900100.9416140.439546
2007-06-30NaN-0.017483NaNNaN-0.065749NaNNaNNaNNaNNaN...0.0358700.094611-0.200566-0.301740-0.356243-0.223995-0.349127-0.181178-0.193852-0.321781
2007-07-310.3140160.477643NaNNaN0.282658NaNNaNNaNNaNNaN...0.1555340.7154710.2960520.4652180.3957000.2677410.4358960.1120730.3276740.351556
2007-08-310.0464510.191943NaNNaN-0.032089NaNNaNNaNNaNNaN...0.0008870.135793-0.097706-0.0624980.096426-0.023398-0.079410-0.005383-0.104684-0.049422
2007-09-300.049484-0.109130NaNNaN0.140694NaNNaNNaNNaNNaN...0.2828510.4635060.0433100.0713380.2530000.0631400.0902110.0377180.0474510.062361
2007-10-310.1987560.285979NaNNaN0.049019NaNNaNNaNNaNNaN...0.2389100.326724-0.048441-0.106393-0.184998-0.105710-0.1332020.070625-0.075658-0.131908
..................................................................
2021-08-310.0042780.011461-0.126543NaN0.022947NaN0.0912120.319409-0.0278610.050749...0.0839520.134951NaNNaNNaN-0.009404-0.043117NaNNaN-0.060402
2021-09-300.0052710.074230-0.016057NaN-0.010865NaN0.006921-0.317276-0.023310-0.008603...0.1113780.098060NaNNaNNaN0.0355610.043980NaNNaN0.087837
2021-10-310.085564-0.147470-0.117381NaN-0.073268NaN-0.0330980.0881990.068670-0.091171...-0.107150-0.003161NaNNaNNaN-0.0219260.030260NaNNaN-0.042478
2021-11-30-0.1076040.0007820.118943NaN-0.018748NaN-0.006551-0.154047-0.024813-0.047306...0.070066-0.087301NaNNaNNaN-0.001963-0.058782NaNNaN-0.042588
2021-12-31-0.0570720.0801210.029852NaN0.085778NaN0.352816-0.188151-0.0228060.105292...0.0050850.098836NaNNaNNaN0.0349430.052191NaNNaN0.033805
2022-01-31-0.0414560.0268320.072650NaN-0.040131NaN-0.134675-0.114278-0.110778-0.064625...-0.0582600.054166NaNNaNNaN-0.005579-0.039157NaNNaN-0.024027
2022-02-28-0.006974-0.0575040.031622NaN0.009733NaN0.0647420.0722380.084400-0.011986...-0.0241090.039295NaNNaNNaN0.1358250.001047NaNNaN-0.013175
2022-03-31-0.081919-0.163898-0.106228NaN-0.048001NaN-0.071770-0.158171-0.075889-0.063839...-0.028568-0.008166NaNNaNNaN-0.0883970.001039NaNNaN-0.036066
\n", "

181 rows × 4844 columns

\n", "
" ], "text/plain": [ "secID 000001.XSHE 000002.XSHE 000004.XSHE 000005.XSHE 000006.XSHE \\\n", "month_end \n", "2007-03-31 NaN 0.123274 NaN NaN 0.101648 \n", "2007-04-30 NaN 0.087689 NaN NaN 0.418516 \n", "2007-05-31 NaN 0.618401 NaN NaN 0.327713 \n", "2007-06-30 NaN -0.017483 NaN NaN -0.065749 \n", "2007-07-31 0.314016 0.477643 NaN NaN 0.282658 \n", "2007-08-31 0.046451 0.191943 NaN NaN -0.032089 \n", "2007-09-30 0.049484 -0.109130 NaN NaN 0.140694 \n", "2007-10-31 0.198756 0.285979 NaN NaN 0.049019 \n", "... ... ... ... ... ... \n", "2021-08-31 0.004278 0.011461 -0.126543 NaN 0.022947 \n", "2021-09-30 0.005271 0.074230 -0.016057 NaN -0.010865 \n", "2021-10-31 0.085564 -0.147470 -0.117381 NaN -0.073268 \n", "2021-11-30 -0.107604 0.000782 0.118943 NaN -0.018748 \n", "2021-12-31 -0.057072 0.080121 0.029852 NaN 0.085778 \n", "2022-01-31 -0.041456 0.026832 0.072650 NaN -0.040131 \n", "2022-02-28 -0.006974 -0.057504 0.031622 NaN 0.009733 \n", "2022-03-31 -0.081919 -0.163898 -0.106228 NaN -0.048001 \n", "\n", "secID 000007.XSHE 000008.XSHE 000009.XSHE 000010.XSHE 000011.XSHE \\\n", "month_end \n", "2007-03-31 0.31873 0.177471 NaN NaN NaN \n", "2007-04-30 0.20470 NaN NaN NaN NaN \n", "2007-05-31 NaN NaN NaN NaN NaN \n", "2007-06-30 NaN NaN NaN NaN NaN \n", "2007-07-31 NaN NaN NaN NaN NaN \n", "2007-08-31 NaN NaN NaN NaN NaN \n", "2007-09-30 NaN NaN NaN NaN NaN \n", "2007-10-31 NaN NaN NaN NaN NaN \n", "... ... ... ... ... ... \n", "2021-08-31 NaN 0.091212 0.319409 -0.027861 0.050749 \n", "2021-09-30 NaN 0.006921 -0.317276 -0.023310 -0.008603 \n", "2021-10-31 NaN -0.033098 0.088199 0.068670 -0.091171 \n", "2021-11-30 NaN -0.006551 -0.154047 -0.024813 -0.047306 \n", "2021-12-31 NaN 0.352816 -0.188151 -0.022806 0.105292 \n", "2022-01-31 NaN -0.134675 -0.114278 -0.110778 -0.064625 \n", "2022-02-28 NaN 0.064742 0.072238 0.084400 -0.011986 \n", "2022-03-31 NaN -0.071770 -0.158171 -0.075889 -0.063839 \n", "\n", "secID ... 900947.XSHG 900948.XSHG 900949.XSHG 900950.XSHG \\\n", "month_end ... \n", "2007-03-31 ... -0.014794 -0.099864 0.017183 0.036083 \n", "2007-04-30 ... 0.124424 0.653910 0.304224 0.303130 \n", "2007-05-31 ... 0.058344 0.204421 0.289089 0.837055 \n", "2007-06-30 ... 0.035870 0.094611 -0.200566 -0.301740 \n", "2007-07-31 ... 0.155534 0.715471 0.296052 0.465218 \n", "2007-08-31 ... 0.000887 0.135793 -0.097706 -0.062498 \n", "2007-09-30 ... 0.282851 0.463506 0.043310 0.071338 \n", "2007-10-31 ... 0.238910 0.326724 -0.048441 -0.106393 \n", "... ... ... ... ... ... \n", "2021-08-31 ... 0.083952 0.134951 NaN NaN \n", "2021-09-30 ... 0.111378 0.098060 NaN NaN \n", "2021-10-31 ... -0.107150 -0.003161 NaN NaN \n", "2021-11-30 ... 0.070066 -0.087301 NaN NaN \n", "2021-12-31 ... 0.005085 0.098836 NaN NaN \n", "2022-01-31 ... -0.058260 0.054166 NaN NaN \n", "2022-02-28 ... -0.024109 0.039295 NaN NaN \n", "2022-03-31 ... -0.028568 -0.008166 NaN NaN \n", "\n", "secID 900951.XSHG 900952.XSHG 900953.XSHG 900955.XSHG 900956.XSHG \\\n", "month_end \n", "2007-03-31 -0.016418 0.021524 -0.099523 0.067198 -0.121383 \n", "2007-04-30 0.189722 0.218339 0.091515 0.240708 0.179840 \n", "2007-05-31 0.709746 0.246392 0.582287 0.490010 0.941614 \n", "2007-06-30 -0.356243 -0.223995 -0.349127 -0.181178 -0.193852 \n", "2007-07-31 0.395700 0.267741 0.435896 0.112073 0.327674 \n", "2007-08-31 0.096426 -0.023398 -0.079410 -0.005383 -0.104684 \n", "2007-09-30 0.253000 0.063140 0.090211 0.037718 0.047451 \n", "2007-10-31 -0.184998 -0.105710 -0.133202 0.070625 -0.075658 \n", "... ... ... ... ... ... \n", "2021-08-31 NaN -0.009404 -0.043117 NaN NaN \n", "2021-09-30 NaN 0.035561 0.043980 NaN NaN \n", "2021-10-31 NaN -0.021926 0.030260 NaN NaN \n", "2021-11-30 NaN -0.001963 -0.058782 NaN NaN \n", "2021-12-31 NaN 0.034943 0.052191 NaN NaN \n", "2022-01-31 NaN -0.005579 -0.039157 NaN NaN \n", "2022-02-28 NaN 0.135825 0.001047 NaN NaN \n", "2022-03-31 NaN -0.088397 0.001039 NaN NaN \n", "\n", "secID 900957.XSHG \n", "month_end \n", "2007-03-31 -0.079664 \n", "2007-04-30 0.169304 \n", "2007-05-31 0.439546 \n", "2007-06-30 -0.321781 \n", "2007-07-31 0.351556 \n", "2007-08-31 -0.049422 \n", "2007-09-30 0.062361 \n", "2007-10-31 -0.131908 \n", "... ... \n", "2021-08-31 -0.060402 \n", "2021-09-30 0.087837 \n", "2021-10-31 -0.042478 \n", "2021-11-30 -0.042588 \n", "2021-12-31 0.033805 \n", "2022-01-31 -0.024027 \n", "2022-02-28 -0.013175 \n", "2022-03-31 -0.036066 \n", "\n", "[181 rows x 4844 columns]" ] }, "execution_count": 216, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ret_df[['secID','month_end','rev']].dropna().pivot(index='month_end',\n", " columns='secID',values='rev')" ] }, { "cell_type": "code", "execution_count": 226, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
secID000001.XSHE000002.XSHE000004.XSHE000005.XSHE000006.XSHE000007.XSHE000008.XSHE000009.XSHE000010.XSHE000011.XSHE...900947.XSHG900948.XSHG900949.XSHG900950.XSHG900951.XSHG900952.XSHG900953.XSHG900955.XSHG900956.XSHG900957.XSHG
month_end
2007/03/31NaN24.712034NaNNaN21.85882220.21617419.582993NaNNaNNaN...20.71454819.80463220.13155519.25270417.54601218.45609818.69649318.53970718.07917618.443459
2007/04/30NaN24.798040NaNNaN22.20993420.404169NaNNaNNaNNaN...20.83366220.30903120.39908619.51918417.72151518.65530218.78532418.75736718.24573218.601201
2007/05/31NaN25.274487NaNNaN22.482926NaNNaNNaNNaNNaN...20.89275520.49715520.65526520.12880418.25933818.87697619.24590819.15784518.91110018.967507
2007/06/3024.47655525.259434NaNNaN22.417635NaNNaNNaNNaNNaN...20.93047520.58229220.41047119.77327317.82284418.62700518.81972518.96067718.69846418.582595
2007/07/3124.75152925.651961NaNNaN22.668582NaNNaNNaNNaNNaN...21.06715321.12338920.67138320.15689418.15801618.86633119.18410019.06930118.98374818.885421
2007/08/3124.79922825.892469NaNNaN22.638445NaNNaNNaNNaNNaN...21.07042421.25282320.57133820.09499518.25226218.84469619.10377819.06642218.87598318.836862
2007/09/3024.85002125.779850NaNNaN22.772379NaNNaNNaNNaNNaN...21.32153121.63548220.61610420.16628718.47989318.90824719.19300919.10599718.92508618.900338
2007/10/3125.03388426.033773NaNNaN22.823179NaNNaNNaNNaNNaN...21.53826821.92052720.56973020.05734718.27911718.79996819.05280319.17713118.84937418.762567
..................................................................
2021/08/3126.56803425.98288221.529459NaN22.534089NaN22.51621424.99248221.39792622.582331...20.06119920.769951NaNNaNNaN17.77364718.144136NaNNaN18.531220
2021/09/3026.57531126.05637621.515334NaN22.525219NaN22.52514324.61378821.37641922.575747...20.16844520.865376NaNNaNNaN17.81122918.190513NaNNaN18.617957
2021/10/3126.65925025.89917121.392732NaN22.451283NaN22.49353724.70014721.44468722.482334...20.05741820.864224NaNNaNNaN17.79052518.220277NaNNaN18.576316
2021/11/3026.54760225.90191321.506869NaN22.434354NaN22.48893924.53517821.42158022.435944...20.12691620.775008NaNNaNNaN17.79052518.162946NaNNaN18.534509
2021/12/3126.49098325.98085921.538252NaN22.518515NaN22.79262224.32922921.40058222.537880...20.13395920.871120NaNNaNNaN17.82749018.214394NaNNaN18.569997
2022/01/3126.45074226.00929721.610261NaN22.479653NaN22.65030624.21014621.28544822.473227...20.07618120.925730NaNNaNNaN17.82345018.178354NaNNaN18.547560
2022/02/2826.44567625.95211021.643252NaN22.491241NaN22.71484424.28168621.36823422.463112...20.05362320.966118NaNNaNNaN17.95241618.181408NaNNaN18.536150
2022/03/3126.36228225.77539821.533089NaN22.444063NaN22.64243224.11178721.29138222.399189...20.02664720.959848NaNNaNNaN17.86313718.184452NaNNaN18.501117
\n", "

181 rows × 4853 columns

\n", "
" ], "text/plain": [ "secID 000001.XSHE 000002.XSHE 000004.XSHE 000005.XSHE 000006.XSHE \\\n", "month_end \n", "2007/03/31 NaN 24.712034 NaN NaN 21.858822 \n", "2007/04/30 NaN 24.798040 NaN NaN 22.209934 \n", "2007/05/31 NaN 25.274487 NaN NaN 22.482926 \n", "2007/06/30 24.476555 25.259434 NaN NaN 22.417635 \n", "2007/07/31 24.751529 25.651961 NaN NaN 22.668582 \n", "2007/08/31 24.799228 25.892469 NaN NaN 22.638445 \n", "2007/09/30 24.850021 25.779850 NaN NaN 22.772379 \n", "2007/10/31 25.033884 26.033773 NaN NaN 22.823179 \n", "... ... ... ... ... ... \n", "2021/08/31 26.568034 25.982882 21.529459 NaN 22.534089 \n", "2021/09/30 26.575311 26.056376 21.515334 NaN 22.525219 \n", "2021/10/31 26.659250 25.899171 21.392732 NaN 22.451283 \n", "2021/11/30 26.547602 25.901913 21.506869 NaN 22.434354 \n", "2021/12/31 26.490983 25.980859 21.538252 NaN 22.518515 \n", "2022/01/31 26.450742 26.009297 21.610261 NaN 22.479653 \n", "2022/02/28 26.445676 25.952110 21.643252 NaN 22.491241 \n", "2022/03/31 26.362282 25.775398 21.533089 NaN 22.444063 \n", "\n", "secID 000007.XSHE 000008.XSHE 000009.XSHE 000010.XSHE 000011.XSHE \\\n", "month_end \n", "2007/03/31 20.216174 19.582993 NaN NaN NaN \n", "2007/04/30 20.404169 NaN NaN NaN NaN \n", "2007/05/31 NaN NaN NaN NaN NaN \n", "2007/06/30 NaN NaN NaN NaN NaN \n", "2007/07/31 NaN NaN NaN NaN NaN \n", "2007/08/31 NaN NaN NaN NaN NaN \n", "2007/09/30 NaN NaN NaN NaN NaN \n", "2007/10/31 NaN NaN NaN NaN NaN \n", "... ... ... ... ... ... \n", "2021/08/31 NaN 22.516214 24.992482 21.397926 22.582331 \n", "2021/09/30 NaN 22.525143 24.613788 21.376419 22.575747 \n", "2021/10/31 NaN 22.493537 24.700147 21.444687 22.482334 \n", "2021/11/30 NaN 22.488939 24.535178 21.421580 22.435944 \n", "2021/12/31 NaN 22.792622 24.329229 21.400582 22.537880 \n", "2022/01/31 NaN 22.650306 24.210146 21.285448 22.473227 \n", "2022/02/28 NaN 22.714844 24.281686 21.368234 22.463112 \n", "2022/03/31 NaN 22.642432 24.111787 21.291382 22.399189 \n", "\n", "secID ... 900947.XSHG 900948.XSHG 900949.XSHG 900950.XSHG \\\n", "month_end ... \n", "2007/03/31 ... 20.714548 19.804632 20.131555 19.252704 \n", "2007/04/30 ... 20.833662 20.309031 20.399086 19.519184 \n", "2007/05/31 ... 20.892755 20.497155 20.655265 20.128804 \n", "2007/06/30 ... 20.930475 20.582292 20.410471 19.773273 \n", "2007/07/31 ... 21.067153 21.123389 20.671383 20.156894 \n", "2007/08/31 ... 21.070424 21.252823 20.571338 20.094995 \n", "2007/09/30 ... 21.321531 21.635482 20.616104 20.166287 \n", "2007/10/31 ... 21.538268 21.920527 20.569730 20.057347 \n", "... ... ... ... ... ... \n", "2021/08/31 ... 20.061199 20.769951 NaN NaN \n", "2021/09/30 ... 20.168445 20.865376 NaN NaN \n", "2021/10/31 ... 20.057418 20.864224 NaN NaN \n", "2021/11/30 ... 20.126916 20.775008 NaN NaN \n", "2021/12/31 ... 20.133959 20.871120 NaN NaN \n", "2022/01/31 ... 20.076181 20.925730 NaN NaN \n", "2022/02/28 ... 20.053623 20.966118 NaN NaN \n", "2022/03/31 ... 20.026647 20.959848 NaN NaN \n", "\n", "secID 900951.XSHG 900952.XSHG 900953.XSHG 900955.XSHG 900956.XSHG \\\n", "month_end \n", "2007/03/31 17.546012 18.456098 18.696493 18.539707 18.079176 \n", "2007/04/30 17.721515 18.655302 18.785324 18.757367 18.245732 \n", "2007/05/31 18.259338 18.876976 19.245908 19.157845 18.911100 \n", "2007/06/30 17.822844 18.627005 18.819725 18.960677 18.698464 \n", "2007/07/31 18.158016 18.866331 19.184100 19.069301 18.983748 \n", "2007/08/31 18.252262 18.844696 19.103778 19.066422 18.875983 \n", "2007/09/30 18.479893 18.908247 19.193009 19.105997 18.925086 \n", "2007/10/31 18.279117 18.799968 19.052803 19.177131 18.849374 \n", "... ... ... ... ... ... \n", "2021/08/31 NaN 17.773647 18.144136 NaN NaN \n", "2021/09/30 NaN 17.811229 18.190513 NaN NaN \n", "2021/10/31 NaN 17.790525 18.220277 NaN NaN \n", "2021/11/30 NaN 17.790525 18.162946 NaN NaN \n", "2021/12/31 NaN 17.827490 18.214394 NaN NaN \n", "2022/01/31 NaN 17.823450 18.178354 NaN NaN \n", "2022/02/28 NaN 17.952416 18.181408 NaN NaN \n", "2022/03/31 NaN 17.863137 18.184452 NaN NaN \n", "\n", "secID 900957.XSHG \n", "month_end \n", "2007/03/31 18.443459 \n", "2007/04/30 18.601201 \n", "2007/05/31 18.967507 \n", "2007/06/30 18.582595 \n", "2007/07/31 18.885421 \n", "2007/08/31 18.836862 \n", "2007/09/30 18.900338 \n", "2007/10/31 18.762567 \n", "... ... \n", "2021/08/31 18.531220 \n", "2021/09/30 18.617957 \n", "2021/10/31 18.576316 \n", "2021/11/30 18.534509 \n", "2021/12/31 18.569997 \n", "2022/01/31 18.547560 \n", "2022/02/28 18.536150 \n", "2022/03/31 18.501117 \n", "\n", "[181 rows x 4853 columns]" ] }, "execution_count": 226, "metadata": {}, "output_type": "execute_result" } ], "source": [ "temp = ret_df[['secID','month_end','size']].dropna().pivot(index='month_end',\n", " columns='secID',values='size').reset_index()\n", "temp['month_end'] = temp['month_end'].dt.strftime('%Y/%m/%d')\n", "temp.set_index('month_end')" ] }, { "cell_type": "code", "execution_count": 231, "metadata": { "editable": true }, "outputs": [], "source": [ "for c in cols:\n", " temp = ret_df[['secID','month_end',c]].dropna().pivot(index='month_end',columns='secID',values=c)\n", " temp.reset_index(inplace=True)\n", " temp['month_end'] = temp['month_end'].dt.strftime('%Y/%m/%d')\n", " temp.set_index('month_end',inplace=True)\n", " temp.to_csv(f'./data/factor_exposure/{c}_exposure.csv')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Long-only ivol factor" ] }, { "cell_type": "code", "execution_count": 181, "metadata": { "editable": true }, "outputs": [], "source": [ "factors_daily = pd.read_pickle('./data/factors/factors_daily_long_only.pkl')\n", "illiq_daily = daily_factor(ret_df, stock_df=stk_df,sort1='illiq',long_only=True)\n", "illiq_daily.name = 'illiq_long'\n", "factors_daily = pd.merge(factors_daily, illiq_daily, on='tradeDate')" ] }, { "cell_type": "code", "execution_count": 182, "metadata": {}, "outputs": [], "source": [ "reg_df = pd.merge(stk_df[['secID','tradeDate','ret_daily']],factors_daily,\n", " on=['tradeDate'])\n", "reg_df.sort_values(['secID','tradeDate'],inplace=True)\n", "reg_df['exret'] = reg_df['ret_daily'] - reg_df['rf']\n", "reg_df['ym'] = reg_df['tradeDate'].dt.to_period('M')" ] }, { "cell_type": "code", "execution_count": 183, "metadata": {}, "outputs": [], "source": [ "reg_df.set_index('ym',inplace=True)" ] }, { "cell_type": "code", "execution_count": 184, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
secIDtradeDateret_dailyrfexmktretsize_longbm_longmom_longrev_longilliq_longexret
ym
2007-06000001.XSHE2007-06-200.1975440.000073-0.024256-0.027029-0.025533NaN-0.024584-0.0246010.197470
2007-06000001.XSHE2007-06-210.1000330.0000640.005827-0.0045420.000369NaN0.000862-0.0098140.099969
2007-06000001.XSHE2007-06-220.0317690.000058-0.040473-0.061950-0.060371NaN-0.057584-0.0491150.031711
2007-06000001.XSHE2007-06-25-0.0056500.000052-0.048566-0.070613-0.069931NaN-0.063314-0.051485-0.005702
2007-06000001.XSHE2007-06-26NaN0.0000490.0146600.0182520.025202NaN0.0214960.025165NaN
2007-06000001.XSHE2007-06-27-0.0846590.0000470.0273910.0252710.023170NaN0.0244000.021623-0.084706
2007-06000001.XSHE2007-06-28-0.0645570.000046-0.050035-0.072672-0.062050NaN-0.061028-0.054388-0.064602
2007-06000001.XSHE2007-06-29-0.0869280.000049-0.029572-0.049163-0.038645NaN-0.043609-0.032912-0.086977
....................................
2022-03900957.XSHG2022-03-030.0065570.000047-0.005066-0.0012500.008643-0.007450-0.0075860.0022120.006510
2022-03900957.XSHG2022-03-04-0.0048860.000052-0.011208-0.012156-0.012217-0.014437-0.010430-0.012172-0.004938
2022-03900957.XSHG2022-03-07-0.0098200.000056-0.029398-0.011582-0.010252-0.019411-0.024816-0.015784-0.009876
2022-03900957.XSHG2022-03-08-0.0016530.000056-0.023659-0.032090-0.028670-0.030806-0.025437-0.031319-0.001709
2022-03900957.XSHG2022-03-09-0.0066230.000055-0.011676-0.012455-0.015098-0.003501-0.014331-0.018150-0.006678
2022-03900957.XSHG2022-03-100.0083330.0000550.0160640.0170020.0122650.0213930.0144680.0156270.008278
2022-03900957.XSHG2022-03-110.0016530.0000560.0045860.0079360.0070630.0016160.0076450.0084590.001597
2022-03900957.XSHG2022-03-14-0.0198020.000057-0.028878-0.026434-0.022444-0.030809-0.026685-0.026887-0.019859
\n", "

10109124 rows × 11 columns

\n", "
" ], "text/plain": [ " secID tradeDate ret_daily rf exmktret size_long \\\n", "ym \n", "2007-06 000001.XSHE 2007-06-20 0.197544 0.000073 -0.024256 -0.027029 \n", "2007-06 000001.XSHE 2007-06-21 0.100033 0.000064 0.005827 -0.004542 \n", "2007-06 000001.XSHE 2007-06-22 0.031769 0.000058 -0.040473 -0.061950 \n", "2007-06 000001.XSHE 2007-06-25 -0.005650 0.000052 -0.048566 -0.070613 \n", "2007-06 000001.XSHE 2007-06-26 NaN 0.000049 0.014660 0.018252 \n", "2007-06 000001.XSHE 2007-06-27 -0.084659 0.000047 0.027391 0.025271 \n", "2007-06 000001.XSHE 2007-06-28 -0.064557 0.000046 -0.050035 -0.072672 \n", "2007-06 000001.XSHE 2007-06-29 -0.086928 0.000049 -0.029572 -0.049163 \n", "... ... ... ... ... ... ... \n", "2022-03 900957.XSHG 2022-03-03 0.006557 0.000047 -0.005066 -0.001250 \n", "2022-03 900957.XSHG 2022-03-04 -0.004886 0.000052 -0.011208 -0.012156 \n", "2022-03 900957.XSHG 2022-03-07 -0.009820 0.000056 -0.029398 -0.011582 \n", "2022-03 900957.XSHG 2022-03-08 -0.001653 0.000056 -0.023659 -0.032090 \n", "2022-03 900957.XSHG 2022-03-09 -0.006623 0.000055 -0.011676 -0.012455 \n", "2022-03 900957.XSHG 2022-03-10 0.008333 0.000055 0.016064 0.017002 \n", "2022-03 900957.XSHG 2022-03-11 0.001653 0.000056 0.004586 0.007936 \n", "2022-03 900957.XSHG 2022-03-14 -0.019802 0.000057 -0.028878 -0.026434 \n", "\n", " bm_long mom_long rev_long illiq_long exret \n", "ym \n", "2007-06 -0.025533 NaN -0.024584 -0.024601 0.197470 \n", "2007-06 0.000369 NaN 0.000862 -0.009814 0.099969 \n", "2007-06 -0.060371 NaN -0.057584 -0.049115 0.031711 \n", "2007-06 -0.069931 NaN -0.063314 -0.051485 -0.005702 \n", "2007-06 0.025202 NaN 0.021496 0.025165 NaN \n", "2007-06 0.023170 NaN 0.024400 0.021623 -0.084706 \n", "2007-06 -0.062050 NaN -0.061028 -0.054388 -0.064602 \n", "2007-06 -0.038645 NaN -0.043609 -0.032912 -0.086977 \n", "... ... ... ... ... ... \n", "2022-03 0.008643 -0.007450 -0.007586 0.002212 0.006510 \n", "2022-03 -0.012217 -0.014437 -0.010430 -0.012172 -0.004938 \n", "2022-03 -0.010252 -0.019411 -0.024816 -0.015784 -0.009876 \n", "2022-03 -0.028670 -0.030806 -0.025437 -0.031319 -0.001709 \n", "2022-03 -0.015098 -0.003501 -0.014331 -0.018150 -0.006678 \n", "2022-03 0.012265 0.021393 0.014468 0.015627 0.008278 \n", "2022-03 0.007063 0.001616 0.007645 0.008459 0.001597 \n", "2022-03 -0.022444 -0.030809 -0.026685 -0.026887 -0.019859 \n", "\n", "[10109124 rows x 11 columns]" ] }, "execution_count": 184, "metadata": {}, "output_type": "execute_result" } ], "source": [ "reg_df" ] }, { "cell_type": "code", "execution_count": 185, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "982" ] }, "execution_count": 185, "metadata": {}, "output_type": "execute_result" } ], "source": [ "gc.collect()" ] }, { "cell_type": "code", "execution_count": 186, "metadata": {}, "outputs": [], "source": [ "# import sys\n", "# def sizeof_fmt(num, suffix='B'):\n", "# ''' by Fred Cirera, https://stackoverflow.com/a/1094933/1870254, modified'''\n", "# for unit in ['','Ki','Mi','Gi','Ti','Pi','Ei','Zi']:\n", "# if abs(num) < 1024.0:\n", "# return \"%3.1f %s%s\" % (num, unit, suffix)\n", "# num /= 1024.0\n", "# return \"%.1f %s%s\" % (num, 'Yi', suffix)\n", "\n", "# for name, size in sorted(((name, sys.getsizeof(value)) for name, value in locals().items()),\n", "# key= lambda x: -x[1])[:10]:\n", "# print(\"{:>30}: {:>8}\".format(name, sizeof_fmt(size)))" ] }, { "cell_type": "code", "execution_count": 187, "metadata": {}, "outputs": [], "source": [ "# del stk_unfilled_df, beta_df" ] }, { "cell_type": "code", "execution_count": 188, "metadata": {}, "outputs": [], "source": [ "# %%time\n", "# ivol = reg_df.groupby(['secID']).apply(idiovol_np, factor_cols=['exmktret','size_long','bm_long','mom_long','rev_long','illiq_long'])\n", "# # Takes about 27min 25s to execute" ] }, { "cell_type": "code", "execution_count": 189, "metadata": {}, "outputs": [], "source": [ "# ivol = ivol.reset_index().drop('level_1',axis=1)\n", "# display(ivol)\n", "# ivol.to_pickle('./data/idiovol1m_long_only.pkl')" ] }, { "cell_type": "code", "execution_count": 190, "metadata": {}, "outputs": [], "source": [ "vol_df = stk_df.groupby(['secID','ym'])['ret_daily'].std()\n", "vol_df = vol_df.to_frame()\n", "vol_df.columns = ['vol']\n", "vol_df.reset_index(inplace=True)\n", "MIN_NOBS = 15\n", "idx = stk_df.groupby(['secID','ym'],as_index=False)['tradeDate'].count()['tradeDate'] < MIN_NOBS\n", "vol_df.loc[idx, 'vol'] = np.nan" ] }, { "cell_type": "code", "execution_count": 191, "metadata": {}, "outputs": [], "source": [ "ivol = pd.read_pickle('./data/idiovol1m_long_only.pkl')\n", "vol_df = pd.merge(vol_df,ivol,on=['secID','ym'])\n", "vol_df['vol_clip'] = vol_df['vol'].clip(lower=vol_df['vol'].quantile(0.001),\n", " upper=vol_df['vol'].quantile(0.999))\n", "vol_df['ivol_clip'] = vol_df['idiovol1m'].clip(lower=vol_df['idiovol1m'].quantile(0.001),\n", " upper=vol_df['idiovol1m'].quantile(0.999))\n", "vol_df.rename(columns={'idiovol1m':'ivol'},inplace=True)" ] }, { "cell_type": "code", "execution_count": 192, "metadata": {}, "outputs": [], "source": [ "try:\n", " ret_df.drop(['vol','ivol','vol_clip','ivol_clip'],axis=1,inplace=True)\n", "except KeyError:\n", " pass" ] }, { "cell_type": "code", "execution_count": 193, "metadata": {}, "outputs": [], "source": [ "ret_df = pd.merge(ret_df,vol_df,\n", " on=['secID','ym'])" ] }, { "cell_type": "code", "execution_count": 194, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
secIDret_dateretrfexretymmktcapsizerevbetabmilliqilliq_12mmom_datemommonth_endvolivolvol_clipivol_clip
0000001.XSHE2007-070.3164970.0024810.3140162007-064.266117e+1024.476555NaN0.46140.123739NaNNaNNaTNaN2007-06-30NaNNaNNaNNaN
1000001.XSHE2007-080.0488550.0024040.0464512007-075.616330e+1024.7515290.3140160.64230.0939920.000040NaN2007-06NaN2007-07-310.042521NaN0.042521NaN
2000001.XSHE2007-090.0521050.0026210.0494842007-085.890714e+1024.7992280.0464510.77220.0970850.000020NaN2007-07NaN2007-08-310.033926NaN0.033926NaN
3000001.XSHE2007-100.2018510.0030950.1987562007-096.197651e+1024.8500210.0494840.75960.0922760.000025NaN2007-08NaN2007-09-300.023872NaN0.023872NaN
4000001.XSHE2007-11-0.2491160.003780-0.2528962007-107.448652e+1025.0338840.1987560.79880.0834110.000030NaN2007-09NaN2007-10-310.035921NaN0.035921NaN
5000001.XSHE2007-120.0698450.0030110.0668342007-115.593078e+1024.747381-0.2528960.95600.1110840.000048NaN2007-10NaN2007-11-300.033184NaN0.033184NaN
6000001.XSHE2008-01-0.1373060.002949-0.1402552007-126.574629e+1024.9090690.0668340.94680.0944760.000025NaN2007-11NaN2007-12-310.027254NaN0.027254NaN
7000001.XSHE2008-02-0.0045040.002946-0.0074502008-015.850212e+1024.792329-0.1402550.96540.1095130.000039NaN2007-12NaN2008-01-310.0377220.0106270.0377220.010627
...............................................................
504872900957.XSHG2021-090.0898690.0020330.0878372021-081.116880e+0818.531220-0.060402NaNNaN0.0673210.0718302021-070.1839712021-08-310.0122680.0088700.0122680.008870
504873900957.XSHG2021-10-0.0404800.001998-0.0424782021-091.218080e+0818.6179570.087837NaNNaN0.0450220.0701972021-080.1860472021-09-300.0223510.0168440.0223510.016844
504874900957.XSHG2021-11-0.0406250.001963-0.0425882021-101.168400e+0818.576316-0.042478NaNNaN0.0584570.0676462021-090.2851642021-10-310.0116630.0074140.0116630.007414
504875900957.XSHG2021-120.0358310.0020260.0338052021-111.120560e+0818.534509-0.042588NaNNaN0.0700560.0628842021-100.2167302021-11-300.0096390.0067000.0096390.006700
504876900957.XSHG2022-01-0.0220130.002014-0.0240272021-121.161040e+0818.5699970.033805NaNNaN0.0780370.0596722021-110.2110452021-12-310.0109610.0084670.0109610.008467
504877900957.XSHG2022-02-0.0112540.001921-0.0131752022-011.135280e+0818.547560-0.024027NaNNaN0.0445150.0585022021-12-0.0591722022-01-310.0105590.0087080.0105590.008708
504878900957.XSHG2022-03-0.0341460.001919-0.0360662022-021.122400e+0818.536150-0.013175NaNNaN0.0572180.0602082022-01-0.1571822022-02-280.0065170.0040710.0065170.004071
504879900957.XSHGNaTNaNNaNNaN2022-031.083760e+0818.501117-0.036066NaNNaNNaN0.0624422022-02-0.1176472022-03-31NaNNaNNaNNaN
\n", "

504880 rows × 20 columns

\n", "
" ], "text/plain": [ " secID ret_date ret rf exret ym \\\n", "0 000001.XSHE 2007-07 0.316497 0.002481 0.314016 2007-06 \n", "1 000001.XSHE 2007-08 0.048855 0.002404 0.046451 2007-07 \n", "2 000001.XSHE 2007-09 0.052105 0.002621 0.049484 2007-08 \n", "3 000001.XSHE 2007-10 0.201851 0.003095 0.198756 2007-09 \n", "4 000001.XSHE 2007-11 -0.249116 0.003780 -0.252896 2007-10 \n", "5 000001.XSHE 2007-12 0.069845 0.003011 0.066834 2007-11 \n", "6 000001.XSHE 2008-01 -0.137306 0.002949 -0.140255 2007-12 \n", "7 000001.XSHE 2008-02 -0.004504 0.002946 -0.007450 2008-01 \n", "... ... ... ... ... ... ... \n", "504872 900957.XSHG 2021-09 0.089869 0.002033 0.087837 2021-08 \n", "504873 900957.XSHG 2021-10 -0.040480 0.001998 -0.042478 2021-09 \n", "504874 900957.XSHG 2021-11 -0.040625 0.001963 -0.042588 2021-10 \n", "504875 900957.XSHG 2021-12 0.035831 0.002026 0.033805 2021-11 \n", "504876 900957.XSHG 2022-01 -0.022013 0.002014 -0.024027 2021-12 \n", "504877 900957.XSHG 2022-02 -0.011254 0.001921 -0.013175 2022-01 \n", "504878 900957.XSHG 2022-03 -0.034146 0.001919 -0.036066 2022-02 \n", "504879 900957.XSHG NaT NaN NaN NaN 2022-03 \n", "\n", " mktcap size rev beta bm illiq \\\n", "0 4.266117e+10 24.476555 NaN 0.4614 0.123739 NaN \n", "1 5.616330e+10 24.751529 0.314016 0.6423 0.093992 0.000040 \n", "2 5.890714e+10 24.799228 0.046451 0.7722 0.097085 0.000020 \n", "3 6.197651e+10 24.850021 0.049484 0.7596 0.092276 0.000025 \n", "4 7.448652e+10 25.033884 0.198756 0.7988 0.083411 0.000030 \n", "5 5.593078e+10 24.747381 -0.252896 0.9560 0.111084 0.000048 \n", "6 6.574629e+10 24.909069 0.066834 0.9468 0.094476 0.000025 \n", "7 5.850212e+10 24.792329 -0.140255 0.9654 0.109513 0.000039 \n", "... ... ... ... ... ... ... \n", "504872 1.116880e+08 18.531220 -0.060402 NaN NaN 0.067321 \n", "504873 1.218080e+08 18.617957 0.087837 NaN NaN 0.045022 \n", "504874 1.168400e+08 18.576316 -0.042478 NaN NaN 0.058457 \n", "504875 1.120560e+08 18.534509 -0.042588 NaN NaN 0.070056 \n", "504876 1.161040e+08 18.569997 0.033805 NaN NaN 0.078037 \n", "504877 1.135280e+08 18.547560 -0.024027 NaN NaN 0.044515 \n", "504878 1.122400e+08 18.536150 -0.013175 NaN NaN 0.057218 \n", "504879 1.083760e+08 18.501117 -0.036066 NaN NaN NaN \n", "\n", " illiq_12m mom_date mom month_end vol ivol vol_clip \\\n", "0 NaN NaT NaN 2007-06-30 NaN NaN NaN \n", "1 NaN 2007-06 NaN 2007-07-31 0.042521 NaN 0.042521 \n", "2 NaN 2007-07 NaN 2007-08-31 0.033926 NaN 0.033926 \n", "3 NaN 2007-08 NaN 2007-09-30 0.023872 NaN 0.023872 \n", "4 NaN 2007-09 NaN 2007-10-31 0.035921 NaN 0.035921 \n", "5 NaN 2007-10 NaN 2007-11-30 0.033184 NaN 0.033184 \n", "6 NaN 2007-11 NaN 2007-12-31 0.027254 NaN 0.027254 \n", "7 NaN 2007-12 NaN 2008-01-31 0.037722 0.010627 0.037722 \n", "... ... ... ... ... ... ... ... \n", "504872 0.071830 2021-07 0.183971 2021-08-31 0.012268 0.008870 0.012268 \n", "504873 0.070197 2021-08 0.186047 2021-09-30 0.022351 0.016844 0.022351 \n", "504874 0.067646 2021-09 0.285164 2021-10-31 0.011663 0.007414 0.011663 \n", "504875 0.062884 2021-10 0.216730 2021-11-30 0.009639 0.006700 0.009639 \n", "504876 0.059672 2021-11 0.211045 2021-12-31 0.010961 0.008467 0.010961 \n", "504877 0.058502 2021-12 -0.059172 2022-01-31 0.010559 0.008708 0.010559 \n", "504878 0.060208 2022-01 -0.157182 2022-02-28 0.006517 0.004071 0.006517 \n", "504879 0.062442 2022-02 -0.117647 2022-03-31 NaN NaN NaN \n", "\n", " ivol_clip \n", "0 NaN \n", "1 NaN \n", "2 NaN \n", "3 NaN \n", "4 NaN \n", "5 NaN \n", "6 NaN \n", "7 0.010627 \n", "... ... \n", "504872 0.008870 \n", "504873 0.016844 \n", "504874 0.007414 \n", "504875 0.006700 \n", "504876 0.008467 \n", "504877 0.008708 \n", "504878 0.004071 \n", "504879 NaN \n", "\n", "[504880 rows x 20 columns]" ] }, "execution_count": 194, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ret_df" ] }, { "cell_type": "code", "execution_count": 195, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
p1p2p3p4p5p6p7p8p9p10p10-p1
mean0.0105320.0119800.0123560.0112810.0112560.0093720.0069910.0052700.001382-0.006320-0.016853
t-value1.5227261.5865341.6527291.5006931.5241621.2500430.9505760.6907560.183209-0.806767-6.591518
\n", "
" ], "text/plain": [ " p1 p2 p3 p4 p5 p6 p7 \\\n", "mean 0.010532 0.011980 0.012356 0.011281 0.011256 0.009372 0.006991 \n", "t-value 1.522726 1.586534 1.652729 1.500693 1.524162 1.250043 0.950576 \n", "\n", " p8 p9 p10 p10-p1 \n", "mean 0.005270 0.001382 -0.006320 -0.016853 \n", "t-value 0.690756 0.183209 -0.806767 -6.591518 " ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "single_sort(ret_df, 'ivol')" ] }, { "cell_type": "code", "execution_count": 196, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
interceptbetasizebmmomrevilliqivol_clip
ret_mean0.0555160.001162-0.0021450.0010130.001585-0.02608617.960781-0.685669
t_values1.5585960.253062-1.5139380.2261050.544070-2.8376884.340997-10.152195
\n", "
" ], "text/plain": [ " intercept beta size bm mom rev \\\n", "ret_mean 0.055516 0.001162 -0.002145 0.001013 0.001585 -0.026086 \n", "t_values 1.558596 0.253062 -1.513938 0.226105 0.544070 -2.837688 \n", "\n", " illiq ivol_clip \n", "ret_mean 17.960781 -0.685669 \n", "t_values 4.340997 -10.152195 " ] }, "execution_count": 196, "metadata": {}, "output_type": "execute_result" } ], "source": [ "cols = ['beta','size','bm','mom','rev','illiq','ivol_clip']\n", "temp = ret_df.groupby('ret_date').apply(fm_reg, cols=cols)\n", "reg_result_df = pd.DataFrame(temp.values.tolist())\n", "reg_result_df.index=temp.index\n", "reg_result_df.columns = ['intercept'] + cols\n", "reg_result_df.dropna(inplace=True)\n", "\n", "# Mean of coefs with NW adjustment\n", "mean_values = {}\n", "t_values = {}\n", "for k in reg_result_df.columns:\n", " y = reg_result_df[k]\n", " const = np.full(shape=len(y),fill_value=1)\n", " reg = sm.OLS(y, const).fit().get_robustcov_results(cov_type='HAC', maxlags=6)\n", " mean_values[k] = reg.params[0]\n", " t_values[k] = reg.tvalues[0]\n", "pd.DataFrame([mean_values.values(),t_values.values()],index=['ret_mean','t_values'],columns=mean_values.keys())" ] }, { "cell_type": "code", "execution_count": 197, "metadata": {}, "outputs": [], "source": [ "ivol_factor = factor(ret_df, sort1='ivol',long_high=False,long_only=True)" ] }, { "cell_type": "code", "execution_count": 198, "metadata": {}, "outputs": [], "source": [ "factors_long_df = pd.merge(factors_long_df,ivol_factor,on='ret_date',how='left')" ] }, { "cell_type": "code", "execution_count": 199, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 199, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "((factors_long_df+1).cumprod()*100).plot()" ] }, { "cell_type": "code", "execution_count": 200, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 200, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "((factors_long_df['2018':]+1).cumprod()*100).plot()" ] }, { "cell_type": "code", "execution_count": 201, "metadata": {}, "outputs": [], "source": [ "factors_long_df.rename(columns={'ivol':'ivol_long'},inplace=True)" ] }, { "cell_type": "code", "execution_count": 202, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
rfexmktretsmall_onlyhigh_onlyrev_longilliq_longivol_long
ret_date
2008-020.0029460.0240100.1063500.0607890.0596120.0487170.060142
2008-030.002746-0.195480-0.185605-0.204875-0.177674-0.184564-0.157342
2008-040.0028620.022519-0.073984-0.0081380.026001-0.039478-0.021866
2008-050.002953-0.080798-0.020726-0.056888-0.038600-0.027371-0.050738
2008-060.003113-0.236014-0.258596-0.240880-0.249542-0.207909-0.222131
2008-070.0028060.0149720.1103890.0721200.0844310.0844880.068393
2008-080.002681-0.170063-0.234635-0.187086-0.205410-0.189043-0.163784
2008-090.002889-0.067913-0.088250-0.068698-0.063282-0.080665-0.086935
........................
2021-070.001942-0.064776-0.001619-0.044277-0.064251-0.020196-0.040926
2021-080.0019410.0141990.0570720.0682520.0198320.0663610.054721
2021-090.0020330.002272-0.0246470.0136580.0093200.0094600.032838
2021-100.0019980.001777-0.025143-0.0410590.008093-0.021662-0.015415
2021-110.001963-0.0060470.1303580.0438550.0708740.1007200.050708
2021-120.0020260.0181850.0376710.0502230.0452950.0838630.065554
2022-010.002014-0.085436-0.086267-0.045570-0.110829-0.062290-0.045721
2022-020.0019210.0106330.0495480.0340110.0504880.0392550.035960
\n", "

169 rows × 7 columns

\n", "
" ], "text/plain": [ " rf exmktret small_only high_only rev_long illiq_long \\\n", "ret_date \n", "2008-02 0.002946 0.024010 0.106350 0.060789 0.059612 0.048717 \n", "2008-03 0.002746 -0.195480 -0.185605 -0.204875 -0.177674 -0.184564 \n", "2008-04 0.002862 0.022519 -0.073984 -0.008138 0.026001 -0.039478 \n", "2008-05 0.002953 -0.080798 -0.020726 -0.056888 -0.038600 -0.027371 \n", "2008-06 0.003113 -0.236014 -0.258596 -0.240880 -0.249542 -0.207909 \n", "2008-07 0.002806 0.014972 0.110389 0.072120 0.084431 0.084488 \n", "2008-08 0.002681 -0.170063 -0.234635 -0.187086 -0.205410 -0.189043 \n", "2008-09 0.002889 -0.067913 -0.088250 -0.068698 -0.063282 -0.080665 \n", "... ... ... ... ... ... ... \n", "2021-07 0.001942 -0.064776 -0.001619 -0.044277 -0.064251 -0.020196 \n", "2021-08 0.001941 0.014199 0.057072 0.068252 0.019832 0.066361 \n", "2021-09 0.002033 0.002272 -0.024647 0.013658 0.009320 0.009460 \n", "2021-10 0.001998 0.001777 -0.025143 -0.041059 0.008093 -0.021662 \n", "2021-11 0.001963 -0.006047 0.130358 0.043855 0.070874 0.100720 \n", "2021-12 0.002026 0.018185 0.037671 0.050223 0.045295 0.083863 \n", "2022-01 0.002014 -0.085436 -0.086267 -0.045570 -0.110829 -0.062290 \n", "2022-02 0.001921 0.010633 0.049548 0.034011 0.050488 0.039255 \n", "\n", " ivol_long \n", "ret_date \n", "2008-02 0.060142 \n", "2008-03 -0.157342 \n", "2008-04 -0.021866 \n", "2008-05 -0.050738 \n", "2008-06 -0.222131 \n", "2008-07 0.068393 \n", "2008-08 -0.163784 \n", "2008-09 -0.086935 \n", "... ... \n", "2021-07 -0.040926 \n", "2021-08 0.054721 \n", "2021-09 0.032838 \n", "2021-10 -0.015415 \n", "2021-11 0.050708 \n", "2021-12 0.065554 \n", "2022-01 -0.045721 \n", "2022-02 0.035960 \n", "\n", "[169 rows x 7 columns]" ] }, "execution_count": 202, "metadata": {}, "output_type": "execute_result" } ], "source": [ "factors_long_df" ] }, { "cell_type": "code", "execution_count": 203, "metadata": {}, "outputs": [], "source": [ "factors_long_df.to_pickle('./data/factors/factors_all_long_only.pkl')" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": { "editable": true }, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.5" }, "widgets": { "application/vnd.jupyter.widget-state+json": { "state": {}, "version_major": 2, "version_minor": 0 } } }, "nbformat": 4, "nbformat_minor": 4 }