FAMA.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Retrieving economic data from FAMA\n",
    "\n",
    "Kenneth French and Eugene Fama publish the results from their research on factors influencing investment returns on their website https://mba.tuck.dartmouth.edu/pages/faculty/ken.french/data_library.html You can download this data using the pandas_datareader library. \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Code sample"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import pandas_datareader.data as web\n",
    "from pandas_datareader.famafrench import get_available_datasets \n",
    "import datetime as dt\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Retrieving all available datasets from the site\n",
    "\n",
    "Using get_available_datasets(), you can extract the name for all available datasets - currently there are 297 different datasets available"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No. of datasets:297\n",
      "F-F_Research_Data_Factors\n",
      "F-F_Research_Data_Factors_weekly\n",
      "F-F_Research_Data_Factors_daily\n",
      "F-F_Research_Data_5_Factors_2x3\n",
      "F-F_Research_Data_5_Factors_2x3_daily\n",
      "Portfolios_Formed_on_ME\n",
      "Portfolios_Formed_on_ME_Wout_Div\n",
      "Portfolios_Formed_on_ME_Daily\n",
      "Portfolios_Formed_on_BE-ME\n",
      "Portfolios_Formed_on_BE-ME_Wout_Div\n",
      "Portfolios_Formed_on_BE-ME_Daily\n",
      "Portfolios_Formed_on_OP\n",
      "Portfolios_Formed_on_OP_Wout_Div\n",
      "Portfolios_Formed_on_OP_Daily\n",
      "Portfolios_Formed_on_INV\n",
      "Portfolios_Formed_on_INV_Wout_Div\n",
      "Portfolios_Formed_on_INV_Daily\n",
      "6_Portfolios_2x3\n",
      "6_Portfolios_2x3_Wout_Div\n",
      "6_Portfolios_2x3_weekly\n",
      "6_Portfolios_2x3_daily\n",
      "25_Portfolios_5x5\n",
      "25_Portfolios_5x5_Wout_Div\n",
      "25_Portfolios_5x5_Daily\n",
      "100_Portfolios_10x10\n",
      "100_Portfolios_10x10_Wout_Div\n",
      "100_Portfolios_10x10_Daily\n",
      "6_Portfolios_ME_OP_2x3\n",
      "6_Portfolios_ME_OP_2x3_Wout_Div\n",
      "6_Portfolios_ME_OP_2x3_daily\n",
      "25_Portfolios_ME_OP_5x5\n",
      "25_Portfolios_ME_OP_5x5_Wout_Div\n",
      "25_Portfolios_ME_OP_5x5_daily\n",
      "100_Portfolios_ME_OP_10x10\n",
      "100_Portfolios_10x10_ME_OP_Wout_Div\n",
      "100_Portfolios_ME_OP_10x10_daily\n",
      "6_Portfolios_ME_INV_2x3\n",
      "6_Portfolios_ME_INV_2x3_Wout_Div\n",
      "6_Portfolios_ME_INV_2x3_daily\n",
      "25_Portfolios_ME_INV_5x5\n",
      "25_Portfolios_ME_INV_5x5_Wout_Div\n",
      "25_Portfolios_ME_INV_5x5_daily\n",
      "100_Portfolios_ME_INV_10x10\n",
      "100_Portfolios_10x10_ME_INV_Wout_Div\n",
      "100_Portfolios_ME_INV_10x10_daily\n",
      "25_Portfolios_BEME_OP_5x5\n",
      "25_Portfolios_BEME_OP_5x5_Wout_Div\n",
      "25_Portfolios_BEME_OP_5x5_daily\n",
      "25_Portfolios_BEME_INV_5x5\n",
      "25_Portfolios_BEME_INV_5x5_Wout_Div\n",
      "25_Portfolios_BEME_INV_5x5_daily\n",
      "25_Portfolios_OP_INV_5x5\n",
      "25_Portfolios_OP_INV_5x5_Wout_Div\n",
      "25_Portfolios_OP_INV_5x5_daily\n",
      "32_Portfolios_ME_BEME_OP_2x4x4\n",
      "32_Portfolios_ME_BEME_OP_2x4x4_Wout_Div\n",
      "32_Portfolios_ME_BEME_INV_2x4x4\n",
      "32_Portfolios_ME_BEME_INV_2x4x4_Wout_Div\n",
      "32_Portfolios_ME_OP_INV_2x4x4\n",
      "32_Portfolios_ME_OP_INV_2x4x4_Wout_Div\n",
      "Portfolios_Formed_on_E-P\n",
      "Portfolios_Formed_on_E-P_Wout_Div\n",
      "Portfolios_Formed_on_CF-P\n",
      "Portfolios_Formed_on_CF-P_Wout_Div\n",
      "Portfolios_Formed_on_D-P\n",
      "Portfolios_Formed_on_D-P_Wout_Div\n",
      "6_Portfolios_ME_EP_2x3\n",
      "6_Portfolios_ME_EP_2x3_Wout_Div\n",
      "6_Portfolios_ME_CFP_2x3\n",
      "6_Portfolios_ME_CFP_2x3_Wout_Div\n",
      "6_Portfolios_ME_DP_2x3\n",
      "6_Portfolios_ME_DP_2x3_Wout_Div\n",
      "F-F_Momentum_Factor\n",
      "F-F_Momentum_Factor_daily\n",
      "6_Portfolios_ME_Prior_12_2\n",
      "6_Portfolios_ME_Prior_12_2_Daily\n",
      "25_Portfolios_ME_Prior_12_2\n",
      "25_Portfolios_ME_Prior_12_2_Daily\n",
      "10_Portfolios_Prior_12_2\n",
      "10_Portfolios_Prior_12_2_Daily\n",
      "F-F_ST_Reversal_Factor\n",
      "F-F_ST_Reversal_Factor_daily\n",
      "6_Portfolios_ME_Prior_1_0\n",
      "6_Portfolios_ME_Prior_1_0_Daily\n",
      "25_Portfolios_ME_Prior_1_0\n",
      "25_Portfolios_ME_Prior_1_0_Daily\n",
      "10_Portfolios_Prior_1_0\n",
      "10_Portfolios_Prior_1_0_Daily\n",
      "F-F_LT_Reversal_Factor\n",
      "F-F_LT_Reversal_Factor_daily\n",
      "6_Portfolios_ME_Prior_60_13\n",
      "6_Portfolios_ME_Prior_60_13_Daily\n",
      "25_Portfolios_ME_Prior_60_13\n",
      "25_Portfolios_ME_Prior_60_13_Daily\n",
      "10_Portfolios_Prior_60_13\n",
      "10_Portfolios_Prior_60_13_Daily\n",
      "Portfolios_Formed_on_AC\n",
      "25_Portfolios_ME_AC_5x5\n",
      "Portfolios_Formed_on_BETA\n",
      "25_Portfolios_ME_BETA_5x5\n",
      "Portfolios_Formed_on_NI\n",
      "25_Portfolios_ME_NI_5x5\n",
      "Portfolios_Formed_on_VAR\n",
      "25_Portfolios_ME_VAR_5x5\n",
      "Portfolios_Formed_on_RESVAR\n",
      "25_Portfolios_ME_RESVAR_5x5\n",
      "5_Industry_Portfolios\n",
      "5_Industry_Portfolios_Wout_Div\n",
      "5_Industry_Portfolios_daily\n",
      "10_Industry_Portfolios\n",
      "10_Industry_Portfolios_Wout_Div\n",
      "10_Industry_Portfolios_daily\n",
      "12_Industry_Portfolios\n",
      "12_Industry_Portfolios_Wout_Div\n",
      "12_Industry_Portfolios_daily\n",
      "17_Industry_Portfolios\n",
      "17_Industry_Portfolios_Wout_Div\n",
      "17_Industry_Portfolios_daily\n",
      "30_Industry_Portfolios\n",
      "30_Industry_Portfolios_Wout_Div\n",
      "30_Industry_Portfolios_daily\n",
      "38_Industry_Portfolios\n",
      "38_Industry_Portfolios_Wout_Div\n",
      "38_Industry_Portfolios_daily\n",
      "48_Industry_Portfolios\n",
      "48_Industry_Portfolios_Wout_Div\n",
      "48_Industry_Portfolios_daily\n",
      "49_Industry_Portfolios\n",
      "49_Industry_Portfolios_Wout_Div\n",
      "49_Industry_Portfolios_daily\n",
      "ME_Breakpoints\n",
      "BE-ME_Breakpoints\n",
      "OP_Breakpoints\n",
      "INV_Breakpoints\n",
      "E-P_Breakpoints\n",
      "CF-P_Breakpoints\n",
      "D-P_Breakpoints\n",
      "Prior_2-12_Breakpoints\n",
      "Developed_3_Factors\n",
      "Developed_3_Factors_Daily\n",
      "Developed_ex_US_3_Factors\n",
      "Developed_ex_US_3_Factors_Daily\n",
      "Europe_3_Factors\n",
      "Europe_3_Factors_Daily\n",
      "Japan_3_Factors\n",
      "Japan_3_Factors_Daily\n",
      "Asia_Pacific_ex_Japan_3_Factors\n",
      "Asia_Pacific_ex_Japan_3_Factors_Daily\n",
      "North_America_3_Factors\n",
      "North_America_3_Factors_Daily\n",
      "Developed_5_Factors\n",
      "Developed_5_Factors_Daily\n",
      "Developed_ex_US_5_Factors\n",
      "Developed_ex_US_5_Factors_Daily\n",
      "Europe_5_Factors\n",
      "Europe_5_Factors_Daily\n",
      "Japan_5_Factors\n",
      "Japan_5_Factors_Daily\n",
      "Asia_Pacific_ex_Japan_5_Factors\n",
      "Asia_Pacific_ex_Japan_5_Factors_Daily\n",
      "North_America_5_Factors\n",
      "North_America_5_Factors_Daily\n",
      "Developed_Mom_Factor\n",
      "Developed_Mom_Factor_Daily\n",
      "Developed_ex_US_Mom_Factor\n",
      "Developed_ex_US_Mom_Factor_Daily\n",
      "Europe_Mom_Factor\n",
      "Europe_Mom_Factor_Daily\n",
      "Japan_Mom_Factor\n",
      "Japan_Mom_Factor_Daily\n",
      "Asia_Pacific_ex_Japan_MOM_Factor\n",
      "Asia_Pacific_ex_Japan_MOM_Factor_Daily\n",
      "North_America_Mom_Factor\n",
      "North_America_Mom_Factor_Daily\n",
      "Developed_6_Portfolios_ME_BE-ME\n",
      "Developed_6_Portfolios_ME_BE-ME_daily\n",
      "Developed_ex_US_6_Portfolios_ME_BE-ME\n",
      "Developed_ex_US_6_Portfolios_ME_BE-ME_daily\n",
      "Europe_6_Portfolios_ME_BE-ME\n",
      "Europe_6_Portfolios_ME_BE-ME_daily\n",
      "Japan_6_Portfolios_ME_BE-ME\n",
      "Japan_6_Portfolios_ME_BE-ME_daily\n",
      "Asia_Pacific_ex_Japan_6_Portfolios_ME_BE-ME\n",
      "Asia_Pacific_ex_Japan_6_Portfolios_ME_BE-ME_daily\n",
      "North_America_6_Portfolios_ME_BE-ME\n",
      "North_America_6_Portfolios_ME_BE-ME_daily\n",
      "Developed_25_Portfolios_ME_BE-ME\n",
      "Developed_25_Portfolios_ME_BE-ME_daily\n",
      "Developed_ex_US_25_Portfolios_ME_BE-ME\n",
      "Developed_ex_US_25_Portfolios_ME_BE-ME_daily\n",
      "Europe_25_Portfolios_ME_BE-ME\n",
      "Europe_25_Portfolios_ME_BE-ME_daily\n",
      "Japan_25_Portfolios_ME_BE-ME\n",
      "Japan_25_Portfolios_ME_BE-ME_daily\n",
      "Asia_Pacific_ex_Japan_25_Portfolios_ME_BE-ME\n",
      "Asia_Pacific_ex_Japan_25_Portfolios_ME_BE-ME_daily\n",
      "North_America_25_Portfolios_ME_BE-ME\n",
      "North_America_25_Portfolios_ME_BE-ME_daily\n",
      "Developed_6_Portfolios_ME_OP\n",
      "Developed_6_Portfolios_ME_OP_Daily\n",
      "Developed_ex_US_6_Portfolios_ME_OP\n",
      "Developed_ex_US_6_Portfolios_ME_OP_Daily\n",
      "Europe_6_Portfolios_ME_OP\n",
      "Europe_6_Portfolios_ME_OP_Daily\n",
      "Japan_6_Portfolios_ME_OP\n",
      "Japan_6_Portfolios_ME_OP_Daily\n",
      "Asia_Pacific_ex_Japan_6_Portfolios_ME_OP\n",
      "Asia_Pacific_ex_Japan_6_Portfolios_ME_OP_Daily\n",
      "North_America_6_Portfolios_ME_OP\n",
      "North_America_6_Portfolios_ME_OP_Daily\n",
      "Developed_25_Portfolios_ME_OP\n",
      "Developed_25_Portfolios_ME_OP_Daily\n",
      "Developed_ex_US_25_Portfolios_ME_OP\n",
      "Developed_ex_US_25_Portfolios_ME_OP_Daily\n",
      "Europe_25_Portfolios_ME_OP\n",
      "Europe_25_Portfolios_ME_OP_Daily\n",
      "Japan_25_Portfolios_ME_OP\n",
      "Japan_25_Portfolios_ME_OP_Daily\n",
      "Asia_Pacific_ex_Japan_25_Portfolios_ME_OP\n",
      "Asia_Pacific_ex_Japan_25_Portfolios_ME_OP_Daily\n",
      "North_America_25_Portfolios_ME_OP\n",
      "North_America_25_Portfolios_ME_OP_Daily\n",
      "Developed_6_Portfolios_ME_INV\n",
      "Developed_6_Portfolios_ME_INV_Daily\n",
      "Developed_ex_US_6_Portfolios_ME_INV\n",
      "Developed_ex_US_6_Portfolios_ME_INV_Daily\n",
      "Europe_6_Portfolios_ME_INV\n",
      "Europe_6_Portfolios_ME_INV_Daily\n",
      "Japan_6_Portfolios_ME_INV\n",
      "Japan_6_Portfolios_ME_INV_Daily\n",
      "Asia_Pacific_ex_Japan_6_Portfolios_ME_INV\n",
      "Asia_Pacific_ex_Japan_6_Portfolios_ME_INV_Daily\n",
      "North_America_6_Portfolios_ME_INV\n",
      "North_America_6_Portfolios_ME_INV_Daily\n",
      "Developed_25_Portfolios_ME_INV\n",
      "Developed_25_Portfolios_ME_INV_Daily\n",
      "Developed_ex_US_25_Portfolios_ME_INV\n",
      "Developed_ex_US_25_Portfolios_ME_INV_Daily\n",
      "Europe_25_Portfolios_ME_INV\n",
      "Europe_25_Portfolios_ME_INV_Daily\n",
      "Japan_25_Portfolios_ME_INV\n",
      "Japan_25_Portfolios_ME_INV_Daily\n",
      "Asia_Pacific_ex_Japan_25_Portfolios_ME_INV\n",
      "Asia_Pacific_ex_Japan_25_Portfolios_ME_INV_Daily\n",
      "North_America_25_Portfolios_ME_INV\n",
      "North_America_25_Portfolios_ME_INV_Daily\n",
      "Developed_6_Portfolios_ME_Prior_12_2\n",
      "Developed_6_Portfolios_ME_Prior_250_20_daily\n",
      "Developed_ex_US_6_Portfolios_ME_Prior_12_2\n",
      "Developed_ex_US_6_Portfolios_ME_Prior_250_20_daily\n",
      "Europe_6_Portfolios_ME_Prior_12_2\n",
      "Europe_6_Portfolios_ME_Prior_250_20_daily\n",
      "Japan_6_Portfolios_ME_Prior_12_2\n",
      "Japan_6_Portfolios_ME_Prior_250_20_daily\n",
      "Asia_Pacific_ex_Japan_6_Portfolios_ME_Prior_12_2\n",
      "Asia_Pacific_ex_Japan_6_Portfolios_ME_Prior_250_20_daily\n",
      "North_America_6_Portfolios_ME_Prior_12_2\n",
      "North_America_6_Portfolios_ME_Prior_250_20_daily\n",
      "Developed_25_Portfolios_ME_Prior_12_2\n",
      "Developed_25_Portfolios_ME_Prior_250_20_daily\n",
      "Developed_ex_US_25_Portfolios_ME_Prior_12_2\n",
      "Developed_ex_US_25_Portfolios_ME_Prior_250_20_daily\n",
      "Europe_25_Portfolios_ME_Prior_12_2\n",
      "Europe_25_Portfolios_ME_Prior_250_20_daily\n",
      "Japan_25_Portfolios_ME_Prior_12_2\n",
      "Japan_25_Portfolios_ME_Prior_250_20_daily\n",
      "Asia_Pacific_ex_Japan_25_Portfolios_ME_Prior_12_2\n",
      "Asia_Pacific_ex_Japan_25_Portfolios_ME_Prior_250_20_daily\n",
      "North_America_25_Portfolios_ME_Prior_12_2\n",
      "North_America_25_Portfolios_ME_Prior_250_20_daily\n",
      "Developed_32_Portfolios_ME_BE-ME_OP_2x4x4\n",
      "Developed_ex_US_32_Portfolios_ME_BE-ME_OP_2x4x4\n",
      "Europe_32_Portfolios_ME_BE-ME_OP_2x4x4\n",
      "Japan_32_Portfolios_ME_BE-ME_OP_2x4x4\n",
      "Asia_Pacific_ex_Japan_32_Portfolios_ME_BE-ME_OP_2x4x4\n",
      "North_America_32_Portfolios_ME_BE-ME_OP_2x4x4\n",
      "Developed_32_Portfolios_ME_BE-ME_INV(TA)_2x4x4\n",
      "Developed_ex_US_32_Portfolios_ME_BE-ME_INV(TA)_2x4x4\n",
      "Europe_32_Portfolios_ME_BE-ME_INV(TA)_2x4x4\n",
      "Japan_32_Portfolios_ME_BE-ME_INV(TA)_2x4x4\n",
      "Asia_Pacific_ex_Japan_32_Portfolios_ME_BE-ME_INV(TA)_2x4x4\n",
      "North_America_32_Portfolios_ME_BE-ME_INV(TA)_2x4x4\n",
      "Developed_32_Portfolios_ME_INV(TA)_OP_2x4x4\n",
      "Developed_ex_US_32_Portfolios_ME_INV(TA)_OP_2x4x4\n",
      "Europe_32_Portfolios_ME_INV(TA)_OP_2x4x4\n",
      "Japan_32_Portfolios_ME_INV(TA)_OP_2x4x4\n",
      "Asia_Pacific_ex_Japan_32_Portfolios_ME_INV(TA)_OP_2x4x4\n",
      "North_America_32_Portfolios_ME_INV(TA)_OP_2x4x4\n",
      "Emerging_5_Factors\n",
      "Emerging_MOM_Factor\n",
      "Emerging_Markets_6_Portfolios_ME_BE-ME\n",
      "Emerging_Markets_6_Portfolios_ME_OP\n",
      "Emerging_Markets_6_Portfolios_ME_INV\n",
      "Emerging_Markets_6_Portfolios_ME_Prior_12_2\n",
      "Emerging_Markets_4_Portfolios_BE-ME_OP\n",
      "Emerging_Markets_4_Portfolios_OP_INV\n",
      "Emerging_Markets_4_Portfolios_BE-ME_INV\n"
     ]
    }
   ],
   "source": [
    "datasets = get_available_datasets()\n",
    "print('No. of datasets:{0}'.format(len(datasets)))\n",
    "for i in datasets:\n",
    "    print(i)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's try to find the dataset which contains the monthly returns of a set of 6 portfolios formed on market caps, or market equities of the companies."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Portfolios_Formed_on_ME', 'Portfolios_Formed_on_ME_Wout_Div', 'Portfolios_Formed_on_ME_Daily', 'Portfolios_Formed_on_BE-ME', 'Portfolios_Formed_on_BE-ME_Wout_Div', 'Portfolios_Formed_on_BE-ME_Daily', '6_Portfolios_ME_OP_2x3', '6_Portfolios_ME_OP_2x3_Wout_Div', '6_Portfolios_ME_OP_2x3_daily', '25_Portfolios_ME_OP_5x5', '25_Portfolios_ME_OP_5x5_Wout_Div', '25_Portfolios_ME_OP_5x5_daily', '100_Portfolios_ME_OP_10x10', '100_Portfolios_10x10_ME_OP_Wout_Div', '100_Portfolios_ME_OP_10x10_daily', '6_Portfolios_ME_INV_2x3', '6_Portfolios_ME_INV_2x3_Wout_Div', '6_Portfolios_ME_INV_2x3_daily', '25_Portfolios_ME_INV_5x5', '25_Portfolios_ME_INV_5x5_Wout_Div', '25_Portfolios_ME_INV_5x5_daily', '100_Portfolios_ME_INV_10x10', '100_Portfolios_10x10_ME_INV_Wout_Div', '100_Portfolios_ME_INV_10x10_daily', '25_Portfolios_BEME_OP_5x5', '25_Portfolios_BEME_OP_5x5_Wout_Div', '25_Portfolios_BEME_OP_5x5_daily', '25_Portfolios_BEME_INV_5x5', '25_Portfolios_BEME_INV_5x5_Wout_Div', '25_Portfolios_BEME_INV_5x5_daily', '32_Portfolios_ME_BEME_OP_2x4x4', '32_Portfolios_ME_BEME_OP_2x4x4_Wout_Div', '32_Portfolios_ME_BEME_INV_2x4x4', '32_Portfolios_ME_BEME_INV_2x4x4_Wout_Div', '32_Portfolios_ME_OP_INV_2x4x4', '32_Portfolios_ME_OP_INV_2x4x4_Wout_Div', '6_Portfolios_ME_EP_2x3', '6_Portfolios_ME_EP_2x3_Wout_Div', '6_Portfolios_ME_CFP_2x3', '6_Portfolios_ME_CFP_2x3_Wout_Div', '6_Portfolios_ME_DP_2x3', '6_Portfolios_ME_DP_2x3_Wout_Div', '6_Portfolios_ME_Prior_12_2', '6_Portfolios_ME_Prior_12_2_Daily', '25_Portfolios_ME_Prior_12_2', '25_Portfolios_ME_Prior_12_2_Daily', '6_Portfolios_ME_Prior_1_0', '6_Portfolios_ME_Prior_1_0_Daily', '25_Portfolios_ME_Prior_1_0', '25_Portfolios_ME_Prior_1_0_Daily', '6_Portfolios_ME_Prior_60_13', '6_Portfolios_ME_Prior_60_13_Daily', '25_Portfolios_ME_Prior_60_13', '25_Portfolios_ME_Prior_60_13_Daily', '25_Portfolios_ME_AC_5x5', '25_Portfolios_ME_BETA_5x5', '25_Portfolios_ME_NI_5x5', '25_Portfolios_ME_VAR_5x5', '25_Portfolios_ME_RESVAR_5x5', 'ME_Breakpoints', 'BE-ME_Breakpoints', 'Developed_6_Portfolios_ME_BE-ME', 'Developed_6_Portfolios_ME_BE-ME_daily', 'Developed_ex_US_6_Portfolios_ME_BE-ME', 'Developed_ex_US_6_Portfolios_ME_BE-ME_daily', 'Europe_6_Portfolios_ME_BE-ME', 'Europe_6_Portfolios_ME_BE-ME_daily', 'Japan_6_Portfolios_ME_BE-ME', 'Japan_6_Portfolios_ME_BE-ME_daily', 'Asia_Pacific_ex_Japan_6_Portfolios_ME_BE-ME', 'Asia_Pacific_ex_Japan_6_Portfolios_ME_BE-ME_daily', 'North_America_6_Portfolios_ME_BE-ME', 'North_America_6_Portfolios_ME_BE-ME_daily', 'Developed_25_Portfolios_ME_BE-ME', 'Developed_25_Portfolios_ME_BE-ME_daily', 'Developed_ex_US_25_Portfolios_ME_BE-ME', 'Developed_ex_US_25_Portfolios_ME_BE-ME_daily', 'Europe_25_Portfolios_ME_BE-ME', 'Europe_25_Portfolios_ME_BE-ME_daily', 'Japan_25_Portfolios_ME_BE-ME', 'Japan_25_Portfolios_ME_BE-ME_daily', 'Asia_Pacific_ex_Japan_25_Portfolios_ME_BE-ME', 'Asia_Pacific_ex_Japan_25_Portfolios_ME_BE-ME_daily', 'North_America_25_Portfolios_ME_BE-ME', 'North_America_25_Portfolios_ME_BE-ME_daily', 'Developed_6_Portfolios_ME_OP', 'Developed_6_Portfolios_ME_OP_Daily', 'Developed_ex_US_6_Portfolios_ME_OP', 'Developed_ex_US_6_Portfolios_ME_OP_Daily', 'Europe_6_Portfolios_ME_OP', 'Europe_6_Portfolios_ME_OP_Daily', 'Japan_6_Portfolios_ME_OP', 'Japan_6_Portfolios_ME_OP_Daily', 'Asia_Pacific_ex_Japan_6_Portfolios_ME_OP', 'Asia_Pacific_ex_Japan_6_Portfolios_ME_OP_Daily', 'North_America_6_Portfolios_ME_OP', 'North_America_6_Portfolios_ME_OP_Daily', 'Developed_25_Portfolios_ME_OP', 'Developed_25_Portfolios_ME_OP_Daily', 'Developed_ex_US_25_Portfolios_ME_OP', 'Developed_ex_US_25_Portfolios_ME_OP_Daily', 'Europe_25_Portfolios_ME_OP', 'Europe_25_Portfolios_ME_OP_Daily', 'Japan_25_Portfolios_ME_OP', 'Japan_25_Portfolios_ME_OP_Daily', 'Asia_Pacific_ex_Japan_25_Portfolios_ME_OP', 'Asia_Pacific_ex_Japan_25_Portfolios_ME_OP_Daily', 'North_America_25_Portfolios_ME_OP', 'North_America_25_Portfolios_ME_OP_Daily', 'Developed_6_Portfolios_ME_INV', 'Developed_6_Portfolios_ME_INV_Daily', 'Developed_ex_US_6_Portfolios_ME_INV', 'Developed_ex_US_6_Portfolios_ME_INV_Daily', 'Europe_6_Portfolios_ME_INV', 'Europe_6_Portfolios_ME_INV_Daily', 'Japan_6_Portfolios_ME_INV', 'Japan_6_Portfolios_ME_INV_Daily', 'Asia_Pacific_ex_Japan_6_Portfolios_ME_INV', 'Asia_Pacific_ex_Japan_6_Portfolios_ME_INV_Daily', 'North_America_6_Portfolios_ME_INV', 'North_America_6_Portfolios_ME_INV_Daily', 'Developed_25_Portfolios_ME_INV', 'Developed_25_Portfolios_ME_INV_Daily', 'Developed_ex_US_25_Portfolios_ME_INV', 'Developed_ex_US_25_Portfolios_ME_INV_Daily', 'Europe_25_Portfolios_ME_INV', 'Europe_25_Portfolios_ME_INV_Daily', 'Japan_25_Portfolios_ME_INV', 'Japan_25_Portfolios_ME_INV_Daily', 'Asia_Pacific_ex_Japan_25_Portfolios_ME_INV', 'Asia_Pacific_ex_Japan_25_Portfolios_ME_INV_Daily', 'North_America_25_Portfolios_ME_INV', 'North_America_25_Portfolios_ME_INV_Daily', 'Developed_6_Portfolios_ME_Prior_12_2', 'Developed_6_Portfolios_ME_Prior_250_20_daily', 'Developed_ex_US_6_Portfolios_ME_Prior_12_2', 'Developed_ex_US_6_Portfolios_ME_Prior_250_20_daily', 'Europe_6_Portfolios_ME_Prior_12_2', 'Europe_6_Portfolios_ME_Prior_250_20_daily', 'Japan_6_Portfolios_ME_Prior_12_2', 'Japan_6_Portfolios_ME_Prior_250_20_daily', 'Asia_Pacific_ex_Japan_6_Portfolios_ME_Prior_12_2', 'Asia_Pacific_ex_Japan_6_Portfolios_ME_Prior_250_20_daily', 'North_America_6_Portfolios_ME_Prior_12_2', 'North_America_6_Portfolios_ME_Prior_250_20_daily', 'Developed_25_Portfolios_ME_Prior_12_2', 'Developed_25_Portfolios_ME_Prior_250_20_daily', 'Developed_ex_US_25_Portfolios_ME_Prior_12_2', 'Developed_ex_US_25_Portfolios_ME_Prior_250_20_daily', 'Europe_25_Portfolios_ME_Prior_12_2', 'Europe_25_Portfolios_ME_Prior_250_20_daily', 'Japan_25_Portfolios_ME_Prior_12_2', 'Japan_25_Portfolios_ME_Prior_250_20_daily', 'Asia_Pacific_ex_Japan_25_Portfolios_ME_Prior_12_2', 'Asia_Pacific_ex_Japan_25_Portfolios_ME_Prior_250_20_daily', 'North_America_25_Portfolios_ME_Prior_12_2', 'North_America_25_Portfolios_ME_Prior_250_20_daily', 'Developed_32_Portfolios_ME_BE-ME_OP_2x4x4', 'Developed_ex_US_32_Portfolios_ME_BE-ME_OP_2x4x4', 'Europe_32_Portfolios_ME_BE-ME_OP_2x4x4', 'Japan_32_Portfolios_ME_BE-ME_OP_2x4x4', 'Asia_Pacific_ex_Japan_32_Portfolios_ME_BE-ME_OP_2x4x4', 'North_America_32_Portfolios_ME_BE-ME_OP_2x4x4', 'Developed_32_Portfolios_ME_BE-ME_INV(TA)_2x4x4', 'Developed_ex_US_32_Portfolios_ME_BE-ME_INV(TA)_2x4x4', 'Europe_32_Portfolios_ME_BE-ME_INV(TA)_2x4x4', 'Japan_32_Portfolios_ME_BE-ME_INV(TA)_2x4x4', 'Asia_Pacific_ex_Japan_32_Portfolios_ME_BE-ME_INV(TA)_2x4x4', 'North_America_32_Portfolios_ME_BE-ME_INV(TA)_2x4x4', 'Developed_32_Portfolios_ME_INV(TA)_OP_2x4x4', 'Developed_ex_US_32_Portfolios_ME_INV(TA)_OP_2x4x4', 'Europe_32_Portfolios_ME_INV(TA)_OP_2x4x4', 'Japan_32_Portfolios_ME_INV(TA)_OP_2x4x4', 'Asia_Pacific_ex_Japan_32_Portfolios_ME_INV(TA)_OP_2x4x4', 'North_America_32_Portfolios_ME_INV(TA)_OP_2x4x4', 'Emerging_Markets_6_Portfolios_ME_BE-ME', 'Emerging_Markets_6_Portfolios_ME_OP', 'Emerging_Markets_6_Portfolios_ME_INV', 'Emerging_Markets_6_Portfolios_ME_Prior_12_2', 'Emerging_Markets_4_Portfolios_BE-ME_OP', 'Emerging_Markets_4_Portfolios_BE-ME_INV']\n"
     ]
    }
   ],
   "source": [
    "#df_ME = [dataset for dataset in datasets  if 'ME' in dataset and 'Europe' in dataset ]\n",
    "df_ME = [dataset for dataset in datasets  if 'ME' in dataset]\n",
    "print(df_ME)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Retrieve Monthly returns for portfolios formed on market equity"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The datareader method will return a dictionary object with a number of keys- one of them being 'DESCR' - the description of the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'dict'>\n",
      "dict_keys([0, 1, 2, 3, 4, 5, 'DESCR'])\n",
      "Portfolios Formed on ME\n",
      "-----------------------\n",
      "\n",
      "This file was created by CMPT_ME_RETS using the 202203 CRSP database. It contains value- and equal-weighted returns for size portfolios. Each record contains returns for: Negative (not used) 30% 40% 30%   5 Quintiles  10 Deciles The portfolios are constructed at the end of Jun. The annual returns are from January to December. Missing data are indicated by -99.99 or -999. Copyright 2022 Kenneth R. French\n",
      "\n",
      "  0 : Value Weight Returns -- Monthly (705 rows x 19 cols)\n",
      "  1 : Equal Weight Returns -- Monthly (705 rows x 19 cols)\n",
      "  2 : Value Weight Returns -- Annual from January to December (59 rows x 19 cols)\n",
      "  3 : Equal Weight Returns -- Annual from January to December (59 rows x 19 cols)\n",
      "  4 : Number of Firms in Portfolios (705 rows x 19 cols)\n",
      "  5 : Average Firm Size (705 rows x 19 cols)\n"
     ]
    }
   ],
   "source": [
    "ds_ME = web.DataReader('Portfolios_Formed_on_ME','famafrench', start='1963-07-01',end='2022-05-01')\n",
    "print(type(ds_ME))\n",
    "print(ds_ME.keys())\n",
    "print(ds_ME['DESCR'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>SMALL LoBM</th>\n",
       "      <th>ME1 BM2</th>\n",
       "      <th>SMALL HiBM</th>\n",
       "      <th>BIG LoBM</th>\n",
       "      <th>ME2 BM2</th>\n",
       "      <th>BIG HiBM</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1990-07</th>\n",
       "      <td>6.24</td>\n",
       "      <td>5.23</td>\n",
       "      <td>4.87</td>\n",
       "      <td>6.23</td>\n",
       "      <td>4.68</td>\n",
       "      <td>4.55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1990-08</th>\n",
       "      <td>-9.80</td>\n",
       "      <td>-10.05</td>\n",
       "      <td>-10.65</td>\n",
       "      <td>-10.46</td>\n",
       "      <td>-10.37</td>\n",
       "      <td>-10.21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1990-09</th>\n",
       "      <td>-9.99</td>\n",
       "      <td>-9.70</td>\n",
       "      <td>-10.03</td>\n",
       "      <td>-12.35</td>\n",
       "      <td>-11.87</td>\n",
       "      <td>-11.43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1990-10</th>\n",
       "      <td>4.43</td>\n",
       "      <td>5.59</td>\n",
       "      <td>4.22</td>\n",
       "      <td>7.95</td>\n",
       "      <td>8.25</td>\n",
       "      <td>5.92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1990-11</th>\n",
       "      <td>-2.29</td>\n",
       "      <td>-2.21</td>\n",
       "      <td>-2.07</td>\n",
       "      <td>-0.27</td>\n",
       "      <td>0.85</td>\n",
       "      <td>0.65</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         SMALL LoBM  ME1 BM2  SMALL HiBM  BIG LoBM  ME2 BM2  BIG HiBM\n",
       "Date                                                                 \n",
       "1990-07        6.24     5.23        4.87      6.23     4.68      4.55\n",
       "1990-08       -9.80   -10.05      -10.65    -10.46   -10.37    -10.21\n",
       "1990-09       -9.99    -9.70      -10.03    -12.35   -11.87    -11.43\n",
       "1990-10        4.43     5.59        4.22      7.95     8.25      5.92\n",
       "1990-11       -2.29    -2.21       -2.07     -0.27     0.85      0.65"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_ME[0].head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's only look at the returns for the companies with the smallest market capitalization ('Lo 10' - bottom decile) and largest market capitalization ('Hi 10'). "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Lo 10</th>\n",
       "      <th>Hi 10</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1963-07</th>\n",
       "      <td>-0.0026</td>\n",
       "      <td>0.0033</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1963-08</th>\n",
       "      <td>0.0266</td>\n",
       "      <td>0.0523</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1963-09</th>\n",
       "      <td>-0.0020</td>\n",
       "      <td>-0.0090</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1963-10</th>\n",
       "      <td>0.0071</td>\n",
       "      <td>0.0354</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1963-11</th>\n",
       "      <td>-0.0213</td>\n",
       "      <td>-0.0055</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Lo 10   Hi 10\n",
       "Date                   \n",
       "1963-07 -0.0026  0.0033\n",
       "1963-08  0.0266  0.0523\n",
       "1963-09 -0.0020 -0.0090\n",
       "1963-10  0.0071  0.0354\n",
       "1963-11 -0.0213 -0.0055"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cols = ['Lo 10', 'Hi 10']\n",
    "returns = ds_ME[0][cols]\n",
    "returns.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The data is returned in percentages and not real numbers so lets divide and plot the monthly returns - you will notice immediately that monthly returns for small caps are much more volatile "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Date'>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1152x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "returns = returns/100\n",
    "returns.head()\n",
    "returns.plot(figsize=(16,9))"
   ]
  }
 ],
 "metadata": {
  "interpreter": {
   "hash": "2d20fb8764baf2aed4f7e5be6a308e4f46097fc8cf6a471609d37d794e1984d8"
  },
  "kernelspec": {
   "display_name": "Python 3.9.7 ('trading')",
   "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": "3.9.7"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}