models.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib import cm\n",
    "import seaborn as sns\n",
    "from hmmlearn import hmm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# (1) All factor models take the top 300 liquid stocks and rank them by the factor\n",
    "# (2) Windsorize top top 10 and bottom 10 stocks (for singular factor models)\n",
    "# (3) Long/Short 50 stocks each\n",
    "# Book Value -> Book value per share to identify value stocks as a factor for alpha\n",
    "# Momentum -> Use 1 month returns as factor for alpha\n",
    "# AQR -> Multifactor model that creates a synthetic factor that weighs 30% operation margin, 40% Book Value Yield, \n",
    "#    and 30% 1 month momentum as a factor for alpha\n",
    "# Growth -> Multifactor growth model that uses idd (free cash flow per share / share market value)\n",
    "#    book value per share, 1 month momentum, and dividend per share\n",
    "spy = pd.read_csv('data/SPY_ADV.csv').drop(\"Unnamed: 0\", axis=1).drop(range(2706, 3330))\n",
    "bookvalue = pd.read_csv('data/BookValue.csv')\n",
    "momentum = pd.read_csv('data/Momentum.csv')\n",
    "aqr = pd.read_csv('data/AQR.csv')\n",
    "#inverse_bookvalue = pd.read_csv('data/Inverse_BookValue.csv')\n",
    "famafrench = pd.read_csv('data/FamaFrench.csv')\n",
    "modifiedfama = pd.read_csv('data/ModifiedFama.csv')\n",
    "carhart = pd.read_csv('data/carhart.csv')\n",
    "growth = pd.read_csv('data/Growth.csv')\n",
    "frenchgrowth = pd.read_csv('data/FrenchGrowth.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = momentum.drop(momentum.columns[[2, 3, 4]], axis=1)\n",
    "df = df.rename(columns={'Return': 'Momentum'})\n",
    "df['BookValue'] = bookvalue.iloc[:,1]\n",
    "#df['InverseBook'] = inverse_bookvalue.iloc[:,2]\n",
    "df['AQR'] = aqr.iloc[:,1]\n",
    "length = df.shape[0]\n",
    "df['SPY'] = spy.iloc[:,9]\n",
    "df['FamaFrench'] = famafrench.iloc[:, 1]\n",
    "df['Growth'] = growth.iloc[:,1]\n",
    "df['ModifiedFama'] = modifiedfama.iloc[:,1]\n",
    "df['Carhart'] = carhart.iloc[:,1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Momentum</th>\n",
       "      <th>BookValue</th>\n",
       "      <th>AQR</th>\n",
       "      <th>SPY</th>\n",
       "      <th>FamaFrench</th>\n",
       "      <th>Growth</th>\n",
       "      <th>ModifiedFama</th>\n",
       "      <th>Carhart</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2681</th>\n",
       "      <td>2017-08-25</td>\n",
       "      <td>0.340010</td>\n",
       "      <td>-0.341642</td>\n",
       "      <td>0.213778</td>\n",
       "      <td>0.233613</td>\n",
       "      <td>-0.395026</td>\n",
       "      <td>0.050292</td>\n",
       "      <td>0.394295</td>\n",
       "      <td>0.230632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2682</th>\n",
       "      <td>2017-08-28</td>\n",
       "      <td>-0.225368</td>\n",
       "      <td>0.420116</td>\n",
       "      <td>0.187518</td>\n",
       "      <td>0.004093</td>\n",
       "      <td>0.472693</td>\n",
       "      <td>0.202439</td>\n",
       "      <td>0.187487</td>\n",
       "      <td>0.033359</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2683</th>\n",
       "      <td>2017-08-29</td>\n",
       "      <td>-0.006172</td>\n",
       "      <td>-0.082503</td>\n",
       "      <td>0.241719</td>\n",
       "      <td>0.114486</td>\n",
       "      <td>-0.050875</td>\n",
       "      <td>0.114404</td>\n",
       "      <td>0.083524</td>\n",
       "      <td>0.301750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2684</th>\n",
       "      <td>2017-08-30</td>\n",
       "      <td>-0.241247</td>\n",
       "      <td>-0.089570</td>\n",
       "      <td>-0.029641</td>\n",
       "      <td>0.473755</td>\n",
       "      <td>-0.232705</td>\n",
       "      <td>0.520399</td>\n",
       "      <td>-0.364990</td>\n",
       "      <td>-0.232389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2685</th>\n",
       "      <td>2017-08-31</td>\n",
       "      <td>0.072489</td>\n",
       "      <td>-0.505501</td>\n",
       "      <td>-0.545515</td>\n",
       "      <td>0.601606</td>\n",
       "      <td>0.498591</td>\n",
       "      <td>0.890927</td>\n",
       "      <td>-0.385517</td>\n",
       "      <td>0.884612</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Date  Momentum  BookValue       AQR       SPY  FamaFrench  \\\n",
       "2681  2017-08-25   0.340010  -0.341642  0.213778  0.233613   -0.395026   \n",
       "2682  2017-08-28  -0.225368   0.420116  0.187518  0.004093    0.472693   \n",
       "2683  2017-08-29  -0.006172  -0.082503  0.241719  0.114486   -0.050875   \n",
       "2684  2017-08-30  -0.241247  -0.089570 -0.029641  0.473755   -0.232705   \n",
       "2685  2017-08-31   0.072489  -0.505501 -0.545515  0.601606    0.498591   \n",
       "\n",
       "        Growth  ModifiedFama   Carhart  \n",
       "2681  0.050292      0.394295  0.230632  \n",
       "2682  0.202439      0.187487  0.033359  \n",
       "2683  0.114404      0.083524  0.301750  \n",
       "2684  0.520399     -0.364990 -0.232389  \n",
       "2685  0.890927     -0.385517  0.884612  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "num_models = 8\n",
    "df = df[:-20]\n",
    "df.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.to_csv('data/Factors.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "returns = df.copy()\n",
    "returns['SPY'] = spy.iloc[:,9]\n",
    "for i in range(1, num_models + 1):\n",
    "    returns.iloc[0, i] = 100000\n",
    "\n",
    "for i in range(1, returns.shape[0]):\n",
    "    for j in range(1, num_models + 1):\n",
    "        returns.iloc[i, j] = returns.iloc[i-1, j] * (100 + returns.iloc[i,j])/100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\n",
       "\n",
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       "        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>Date</th>\n",
       "      <th>Momentum</th>\n",
       "      <th>BookValue</th>\n",
       "      <th>AQR</th>\n",
       "      <th>SPY</th>\n",
       "      <th>FamaFrench</th>\n",
       "      <th>Growth</th>\n",
       "      <th>ModifiedFama</th>\n",
       "      <th>Carhart</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2007-01-03</td>\n",
       "      <td>100000.000000</td>\n",
       "      <td>100000.000000</td>\n",
       "      <td>100000.000000</td>\n",
       "      <td>100000.000000</td>\n",
       "      <td>100000.000000</td>\n",
       "      <td>100000.000000</td>\n",
       "      <td>100000.000000</td>\n",
       "      <td>100000.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2007-01-04</td>\n",
       "      <td>98660.254117</td>\n",
       "      <td>99442.165201</td>\n",
       "      <td>97726.335982</td>\n",
       "      <td>100212.211226</td>\n",
       "      <td>99049.052008</td>\n",
       "      <td>98545.185972</td>\n",
       "      <td>99096.145539</td>\n",
       "      <td>98728.174262</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2007-01-05</td>\n",
       "      <td>98241.605788</td>\n",
       "      <td>98505.521767</td>\n",
       "      <td>96653.752781</td>\n",
       "      <td>99412.886730</td>\n",
       "      <td>98986.352729</td>\n",
       "      <td>97361.485924</td>\n",
       "      <td>99171.530221</td>\n",
       "      <td>98224.782135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2007-01-08</td>\n",
       "      <td>98717.963150</td>\n",
       "      <td>98474.142819</td>\n",
       "      <td>97207.341817</td>\n",
       "      <td>99872.679489</td>\n",
       "      <td>98782.479835</td>\n",
       "      <td>97563.841307</td>\n",
       "      <td>99137.072841</td>\n",
       "      <td>98366.080183</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2007-01-09</td>\n",
       "      <td>98792.407941</td>\n",
       "      <td>98168.945348</td>\n",
       "      <td>97152.167899</td>\n",
       "      <td>99787.799384</td>\n",
       "      <td>98829.352332</td>\n",
       "      <td>97959.204885</td>\n",
       "      <td>99548.140243</td>\n",
       "      <td>98480.081903</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2007-01-10</td>\n",
       "      <td>98299.598544</td>\n",
       "      <td>97511.904338</td>\n",
       "      <td>96518.275145</td>\n",
       "      <td>100120.250411</td>\n",
       "      <td>99520.715046</td>\n",
       "      <td>98278.913988</td>\n",
       "      <td>99557.585568</td>\n",
       "      <td>98640.155848</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2007-01-11</td>\n",
       "      <td>98949.333589</td>\n",
       "      <td>96486.328668</td>\n",
       "      <td>96093.146429</td>\n",
       "      <td>100558.823674</td>\n",
       "      <td>99931.910588</td>\n",
       "      <td>99357.214527</td>\n",
       "      <td>99715.354358</td>\n",
       "      <td>99128.485034</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2007-01-12</td>\n",
       "      <td>98618.132555</td>\n",
       "      <td>95857.719630</td>\n",
       "      <td>95261.969191</td>\n",
       "      <td>101322.777156</td>\n",
       "      <td>100869.604939</td>\n",
       "      <td>100467.122656</td>\n",
       "      <td>99557.933143</td>\n",
       "      <td>99699.954260</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2007-01-16</td>\n",
       "      <td>99255.169601</td>\n",
       "      <td>95725.977683</td>\n",
       "      <td>96041.101145</td>\n",
       "      <td>101124.716741</td>\n",
       "      <td>101248.715908</td>\n",
       "      <td>100460.722352</td>\n",
       "      <td>99623.035200</td>\n",
       "      <td>100435.483708</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2007-01-17</td>\n",
       "      <td>98809.064517</td>\n",
       "      <td>95599.381827</td>\n",
       "      <td>95097.734865</td>\n",
       "      <td>101167.156439</td>\n",
       "      <td>101397.641647</td>\n",
       "      <td>100434.038784</td>\n",
       "      <td>98946.271372</td>\n",
       "      <td>100194.361781</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2007-01-18</td>\n",
       "      <td>99270.973327</td>\n",
       "      <td>96075.265173</td>\n",
       "      <td>95744.470611</td>\n",
       "      <td>100827.614092</td>\n",
       "      <td>101800.018716</td>\n",
       "      <td>99785.772971</td>\n",
       "      <td>98524.393199</td>\n",
       "      <td>100446.466170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2007-01-19</td>\n",
       "      <td>97804.143597</td>\n",
       "      <td>97519.986858</td>\n",
       "      <td>95056.789844</td>\n",
       "      <td>101025.685825</td>\n",
       "      <td>100550.796747</td>\n",
       "      <td>100079.624020</td>\n",
       "      <td>97003.294010</td>\n",
       "      <td>98765.043498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2007-01-22</td>\n",
       "      <td>98517.166234</td>\n",
       "      <td>97817.004686</td>\n",
       "      <td>96417.951214</td>\n",
       "      <td>100714.444391</td>\n",
       "      <td>101126.186237</td>\n",
       "      <td>99050.002958</td>\n",
       "      <td>97408.564441</td>\n",
       "      <td>99745.448472</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2007-01-23</td>\n",
       "      <td>98387.432593</td>\n",
       "      <td>98178.104998</td>\n",
       "      <td>96723.816218</td>\n",
       "      <td>101011.535722</td>\n",
       "      <td>101192.482752</td>\n",
       "      <td>100440.871944</td>\n",
       "      <td>97671.295552</td>\n",
       "      <td>99689.755065</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2007-01-24</td>\n",
       "      <td>99281.262442</td>\n",
       "      <td>98210.986273</td>\n",
       "      <td>98341.963739</td>\n",
       "      <td>101824.999711</td>\n",
       "      <td>102190.273140</td>\n",
       "      <td>101530.822479</td>\n",
       "      <td>97679.226748</td>\n",
       "      <td>100953.115826</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2007-01-25</td>\n",
       "      <td>100006.509425</td>\n",
       "      <td>97487.276019</td>\n",
       "      <td>98712.357233</td>\n",
       "      <td>100629.553676</td>\n",
       "      <td>102548.952606</td>\n",
       "      <td>100381.669996</td>\n",
       "      <td>98139.885253</td>\n",
       "      <td>101552.651133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2007-01-26</td>\n",
       "      <td>99111.153990</td>\n",
       "      <td>97966.954250</td>\n",
       "      <td>97820.112459</td>\n",
       "      <td>100537.603471</td>\n",
       "      <td>102176.342833</td>\n",
       "      <td>100514.288287</td>\n",
       "      <td>97094.470205</td>\n",
       "      <td>100326.061221</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2007-01-29</td>\n",
       "      <td>99238.341712</td>\n",
       "      <td>97169.613036</td>\n",
       "      <td>98172.483170</td>\n",
       "      <td>100481.012962</td>\n",
       "      <td>102619.698802</td>\n",
       "      <td>101013.344422</td>\n",
       "      <td>97596.442841</td>\n",
       "      <td>100931.214073</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2007-01-30</td>\n",
       "      <td>99279.853932</td>\n",
       "      <td>97346.068113</td>\n",
       "      <td>97815.279874</td>\n",
       "      <td>101004.455012</td>\n",
       "      <td>102527.326761</td>\n",
       "      <td>101389.496923</td>\n",
       "      <td>97433.008227</td>\n",
       "      <td>100811.512061</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2007-01-31</td>\n",
       "      <td>99671.955811</td>\n",
       "      <td>97341.357887</td>\n",
       "      <td>99014.516993</td>\n",
       "      <td>101683.529097</td>\n",
       "      <td>102540.184452</td>\n",
       "      <td>102208.326368</td>\n",
       "      <td>97982.177558</td>\n",
       "      <td>101190.920936</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2007-02-01</td>\n",
       "      <td>99537.850948</td>\n",
       "      <td>96799.335066</td>\n",
       "      <td>98513.183780</td>\n",
       "      <td>102291.862570</td>\n",
       "      <td>103681.995981</td>\n",
       "      <td>103187.238946</td>\n",
       "      <td>97262.683583</td>\n",
       "      <td>101884.638571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2007-02-02</td>\n",
       "      <td>99263.826694</td>\n",
       "      <td>96802.192754</td>\n",
       "      <td>98432.833811</td>\n",
       "      <td>102433.333184</td>\n",
       "      <td>104027.977486</td>\n",
       "      <td>102608.503453</td>\n",
       "      <td>97191.623163</td>\n",
       "      <td>102088.538148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2007-02-05</td>\n",
       "      <td>98880.430057</td>\n",
       "      <td>96788.034663</td>\n",
       "      <td>98454.338169</td>\n",
       "      <td>102461.633390</td>\n",
       "      <td>104409.286526</td>\n",
       "      <td>102005.718546</td>\n",
       "      <td>97201.146588</td>\n",
       "      <td>102070.602399</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2007-02-06</td>\n",
       "      <td>99104.124179</td>\n",
       "      <td>96232.217829</td>\n",
       "      <td>98630.963193</td>\n",
       "      <td>102489.922985</td>\n",
       "      <td>104037.646752</td>\n",
       "      <td>101862.592279</td>\n",
       "      <td>97174.107529</td>\n",
       "      <td>102361.249047</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>2007-02-07</td>\n",
       "      <td>98622.495540</td>\n",
       "      <td>96382.359914</td>\n",
       "      <td>98251.988292</td>\n",
       "      <td>102716.285022</td>\n",
       "      <td>104285.312601</td>\n",
       "      <td>102180.083197</td>\n",
       "      <td>96968.900489</td>\n",
       "      <td>102312.127733</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2007-02-08</td>\n",
       "      <td>98309.106681</td>\n",
       "      <td>96225.987295</td>\n",
       "      <td>97814.165693</td>\n",
       "      <td>102581.883801</td>\n",
       "      <td>103958.408438</td>\n",
       "      <td>102236.496071</td>\n",
       "      <td>96986.756058</td>\n",
       "      <td>101988.714891</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>2007-02-09</td>\n",
       "      <td>98396.117037</td>\n",
       "      <td>95875.561542</td>\n",
       "      <td>97953.927043</td>\n",
       "      <td>101817.929611</td>\n",
       "      <td>103530.991809</td>\n",
       "      <td>100955.743074</td>\n",
       "      <td>97249.880822</td>\n",
       "      <td>101801.383896</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>2007-02-12</td>\n",
       "      <td>98297.025030</td>\n",
       "      <td>96277.045809</td>\n",
       "      <td>98327.086448</td>\n",
       "      <td>101471.317871</td>\n",
       "      <td>102786.242137</td>\n",
       "      <td>100458.135268</td>\n",
       "      <td>97472.637809</td>\n",
       "      <td>101052.723906</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>2007-02-13</td>\n",
       "      <td>98340.513136</td>\n",
       "      <td>96685.614947</td>\n",
       "      <td>97964.799210</td>\n",
       "      <td>102327.232876</td>\n",
       "      <td>102628.111838</td>\n",
       "      <td>101350.048865</td>\n",
       "      <td>97762.179267</td>\n",
       "      <td>100932.891521</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>2007-02-14</td>\n",
       "      <td>98110.487134</td>\n",
       "      <td>96504.804762</td>\n",
       "      <td>98390.114155</td>\n",
       "      <td>102999.226250</td>\n",
       "      <td>102939.720005</td>\n",
       "      <td>102119.166503</td>\n",
       "      <td>97782.015640</td>\n",
       "      <td>101409.721192</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2656</th>\n",
       "      <td>2017-07-21</td>\n",
       "      <td>67273.032607</td>\n",
       "      <td>30311.240419</td>\n",
       "      <td>52341.665987</td>\n",
       "      <td>174633.949022</td>\n",
       "      <td>130213.405854</td>\n",
       "      <td>393900.070424</td>\n",
       "      <td>135792.350467</td>\n",
       "      <td>77890.609170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2657</th>\n",
       "      <td>2017-07-24</td>\n",
       "      <td>67073.240778</td>\n",
       "      <td>30337.292213</td>\n",
       "      <td>52268.217223</td>\n",
       "      <td>174591.508615</td>\n",
       "      <td>130338.180689</td>\n",
       "      <td>394072.274687</td>\n",
       "      <td>135473.965277</td>\n",
       "      <td>77993.873302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2658</th>\n",
       "      <td>2017-07-25</td>\n",
       "      <td>67328.502221</td>\n",
       "      <td>30325.101412</td>\n",
       "      <td>52186.526758</td>\n",
       "      <td>175015.920458</td>\n",
       "      <td>130360.828468</td>\n",
       "      <td>396444.889253</td>\n",
       "      <td>135300.633710</td>\n",
       "      <td>78284.235002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2659</th>\n",
       "      <td>2017-07-26</td>\n",
       "      <td>66306.797895</td>\n",
       "      <td>30263.313777</td>\n",
       "      <td>52123.267705</td>\n",
       "      <td>175022.990558</td>\n",
       "      <td>130593.874216</td>\n",
       "      <td>392510.564906</td>\n",
       "      <td>135915.363009</td>\n",
       "      <td>77498.963542</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2660</th>\n",
       "      <td>2017-07-27</td>\n",
       "      <td>66469.901656</td>\n",
       "      <td>30116.303601</td>\n",
       "      <td>52073.586018</td>\n",
       "      <td>174860.299740</td>\n",
       "      <td>130488.941372</td>\n",
       "      <td>389267.979868</td>\n",
       "      <td>136043.185184</td>\n",
       "      <td>77504.753596</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2661</th>\n",
       "      <td>2017-07-28</td>\n",
       "      <td>65582.578166</td>\n",
       "      <td>30078.929746</td>\n",
       "      <td>51737.721919</td>\n",
       "      <td>174655.169225</td>\n",
       "      <td>131033.347214</td>\n",
       "      <td>390043.120607</td>\n",
       "      <td>134884.704992</td>\n",
       "      <td>76824.344949</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2662</th>\n",
       "      <td>2017-07-31</td>\n",
       "      <td>65709.057778</td>\n",
       "      <td>30242.096110</td>\n",
       "      <td>51723.056435</td>\n",
       "      <td>174556.138309</td>\n",
       "      <td>130733.638212</td>\n",
       "      <td>389923.757449</td>\n",
       "      <td>134147.081013</td>\n",
       "      <td>76788.068310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2663</th>\n",
       "      <td>2017-08-01</td>\n",
       "      <td>64971.591849</td>\n",
       "      <td>30334.664417</td>\n",
       "      <td>51680.474516</td>\n",
       "      <td>174945.190456</td>\n",
       "      <td>130290.662915</td>\n",
       "      <td>392739.978535</td>\n",
       "      <td>133548.355213</td>\n",
       "      <td>76194.485055</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2664</th>\n",
       "      <td>2017-08-02</td>\n",
       "      <td>64979.135104</td>\n",
       "      <td>30469.621618</td>\n",
       "      <td>51566.145480</td>\n",
       "      <td>175030.070561</td>\n",
       "      <td>130132.935231</td>\n",
       "      <td>389280.929010</td>\n",
       "      <td>133427.615201</td>\n",
       "      <td>76154.443066</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2665</th>\n",
       "      <td>2017-08-03</td>\n",
       "      <td>64959.894978</td>\n",
       "      <td>30698.126143</td>\n",
       "      <td>51646.809884</td>\n",
       "      <td>174690.539531</td>\n",
       "      <td>129294.105215</td>\n",
       "      <td>387599.120029</td>\n",
       "      <td>132932.949484</td>\n",
       "      <td>75787.664016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2666</th>\n",
       "      <td>2017-08-04</td>\n",
       "      <td>65398.143230</td>\n",
       "      <td>30625.805566</td>\n",
       "      <td>51929.784461</td>\n",
       "      <td>175008.851065</td>\n",
       "      <td>131126.360002</td>\n",
       "      <td>383857.014988</td>\n",
       "      <td>132468.849043</td>\n",
       "      <td>76568.907518</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2667</th>\n",
       "      <td>2017-08-07</td>\n",
       "      <td>65209.412299</td>\n",
       "      <td>30397.405285</td>\n",
       "      <td>51457.544595</td>\n",
       "      <td>175334.231992</td>\n",
       "      <td>131739.437686</td>\n",
       "      <td>384967.782246</td>\n",
       "      <td>132826.955011</td>\n",
       "      <td>76920.296797</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2668</th>\n",
       "      <td>2017-08-08</td>\n",
       "      <td>65260.760017</td>\n",
       "      <td>30197.446130</td>\n",
       "      <td>51378.356440</td>\n",
       "      <td>174902.740147</td>\n",
       "      <td>132179.987026</td>\n",
       "      <td>382951.353033</td>\n",
       "      <td>133253.007911</td>\n",
       "      <td>77316.812425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2669</th>\n",
       "      <td>2017-08-09</td>\n",
       "      <td>65504.129758</td>\n",
       "      <td>30415.860785</td>\n",
       "      <td>51468.874904</td>\n",
       "      <td>174895.670047</td>\n",
       "      <td>131553.811337</td>\n",
       "      <td>382555.980458</td>\n",
       "      <td>132721.522136</td>\n",
       "      <td>77019.103745</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2670</th>\n",
       "      <td>2017-08-10</td>\n",
       "      <td>65617.581015</td>\n",
       "      <td>30408.154405</td>\n",
       "      <td>51422.254944</td>\n",
       "      <td>172426.967264</td>\n",
       "      <td>130968.530305</td>\n",
       "      <td>374267.936572</td>\n",
       "      <td>132205.720488</td>\n",
       "      <td>76742.681862</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2671</th>\n",
       "      <td>2017-08-11</td>\n",
       "      <td>65532.310686</td>\n",
       "      <td>30546.244663</td>\n",
       "      <td>51626.565566</td>\n",
       "      <td>172681.618189</td>\n",
       "      <td>129917.384238</td>\n",
       "      <td>375308.920528</td>\n",
       "      <td>132108.405814</td>\n",
       "      <td>76085.714726</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2672</th>\n",
       "      <td>2017-08-14</td>\n",
       "      <td>65025.920442</td>\n",
       "      <td>30395.766813</td>\n",
       "      <td>51349.418781</td>\n",
       "      <td>174393.436882</td>\n",
       "      <td>130879.514673</td>\n",
       "      <td>379985.197951</td>\n",
       "      <td>131486.781841</td>\n",
       "      <td>76338.259563</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2673</th>\n",
       "      <td>2017-08-15</td>\n",
       "      <td>65210.806387</td>\n",
       "      <td>30360.193307</td>\n",
       "      <td>51261.555024</td>\n",
       "      <td>174372.217386</td>\n",
       "      <td>131093.406215</td>\n",
       "      <td>380625.961485</td>\n",
       "      <td>130868.430885</td>\n",
       "      <td>76561.446146</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2674</th>\n",
       "      <td>2017-08-16</td>\n",
       "      <td>65679.273904</td>\n",
       "      <td>30388.312097</td>\n",
       "      <td>51503.324991</td>\n",
       "      <td>174676.388720</td>\n",
       "      <td>129849.721265</td>\n",
       "      <td>380922.083052</td>\n",
       "      <td>131475.997492</td>\n",
       "      <td>76547.812406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2675</th>\n",
       "      <td>2017-08-17</td>\n",
       "      <td>65514.506583</td>\n",
       "      <td>30247.379943</td>\n",
       "      <td>51378.989093</td>\n",
       "      <td>171953.034305</td>\n",
       "      <td>129942.421038</td>\n",
       "      <td>375045.116771</td>\n",
       "      <td>131433.543090</td>\n",
       "      <td>76527.343286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2676</th>\n",
       "      <td>2017-08-18</td>\n",
       "      <td>65502.211743</td>\n",
       "      <td>30275.880964</td>\n",
       "      <td>51452.341984</td>\n",
       "      <td>171684.243888</td>\n",
       "      <td>129722.980482</td>\n",
       "      <td>377137.293656</td>\n",
       "      <td>130965.240731</td>\n",
       "      <td>76405.514567</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2677</th>\n",
       "      <td>2017-08-21</td>\n",
       "      <td>65118.021580</td>\n",
       "      <td>30281.368071</td>\n",
       "      <td>51460.061100</td>\n",
       "      <td>171818.633791</td>\n",
       "      <td>128875.935868</td>\n",
       "      <td>377163.581352</td>\n",
       "      <td>131070.098741</td>\n",
       "      <td>76106.650630</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2678</th>\n",
       "      <td>2017-08-22</td>\n",
       "      <td>65078.103230</td>\n",
       "      <td>30258.052961</td>\n",
       "      <td>51534.306644</td>\n",
       "      <td>173615.343199</td>\n",
       "      <td>128229.588452</td>\n",
       "      <td>381913.925089</td>\n",
       "      <td>131141.343988</td>\n",
       "      <td>75925.682358</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2679</th>\n",
       "      <td>2017-08-23</td>\n",
       "      <td>64976.615526</td>\n",
       "      <td>30146.893016</td>\n",
       "      <td>51411.541756</td>\n",
       "      <td>172992.860331</td>\n",
       "      <td>128686.343067</td>\n",
       "      <td>382623.814883</td>\n",
       "      <td>131284.230387</td>\n",
       "      <td>76060.613960</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2680</th>\n",
       "      <td>2017-08-24</td>\n",
       "      <td>64923.012557</td>\n",
       "      <td>30056.183624</td>\n",
       "      <td>51386.298668</td>\n",
       "      <td>172589.667984</td>\n",
       "      <td>128223.617407</td>\n",
       "      <td>383880.978489</td>\n",
       "      <td>131816.944470</td>\n",
       "      <td>75489.668748</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2681</th>\n",
       "      <td>2017-08-25</td>\n",
       "      <td>65143.757472</td>\n",
       "      <td>29953.499220</td>\n",
       "      <td>51496.151332</td>\n",
       "      <td>172992.860331</td>\n",
       "      <td>127717.100226</td>\n",
       "      <td>384074.038347</td>\n",
       "      <td>132336.692368</td>\n",
       "      <td>75663.772188</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2682</th>\n",
       "      <td>2017-08-28</td>\n",
       "      <td>64996.943980</td>\n",
       "      <td>30079.338651</td>\n",
       "      <td>51592.716094</td>\n",
       "      <td>172999.940334</td>\n",
       "      <td>128320.810478</td>\n",
       "      <td>384851.553060</td>\n",
       "      <td>132584.806966</td>\n",
       "      <td>75689.012490</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2683</th>\n",
       "      <td>2017-08-29</td>\n",
       "      <td>64992.932053</td>\n",
       "      <td>30054.522276</td>\n",
       "      <td>51717.425448</td>\n",
       "      <td>173198.001457</td>\n",
       "      <td>128255.527034</td>\n",
       "      <td>385291.838901</td>\n",
       "      <td>132695.547589</td>\n",
       "      <td>75917.403767</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2684</th>\n",
       "      <td>2017-08-30</td>\n",
       "      <td>64836.138539</td>\n",
       "      <td>30027.602344</td>\n",
       "      <td>51702.095637</td>\n",
       "      <td>174018.535546</td>\n",
       "      <td>127957.069932</td>\n",
       "      <td>387296.895193</td>\n",
       "      <td>132211.221534</td>\n",
       "      <td>75740.979907</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2685</th>\n",
       "      <td>2017-08-31</td>\n",
       "      <td>64883.137454</td>\n",
       "      <td>29875.812376</td>\n",
       "      <td>51420.053039</td>\n",
       "      <td>175065.440867</td>\n",
       "      <td>128595.052416</td>\n",
       "      <td>390747.427691</td>\n",
       "      <td>131701.525287</td>\n",
       "      <td>76410.993739</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2686 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             Date       Momentum      BookValue            AQR            SPY  \\\n",
       "0     2007-01-03   100000.000000  100000.000000  100000.000000  100000.000000   \n",
       "1     2007-01-04    98660.254117   99442.165201   97726.335982  100212.211226   \n",
       "2     2007-01-05    98241.605788   98505.521767   96653.752781   99412.886730   \n",
       "3     2007-01-08    98717.963150   98474.142819   97207.341817   99872.679489   \n",
       "4     2007-01-09    98792.407941   98168.945348   97152.167899   99787.799384   \n",
       "5     2007-01-10    98299.598544   97511.904338   96518.275145  100120.250411   \n",
       "6     2007-01-11    98949.333589   96486.328668   96093.146429  100558.823674   \n",
       "7     2007-01-12    98618.132555   95857.719630   95261.969191  101322.777156   \n",
       "8     2007-01-16    99255.169601   95725.977683   96041.101145  101124.716741   \n",
       "9     2007-01-17    98809.064517   95599.381827   95097.734865  101167.156439   \n",
       "10    2007-01-18    99270.973327   96075.265173   95744.470611  100827.614092   \n",
       "11    2007-01-19    97804.143597   97519.986858   95056.789844  101025.685825   \n",
       "12    2007-01-22    98517.166234   97817.004686   96417.951214  100714.444391   \n",
       "13    2007-01-23    98387.432593   98178.104998   96723.816218  101011.535722   \n",
       "14    2007-01-24    99281.262442   98210.986273   98341.963739  101824.999711   \n",
       "15    2007-01-25   100006.509425   97487.276019   98712.357233  100629.553676   \n",
       "16    2007-01-26    99111.153990   97966.954250   97820.112459  100537.603471   \n",
       "17    2007-01-29    99238.341712   97169.613036   98172.483170  100481.012962   \n",
       "18    2007-01-30    99279.853932   97346.068113   97815.279874  101004.455012   \n",
       "19    2007-01-31    99671.955811   97341.357887   99014.516993  101683.529097   \n",
       "20    2007-02-01    99537.850948   96799.335066   98513.183780  102291.862570   \n",
       "21    2007-02-02    99263.826694   96802.192754   98432.833811  102433.333184   \n",
       "22    2007-02-05    98880.430057   96788.034663   98454.338169  102461.633390   \n",
       "23    2007-02-06    99104.124179   96232.217829   98630.963193  102489.922985   \n",
       "24    2007-02-07    98622.495540   96382.359914   98251.988292  102716.285022   \n",
       "25    2007-02-08    98309.106681   96225.987295   97814.165693  102581.883801   \n",
       "26    2007-02-09    98396.117037   95875.561542   97953.927043  101817.929611   \n",
       "27    2007-02-12    98297.025030   96277.045809   98327.086448  101471.317871   \n",
       "28    2007-02-13    98340.513136   96685.614947   97964.799210  102327.232876   \n",
       "29    2007-02-14    98110.487134   96504.804762   98390.114155  102999.226250   \n",
       "...           ...            ...            ...            ...            ...   \n",
       "2656  2017-07-21    67273.032607   30311.240419   52341.665987  174633.949022   \n",
       "2657  2017-07-24    67073.240778   30337.292213   52268.217223  174591.508615   \n",
       "2658  2017-07-25    67328.502221   30325.101412   52186.526758  175015.920458   \n",
       "2659  2017-07-26    66306.797895   30263.313777   52123.267705  175022.990558   \n",
       "2660  2017-07-27    66469.901656   30116.303601   52073.586018  174860.299740   \n",
       "2661  2017-07-28    65582.578166   30078.929746   51737.721919  174655.169225   \n",
       "2662  2017-07-31    65709.057778   30242.096110   51723.056435  174556.138309   \n",
       "2663  2017-08-01    64971.591849   30334.664417   51680.474516  174945.190456   \n",
       "2664  2017-08-02    64979.135104   30469.621618   51566.145480  175030.070561   \n",
       "2665  2017-08-03    64959.894978   30698.126143   51646.809884  174690.539531   \n",
       "2666  2017-08-04    65398.143230   30625.805566   51929.784461  175008.851065   \n",
       "2667  2017-08-07    65209.412299   30397.405285   51457.544595  175334.231992   \n",
       "2668  2017-08-08    65260.760017   30197.446130   51378.356440  174902.740147   \n",
       "2669  2017-08-09    65504.129758   30415.860785   51468.874904  174895.670047   \n",
       "2670  2017-08-10    65617.581015   30408.154405   51422.254944  172426.967264   \n",
       "2671  2017-08-11    65532.310686   30546.244663   51626.565566  172681.618189   \n",
       "2672  2017-08-14    65025.920442   30395.766813   51349.418781  174393.436882   \n",
       "2673  2017-08-15    65210.806387   30360.193307   51261.555024  174372.217386   \n",
       "2674  2017-08-16    65679.273904   30388.312097   51503.324991  174676.388720   \n",
       "2675  2017-08-17    65514.506583   30247.379943   51378.989093  171953.034305   \n",
       "2676  2017-08-18    65502.211743   30275.880964   51452.341984  171684.243888   \n",
       "2677  2017-08-21    65118.021580   30281.368071   51460.061100  171818.633791   \n",
       "2678  2017-08-22    65078.103230   30258.052961   51534.306644  173615.343199   \n",
       "2679  2017-08-23    64976.615526   30146.893016   51411.541756  172992.860331   \n",
       "2680  2017-08-24    64923.012557   30056.183624   51386.298668  172589.667984   \n",
       "2681  2017-08-25    65143.757472   29953.499220   51496.151332  172992.860331   \n",
       "2682  2017-08-28    64996.943980   30079.338651   51592.716094  172999.940334   \n",
       "2683  2017-08-29    64992.932053   30054.522276   51717.425448  173198.001457   \n",
       "2684  2017-08-30    64836.138539   30027.602344   51702.095637  174018.535546   \n",
       "2685  2017-08-31    64883.137454   29875.812376   51420.053039  175065.440867   \n",
       "\n",
       "         FamaFrench         Growth   ModifiedFama        Carhart  \n",
       "0     100000.000000  100000.000000  100000.000000  100000.000000  \n",
       "1      99049.052008   98545.185972   99096.145539   98728.174262  \n",
       "2      98986.352729   97361.485924   99171.530221   98224.782135  \n",
       "3      98782.479835   97563.841307   99137.072841   98366.080183  \n",
       "4      98829.352332   97959.204885   99548.140243   98480.081903  \n",
       "5      99520.715046   98278.913988   99557.585568   98640.155848  \n",
       "6      99931.910588   99357.214527   99715.354358   99128.485034  \n",
       "7     100869.604939  100467.122656   99557.933143   99699.954260  \n",
       "8     101248.715908  100460.722352   99623.035200  100435.483708  \n",
       "9     101397.641647  100434.038784   98946.271372  100194.361781  \n",
       "10    101800.018716   99785.772971   98524.393199  100446.466170  \n",
       "11    100550.796747  100079.624020   97003.294010   98765.043498  \n",
       "12    101126.186237   99050.002958   97408.564441   99745.448472  \n",
       "13    101192.482752  100440.871944   97671.295552   99689.755065  \n",
       "14    102190.273140  101530.822479   97679.226748  100953.115826  \n",
       "15    102548.952606  100381.669996   98139.885253  101552.651133  \n",
       "16    102176.342833  100514.288287   97094.470205  100326.061221  \n",
       "17    102619.698802  101013.344422   97596.442841  100931.214073  \n",
       "18    102527.326761  101389.496923   97433.008227  100811.512061  \n",
       "19    102540.184452  102208.326368   97982.177558  101190.920936  \n",
       "20    103681.995981  103187.238946   97262.683583  101884.638571  \n",
       "21    104027.977486  102608.503453   97191.623163  102088.538148  \n",
       "22    104409.286526  102005.718546   97201.146588  102070.602399  \n",
       "23    104037.646752  101862.592279   97174.107529  102361.249047  \n",
       "24    104285.312601  102180.083197   96968.900489  102312.127733  \n",
       "25    103958.408438  102236.496071   96986.756058  101988.714891  \n",
       "26    103530.991809  100955.743074   97249.880822  101801.383896  \n",
       "27    102786.242137  100458.135268   97472.637809  101052.723906  \n",
       "28    102628.111838  101350.048865   97762.179267  100932.891521  \n",
       "29    102939.720005  102119.166503   97782.015640  101409.721192  \n",
       "...             ...            ...            ...            ...  \n",
       "2656  130213.405854  393900.070424  135792.350467   77890.609170  \n",
       "2657  130338.180689  394072.274687  135473.965277   77993.873302  \n",
       "2658  130360.828468  396444.889253  135300.633710   78284.235002  \n",
       "2659  130593.874216  392510.564906  135915.363009   77498.963542  \n",
       "2660  130488.941372  389267.979868  136043.185184   77504.753596  \n",
       "2661  131033.347214  390043.120607  134884.704992   76824.344949  \n",
       "2662  130733.638212  389923.757449  134147.081013   76788.068310  \n",
       "2663  130290.662915  392739.978535  133548.355213   76194.485055  \n",
       "2664  130132.935231  389280.929010  133427.615201   76154.443066  \n",
       "2665  129294.105215  387599.120029  132932.949484   75787.664016  \n",
       "2666  131126.360002  383857.014988  132468.849043   76568.907518  \n",
       "2667  131739.437686  384967.782246  132826.955011   76920.296797  \n",
       "2668  132179.987026  382951.353033  133253.007911   77316.812425  \n",
       "2669  131553.811337  382555.980458  132721.522136   77019.103745  \n",
       "2670  130968.530305  374267.936572  132205.720488   76742.681862  \n",
       "2671  129917.384238  375308.920528  132108.405814   76085.714726  \n",
       "2672  130879.514673  379985.197951  131486.781841   76338.259563  \n",
       "2673  131093.406215  380625.961485  130868.430885   76561.446146  \n",
       "2674  129849.721265  380922.083052  131475.997492   76547.812406  \n",
       "2675  129942.421038  375045.116771  131433.543090   76527.343286  \n",
       "2676  129722.980482  377137.293656  130965.240731   76405.514567  \n",
       "2677  128875.935868  377163.581352  131070.098741   76106.650630  \n",
       "2678  128229.588452  381913.925089  131141.343988   75925.682358  \n",
       "2679  128686.343067  382623.814883  131284.230387   76060.613960  \n",
       "2680  128223.617407  383880.978489  131816.944470   75489.668748  \n",
       "2681  127717.100226  384074.038347  132336.692368   75663.772188  \n",
       "2682  128320.810478  384851.553060  132584.806966   75689.012490  \n",
       "2683  128255.527034  385291.838901  132695.547589   75917.403767  \n",
       "2684  127957.069932  387296.895193  132211.221534   75740.979907  \n",
       "2685  128595.052416  390747.427691  131701.525287   76410.993739  \n",
       "\n",
       "[2686 rows x 9 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "returns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_style(\"darkgrid\")\n",
    "plot = plt.figure(figsize=(20,10)) \n",
    "#plt.plot(returns.iloc[:,1], label=\"Momentum\",)\n",
    "#plt.plot(returns.iloc[:,2], label=\"Book Value\",)\n",
    "plt.plot(returns.iloc[:,3], label=\"AQR\",)\n",
    "plt.plot(returns.iloc[:,4], label=\"SPY\",)\n",
    "plt.plot(returns.iloc[:,5], label=\"Fama French\",)\n",
    "plt.plot(returns.iloc[:,6], label=\"Growth\")\n",
    "plt.plot(returns.iloc[:,7], label=\"Modified Fama French\")\n",
    "plt.plot(returns.iloc[:,8], label=\"Carhart\")\n",
    "plot.legend(loc=2, prop={'size': 15})\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "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": "3.8.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}