FRA Project B- Market Risk .ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "9ce9bc32",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "color = sns.color_palette()\n",
    "import sklearn.metrics as metrics\n",
    "import warnings\n",
    "warnings.filterwarnings (\"ignore\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "6cc29580",
   "metadata": {},
   "outputs": [],
   "source": [
    "stock_df = pd.read_csv('Part B- Market+Risk+Dataset.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "a42b3cdb",
   "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>Infosys</th>\n",
       "      <th>Indian Hotel</th>\n",
       "      <th>Mahindra &amp; Mahindra</th>\n",
       "      <th>Axis Bank</th>\n",
       "      <th>SAIL</th>\n",
       "      <th>Shree Cement</th>\n",
       "      <th>Sun Pharma</th>\n",
       "      <th>Jindal Steel</th>\n",
       "      <th>Idea Vodafone</th>\n",
       "      <th>Jet Airways</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>31-03-2014</td>\n",
       "      <td>264</td>\n",
       "      <td>69</td>\n",
       "      <td>455</td>\n",
       "      <td>263</td>\n",
       "      <td>68</td>\n",
       "      <td>5543</td>\n",
       "      <td>555</td>\n",
       "      <td>298</td>\n",
       "      <td>83</td>\n",
       "      <td>278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>07-04-2014</td>\n",
       "      <td>257</td>\n",
       "      <td>68</td>\n",
       "      <td>458</td>\n",
       "      <td>276</td>\n",
       "      <td>70</td>\n",
       "      <td>5728</td>\n",
       "      <td>610</td>\n",
       "      <td>279</td>\n",
       "      <td>84</td>\n",
       "      <td>303</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>14-04-2014</td>\n",
       "      <td>254</td>\n",
       "      <td>68</td>\n",
       "      <td>454</td>\n",
       "      <td>270</td>\n",
       "      <td>68</td>\n",
       "      <td>5649</td>\n",
       "      <td>607</td>\n",
       "      <td>279</td>\n",
       "      <td>83</td>\n",
       "      <td>280</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>21-04-2014</td>\n",
       "      <td>253</td>\n",
       "      <td>68</td>\n",
       "      <td>488</td>\n",
       "      <td>283</td>\n",
       "      <td>68</td>\n",
       "      <td>5692</td>\n",
       "      <td>604</td>\n",
       "      <td>274</td>\n",
       "      <td>83</td>\n",
       "      <td>282</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>28-04-2014</td>\n",
       "      <td>256</td>\n",
       "      <td>65</td>\n",
       "      <td>482</td>\n",
       "      <td>282</td>\n",
       "      <td>63</td>\n",
       "      <td>5582</td>\n",
       "      <td>611</td>\n",
       "      <td>238</td>\n",
       "      <td>79</td>\n",
       "      <td>243</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Date  Infosys  Indian Hotel  Mahindra & Mahindra  Axis Bank  SAIL  \\\n",
       "0  31-03-2014      264            69                  455        263    68   \n",
       "1  07-04-2014      257            68                  458        276    70   \n",
       "2  14-04-2014      254            68                  454        270    68   \n",
       "3  21-04-2014      253            68                  488        283    68   \n",
       "4  28-04-2014      256            65                  482        282    63   \n",
       "\n",
       "   Shree Cement  Sun Pharma  Jindal Steel  Idea Vodafone  Jet Airways  \n",
       "0          5543         555           298             83          278  \n",
       "1          5728         610           279             84          303  \n",
       "2          5649         607           279             83          280  \n",
       "3          5692         604           274             83          282  \n",
       "4          5582         611           238             79          243  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stock_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "6670a8a2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(314, 11)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stock_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "4038771a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 314 entries, 0 to 313\n",
      "Data columns (total 11 columns):\n",
      " #   Column               Non-Null Count  Dtype \n",
      "---  ------               --------------  ----- \n",
      " 0   Date                 314 non-null    object\n",
      " 1   Infosys              314 non-null    int64 \n",
      " 2   Indian Hotel         314 non-null    int64 \n",
      " 3   Mahindra & Mahindra  314 non-null    int64 \n",
      " 4   Axis Bank            314 non-null    int64 \n",
      " 5   SAIL                 314 non-null    int64 \n",
      " 6   Shree Cement         314 non-null    int64 \n",
      " 7   Sun Pharma           314 non-null    int64 \n",
      " 8   Jindal Steel         314 non-null    int64 \n",
      " 9   Idea Vodafone        314 non-null    int64 \n",
      " 10  Jet Airways          314 non-null    int64 \n",
      "dtypes: int64(10), object(1)\n",
      "memory usage: 27.1+ KB\n"
     ]
    }
   ],
   "source": [
    "stock_df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "6c9633ca",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Infosys</th>\n",
       "      <th>Indian Hotel</th>\n",
       "      <th>Mahindra &amp; Mahindra</th>\n",
       "      <th>Axis Bank</th>\n",
       "      <th>SAIL</th>\n",
       "      <th>Shree Cement</th>\n",
       "      <th>Sun Pharma</th>\n",
       "      <th>Jindal Steel</th>\n",
       "      <th>Idea Vodafone</th>\n",
       "      <th>Jet Airways</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>314.000000</td>\n",
       "      <td>314.000000</td>\n",
       "      <td>314.000000</td>\n",
       "      <td>314.000000</td>\n",
       "      <td>314.000000</td>\n",
       "      <td>314.000000</td>\n",
       "      <td>314.000000</td>\n",
       "      <td>314.000000</td>\n",
       "      <td>314.000000</td>\n",
       "      <td>314.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>511.340764</td>\n",
       "      <td>114.560510</td>\n",
       "      <td>636.678344</td>\n",
       "      <td>540.742038</td>\n",
       "      <td>59.095541</td>\n",
       "      <td>14806.410828</td>\n",
       "      <td>633.468153</td>\n",
       "      <td>147.627389</td>\n",
       "      <td>53.713376</td>\n",
       "      <td>372.659236</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>135.952051</td>\n",
       "      <td>22.509732</td>\n",
       "      <td>102.879975</td>\n",
       "      <td>115.835569</td>\n",
       "      <td>15.810493</td>\n",
       "      <td>4288.275085</td>\n",
       "      <td>171.855893</td>\n",
       "      <td>65.879195</td>\n",
       "      <td>31.248985</td>\n",
       "      <td>202.262668</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>234.000000</td>\n",
       "      <td>64.000000</td>\n",
       "      <td>284.000000</td>\n",
       "      <td>263.000000</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>5543.000000</td>\n",
       "      <td>338.000000</td>\n",
       "      <td>53.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>14.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>424.000000</td>\n",
       "      <td>96.000000</td>\n",
       "      <td>572.000000</td>\n",
       "      <td>470.500000</td>\n",
       "      <td>47.000000</td>\n",
       "      <td>10952.250000</td>\n",
       "      <td>478.500000</td>\n",
       "      <td>88.250000</td>\n",
       "      <td>25.250000</td>\n",
       "      <td>243.250000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>466.500000</td>\n",
       "      <td>115.000000</td>\n",
       "      <td>625.000000</td>\n",
       "      <td>528.000000</td>\n",
       "      <td>57.000000</td>\n",
       "      <td>16018.500000</td>\n",
       "      <td>614.000000</td>\n",
       "      <td>142.500000</td>\n",
       "      <td>53.000000</td>\n",
       "      <td>376.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>630.750000</td>\n",
       "      <td>134.000000</td>\n",
       "      <td>678.000000</td>\n",
       "      <td>605.250000</td>\n",
       "      <td>71.750000</td>\n",
       "      <td>17773.250000</td>\n",
       "      <td>785.000000</td>\n",
       "      <td>182.750000</td>\n",
       "      <td>82.000000</td>\n",
       "      <td>534.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>810.000000</td>\n",
       "      <td>157.000000</td>\n",
       "      <td>956.000000</td>\n",
       "      <td>808.000000</td>\n",
       "      <td>104.000000</td>\n",
       "      <td>24806.000000</td>\n",
       "      <td>1089.000000</td>\n",
       "      <td>338.000000</td>\n",
       "      <td>117.000000</td>\n",
       "      <td>871.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Infosys  Indian Hotel  Mahindra & Mahindra   Axis Bank        SAIL  \\\n",
       "count  314.000000    314.000000           314.000000  314.000000  314.000000   \n",
       "mean   511.340764    114.560510           636.678344  540.742038   59.095541   \n",
       "std    135.952051     22.509732           102.879975  115.835569   15.810493   \n",
       "min    234.000000     64.000000           284.000000  263.000000   21.000000   \n",
       "25%    424.000000     96.000000           572.000000  470.500000   47.000000   \n",
       "50%    466.500000    115.000000           625.000000  528.000000   57.000000   \n",
       "75%    630.750000    134.000000           678.000000  605.250000   71.750000   \n",
       "max    810.000000    157.000000           956.000000  808.000000  104.000000   \n",
       "\n",
       "       Shree Cement   Sun Pharma  Jindal Steel  Idea Vodafone  Jet Airways  \n",
       "count    314.000000   314.000000    314.000000     314.000000   314.000000  \n",
       "mean   14806.410828   633.468153    147.627389      53.713376   372.659236  \n",
       "std     4288.275085   171.855893     65.879195      31.248985   202.262668  \n",
       "min     5543.000000   338.000000     53.000000       3.000000    14.000000  \n",
       "25%    10952.250000   478.500000     88.250000      25.250000   243.250000  \n",
       "50%    16018.500000   614.000000    142.500000      53.000000   376.000000  \n",
       "75%    17773.250000   785.000000    182.750000      82.000000   534.000000  \n",
       "max    24806.000000  1089.000000    338.000000     117.000000   871.000000  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stock_df.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bf404e0f",
   "metadata": {},
   "source": [
    "Let us see plot and price trend over time for all 10 Companies."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "e3ad3af1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (10, 6))\n",
    "stock_df['Date'] = [pd.to_datetime(d) for d in stock_df['Date']]\n",
    "plt.scatter(stock_df['Date'], stock_df['Infosys'], edgecolors='b', color = 'lightblue')\n",
    "plt.xlabel('Year')\n",
    "plt.ylabel('Infosys')\n",
    "plt.title('Infosys over the years')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "4d6e0a73",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (10, 6))\n",
    "stock_df['Date'] = [pd.to_datetime(d) for d in stock_df['Date']]\n",
    "plt.scatter(stock_df['Date'], stock_df['Indian Hotel'], edgecolors='r', color = 'pink')\n",
    "plt.xlabel('Year')\n",
    "plt.ylabel('Indian Hotel')\n",
    "plt.title('Indian Hotel over the years')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "16056337",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (10, 6))\n",
    "stock_df['Date'] = [pd.to_datetime(d) for d in stock_df['Date']]\n",
    "plt.scatter(stock_df['Date'], stock_df['Mahindra & Mahindra'], edgecolors='y', color = 'yellow')\n",
    "plt.xlabel('Year')\n",
    "plt.ylabel('Indian Hotel')\n",
    "plt.title('Indian Hotel over the years')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "e52a598d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (10, 6))\n",
    "stock_df['Date'] = [pd.to_datetime(d) for d in stock_df['Date']]\n",
    "plt.scatter(stock_df['Date'], stock_df['Axis Bank'], color = 'purple')\n",
    "plt.xlabel('Year')\n",
    "plt.ylabel('Axis Bank')\n",
    "plt.title('Axis Bank over the years')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "fc750200",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (10, 6))\n",
    "stock_df['Date'] = [pd.to_datetime(d) for d in stock_df['Date']]\n",
    "plt.scatter(stock_df['Date'], stock_df['SAIL'], color = 'orange')\n",
    "plt.xlabel('Year')\n",
    "plt.ylabel('SAIL')\n",
    "plt.title('SAIL over the years')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "d9033d9a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (10, 6))\n",
    "stock_df['Date'] = [pd.to_datetime(d) for d in stock_df['Date']]\n",
    "plt.scatter(stock_df['Date'], stock_df['Shree Cement'], edgecolors = 'darkgreen', color = 'lightgreen')\n",
    "plt.xlabel('Year')\n",
    "plt.ylabel('Shree Cement')\n",
    "plt.title('Shree Cement over the years')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "f44772d0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (10, 6))\n",
    "stock_df['Date'] = [pd.to_datetime(d) for d in stock_df['Date']]\n",
    "plt.scatter(stock_df['Date'], stock_df['Sun Pharma'], edgecolors = 'c', color = 'cyan')\n",
    "plt.xlabel('Year')\n",
    "plt.ylabel('Sun Pharma')\n",
    "plt.title('Sun Pharma over the years')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "816f7835",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (10, 6))\n",
    "stock_df['Date'] = [pd.to_datetime(d) for d in stock_df['Date']]\n",
    "plt.scatter(stock_df['Date'], stock_df['Jindal Steel'], edgecolors = 'm', color = 'magenta')\n",
    "plt.xlabel('Year')\n",
    "plt.ylabel('Jindal Steel')\n",
    "plt.title('Jindal Steel over the years')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "eed1e9f1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (10, 6))\n",
    "stock_df['Date'] = [pd.to_datetime(d) for d in stock_df['Date']]\n",
    "plt.scatter(stock_df['Date'], stock_df['Idea Vodafone'], color = 'grey')\n",
    "plt.xlabel('Year')\n",
    "plt.ylabel('Idea Vodafone')\n",
    "plt.title('Idea Vodafone over the years')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "e16713c6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (10, 6))\n",
    "stock_df['Date'] = [pd.to_datetime(d) for d in stock_df['Date']]\n",
    "plt.scatter(stock_df['Date'], stock_df['Jet Airways'], color = 'darkblue')\n",
    "plt.xlabel('Year')\n",
    "plt.ylabel('Jet Airways')\n",
    "plt.title('Jet Airways over the years')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1af1f6e3",
   "metadata": {},
   "source": [
    "## Analyzing Returns"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d95d5599",
   "metadata": {},
   "source": [
    "Steps for calculating returns from Prices:\n",
    "-- Taking Logarithms \n",
    "-- Taking differences"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "a040d57e",
   "metadata": {},
   "outputs": [],
   "source": [
    "stock_returns = np.log(stock_df.drop(['Date'],axis=1)).diff(axis = 0, periods = 1) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "4f3d73cf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(314, 10)"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stock_returns.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "7f261510",
   "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>Infosys</th>\n",
       "      <th>Indian Hotel</th>\n",
       "      <th>Mahindra &amp; Mahindra</th>\n",
       "      <th>Axis Bank</th>\n",
       "      <th>SAIL</th>\n",
       "      <th>Shree Cement</th>\n",
       "      <th>Sun Pharma</th>\n",
       "      <th>Jindal Steel</th>\n",
       "      <th>Idea Vodafone</th>\n",
       "      <th>Jet Airways</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-0.026873</td>\n",
       "      <td>-0.014599</td>\n",
       "      <td>0.006572</td>\n",
       "      <td>0.048247</td>\n",
       "      <td>0.028988</td>\n",
       "      <td>0.032831</td>\n",
       "      <td>0.094491</td>\n",
       "      <td>-0.065882</td>\n",
       "      <td>0.011976</td>\n",
       "      <td>0.086112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-0.011742</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.008772</td>\n",
       "      <td>-0.021979</td>\n",
       "      <td>-0.028988</td>\n",
       "      <td>-0.013888</td>\n",
       "      <td>-0.004930</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.011976</td>\n",
       "      <td>-0.078943</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-0.003945</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.072218</td>\n",
       "      <td>0.047025</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.007583</td>\n",
       "      <td>-0.004955</td>\n",
       "      <td>-0.018084</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.007117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.011788</td>\n",
       "      <td>-0.045120</td>\n",
       "      <td>-0.012371</td>\n",
       "      <td>-0.003540</td>\n",
       "      <td>-0.076373</td>\n",
       "      <td>-0.019515</td>\n",
       "      <td>0.011523</td>\n",
       "      <td>-0.140857</td>\n",
       "      <td>-0.049393</td>\n",
       "      <td>-0.148846</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Infosys  Indian Hotel  Mahindra & Mahindra  Axis Bank      SAIL  \\\n",
       "0       NaN           NaN                  NaN        NaN       NaN   \n",
       "1 -0.026873     -0.014599             0.006572   0.048247  0.028988   \n",
       "2 -0.011742      0.000000            -0.008772  -0.021979 -0.028988   \n",
       "3 -0.003945      0.000000             0.072218   0.047025  0.000000   \n",
       "4  0.011788     -0.045120            -0.012371  -0.003540 -0.076373   \n",
       "\n",
       "   Shree Cement  Sun Pharma  Jindal Steel  Idea Vodafone  Jet Airways  \n",
       "0           NaN         NaN           NaN            NaN          NaN  \n",
       "1      0.032831    0.094491     -0.065882       0.011976     0.086112  \n",
       "2     -0.013888   -0.004930      0.000000      -0.011976    -0.078943  \n",
       "3      0.007583   -0.004955     -0.018084       0.000000     0.007117  \n",
       "4     -0.019515    0.011523     -0.140857      -0.049393    -0.148846  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stock_returns.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7a60bc78",
   "metadata": {},
   "source": [
    "We now look at Means & Standard Deviations of these returns\n",
    "Stock Means: Average returns that the stock is making on a week to week basis\n",
    "Stock Standard Deviation : It is a measure of volatility meaning the more a stock's returns vary from the stock's average return, the more volatile the stock"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6b6970d2",
   "metadata": {},
   "source": [
    "#### Calculating Stock means"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "988e231f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Infosys                0.002794\n",
       "Indian Hotel           0.000266\n",
       "Mahindra & Mahindra   -0.001506\n",
       "Axis Bank              0.001167\n",
       "SAIL                  -0.003463\n",
       "Shree Cement           0.003681\n",
       "Sun Pharma            -0.001455\n",
       "Jindal Steel          -0.004123\n",
       "Idea Vodafone         -0.010608\n",
       "Jet Airways           -0.009548\n",
       "dtype: float64"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stock_means = stock_returns.mean(axis = 0)\n",
    "stock_means"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "08f7771a",
   "metadata": {},
   "source": [
    "#### Calculating Stock Standard Deviation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "3c4d243d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Infosys                0.035070\n",
       "Indian Hotel           0.047131\n",
       "Mahindra & Mahindra    0.040169\n",
       "Axis Bank              0.045828\n",
       "SAIL                   0.062188\n",
       "Shree Cement           0.039917\n",
       "Sun Pharma             0.045033\n",
       "Jindal Steel           0.075108\n",
       "Idea Vodafone          0.104315\n",
       "Jet Airways            0.097972\n",
       "dtype: float64"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stock_sd = stock_returns.std(axis = 0)\n",
    "stock_sd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "66a67a46",
   "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>Average</th>\n",
       "      <th>Volatility</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Infosys</th>\n",
       "      <td>0.002794</td>\n",
       "      <td>0.035070</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Indian Hotel</th>\n",
       "      <td>0.000266</td>\n",
       "      <td>0.047131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mahindra &amp; Mahindra</th>\n",
       "      <td>-0.001506</td>\n",
       "      <td>0.040169</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Axis Bank</th>\n",
       "      <td>0.001167</td>\n",
       "      <td>0.045828</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SAIL</th>\n",
       "      <td>-0.003463</td>\n",
       "      <td>0.062188</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shree Cement</th>\n",
       "      <td>0.003681</td>\n",
       "      <td>0.039917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sun Pharma</th>\n",
       "      <td>-0.001455</td>\n",
       "      <td>0.045033</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Jindal Steel</th>\n",
       "      <td>-0.004123</td>\n",
       "      <td>0.075108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Idea Vodafone</th>\n",
       "      <td>-0.010608</td>\n",
       "      <td>0.104315</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Jet Airways</th>\n",
       "      <td>-0.009548</td>\n",
       "      <td>0.097972</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      Average  Volatility\n",
       "Infosys              0.002794    0.035070\n",
       "Indian Hotel         0.000266    0.047131\n",
       "Mahindra & Mahindra -0.001506    0.040169\n",
       "Axis Bank            0.001167    0.045828\n",
       "SAIL                -0.003463    0.062188\n",
       "Shree Cement         0.003681    0.039917\n",
       "Sun Pharma          -0.001455    0.045033\n",
       "Jindal Steel        -0.004123    0.075108\n",
       "Idea Vodafone       -0.010608    0.104315\n",
       "Jet Airways         -0.009548    0.097972"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.DataFrame({'Average':stock_means, 'Volatility': stock_sd})\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "adb729c3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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94shscCqnuOxJ5/8q6Y+BV4GmqmVUb770pbwzsCGmszN4ZP2rXNayjo49nTSObOD6RbOZN2uSC4zVjXIuiy2XdBhwFcl7VF4gecujmVXB5vbdhcIC0LGnk8ta1rG5fXfOmZmVr+SZi6QGYGdE/Bb4Z2B6TbKqJ2edlcwfeCDfPGzI2Lazo1BYunTs6WT7rg6mjx+dU1Zm+6fkmUtEdOJnWUprb08ms4xMHNNI48ie/2o2jmxgwiGNfUSYDT7lXBZ7TNLlkqZKOrxrqnpmZsNU09hRXL9odqHAdPW5NI2t+D19ZjVTTod+1/Msn+y2LvAlMrOqaGgQ82ZN4thLT2b7rg4mHOK7xaz+9HvmEhHTikwVFZb07OcxSS+n86IDYEqaJ2mDpI2SlpUbL+koSa9LurySPM3y0tAgpo8fzQnTxzF9/GgXFqs7/RYXSQdLukrS8nR5hqTTK/zdZcCaiJgBrEmXe//uCOAmYD4wEzhP0swy478KfK/CHMtz6qnJZGZmBeVcFrsDeBo4KV1uA/438HAFv7uQt98DswJYC3y2V5vjgY1dLyOTdG8a90KpeElnApuA2ty3+fnP1+RnzOqFHwA1KK+4vDMizpV0HkBEvCmp0r+UiRGxNf2+rZImFGlzJLCl23Ib8J5S8ZJGkRSZuYAviZnVmB8AtS7l3C32Vjq8fgBIeifw+/6CJK2W9HyRaWGZuRX7S+zv/TF/D3w1Il4vI78lklolte7YsaPMlIqYPz+ZzMwPgFpBOWcuXwAeAaZKugd4L3Bhf0ERcVpf2yRtkzQ5PeuYDGwv0qwNmNpteQrJ65YB+op/D3C2pP8OHEryorOOiPhakfyWA8sBmpubB/7SszffHHCo2VDjB0CtSznvc/m+pKeBE0jOJv4uIl6r8HdXAhcA16bzB4u0eQqYIWka8BtgMfDXpeIj4uSuYElfAF4vVljMrDq6HgDtXmD8AOjwVM7dYiuB9wNrI+LhDAoLJEVhrqSXSfpHrk1/6whJqwAiYi/J6ACPAi8CLRGxvlS8meXLD4BaF0WUviIk6X3AucBfAT8F7gMejoiO6qdXG83NzdHa2jqw4DlzkvnatVmlY1bXuu4W8wOgQ5+kpyOiudi2ci6L/RD4YfrcySnA3wK3A2MyzbJenV7pIz9mQ0vXA6DuYxneyunQJ71b7AySM5jjgG9WMaf6crnveDYz662cPpf7SPo8TgG+RtKBPqLKeZmZWR0r5zmXO4BzgJ3p578nKTYGSZ9LV7+LmZkBJS6LSTqa5Pbf84B2ko58RcR/qFFuZmZWp0r1ufwC+BFwRkRsBJD0qZpkZWZmda3UZbGzgFeBH0j6uqRTKT4ki5mZWQ99FpeI+E5EnAscSzLq8KeAiZJukfT+GuVnZmZ1qJznXHYD9wD3pK83Pofk/Snfr3Ju9WHRorwzMDMbdPp9Qn84qOgJfTOzYarUE/rl3IpspbzxRjKZmVlBWU/oWwkLFiRzjy1mZlbgMxczM8uci4uZmWXOxcXMzDLn4mJmZplzh36lLrww7wzMzAYdF5dKubiYme3Dl8Uq9dpryWRmZgW5FBdJh0t6TNLL6fywPtrNk7RB0kZJy8qJl/QuSU9IWi/pOUmNVd2Zs89OJjMzK8jrzGUZsCYiZgBr0uUeJI0AbgLmAzOB8yTNLBUv6QDgbuCiiJgFzAH2VHdXzMyst7yKy0JgRfp5BXBmkTbHAxsjYlNEvAXcm8aVin8/8GxE/BwgItoj4g+ZZ29mZiXlVVwmRsRWgHQ+oUibI4Et3Zbb0nWl4o8GQtKjkp6R9Jm+EpC0RFKrpNYdO3ZUuDtmZtZd1e4Wk7QamFRk0+fK/Yoi6/obwvkA4C+AdwNvAGvSUTvX7PNFEcuB5ZCMilxmTmZmVoaqFZeIOK2vbZK2SZocEVslTQa2F2nWBkzttjwFeCX93Fd8G/DDiHgt/Z1VwHEk/TLV8YlPVO2rzczqVV6XxVYCF6SfLwAeLNLmKWCGpGmSDgQWp3Gl4h8F3iXp4LRz/33AC1XI/23nnptMZmZWkFdxuRaYK+llYG66jKQj0rMNImIvcAlJwXgRaImI9aXiI+K3wPUkhWkd8ExEfLeqe7JlSzKZmVmB30RJhW+inDMnmft9LmY2zPhNlGZmVlMuLmZmljkXFzMzy5yLi5mZZc5D7lfq05/OOwMzs0HHxaVSZ5yRdwZmZoOOL4tVasOGZDIzswKfuVTq4x9P5n7OxcyswGcuZmaWORcXMzPLnIuLmZllzsXFzMwy5w79Sl11Vd4ZmJkNOi4ulTqtz3eimZkNW74sVql165LJzMwKfOZSqaVLk7mfczEzK/CZi5mZZc7FxczMMufiYmZmmculuEg6XNJjkl5O54f10W6epA2SNkpa1l+8pJGSVkh6TtKLkq6o1T6Zmdnb8jpzWQasiYgZwJp0uQdJI4CbgPnATOA8STP7iT8HeEdE/Anw58DHJTVVc0e45ppkMjOzgryKy0JgRfp5BXBmkTbHAxsjYlNEvAXcm8aVig9glKQDgIOAt4CdWSffw0knJZOZmRXkVVwmRsRWgHQ+oUibI4Et3Zbb0nWl4u8HdgNbgV8DX4mI/1csAUlLJLVKat2xY8fA9+Txx5PJzMwKqvaci6TVwKQimz5X7lcUWRf9xBwP/AE4AjgM+JGk1RGxaZ8vilgOLAdobm7u73v7duWVydzPuZiZFVStuEREn+OiSNomaXJEbJU0GdhepFkbMLXb8hTglfRzX/F/DTwSEXuA7ZJ+DDQD+xQXMzOrnrwui60ELkg/XwA8WKTNU8AMSdMkHQgsTuNKxf8aOEWJUcAJwC+qkL+ZmZWQV3G5Fpgr6WVgbrqMpCMkrQKIiL3AJcCjwItAS0SsLxVPcnfZaOB5kuJ0R0Q8W5tdMjOzLrmMLRYR7cCpRda/AizotrwKWLUf8a+T3I5sZmY58sCVlbrhhrwzMDMbdFxcKjV7dt4ZmJkNOh5brFKrVyeTmZkV+MylUldfncz9RkozswKfuZiZWeZcXMzMLHMuLmZmljkXFzMzy5w79Ct12215Z2BmNui4uFTqmGPyzsDMbNDxZbFKPfRQMpmZWYHPXCp13XXJ/Iwz8s3DzGwQcXExMxukOjuDze272bazg4ljGmkaO4qGhmLvURx8XFzMzAahzs7gkfWvclnLOjr2dNI4soHrF81m3qxJdVFg3OdiZjYIbW7fXSgsAB17OrmsZR2b23fnnFl5XFzMzAahbTs7CoWlS8eeTrbv6sgpo/3jy2KVuuuuvDMwsyFo4phGGkc29CgwjSMbmHBIY45Zlc9nLpWaOjWZzMwy1DR2FNcvmk3jyOQ/0119Lk1jR+WcWXlyOXORdDhwH9AEbAYWRcRvi7SbB/wDMAL4RkRcm64/B/gC8O+A4yOitVvMFcDHgD8Al0bEo9XcF+67L5mfe25Vf8bMhpeGBjFv1iSOvfRktu/qYMIh9XW3WF5nLsuANRExA1iTLvcgaQRwEzAfmAmcJ2lmuvl54D8C/9wrZiawGJgFzANuTr+nem65JZnMzDLW0CCmjx/NCdPHMX386LopLJBfcVkIrEg/rwDOLNLmeGBjRGyKiLeAe9M4IuLFiNjQx/feGxG/j4hfARvT7zEzsxrKq7hMjIitAOl8QpE2RwJbui23petKGUiMmZllrGp9LpJWA5OKbPpcuV9RZF1kFSNpCbAE4KijjiozJTMzK0fViktE9PlSeUnbJE2OiK2SJgPbizRrA7rfhjUFeKWfny07JiKWA8sBmpub+ytaZma2H/K6LLYSuCD9fAHwYJE2TwEzJE2TdCBJR/3KMr53saR3SJoGzAB+mlHOxd1/fzKZmVlBXsXlWmCupJeBuekyko6QtAogIvYClwCPAi8CLRGxPm33QUltwInAdyU9msasB1qAF4BHgE9GxB+quifjxiWTmZkVKMJXhJqbm6O1tbX/hsV885vJ/MILs0rHzKwuSHo6IpqLbfPwL5VycTGzOlTt4fxdXMzMhplaDOfvscXMzIaZWgzn7+JiZjbM1GI4fxcXM7Nhpms4/+6yHs7fxaVSq1Ylk5lZnajFcP7u0K/UwQfnnYGZ2X6pxXD+Li6VuvnmZH7xxfnmYWa2H7qG858+fnR1vr8q3zqctLQkk5mZFbi4mJlZ5lxczMwscy4uZmaWORcXMzPLnEdFBiTtAP5lgOHjgNcyTGeo8fEpzcenfz5GpeV5fP5tRIwvtsHFpUKSWvsactp8fPrj49M/H6PSBuvx8WUxMzPLnIuLmZllzsWlcsvzTmCQ8/Epzcenfz5GpQ3K4+M+FzMzy5zPXMzMLHMuLmZmljkXlz5Imidpg6SNkpYV2S5JN6bbn5V0XLp+qqQfSHpR0npJf1f77KtvoMen2/YRkn4m6eHaZV1blRwjSYdKul/SL9K/pRNrm331VXh8PpX++/W8pG9Lyu4tV4NIGcfoWElPSPq9pMv3J7bqIsJTrwkYAfwSmA4cCPwcmNmrzQLge4CAE4CfpOsnA8elnw8BXuodW+9TJcen2/bLgG8BD+e9P4PxGAErgP+Ufj4QODTvfRosxwc4EvgVcFC63AJcmPc+5XSMJgDvBv4bcPn+xFZ78plLcccDGyNiU0S8BdwLLOzVZiFwZySeBA6VNDkitkbEMwARsQt4keRfhqFkwMcHQNIU4K+Ab9Qy6Rob8DGSNAb498D/AoiItyLiX2uYey1U9DdE8i6qgyQdABwMvFKrxGuo32MUEdsj4ilgz/7GVpuLS3FHAlu6Lbexb4Hot42kJuDPgJ9kn2KuKj0+NwCfATqrlN9gUMkxmg7sAO5ILx1+Q1J2758dHAZ8fCLiN8BXgF8DW4HfRcT3q5hrXso5RtWIzYSLS3HF3vXZ+57tkm0kjQYeAJZGxM4McxsMBnx8JJ0ObI+Ip7NPa1Cp5G/oAOA44JaI+DNgN1D7a+bVVcnf0GEk/xc+DTgCGCXp/IzzGwzKOUbViM2Ei0txbcDUbstT2Pe0u882kkaSFJZ7IuIfq5hnXio5Pu8FPiBpM8mp+imS7q5eqrmp5Bi1AW0R0XXGez9JsRlKKjk+pwG/iogdEbEH+EfgpCrmmpdyjlE1YjPh4lLcU8AMSdMkHQgsBlb2arMS+HB6R8sJJKfmWyWJ5Fr5ixFxfW3TrpkBH5+IuCIipkREUxr3fyJiKP5fZyXH6FVgi6Rj0nanAi/ULPPaGPDxIbkcdoKkg9N/304l6dscaso5RtWIzcQBtfyxehEReyVdAjxKctfF7RGxXtJF6fZbgVUkd7NsBN4APpKGvxf4EPCcpHXpuisjYlUNd6GqKjw+w0IGx+g/A/ek/2HYxBA7fpUcn4j4iaT7gWeAvcDPGKRDoFSinGMkaRLQCowBOiUtJbkrbGex2Frm7+FfzMwsc74sZmZmmXNxMTOzzLm4mJlZ5lxczMwscy4uZmaWORcXs4xIWivpL3utWyrp5j7ab5Y0rp/vvLLX8uPpvEnS8+nnZkk3pp/nSBqKDxRanXFxMcvOt0keVutucbp+oHoUl4jYp3BERGtEXJouzmFoPq1udcbFxSw79wOnS3oHFAYuPQKYIum59N0jXy4WKOmfJD2dvqNkSbruWpKRf9dJuidd93qR2DmSHk5/7yLgU2nMyZJ+lQ5HhKQx6dnSyOx33awnFxezjEREO/BTYF66ajHJE9JfBk4BZgPvlnRmkfCPRsSfA83ApZLGRsQy4M2ImB0Rf1PG728GbgW+msb8CFhL8nqDrnweSMfjMqsqFxezbHW/NLaYZADBtekgi3uBe0je1dLbpZJ+DjxJMuDgjIzy+QZvDx3zEeCOjL7XrCQXF7Ns/RNwqpJX8h5E8gbAkiTNIRnp98SI+FOSsbIyeW1vRPwYaJL0PmBERDyfxfea9cfFxSxDEfE6yaWo20nOYn4CvE/SOEkjgPOAH/YK+zfAbyPiDUnHkrzSt8ue/ewj2UXyeu3u7kxz8VmL1YyLi1n2vg38KXBvOkT8FcAPSM5inomIB3u1fwQ4QNKzwBdJLo11WQ4829WhX4aHgA92dein6+4BDqOyu9bM9otHRTYb4iSdDSyMiA/lnYsNH36fi9kQJul/AvNJ3otiVjM+czEzs8y5z8XMzDLn4mJmZplzcTEzs8y5uJiZWeZcXMzMLHP/H9SYD6zmXNDCAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#plt.scatter(stock_sd, stock_means, edgecolors='r')\n",
    "plot = sns.scatterplot(df['Volatility'], df['Average'])\n",
    "plot.axvline(x=0.020257,linestyle='--', color = \"red\")\n",
    "plot.axhline(y=0.000683,linestyle='--', color = \"red\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "98a5a1af",
   "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>Average</th>\n",
       "      <th>Volatility</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Infosys</th>\n",
       "      <td>0.002794</td>\n",
       "      <td>0.035070</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shree Cement</th>\n",
       "      <td>0.003681</td>\n",
       "      <td>0.039917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mahindra &amp; Mahindra</th>\n",
       "      <td>-0.001506</td>\n",
       "      <td>0.040169</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sun Pharma</th>\n",
       "      <td>-0.001455</td>\n",
       "      <td>0.045033</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Axis Bank</th>\n",
       "      <td>0.001167</td>\n",
       "      <td>0.045828</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Indian Hotel</th>\n",
       "      <td>0.000266</td>\n",
       "      <td>0.047131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SAIL</th>\n",
       "      <td>-0.003463</td>\n",
       "      <td>0.062188</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Jindal Steel</th>\n",
       "      <td>-0.004123</td>\n",
       "      <td>0.075108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Jet Airways</th>\n",
       "      <td>-0.009548</td>\n",
       "      <td>0.097972</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Idea Vodafone</th>\n",
       "      <td>-0.010608</td>\n",
       "      <td>0.104315</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      Average  Volatility\n",
       "Infosys              0.002794    0.035070\n",
       "Shree Cement         0.003681    0.039917\n",
       "Mahindra & Mahindra -0.001506    0.040169\n",
       "Sun Pharma          -0.001455    0.045033\n",
       "Axis Bank            0.001167    0.045828\n",
       "Indian Hotel         0.000266    0.047131\n",
       "SAIL                -0.003463    0.062188\n",
       "Jindal Steel        -0.004123    0.075108\n",
       "Jet Airways         -0.009548    0.097972\n",
       "Idea Vodafone       -0.010608    0.104315"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.sort_values(by = 'Volatility')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6e78699a",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.11.4"
  }
 },
 "nbformat": 4,
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}