AUSFINCVAR.ipynb

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    "colab": {
      "name": "AUSFINCVAR.ipynb",
      "provenance": [],
      "authorship_tag": "ABX9TyOg2IlFnpxvbLJ49PoIHqZ0",
      "include_colab_link": true
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      "name": "python3",
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      "name": "python"
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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/virajvaidya/ValueAtRiskModel/blob/main/AUSFINCVAR.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "aMtvxXf0pOzh"
      },
      "source": [
        "import datetime          as dt\n",
        "import pandas            as pd\n",
        "import pandas_datareader as pdr"
      ],
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jg_jDj5WwPiY"
      },
      "source": [
        "!pip install yfinance\n",
        "\n",
        "from scipy.stats import norm\n",
        "\n",
        "import yfinance          as yf\n",
        "import pandas            as pd\n",
        "import numpy             as np\n",
        "import datetime          as dt\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn           as sns\n",
        "\n",
        "import requests\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "TcZ9x5UVpZAp",
        "outputId": "06756a10-5ec1-4de2-8326-72a90e2e437c"
      },
      "source": [
        "end   = dt.datetime.now()\n",
        "start = ('2001/01/01')\n",
        "start, end"
      ],
      "execution_count": 97,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "('2001/01/01', datetime.datetime(2021, 12, 6, 8, 58, 27, 312707))"
            ]
          },
          "metadata": {},
          "execution_count": 97
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Cw8cJg0Kqa-U"
      },
      "source": [
        "finclist  = ['NAB', 'CBA', 'WBC', 'ANZ','MQG','QBE','ASX','SUN','IAG','MPL','BOQ','BEN','AMP','PPT']\n",
        "bigfinc   = [i +'.AX' for i in finclist]\n",
        "bigfinc"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "jGsKUgKzwWmX",
        "outputId": "a51a2db4-e5e5-4dea-99e4-a7995d08a048"
      },
      "source": [
        "df= yf.download(bigfinc)"
      ],
      "execution_count": 100,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[*********************100%***********************]  14 of 14 completed\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
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        "outputId": "b19fef00-47bb-4dca-e5ba-7e8abb14f8fb"
      },
      "source": [
        "df.head()"
      ],
      "execution_count": 95,
      "outputs": [
        {
          "output_type": "execute_result",
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              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.478441</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.130564</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.648617</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3.205835</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>3.925745</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.858748</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3.723146</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3.205835</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>3.925745</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.858748</td>\n",
              "      <td>...</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>3.925745</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.858748</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3.723146</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3.205835</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>3.925745</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.858748</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3.723146</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</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>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1988-02-05</th>\n",
              "      <td>NaN</td>\n",
              "      <td>0.469201</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>0.478441</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.130564</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.648617</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3.205835</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>3.925745</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.858748</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3.723146</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3.205835</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>3.925745</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.858748</td>\n",
              "      <td>...</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>3.925745</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.858748</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3.723146</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3.205835</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>3.925745</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.858748</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3.723146</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</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>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 84 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "           Adj Close                          ... Volume                     \n",
              "              AMP.AX    ANZ.AX ASX.AX BEN.AX  ... PPT.AX QBE.AX SUN.AX WBC.AX\n",
              "Date                                          ...                            \n",
              "1988-02-01       NaN  0.469201    NaN    NaN  ...    NaN    0.0    NaN    0.0\n",
              "1988-02-02       NaN  0.469201    NaN    NaN  ...    NaN    0.0    NaN    0.0\n",
              "1988-02-03       NaN  0.469201    NaN    NaN  ...    NaN    0.0    NaN    0.0\n",
              "1988-02-04       NaN  0.469201    NaN    NaN  ...    NaN    0.0    NaN    0.0\n",
              "1988-02-05       NaN  0.469201    NaN    NaN  ...    NaN    0.0    NaN    0.0\n",
              "\n",
              "[5 rows x 84 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 95
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2vfYevDXydJ3"
      },
      "source": [
        "Close=df.Close"
      ],
      "execution_count": 29,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 238
        },
        "id": "cUTgh3HgzHk_",
        "outputId": "e8b0c930-987f-4392-c493-36d7230a472b"
      },
      "source": [
        "Close.head()"
      ],
      "execution_count": 36,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>AMP.AX</th>\n",
              "      <th>ANZ.AX</th>\n",
              "      <th>ASX.AX</th>\n",
              "      <th>BEN.AX</th>\n",
              "      <th>BOQ.AX</th>\n",
              "      <th>CBA.AX</th>\n",
              "      <th>IAG.AX</th>\n",
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              "      <th>PPT.AX</th>\n",
              "      <th>QBE.AX</th>\n",
              "      <th>SUN.AX</th>\n",
              "      <th>WBC.AX</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",
              "      <th></th>\n",
              "      <th></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>1988-02-01</th>\n",
              "      <td>NaN</td>\n",
              "      <td>3.205835</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>3.925745</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.858748</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3.723146</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1988-02-02</th>\n",
              "      <td>NaN</td>\n",
              "      <td>3.205835</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>3.925745</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.858748</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3.723146</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1988-02-03</th>\n",
              "      <td>NaN</td>\n",
              "      <td>3.205835</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>3.925745</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.858748</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3.723146</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1988-02-04</th>\n",
              "      <td>NaN</td>\n",
              "      <td>3.205835</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>3.925745</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.858748</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3.723146</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1988-02-05</th>\n",
              "      <td>NaN</td>\n",
              "      <td>3.205835</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>3.925745</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.858748</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3.723146</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "            AMP.AX    ANZ.AX  ASX.AX  ...    QBE.AX  SUN.AX    WBC.AX\n",
              "Date                                  ...                            \n",
              "1988-02-01     NaN  3.205835     NaN  ...  0.858748     NaN  3.723146\n",
              "1988-02-02     NaN  3.205835     NaN  ...  0.858748     NaN  3.723146\n",
              "1988-02-03     NaN  3.205835     NaN  ...  0.858748     NaN  3.723146\n",
              "1988-02-04     NaN  3.205835     NaN  ...  0.858748     NaN  3.723146\n",
              "1988-02-05     NaN  3.205835     NaN  ...  0.858748     NaN  3.723146\n",
              "\n",
              "[5 rows x 14 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 36
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 320
        },
        "id": "bOpWW-Km0UMz",
        "outputId": "26430a92-3f51-4aab-d5fc-b8e1e57db00a"
      },
      "source": [
        "Close.describe()"
      ],
      "execution_count": 45,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
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              "    .dataframe tbody tr th:only-of-type {\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>AMP.AX</th>\n",
              "      <th>ANZ.AX</th>\n",
              "      <th>ASX.AX</th>\n",
              "      <th>BEN.AX</th>\n",
              "      <th>BOQ.AX</th>\n",
              "      <th>CBA.AX</th>\n",
              "      <th>IAG.AX</th>\n",
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              "      <th>WBC.AX</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>5806.000000</td>\n",
              "      <td>8534.000000</td>\n",
              "      <td>5826.000000</td>\n",
              "      <td>7267.000000</td>\n",
              "      <td>5668.000000</td>\n",
              "      <td>7653.000000</td>\n",
              "      <td>5433.000000</td>\n",
              "      <td>1783.000000</td>\n",
              "      <td>5848.000000</td>\n",
              "      <td>8533.000000</td>\n",
              "      <td>8074.000000</td>\n",
              "      <td>8539.000000</td>\n",
              "      <td>8423.000000</td>\n",
              "      <td>8533.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>6.580917</td>\n",
              "      <td>17.227370</td>\n",
              "      <td>36.809362</td>\n",
              "      <td>8.422388</td>\n",
              "      <td>9.832495</td>\n",
              "      <td>43.946356</td>\n",
              "      <td>5.061070</td>\n",
              "      <td>2.853662</td>\n",
              "      <td>61.619216</td>\n",
              "      <td>22.238006</td>\n",
              "      <td>31.927982</td>\n",
              "      <td>10.562640</td>\n",
              "      <td>9.319697</td>\n",
              "      <td>17.259471</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>3.588558</td>\n",
              "      <td>9.749449</td>\n",
              "      <td>21.217677</td>\n",
              "      <td>3.316147</td>\n",
              "      <td>3.067903</td>\n",
              "      <td>26.513628</td>\n",
              "      <td>1.475405</td>\n",
              "      <td>0.374382</td>\n",
              "      <td>38.591994</td>\n",
              "      <td>9.571868</td>\n",
              "      <td>20.090238</td>\n",
              "      <td>7.291454</td>\n",
              "      <td>5.113959</td>\n",
              "      <td>9.945711</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>0.920000</td>\n",
              "      <td>2.656012</td>\n",
              "      <td>8.614375</td>\n",
              "      <td>2.623719</td>\n",
              "      <td>4.466409</td>\n",
              "      <td>5.865721</td>\n",
              "      <td>2.438524</td>\n",
              "      <td>1.990000</td>\n",
              "      <td>15.489008</td>\n",
              "      <td>3.925745</td>\n",
              "      <td>4.300000</td>\n",
              "      <td>0.858748</td>\n",
              "      <td>1.251773</td>\n",
              "      <td>2.721472</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>4.540000</td>\n",
              "      <td>6.315194</td>\n",
              "      <td>16.519911</td>\n",
              "      <td>5.796012</td>\n",
              "      <td>7.259397</td>\n",
              "      <td>24.109375</td>\n",
              "      <td>3.709016</td>\n",
              "      <td>2.600000</td>\n",
              "      <td>31.354177</td>\n",
              "      <td>12.252518</td>\n",
              "      <td>10.700000</td>\n",
              "      <td>4.783680</td>\n",
              "      <td>4.248384</td>\n",
              "      <td>6.158075</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>5.500000</td>\n",
              "      <td>17.950001</td>\n",
              "      <td>34.063702</td>\n",
              "      <td>8.990000</td>\n",
              "      <td>9.715065</td>\n",
              "      <td>40.878521</td>\n",
              "      <td>5.153688</td>\n",
              "      <td>2.860000</td>\n",
              "      <td>49.009190</td>\n",
              "      <td>24.638218</td>\n",
              "      <td>34.000000</td>\n",
              "      <td>10.160000</td>\n",
              "      <td>9.435789</td>\n",
              "      <td>17.160000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>8.686835</td>\n",
              "      <td>26.100000</td>\n",
              "      <td>48.043602</td>\n",
              "      <td>10.826469</td>\n",
              "      <td>12.030000</td>\n",
              "      <td>70.657181</td>\n",
              "      <td>6.065573</td>\n",
              "      <td>3.110000</td>\n",
              "      <td>81.939487</td>\n",
              "      <td>29.469999</td>\n",
              "      <td>44.799999</td>\n",
              "      <td>13.550000</td>\n",
              "      <td>13.330000</td>\n",
              "      <td>25.520000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>16.916386</td>\n",
              "      <td>37.189999</td>\n",
              "      <td>94.760002</td>\n",
              "      <td>17.791132</td>\n",
              "      <td>18.346272</td>\n",
              "      <td>110.129997</td>\n",
              "      <td>8.862704</td>\n",
              "      <td>3.670000</td>\n",
              "      <td>208.000000</td>\n",
              "      <td>42.655506</td>\n",
              "      <td>84.199997</td>\n",
              "      <td>35.189999</td>\n",
              "      <td>21.232805</td>\n",
              "      <td>39.620266</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "            AMP.AX       ANZ.AX  ...       SUN.AX       WBC.AX\n",
              "count  5806.000000  8534.000000  ...  8423.000000  8533.000000\n",
              "mean      6.580917    17.227370  ...     9.319697    17.259471\n",
              "std       3.588558     9.749449  ...     5.113959     9.945711\n",
              "min       0.920000     2.656012  ...     1.251773     2.721472\n",
              "25%       4.540000     6.315194  ...     4.248384     6.158075\n",
              "50%       5.500000    17.950001  ...     9.435789    17.160000\n",
              "75%       8.686835    26.100000  ...    13.330000    25.520000\n",
              "max      16.916386    37.189999  ...    21.232805    39.620266\n",
              "\n",
              "[8 rows x 14 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 45
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8wzIW7Lj8Esj"
      },
      "source": [
        "sns.set_style('whitegrid')\n",
        "pd.plotting.register_matplotlib_converters()\n",
        "sns.mpl.rc('figure',figsize=(20, 10))"
      ],
      "execution_count": 89,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 580
        },
        "id": "y7o5jYiQ9HoB",
        "outputId": "9a6d2c52-00a6-42c8-aa6d-e37edd8d7f7f"
      },
      "source": [
        "Close.plot()"
      ],
      "execution_count": 90,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f7b1ff16ad0>"
            ]
          },
          "metadata": {},
          "execution_count": 90
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x720 with 1 Axes>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qsFL7UCC-82Y"
      },
      "source": [
        "returns=Close.pct_change()"
      ],
      "execution_count": 105,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 238
        },
        "id": "nv9rpDPP_AlV",
        "outputId": "5eaca5f3-afe2-495e-d8ef-cab4ff0692ea"
      },
      "source": [
        "returns.tail()"
      ],
      "execution_count": 106,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>AMP.AX</th>\n",
              "      <th>ANZ.AX</th>\n",
              "      <th>ASX.AX</th>\n",
              "      <th>BEN.AX</th>\n",
              "      <th>BOQ.AX</th>\n",
              "      <th>CBA.AX</th>\n",
              "      <th>IAG.AX</th>\n",
              "      <th>MPL.AX</th>\n",
              "      <th>MQG.AX</th>\n",
              "      <th>NAB.AX</th>\n",
              "      <th>PPT.AX</th>\n",
              "      <th>QBE.AX</th>\n",
              "      <th>SUN.AX</th>\n",
              "      <th>WBC.AX</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",
              "      <th></th>\n",
              "      <th></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>2021-11-30</th>\n",
              "      <td>0.029851</td>\n",
              "      <td>0.003005</td>\n",
              "      <td>-0.006482</td>\n",
              "      <td>-0.001166</td>\n",
              "      <td>-0.015464</td>\n",
              "      <td>-0.006398</td>\n",
              "      <td>0.013730</td>\n",
              "      <td>0.026786</td>\n",
              "      <td>0.014071</td>\n",
              "      <td>0.003676</td>\n",
              "      <td>0.003801</td>\n",
              "      <td>0.001724</td>\n",
              "      <td>0.015962</td>\n",
              "      <td>-0.019120</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-12-01</th>\n",
              "      <td>-0.053140</td>\n",
              "      <td>-0.002247</td>\n",
              "      <td>-0.000663</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.007512</td>\n",
              "      <td>-0.002257</td>\n",
              "      <td>-0.014493</td>\n",
              "      <td>-0.005337</td>\n",
              "      <td>0.002930</td>\n",
              "      <td>-0.011652</td>\n",
              "      <td>0.010327</td>\n",
              "      <td>-0.009242</td>\n",
              "      <td>0.004873</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-12-02</th>\n",
              "      <td>-0.040816</td>\n",
              "      <td>0.001877</td>\n",
              "      <td>-0.005975</td>\n",
              "      <td>-0.009335</td>\n",
              "      <td>-0.002618</td>\n",
              "      <td>0.021517</td>\n",
              "      <td>-0.004525</td>\n",
              "      <td>-0.011765</td>\n",
              "      <td>0.014666</td>\n",
              "      <td>0.008035</td>\n",
              "      <td>-0.006779</td>\n",
              "      <td>-0.004259</td>\n",
              "      <td>0.001866</td>\n",
              "      <td>-0.007760</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-12-03</th>\n",
              "      <td>0.005319</td>\n",
              "      <td>0.012739</td>\n",
              "      <td>0.003340</td>\n",
              "      <td>0.002356</td>\n",
              "      <td>0.001312</td>\n",
              "      <td>0.007404</td>\n",
              "      <td>0.015909</td>\n",
              "      <td>0.008929</td>\n",
              "      <td>0.005741</td>\n",
              "      <td>0.013043</td>\n",
              "      <td>0.015430</td>\n",
              "      <td>0.027374</td>\n",
              "      <td>0.007449</td>\n",
              "      <td>0.011730</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-12-06</th>\n",
              "      <td>-0.026455</td>\n",
              "      <td>0.000370</td>\n",
              "      <td>0.004327</td>\n",
              "      <td>0.002350</td>\n",
              "      <td>-0.003932</td>\n",
              "      <td>0.006521</td>\n",
              "      <td>-0.038031</td>\n",
              "      <td>-0.005900</td>\n",
              "      <td>0.001703</td>\n",
              "      <td>0.002861</td>\n",
              "      <td>-0.017241</td>\n",
              "      <td>-0.014155</td>\n",
              "      <td>-0.008318</td>\n",
              "      <td>0.000966</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "              AMP.AX    ANZ.AX    ASX.AX  ...    QBE.AX    SUN.AX    WBC.AX\n",
              "Date                                      ...                              \n",
              "2021-11-30  0.029851  0.003005 -0.006482  ...  0.001724  0.015962 -0.019120\n",
              "2021-12-01 -0.053140 -0.002247 -0.000663  ...  0.010327 -0.009242  0.004873\n",
              "2021-12-02 -0.040816  0.001877 -0.005975  ... -0.004259  0.001866 -0.007760\n",
              "2021-12-03  0.005319  0.012739  0.003340  ...  0.027374  0.007449  0.011730\n",
              "2021-12-06 -0.026455  0.000370  0.004327  ... -0.014155 -0.008318  0.000966\n",
              "\n",
              "[5 rows x 14 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 106
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 580
        },
        "id": "4D-SG9dw_Dc8",
        "outputId": "6aa910b1-82d4-4180-c743-b4513ef81cbf"
      },
      "source": [
        "returns.plot()"
      ],
      "execution_count": 107,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f7b1f480b50>"
            ]
          },
          "metadata": {},
          "execution_count": 107
        },
        {
          "output_type": "display_data",
          "data": {
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            "text/plain": [
              "<Figure size 1440x720 with 1 Axes>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "uwbQ5NhC_SXr"
      },
      "source": [
        "import numpy as np\n",
        "weights   = np.array([0.07143, 0.07143, 0.07143, 0.07143, 0.07143, 0.07143,0.07143, 0.07143, 0.07143,0.07143, 0.07143, 0.07143,0.07143, 0.07143])                                      #Allocating equal weights to the stocks in our portfolio\n",
        "initinv   = 1000000  "
      ],
      "execution_count": 108,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 488
        },
        "id": "juvDQlxfAKAI",
        "outputId": "c1d1f460-3cd0-4a44-f115-1955d7eae675"
      },
      "source": [
        "cov_matrix = returns.cov()\n",
        "cov_matrix"
      ],
      "execution_count": 109,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>AMP.AX</th>\n",
              "      <th>ANZ.AX</th>\n",
              "      <th>ASX.AX</th>\n",
              "      <th>BEN.AX</th>\n",
              "      <th>BOQ.AX</th>\n",
              "      <th>CBA.AX</th>\n",
              "      <th>IAG.AX</th>\n",
              "      <th>MPL.AX</th>\n",
              "      <th>MQG.AX</th>\n",
              "      <th>NAB.AX</th>\n",
              "      <th>PPT.AX</th>\n",
              "      <th>QBE.AX</th>\n",
              "      <th>SUN.AX</th>\n",
              "      <th>WBC.AX</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>AMP.AX</th>\n",
              "      <td>0.000479</td>\n",
              "      <td>0.000179</td>\n",
              "      <td>0.000104</td>\n",
              "      <td>0.000132</td>\n",
              "      <td>0.000128</td>\n",
              "      <td>0.000118</td>\n",
              "      <td>0.000117</td>\n",
              "      <td>0.000090</td>\n",
              "      <td>0.000172</td>\n",
              "      <td>0.000134</td>\n",
              "      <td>0.000149</td>\n",
              "      <td>0.000127</td>\n",
              "      <td>0.000144</td>\n",
              "      <td>0.000129</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ANZ.AX</th>\n",
              "      <td>0.000179</td>\n",
              "      <td>0.000271</td>\n",
              "      <td>0.000104</td>\n",
              "      <td>0.000122</td>\n",
              "      <td>0.000135</td>\n",
              "      <td>0.000150</td>\n",
              "      <td>0.000106</td>\n",
              "      <td>0.000080</td>\n",
              "      <td>0.000179</td>\n",
              "      <td>0.000162</td>\n",
              "      <td>0.000113</td>\n",
              "      <td>0.000115</td>\n",
              "      <td>0.000096</td>\n",
              "      <td>0.000174</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ASX.AX</th>\n",
              "      <td>0.000104</td>\n",
              "      <td>0.000104</td>\n",
              "      <td>0.000239</td>\n",
              "      <td>0.000096</td>\n",
              "      <td>0.000088</td>\n",
              "      <td>0.000089</td>\n",
              "      <td>0.000087</td>\n",
              "      <td>0.000072</td>\n",
              "      <td>0.000143</td>\n",
              "      <td>0.000104</td>\n",
              "      <td>0.000106</td>\n",
              "      <td>0.000092</td>\n",
              "      <td>0.000088</td>\n",
              "      <td>0.000095</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>BEN.AX</th>\n",
              "      <td>0.000132</td>\n",
              "      <td>0.000122</td>\n",
              "      <td>0.000096</td>\n",
              "      <td>0.000287</td>\n",
              "      <td>0.000157</td>\n",
              "      <td>0.000108</td>\n",
              "      <td>0.000102</td>\n",
              "      <td>0.000070</td>\n",
              "      <td>0.000160</td>\n",
              "      <td>0.000120</td>\n",
              "      <td>0.000124</td>\n",
              "      <td>0.000097</td>\n",
              "      <td>0.000101</td>\n",
              "      <td>0.000113</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>BOQ.AX</th>\n",
              "      <td>0.000128</td>\n",
              "      <td>0.000135</td>\n",
              "      <td>0.000088</td>\n",
              "      <td>0.000157</td>\n",
              "      <td>0.000288</td>\n",
              "      <td>0.000116</td>\n",
              "      <td>0.000097</td>\n",
              "      <td>0.000068</td>\n",
              "      <td>0.000152</td>\n",
              "      <td>0.000137</td>\n",
              "      <td>0.000134</td>\n",
              "      <td>0.000104</td>\n",
              "      <td>0.000117</td>\n",
              "      <td>0.000129</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>CBA.AX</th>\n",
              "      <td>0.000118</td>\n",
              "      <td>0.000150</td>\n",
              "      <td>0.000089</td>\n",
              "      <td>0.000108</td>\n",
              "      <td>0.000116</td>\n",
              "      <td>0.000186</td>\n",
              "      <td>0.000094</td>\n",
              "      <td>0.000082</td>\n",
              "      <td>0.000147</td>\n",
              "      <td>0.000139</td>\n",
              "      <td>0.000100</td>\n",
              "      <td>0.000107</td>\n",
              "      <td>0.000088</td>\n",
              "      <td>0.000143</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>IAG.AX</th>\n",
              "      <td>0.000117</td>\n",
              "      <td>0.000106</td>\n",
              "      <td>0.000087</td>\n",
              "      <td>0.000102</td>\n",
              "      <td>0.000097</td>\n",
              "      <td>0.000094</td>\n",
              "      <td>0.000259</td>\n",
              "      <td>0.000078</td>\n",
              "      <td>0.000122</td>\n",
              "      <td>0.000100</td>\n",
              "      <td>0.000113</td>\n",
              "      <td>0.000119</td>\n",
              "      <td>0.000124</td>\n",
              "      <td>0.000102</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>MPL.AX</th>\n",
              "      <td>0.000090</td>\n",
              "      <td>0.000080</td>\n",
              "      <td>0.000072</td>\n",
              "      <td>0.000070</td>\n",
              "      <td>0.000068</td>\n",
              "      <td>0.000082</td>\n",
              "      <td>0.000078</td>\n",
              "      <td>0.000228</td>\n",
              "      <td>0.000078</td>\n",
              "      <td>0.000073</td>\n",
              "      <td>0.000081</td>\n",
              "      <td>0.000088</td>\n",
              "      <td>0.000086</td>\n",
              "      <td>0.000071</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>MQG.AX</th>\n",
              "      <td>0.000172</td>\n",
              "      <td>0.000179</td>\n",
              "      <td>0.000143</td>\n",
              "      <td>0.000160</td>\n",
              "      <td>0.000152</td>\n",
              "      <td>0.000147</td>\n",
              "      <td>0.000122</td>\n",
              "      <td>0.000078</td>\n",
              "      <td>0.000436</td>\n",
              "      <td>0.000185</td>\n",
              "      <td>0.000178</td>\n",
              "      <td>0.000160</td>\n",
              "      <td>0.000170</td>\n",
              "      <td>0.000160</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>NAB.AX</th>\n",
              "      <td>0.000134</td>\n",
              "      <td>0.000162</td>\n",
              "      <td>0.000104</td>\n",
              "      <td>0.000120</td>\n",
              "      <td>0.000137</td>\n",
              "      <td>0.000139</td>\n",
              "      <td>0.000100</td>\n",
              "      <td>0.000073</td>\n",
              "      <td>0.000185</td>\n",
              "      <td>0.000213</td>\n",
              "      <td>0.000104</td>\n",
              "      <td>0.000116</td>\n",
              "      <td>0.000090</td>\n",
              "      <td>0.000155</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PPT.AX</th>\n",
              "      <td>0.000149</td>\n",
              "      <td>0.000113</td>\n",
              "      <td>0.000106</td>\n",
              "      <td>0.000124</td>\n",
              "      <td>0.000134</td>\n",
              "      <td>0.000100</td>\n",
              "      <td>0.000113</td>\n",
              "      <td>0.000081</td>\n",
              "      <td>0.000178</td>\n",
              "      <td>0.000104</td>\n",
              "      <td>0.000340</td>\n",
              "      <td>0.000097</td>\n",
              "      <td>0.000098</td>\n",
              "      <td>0.000106</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>QBE.AX</th>\n",
              "      <td>0.000127</td>\n",
              "      <td>0.000115</td>\n",
              "      <td>0.000092</td>\n",
              "      <td>0.000097</td>\n",
              "      <td>0.000104</td>\n",
              "      <td>0.000107</td>\n",
              "      <td>0.000119</td>\n",
              "      <td>0.000088</td>\n",
              "      <td>0.000160</td>\n",
              "      <td>0.000116</td>\n",
              "      <td>0.000097</td>\n",
              "      <td>0.000365</td>\n",
              "      <td>0.000084</td>\n",
              "      <td>0.000106</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>SUN.AX</th>\n",
              "      <td>0.000144</td>\n",
              "      <td>0.000096</td>\n",
              "      <td>0.000088</td>\n",
              "      <td>0.000101</td>\n",
              "      <td>0.000117</td>\n",
              "      <td>0.000088</td>\n",
              "      <td>0.000124</td>\n",
              "      <td>0.000086</td>\n",
              "      <td>0.000170</td>\n",
              "      <td>0.000090</td>\n",
              "      <td>0.000098</td>\n",
              "      <td>0.000084</td>\n",
              "      <td>0.000272</td>\n",
              "      <td>0.000089</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>WBC.AX</th>\n",
              "      <td>0.000129</td>\n",
              "      <td>0.000174</td>\n",
              "      <td>0.000095</td>\n",
              "      <td>0.000113</td>\n",
              "      <td>0.000129</td>\n",
              "      <td>0.000143</td>\n",
              "      <td>0.000102</td>\n",
              "      <td>0.000071</td>\n",
              "      <td>0.000160</td>\n",
              "      <td>0.000155</td>\n",
              "      <td>0.000106</td>\n",
              "      <td>0.000106</td>\n",
              "      <td>0.000089</td>\n",
              "      <td>0.000232</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "          AMP.AX    ANZ.AX    ASX.AX  ...    QBE.AX    SUN.AX    WBC.AX\n",
              "AMP.AX  0.000479  0.000179  0.000104  ...  0.000127  0.000144  0.000129\n",
              "ANZ.AX  0.000179  0.000271  0.000104  ...  0.000115  0.000096  0.000174\n",
              "ASX.AX  0.000104  0.000104  0.000239  ...  0.000092  0.000088  0.000095\n",
              "BEN.AX  0.000132  0.000122  0.000096  ...  0.000097  0.000101  0.000113\n",
              "BOQ.AX  0.000128  0.000135  0.000088  ...  0.000104  0.000117  0.000129\n",
              "CBA.AX  0.000118  0.000150  0.000089  ...  0.000107  0.000088  0.000143\n",
              "IAG.AX  0.000117  0.000106  0.000087  ...  0.000119  0.000124  0.000102\n",
              "MPL.AX  0.000090  0.000080  0.000072  ...  0.000088  0.000086  0.000071\n",
              "MQG.AX  0.000172  0.000179  0.000143  ...  0.000160  0.000170  0.000160\n",
              "NAB.AX  0.000134  0.000162  0.000104  ...  0.000116  0.000090  0.000155\n",
              "PPT.AX  0.000149  0.000113  0.000106  ...  0.000097  0.000098  0.000106\n",
              "QBE.AX  0.000127  0.000115  0.000092  ...  0.000365  0.000084  0.000106\n",
              "SUN.AX  0.000144  0.000096  0.000088  ...  0.000084  0.000272  0.000089\n",
              "WBC.AX  0.000129  0.000174  0.000095  ...  0.000106  0.000089  0.000232\n",
              "\n",
              "[14 rows x 14 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 109
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4CqybnniANtF"
      },
      "source": [
        "avgreturns = returns.mean()\n",
        "avgreturns"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_NL-Y0VXAT0E"
      },
      "source": [
        "portfoliomean  = avgreturns.dot(weights)                           #Making the returns proportional with the weighting of our portfolio"
      ],
      "execution_count": 111,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JgjPJKL7AZuo"
      },
      "source": [
        "portfoliostd = np.sqrt(weights.T.dot(cov_matrix).dot(weights))     #Computing the standard deviation of our portfolio after adjusting for weights"
      ],
      "execution_count": 112,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MfvL7M0lAcJT"
      },
      "source": [
        "invmean        = (1+portfoliomean) * initinv                       #Computing the mean of our investment amount"
      ],
      "execution_count": 113,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pTBuEUUUAePJ"
      },
      "source": [
        "invstd         = initinv * portfoliostd                            #Computing the standard deviation of our investment"
      ],
      "execution_count": 114,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "TJXwFNr1AhAk"
      },
      "source": [
        "from scipy.stats import norm"
      ],
      "execution_count": 115,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1ZRood-6AjoK"
      },
      "source": [
        "conf = 0.05                                                       #Asserting the confidence interval at 95%"
      ],
      "execution_count": 117,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "E4AjR2xxAl4a"
      },
      "source": [
        "confcutoff = norm.ppf(conf, invmean, invstd)                      #Defining the \"cutoff\" value where our 95% CI sits"
      ],
      "execution_count": 118,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jeukQA6YApsN"
      },
      "source": [
        "var = initinv - confcutoff                                        #Calculating the VaR as Initial Investment value minus the cutoff"
      ],
      "execution_count": 119,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "FmVGBql1Arq0",
        "outputId": "c576b7d6-ba11-4ae4-d3c4-3461f96a0907"
      },
      "source": [
        "var"
      ],
      "execution_count": 120,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "18320.577097519883"
            ]
          },
          "metadata": {},
          "execution_count": 120
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WNVJBInUAybo"
      },
      "source": [
        "log_returns = np.log(Close/Close.shift())                                                   #Log returns of the 'Close' of the 4 Stocks"
      ],
      "execution_count": 122,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BHpNeeSUA7dD"
      },
      "source": [
        "n = 5000                                                                              #Running 5000 iterations for the simulation\n",
        " \n",
        "weights = np.zeros((n, 14))\n",
        "exp_rtns = np.zeros(n)                                                                #Expected Returns\n",
        "exp_vols = np.zeros(n)                                                                #Expected Volatility\n",
        "sharpe_ratios = np.zeros(n)\n",
        " \n",
        "for i in range(n):\n",
        "    weight = np.random.random(14)\n",
        "    weight /= weight.sum()\n",
        "    weights[i] = weight\n",
        "     \n",
        "    exp_rtns[i] = np.sum(log_returns.mean()*weight)*252\n",
        "    exp_vols[i] = np.sqrt(np.dot(weight.T, np.dot(log_returns.cov()*252, weight)))\n",
        "    sharpe_ratios[i] = exp_rtns[i] / exp_vols[i]"
      ],
      "execution_count": 125,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "3Cd8AyTvBNS2",
        "outputId": "67dbf2d3-1206-4110-b0d3-9e2e78707d43"
      },
      "source": [
        "weights[sharpe_ratios.argmax()]"
      ],
      "execution_count": 126,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([0.01121244, 0.06616769, 0.1643222 , 0.03440173, 0.04890052,\n",
              "       0.07665988, 0.0141049 , 0.12318764, 0.17699462, 0.07013569,\n",
              "       0.01573569, 0.03012363, 0.05667001, 0.11138338])"
            ]
          },
          "metadata": {},
          "execution_count": 126
        }
      ]
    }
  ]
}