ASX5.ipynb

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  "metadata": {
    "colab": {
      "name": "ASX5.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "authorship_tag": "ABX9TyMXgSWXhj4HwbU70lag6rRi",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "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/ASX5.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "S5Rxc7GotW2S"
      },
      "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",
        "\n",
        "import requests"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "OigCcxkHtkE-"
      },
      "source": [
        "apt =  yf.Ticker(\"APT.AX\")      #AFTERPAY LTD\n",
        "col =  yf.Ticker(\"COL.AX\")      #COLES GROUP LTD\n",
        "wow =  yf.Ticker(\"WOW.AX\")      #WOOLWORTHS GROUP LTD\n",
        "tls =  yf.Ticker(\"TLS.AX\")      #TELSTRA CORPORATION LTD\n",
        "art =  yf.Ticker(\"ART.AX\")      #AIRTASKER LTD"
      ],
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "hBBfWZ8juSnq"
      },
      "source": [
        "#Stock Information"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "bjZmZ1wVuUyE",
        "outputId": "da57a1b0-1ae3-41d5-8192-8d944babc9e7"
      },
      "source": [
        "apt.info"
      ],
      "execution_count": 38,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'52WeekChange': 0.14819491,\n",
              " 'SandP52WeekChange': 0.26866078,\n",
              " 'address1': '406 Collins Street',\n",
              " 'address2': 'Level 5',\n",
              " 'algorithm': None,\n",
              " 'annualHoldingsTurnover': None,\n",
              " 'annualReportExpenseRatio': None,\n",
              " 'ask': 109.25,\n",
              " 'askSize': 8900,\n",
              " 'averageDailyVolume10Day': 801115,\n",
              " 'averageVolume': 832721,\n",
              " 'averageVolume10days': 801115,\n",
              " 'beta': 1.973724,\n",
              " 'beta3Year': None,\n",
              " 'bid': 109.09,\n",
              " 'bidSize': 24300,\n",
              " 'bookValue': 4.504,\n",
              " 'category': None,\n",
              " 'circulatingSupply': None,\n",
              " 'city': 'Melbourne',\n",
              " 'companyOfficers': [],\n",
              " 'country': 'Australia',\n",
              " 'currency': 'AUD',\n",
              " 'currentPrice': 109.09,\n",
              " 'currentRatio': 8.168,\n",
              " 'dateShortInterest': None,\n",
              " 'dayHigh': 111.99,\n",
              " 'dayLow': 109.04,\n",
              " 'debtToEquity': 101.279,\n",
              " 'dividendRate': None,\n",
              " 'dividendYield': None,\n",
              " 'earningsGrowth': None,\n",
              " 'earningsQuarterlyGrowth': None,\n",
              " 'ebitda': -53229000,\n",
              " 'ebitdaMargins': -0.06367,\n",
              " 'enterpriseToEbitda': -597.26,\n",
              " 'enterpriseToRevenue': 38.026,\n",
              " 'enterpriseValue': 31791570944,\n",
              " 'exDividendDate': None,\n",
              " 'exchange': 'ASX',\n",
              " 'exchangeTimezoneName': 'Australia/Sydney',\n",
              " 'exchangeTimezoneShortName': 'AEDT',\n",
              " 'expireDate': None,\n",
              " 'fiftyDayAverage': 120.4212,\n",
              " 'fiftyTwoWeekHigh': 160.05,\n",
              " 'fiftyTwoWeekLow': 81.85,\n",
              " 'financialCurrency': 'AUD',\n",
              " 'fiveYearAverageReturn': None,\n",
              " 'fiveYearAvgDividendYield': None,\n",
              " 'floatShares': 227536488,\n",
              " 'forwardEps': 0.29,\n",
              " 'forwardPE': 376.17242,\n",
              " 'freeCashflow': -592948224,\n",
              " 'fromCurrency': None,\n",
              " 'fullTimeEmployees': 1300,\n",
              " 'fundFamily': None,\n",
              " 'fundInceptionDate': None,\n",
              " 'gmtOffSetMilliseconds': '39600000',\n",
              " 'grossMargins': 0.70149004,\n",
              " 'grossProfits': 586482000,\n",
              " 'heldPercentInsiders': 0.2258,\n",
              " 'heldPercentInstitutions': 0.31944,\n",
              " 'impliedSharesOutstanding': 289312992,\n",
              " 'industry': 'Software—Infrastructure',\n",
              " 'isEsgPopulated': False,\n",
              " 'lastCapGain': None,\n",
              " 'lastDividendDate': None,\n",
              " 'lastDividendValue': None,\n",
              " 'lastFiscalYearEnd': 1625011200,\n",
              " 'lastMarket': None,\n",
              " 'lastSplitDate': None,\n",
              " 'lastSplitFactor': None,\n",
              " 'legalType': None,\n",
              " 'logo_url': 'https://logo.clearbit.com/afterpay.com',\n",
              " 'longBusinessSummary': \"Afterpay Limited, together with its subsidiaries, provides payments solutions to customers, merchants, and businesses. Its Afterpay Asia Pacific segment operates the Afterpay platforms in Australia, New Zealand, and Asia. The company's Afterpay North America segment operates the Afterpay platforms in the United States and Canada. Its Clearpay segment operates the Clearpay platforms in the United Kingdom and Europe. The company's Pay Now segment provides mobility, health, and e-services. The company was formerly known as Afterpay Touch Group Limited and changed its name to Afterpay Limited in November 2019. Afterpay Limited was incorporated in 2017 and is based in Melbourne, Australia.\",\n",
              " 'longName': 'Afterpay Limited',\n",
              " 'market': 'au_market',\n",
              " 'marketCap': 31800934400,\n",
              " 'maxAge': 1,\n",
              " 'maxSupply': None,\n",
              " 'messageBoardId': 'finmb_327168517',\n",
              " 'morningStarOverallRating': None,\n",
              " 'morningStarRiskRating': None,\n",
              " 'mostRecentQuarter': 1625011200,\n",
              " 'navPrice': None,\n",
              " 'netIncomeToCommon': -156298000,\n",
              " 'nextFiscalYearEnd': 1688083200,\n",
              " 'numberOfAnalystOpinions': 15,\n",
              " 'open': 111.9,\n",
              " 'openInterest': None,\n",
              " 'operatingCashflow': -571195008,\n",
              " 'operatingMargins': -0.07196,\n",
              " 'payoutRatio': 0,\n",
              " 'pegRatio': -3.31,\n",
              " 'phone': '1300 100 729',\n",
              " 'preMarketPrice': None,\n",
              " 'previousClose': 111.74,\n",
              " 'priceHint': 2,\n",
              " 'priceToBook': 24.220692,\n",
              " 'priceToSalesTrailing12Months': 38.0373,\n",
              " 'profitMargins': -0.18695,\n",
              " 'quickRatio': 8.11,\n",
              " 'quoteType': 'EQUITY',\n",
              " 'recommendationKey': 'buy',\n",
              " 'recommendationMean': 2.4,\n",
              " 'regularMarketDayHigh': 111.99,\n",
              " 'regularMarketDayLow': 109.04,\n",
              " 'regularMarketOpen': 111.9,\n",
              " 'regularMarketPreviousClose': 111.74,\n",
              " 'regularMarketPrice': 109.09,\n",
              " 'regularMarketVolume': 681411,\n",
              " 'returnOnAssets': -0.01591,\n",
              " 'returnOnEquity': -0.14167,\n",
              " 'revenueGrowth': 0.572,\n",
              " 'revenuePerShare': 2.936,\n",
              " 'revenueQuarterlyGrowth': None,\n",
              " 'sector': 'Technology',\n",
              " 'sharesOutstanding': 291511008,\n",
              " 'sharesPercentSharesOut': None,\n",
              " 'sharesShort': None,\n",
              " 'sharesShortPreviousMonthDate': None,\n",
              " 'sharesShortPriorMonth': None,\n",
              " 'shortName': 'AFTERPAY FPO',\n",
              " 'shortPercentOfFloat': None,\n",
              " 'shortRatio': None,\n",
              " 'startDate': None,\n",
              " 'state': 'VIC',\n",
              " 'strikePrice': None,\n",
              " 'symbol': 'APT.AX',\n",
              " 'targetHighPrice': 175,\n",
              " 'targetLowPrice': 40,\n",
              " 'targetMeanPrice': 140.7,\n",
              " 'targetMedianPrice': 146.32,\n",
              " 'threeYearAverageReturn': None,\n",
              " 'toCurrency': None,\n",
              " 'totalAssets': None,\n",
              " 'totalCash': 1173934976,\n",
              " 'totalCashPerShare': 4.047,\n",
              " 'totalDebt': 1320583040,\n",
              " 'totalRevenue': 836046016,\n",
              " 'tradeable': False,\n",
              " 'trailingAnnualDividendRate': None,\n",
              " 'trailingAnnualDividendYield': None,\n",
              " 'trailingEps': -0.55,\n",
              " 'twoHundredDayAverage': 116.2805,\n",
              " 'volume': 681411,\n",
              " 'volume24Hr': None,\n",
              " 'volumeAllCurrencies': None,\n",
              " 'website': 'http://www.afterpay.com',\n",
              " 'yield': None,\n",
              " 'ytdReturn': None,\n",
              " 'zip': '3000'}"
            ]
          },
          "metadata": {},
          "execution_count": 38
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Gi3IyqQQuW1G"
      },
      "source": [
        "col.info"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UxuOydyBuYAh"
      },
      "source": [
        "wow.info"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "j9gMzO1CuZmw"
      },
      "source": [
        "tls.info"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4Bx-BM9yuauy"
      },
      "source": [
        "art.info"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ZxHEGVzqud-O"
      },
      "source": [
        "#Cashflow"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 635
        },
        "id": "H5eTFecDuggi",
        "outputId": "5d06eddb-4aa7-470b-db83-f054659d075c"
      },
      "source": [
        "apt.cashflow"
      ],
      "execution_count": 39,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>2021-06-30</th>\n",
              "      <th>2020-06-30</th>\n",
              "      <th>2019-06-30</th>\n",
              "      <th>2018-06-30</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Investments</th>\n",
              "      <td>-2.765300e+07</td>\n",
              "      <td>-4528000.0</td>\n",
              "      <td>-866000.0</td>\n",
              "      <td>-2165000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Change To Liabilities</th>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>10331000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Total Cashflows From Investing Activities</th>\n",
              "      <td>-1.109090e+08</td>\n",
              "      <td>-48647000.0</td>\n",
              "      <td>-16290000.0</td>\n",
              "      <td>-14222000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Net Borrowings</th>\n",
              "      <td>1.060961e+09</td>\n",
              "      <td>410114000.0</td>\n",
              "      <td>-111505000.0</td>\n",
              "      <td>114663000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Total Cash From Financing Activities</th>\n",
              "      <td>1.220401e+09</td>\n",
              "      <td>649448000.0</td>\n",
              "      <td>357133000.0</td>\n",
              "      <td>113782000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Change To Operating Activities</th>\n",
              "      <td>7.738400e+07</td>\n",
              "      <td>61522000.0</td>\n",
              "      <td>70945000.0</td>\n",
              "      <td>2424000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Issuance Of Stock</th>\n",
              "      <td>8.135670e+08</td>\n",
              "      <td>263562000.0</td>\n",
              "      <td>472900000.0</td>\n",
              "      <td>20976000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Net Income</th>\n",
              "      <td>-1.562980e+08</td>\n",
              "      <td>-19780000.0</td>\n",
              "      <td>-42861000.0</td>\n",
              "      <td>-8976000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Change In Cash</th>\n",
              "      <td>5.411060e+08</td>\n",
              "      <td>374585000.0</td>\n",
              "      <td>198897000.0</td>\n",
              "      <td>2957000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Effect Of Exchange Rate</th>\n",
              "      <td>2.809000e+06</td>\n",
              "      <td>7737000.0</td>\n",
              "      <td>246000.0</td>\n",
              "      <td>1627000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Total Cash From Operating Activities</th>\n",
              "      <td>-5.711950e+08</td>\n",
              "      <td>-233953000.0</td>\n",
              "      <td>-142192000.0</td>\n",
              "      <td>-98230000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Depreciation</th>\n",
              "      <td>1.368100e+07</td>\n",
              "      <td>11006000.0</td>\n",
              "      <td>9002000.0</td>\n",
              "      <td>6710000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Other Cashflows From Investing Activities</th>\n",
              "      <td>9.490000e+05</td>\n",
              "      <td>1476000.0</td>\n",
              "      <td>686000.0</td>\n",
              "      <td>524000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Change To Account Receivables</th>\n",
              "      <td>-6.721770e+08</td>\n",
              "      <td>-329196000.0</td>\n",
              "      <td>-221478000.0</td>\n",
              "      <td>-140683000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Other Cashflows From Financing Activities</th>\n",
              "      <td>-6.541270e+08</td>\n",
              "      <td>-24228000.0</td>\n",
              "      <td>-4262000.0</td>\n",
              "      <td>-21857000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Change To Netincome</th>\n",
              "      <td>1.409070e+08</td>\n",
              "      <td>23466000.0</td>\n",
              "      <td>28831000.0</td>\n",
              "      <td>21345000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Capital Expenditures</th>\n",
              "      <td>-4.353000e+06</td>\n",
              "      <td>-3389000.0</td>\n",
              "      <td>-2070000.0</td>\n",
              "      <td>-1082000.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                             2021-06-30  ...   2018-06-30\n",
              "Investments                               -2.765300e+07  ...   -2165000.0\n",
              "Change To Liabilities                      0.000000e+00  ...   10331000.0\n",
              "Total Cashflows From Investing Activities -1.109090e+08  ...  -14222000.0\n",
              "Net Borrowings                             1.060961e+09  ...  114663000.0\n",
              "Total Cash From Financing Activities       1.220401e+09  ...  113782000.0\n",
              "Change To Operating Activities             7.738400e+07  ...    2424000.0\n",
              "Issuance Of Stock                          8.135670e+08  ...   20976000.0\n",
              "Net Income                                -1.562980e+08  ...   -8976000.0\n",
              "Change In Cash                             5.411060e+08  ...    2957000.0\n",
              "Effect Of Exchange Rate                    2.809000e+06  ...    1627000.0\n",
              "Total Cash From Operating Activities      -5.711950e+08  ...  -98230000.0\n",
              "Depreciation                               1.368100e+07  ...    6710000.0\n",
              "Other Cashflows From Investing Activities  9.490000e+05  ...     524000.0\n",
              "Change To Account Receivables             -6.721770e+08  ... -140683000.0\n",
              "Other Cashflows From Financing Activities -6.541270e+08  ...  -21857000.0\n",
              "Change To Netincome                        1.409070e+08  ...   21345000.0\n",
              "Capital Expenditures                      -4.353000e+06  ...   -1082000.0\n",
              "\n",
              "[17 rows x 4 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 39
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DAh98oFJuiRu"
      },
      "source": [
        "col.cashflow"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pdJc63sVujvv"
      },
      "source": [
        "wow.cashflow"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "y-upYt4hulFZ"
      },
      "source": [
        "tls.cashflow"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "x12YKr46umlp"
      },
      "source": [
        "art.cashflow"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "NhwmvMqguwJx"
      },
      "source": [
        "#Balance Sheet"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 865
        },
        "id": "ZCMD17HTuxvy",
        "outputId": "104671c3-1aca-4857-a428-7b86569859a1"
      },
      "source": [
        "apt.balance_sheet"
      ],
      "execution_count": 40,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>2021-06-30</th>\n",
              "      <th>2020-06-30</th>\n",
              "      <th>2019-06-30</th>\n",
              "      <th>2018-06-30</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Intangible Assets</th>\n",
              "      <td>1.152170e+08</td>\n",
              "      <td>6.678200e+07</td>\n",
              "      <td>49265000.0</td>\n",
              "      <td>48920000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Total Liab</th>\n",
              "      <td>1.812321e+09</td>\n",
              "      <td>6.621750e+08</td>\n",
              "      <td>171952000.0</td>\n",
              "      <td>208670000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Total Stockholder Equity</th>\n",
              "      <td>1.303093e+09</td>\n",
              "      <td>9.436730e+08</td>\n",
              "      <td>645559000.0</td>\n",
              "      <td>183555000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Minority Interest</th>\n",
              "      <td>8.130000e+05</td>\n",
              "      <td>2.678000e+06</td>\n",
              "      <td>2957000.0</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Other Current Liab</th>\n",
              "      <td>6.614000e+06</td>\n",
              "      <td>1.382000e+06</td>\n",
              "      <td>5470000.0</td>\n",
              "      <td>1834000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Total Assets</th>\n",
              "      <td>3.116227e+09</td>\n",
              "      <td>1.608526e+09</td>\n",
              "      <td>820468000.0</td>\n",
              "      <td>392225000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Common Stock</th>\n",
              "      <td>2.204450e+09</td>\n",
              "      <td>9.753170e+08</td>\n",
              "      <td>674769000.0</td>\n",
              "      <td>192628000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Other Current Assets</th>\n",
              "      <td>1.878000e+07</td>\n",
              "      <td>6.695000e+06</td>\n",
              "      <td>9130000.0</td>\n",
              "      <td>31559000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Retained Earnings</th>\n",
              "      <td>-2.466530e+08</td>\n",
              "      <td>-9.035500e+07</td>\n",
              "      <td>-70575000.0</td>\n",
              "      <td>-22195000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Other Liab</th>\n",
              "      <td>1.685420e+08</td>\n",
              "      <td>3.856000e+06</td>\n",
              "      <td>1921000.0</td>\n",
              "      <td>522000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Good Will</th>\n",
              "      <td>1.122960e+08</td>\n",
              "      <td>3.980700e+07</td>\n",
              "      <td>39807000.0</td>\n",
              "      <td>23575000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Treasury Stock</th>\n",
              "      <td>-6.547040e+08</td>\n",
              "      <td>5.871100e+07</td>\n",
              "      <td>41365000.0</td>\n",
              "      <td>13122000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Other Assets</th>\n",
              "      <td>1.620920e+08</td>\n",
              "      <td>7.846100e+07</td>\n",
              "      <td>27860000.0</td>\n",
              "      <td>10136000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Cash</th>\n",
              "      <td>1.147147e+09</td>\n",
              "      <td>6.060410e+08</td>\n",
              "      <td>231456000.0</td>\n",
              "      <td>32559000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Total Current Liabilities</th>\n",
              "      <td>3.253970e+08</td>\n",
              "      <td>1.935520e+08</td>\n",
              "      <td>119808000.0</td>\n",
              "      <td>46593000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Deferred Long Term Asset Charges</th>\n",
              "      <td>1.561270e+08</td>\n",
              "      <td>7.829100e+07</td>\n",
              "      <td>27280000.0</td>\n",
              "      <td>9261000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Other Stockholder Equity</th>\n",
              "      <td>-6.547040e+08</td>\n",
              "      <td>5.871100e+07</td>\n",
              "      <td>41365000.0</td>\n",
              "      <td>13122000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Property Plant Equipment</th>\n",
              "      <td>4.207000e+07</td>\n",
              "      <td>1.212600e+07</td>\n",
              "      <td>4213000.0</td>\n",
              "      <td>4008000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Total Current Assets</th>\n",
              "      <td>2.657757e+09</td>\n",
              "      <td>1.405291e+09</td>\n",
              "      <td>696288000.0</td>\n",
              "      <td>303421000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Long Term Investments</th>\n",
              "      <td>2.679500e+07</td>\n",
              "      <td>6.059000e+06</td>\n",
              "      <td>3035000.0</td>\n",
              "      <td>2165000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Net Tangible Assets</th>\n",
              "      <td>1.075580e+09</td>\n",
              "      <td>8.370840e+08</td>\n",
              "      <td>556487000.0</td>\n",
              "      <td>111060000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Short Term Investments</th>\n",
              "      <td>2.678800e+07</td>\n",
              "      <td>1.066000e+07</td>\n",
              "      <td>3003000.0</td>\n",
              "      <td>235000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Net Receivables</th>\n",
              "      <td>1.465042e+09</td>\n",
              "      <td>7.818950e+08</td>\n",
              "      <td>452699000.0</td>\n",
              "      <td>239068000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Long Term Debt</th>\n",
              "      <td>1.286383e+09</td>\n",
              "      <td>4.616000e+08</td>\n",
              "      <td>49881000.0</td>\n",
              "      <td>161162000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Accounts Payable</th>\n",
              "      <td>3.062590e+08</td>\n",
              "      <td>1.826130e+08</td>\n",
              "      <td>111753000.0</td>\n",
              "      <td>42916000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Short Long Term Debt</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>50000.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                    2021-06-30  ...   2018-06-30\n",
              "Intangible Assets                 1.152170e+08  ...   48920000.0\n",
              "Total Liab                        1.812321e+09  ...  208670000.0\n",
              "Total Stockholder Equity          1.303093e+09  ...  183555000.0\n",
              "Minority Interest                 8.130000e+05  ...          NaN\n",
              "Other Current Liab                6.614000e+06  ...    1834000.0\n",
              "Total Assets                      3.116227e+09  ...  392225000.0\n",
              "Common Stock                      2.204450e+09  ...  192628000.0\n",
              "Other Current Assets              1.878000e+07  ...   31559000.0\n",
              "Retained Earnings                -2.466530e+08  ...  -22195000.0\n",
              "Other Liab                        1.685420e+08  ...     522000.0\n",
              "Good Will                         1.122960e+08  ...   23575000.0\n",
              "Treasury Stock                   -6.547040e+08  ...   13122000.0\n",
              "Other Assets                      1.620920e+08  ...   10136000.0\n",
              "Cash                              1.147147e+09  ...   32559000.0\n",
              "Total Current Liabilities         3.253970e+08  ...   46593000.0\n",
              "Deferred Long Term Asset Charges  1.561270e+08  ...    9261000.0\n",
              "Other Stockholder Equity         -6.547040e+08  ...   13122000.0\n",
              "Property Plant Equipment          4.207000e+07  ...    4008000.0\n",
              "Total Current Assets              2.657757e+09  ...  303421000.0\n",
              "Long Term Investments             2.679500e+07  ...    2165000.0\n",
              "Net Tangible Assets               1.075580e+09  ...  111060000.0\n",
              "Short Term Investments            2.678800e+07  ...     235000.0\n",
              "Net Receivables                   1.465042e+09  ...  239068000.0\n",
              "Long Term Debt                    1.286383e+09  ...  161162000.0\n",
              "Accounts Payable                  3.062590e+08  ...   42916000.0\n",
              "Short Long Term Debt                       NaN  ...      50000.0\n",
              "\n",
              "[26 rows x 4 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 40
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "uXtTez5Uu0rM"
      },
      "source": [
        "col.balance_sheet"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "d2eXAGYuu17A"
      },
      "source": [
        "wow.balance_sheet"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QLAxWyRNu3QQ"
      },
      "source": [
        "tls.balance_sheet"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xiv46CZBu4ah"
      },
      "source": [
        "art.balance_sheet"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "bYicPzagvAll"
      },
      "source": [
        "#Data"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HaTZQvjkvB9X"
      },
      "source": [
        "aptdata=yf.download(\"APT.AX\", period='max')\n",
        "coldata=yf.download(\"COL.AX\", period='max')\n",
        "wowdata=yf.download(\"WOW.AX\", period='max')\n",
        "tlsdata=yf.download(\"TLS.AX\", period='max')\n",
        "artdata=yf.download(\"ART.AX\", period='max')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "5XSDLrc7vW_H"
      },
      "source": [
        "#5 Year Stock Price Graphs"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 310
        },
        "id": "zYQK_tGSvWbO",
        "outputId": "b738de0a-32e4-4216-fad4-4451e759a909"
      },
      "source": [
        "aptticker = yf.Ticker('APT.AX')\n",
        "apt_df    = aptticker.history(period=\"5y\")\n",
        "apt_df.rename(columns = {'Close':'APT Close'}, inplace = True)\n",
        "apt_df['APT Close'].plot(title=\"Afterpay Stock Price\")"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f138a1893d0>"
            ]
          },
          "metadata": {},
          "execution_count": 14
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 310
        },
        "id": "LPfxZ-Rgva1R",
        "outputId": "ecb54548-cd80-4bbd-d093-c628a3c60ad6"
      },
      "source": [
        "colticker = yf.Ticker('COL.AX')\n",
        "col_df    = colticker.history(period=\"5y\")\n",
        "col_df.rename(columns = {'Close':'COL Close'}, inplace = True)\n",
        "col_df['COL Close'].plot(title=\"Coles Group Stock Price\")"
      ],
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f138a30f910>"
            ]
          },
          "metadata": {},
          "execution_count": 15
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 302
        },
        "id": "eD4y0bfhvbcc",
        "outputId": "64279581-c2c5-4af1-a234-4a9164d24c6e"
      },
      "source": [
        "wowticker = yf.Ticker('WOW.AX')\n",
        "wow_df    = wowticker.history(period=\"5y\")\n",
        "wow_df.rename(columns = {'Close':'WOW Close'}, inplace = True)\n",
        "wow_df['WOW Close'].plot(title=\"Woolworths Group Stock Price\")"
      ],
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f138bea7e10>"
            ]
          },
          "metadata": {},
          "execution_count": 16
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 302
        },
        "id": "wO7ILbW2vcEd",
        "outputId": "5bd0e22a-6be6-405c-a947-cb7ec7116f93"
      },
      "source": [
        "tlsticker = yf.Ticker('TLS.AX')\n",
        "tls_df    = tlsticker.history(period=\"5y\")\n",
        "tls_df.rename(columns = {'Close':'TLS Close'}, inplace = True)\n",
        "tls_df['TLS Close'].plot(title=\"Telstra Corporation Stock Price\")"
      ],
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f13893bad50>"
            ]
          },
          "metadata": {},
          "execution_count": 17
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 310
        },
        "id": "7YsZhnatvcf9",
        "outputId": "18d5bd48-9d1b-4425-e0ee-c6d7ebe5a6cd"
      },
      "source": [
        "artticker = yf.Ticker('ART.AX')\n",
        "art_df    = artticker.history(period=\"5y\")\n",
        "art_df.rename(columns = {'Close':'ART Close'}, inplace = True)\n",
        "art_df['ART Close'].plot(title=\"Airtasker Stock Price\")"
      ],
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f13892d0d50>"
            ]
          },
          "metadata": {},
          "execution_count": 18
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dt2FP3HGwjzO"
      },
      "source": [
        "import pandas as pd\n",
        "df = pd.concat([apt_df['APT Close'], col_df['COL Close'], wow_df['WOW Close'],tls_df['TLS Close'], art_df['ART Close']], axis=1)"
      ],
      "execution_count": 19,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 238
        },
        "id": "OARUr2qyw6tr",
        "outputId": "4bb1efad-37fa-4096-f0b9-eee35663e606"
      },
      "source": [
        "df.head()"
      ],
      "execution_count": 20,
      "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>APT Close</th>\n",
              "      <th>COL Close</th>\n",
              "      <th>WOW Close</th>\n",
              "      <th>TLS Close</th>\n",
              "      <th>ART Close</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",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2016-11-28</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>20.324518</td>\n",
              "      <td>4.347471</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2016-11-29</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>20.149683</td>\n",
              "      <td>4.347471</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2016-11-30</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>20.009815</td>\n",
              "      <td>4.356097</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2016-12-01</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>20.228355</td>\n",
              "      <td>4.312967</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2016-12-02</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>20.053524</td>\n",
              "      <td>4.269837</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "            APT Close  COL Close  WOW Close  TLS Close  ART Close\n",
              "Date                                                             \n",
              "2016-11-28        NaN        NaN  20.324518   4.347471        NaN\n",
              "2016-11-29        NaN        NaN  20.149683   4.347471        NaN\n",
              "2016-11-30        NaN        NaN  20.009815   4.356097        NaN\n",
              "2016-12-01        NaN        NaN  20.228355   4.312967        NaN\n",
              "2016-12-02        NaN        NaN  20.053524   4.269837        NaN"
            ]
          },
          "metadata": {},
          "execution_count": 20
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "pwy3pnGIxA8e"
      },
      "source": [
        "#5 year plot for comparison"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 373
        },
        "id": "tBqKXFBPxDvv",
        "outputId": "ebd1a58e-290a-440c-a3e6-138a95bdad8e"
      },
      "source": [
        "import matplotlib as plt\n",
        "df.plot()\n",
        "fig = plt.pyplot.gcf()\n",
        "fig.set_size_inches(18.5, 10.5)"
      ],
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1332x756 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "V3oLtTUqxJ63"
      },
      "source": [
        "returns=df.pct_change()"
      ],
      "execution_count": 22,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 238
        },
        "id": "o1M-iy0kxMKc",
        "outputId": "837ca91f-32f8-40e1-b9e0-7adfb7f9659a"
      },
      "source": [
        "returns.tail()"
      ],
      "execution_count": 23,
      "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>APT Close</th>\n",
              "      <th>COL Close</th>\n",
              "      <th>WOW Close</th>\n",
              "      <th>TLS Close</th>\n",
              "      <th>ART Close</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",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2021-11-22</th>\n",
              "      <td>-0.024652</td>\n",
              "      <td>0.007218</td>\n",
              "      <td>0.006464</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-11-23</th>\n",
              "      <td>-0.053721</td>\n",
              "      <td>0.004410</td>\n",
              "      <td>0.007905</td>\n",
              "      <td>0.002463</td>\n",
              "      <td>-0.009709</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-11-24</th>\n",
              "      <td>-0.001861</td>\n",
              "      <td>-0.007135</td>\n",
              "      <td>-0.000245</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>-0.024510</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-11-25</th>\n",
              "      <td>0.041865</td>\n",
              "      <td>-0.001106</td>\n",
              "      <td>-0.007110</td>\n",
              "      <td>0.002457</td>\n",
              "      <td>-0.015075</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-11-26</th>\n",
              "      <td>-0.023716</td>\n",
              "      <td>-0.003320</td>\n",
              "      <td>-0.004691</td>\n",
              "      <td>-0.007353</td>\n",
              "      <td>-0.005102</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "            APT Close  COL Close  WOW Close  TLS Close  ART Close\n",
              "Date                                                             \n",
              "2021-11-22  -0.024652   0.007218   0.006464   0.000000   0.000000\n",
              "2021-11-23  -0.053721   0.004410   0.007905   0.002463  -0.009709\n",
              "2021-11-24  -0.001861  -0.007135  -0.000245   0.000000  -0.024510\n",
              "2021-11-25   0.041865  -0.001106  -0.007110   0.002457  -0.015075\n",
              "2021-11-26  -0.023716  -0.003320  -0.004691  -0.007353  -0.005102"
            ]
          },
          "metadata": {},
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wAgZlOw3xR0e"
      },
      "source": [
        "#Setting up a hypothetical portfolio"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "D21aT1vcxRIr"
      },
      "source": [
        "import numpy as np\n",
        "weights   = np.array([.20, .20, .20, .20, .20]) #Allocating equal weights to the stocks in our portfolio\n",
        "initinv   = 1000000 #Initial investment in dollars"
      ],
      "execution_count": 24,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "8jvGDdW5xcCE",
        "outputId": "cd9b9cb3-8e55-4487-c996-60163a7785c9"
      },
      "source": [
        "cov_matrix = returns.cov()\n",
        "cov_matrix"
      ],
      "execution_count": 25,
      "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>APT Close</th>\n",
              "      <th>COL Close</th>\n",
              "      <th>WOW Close</th>\n",
              "      <th>TLS Close</th>\n",
              "      <th>ART Close</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>APT Close</th>\n",
              "      <td>0.002129</td>\n",
              "      <td>0.000160</td>\n",
              "      <td>0.000090</td>\n",
              "      <td>0.000087</td>\n",
              "      <td>0.000277</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>COL Close</th>\n",
              "      <td>0.000160</td>\n",
              "      <td>0.000229</td>\n",
              "      <td>0.000134</td>\n",
              "      <td>0.000086</td>\n",
              "      <td>0.000046</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>WOW Close</th>\n",
              "      <td>0.000090</td>\n",
              "      <td>0.000134</td>\n",
              "      <td>0.000160</td>\n",
              "      <td>0.000060</td>\n",
              "      <td>0.000053</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>TLS Close</th>\n",
              "      <td>0.000087</td>\n",
              "      <td>0.000086</td>\n",
              "      <td>0.000060</td>\n",
              "      <td>0.000202</td>\n",
              "      <td>-0.000034</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ART Close</th>\n",
              "      <td>0.000277</td>\n",
              "      <td>0.000046</td>\n",
              "      <td>0.000053</td>\n",
              "      <td>-0.000034</td>\n",
              "      <td>0.004003</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "           APT Close  COL Close  WOW Close  TLS Close  ART Close\n",
              "APT Close   0.002129   0.000160   0.000090   0.000087   0.000277\n",
              "COL Close   0.000160   0.000229   0.000134   0.000086   0.000046\n",
              "WOW Close   0.000090   0.000134   0.000160   0.000060   0.000053\n",
              "TLS Close   0.000087   0.000086   0.000060   0.000202  -0.000034\n",
              "ART Close   0.000277   0.000046   0.000053  -0.000034   0.004003"
            ]
          },
          "metadata": {},
          "execution_count": 25
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4q-0IpVjxfVp",
        "outputId": "6e243dde-1513-4270-902a-b33e50248f01"
      },
      "source": [
        "avgreturns = returns.mean()\n",
        "avgreturns"
      ],
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "APT Close    0.004357\n",
              "COL Close    0.000671\n",
              "WOW Close    0.000622\n",
              "TLS Close    0.000046\n",
              "ART Close    0.001203\n",
              "dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 26
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gFUb_mimxifN"
      },
      "source": [
        "portfoliomean  = avgreturns.dot(weights)\n",
        "portfoliostd   = np.sqrt(weights.T.dot(cov_matrix).dot(weights))  \n",
        "invmean        = (1+portfoliomean) * initinv\n",
        "invstd         = initinv * portfoliostd  "
      ],
      "execution_count": 29,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YiBw9b31xnTE"
      },
      "source": [
        "from scipy.stats import norm\n",
        "conf = 0.05\n",
        "confcutoff = norm.ppf(conf, invmean, invstd) \n",
        "var = initinv - confcutoff      "
      ],
      "execution_count": 30,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "yZutyX4rx3-v",
        "outputId": "314edc2c-9087-45e8-bece-2d1a04096cfb"
      },
      "source": [
        "var"
      ],
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "29198.582830677507"
            ]
          },
          "metadata": {},
          "execution_count": 31
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "fGTmvrgpx97k"
      },
      "source": [
        "#Interpretation\n",
        "\n",
        "The VaR value above of 29,198 means that:\n",
        "\n",
        "We can say with 95% confidence that on an initial investment of AUD 1 million, our losses will NOT exceed AUD 29,198."
      ]
    }
  ]
}