modeling_current_price.ipynb

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      "authorship_tag": "ABX9TyOwYqVWNFEURGz9iroEIREm",
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      "name": "python"
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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
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      "source": [
        "<a href=\"https://colab.research.google.com/github/sausis20/Stock-Portfolio-Nasdaq-Baltic/blob/main/modeling_current_price.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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    {
      "cell_type": "markdown",
      "source": [
        "# Import Data and Libraries"
      ],
      "metadata": {
        "id": "-o60EkY70Kdw"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
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          "base_uri": "https://localhost:8080/"
        },
        "id": "gJrE9kVuz8-g",
        "outputId": "f16dd61a-dd91-459c-e51e-c0256e02b5a1"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/gdrive\n"
          ]
        }
      ],
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "sns.set(style=\"darkgrid\")\n",
        "\n",
        "from google.colab import drive\n",
        "drive.mount('/content/gdrive')"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "cd '/content/gdrive/My Drive/Colab Notebooks/Nasdaq OMX Baltic/data/'"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Tm9mxn4I0HMZ",
        "outputId": "0cb9a99a-e234-4789-a25c-261692b06235"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content/gdrive/My Drive/Colab Notebooks/Nasdaq OMX Baltic/data\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df = pd.read_csv('combined_df.csv', index_col=0)"
      ],
      "metadata": {
        "id": "qnQ5vVT90Hkp"
      },
      "execution_count": null,
      "outputs": []
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    {
      "cell_type": "markdown",
      "source": [
        "# Modeling Asset Price and Feature Selection\n",
        "\n",
        "In the first part of the analysis I will model the securities intrinsic prices using the fundamental data found in the companies financial statements, and subsequently compare the model's residuals against the securities returns. The idea behind calculating residuals is a value investing principal of 'margin of safety', which is the difference between the current stock price in the market, vs. the price calculated subjectively by a value investor. We would expect that higher residuals (or in other words, how over or under valued a given security is compared to what the model estimates its value to be) would be correlated to the returns of the securities over the six month period since the data were scraped, as overvalued stocks would see their prices move down as the market adjusts toward their true value, and undervalued stocks would move up.\n",
        "\n",
        "We know that markets are at least partially efficient, meaning that the current prices of assets reliably reflect their value, with some error and noise present. However, it is also reasonable to assume that it takes some time for 'price discovery' to occur, or in other words for sellers and buyers to agree on the new price after the companies fundamental data has been published."
      ],
      "metadata": {
        "id": "vF9ARaiS0Mcq"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Feature Selection\n",
        "The dataset contains a lot of information. Before proceeding, we should eliminate some variables:\n",
        "*   variables that contain information about asset pricing are removed, i.e. 'targetMeanPrice', 'open', 'ask', 'bid', etc. \n",
        "*   variables that do not contain information about the fundamentals of the company are also removed, i.e. 'city', 'phone', 'fax', etc.\n",
        "*   duplicate variables and variables that do not contain fundamental financial information are removed\n"
      ],
      "metadata": {
        "id": "emr0RDwn3yIO"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df.info(verbose=True, show_counts=True)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "VAECDla831DP",
        "outputId": "fde35b25-26a7-4354-bdd3-76f7242e25f9"
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      "execution_count": null,
      "outputs": [
        {
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          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "Index: 30 entries, APG1L.VS to VLP1L.VS\n",
            "Data columns (total 182 columns):\n",
            " #    Column                                        Non-Null Count  Dtype  \n",
            "---   ------                                        --------------  -----  \n",
            " 0    zip                                           30 non-null     int64  \n",
            " 1    sector                                        30 non-null     object \n",
            " 2    fullTimeEmployees                             30 non-null     int64  \n",
            " 3    longBusinessSummary                           30 non-null     object \n",
            " 4    city                                          30 non-null     object \n",
            " 5    phone                                         29 non-null     object \n",
            " 6    country                                       30 non-null     object \n",
            " 7    companyOfficers                               30 non-null     object \n",
            " 8    website                                       30 non-null     object \n",
            " 9    maxAge                                        30 non-null     int64  \n",
            " 10   address1                                      30 non-null     object \n",
            " 11   fax                                           19 non-null     object \n",
            " 12   industry                                      30 non-null     object \n",
            " 13   ebitdaMargins                                 30 non-null     float64\n",
            " 14   profitMargins                                 30 non-null     float64\n",
            " 15   grossMargins                                  30 non-null     float64\n",
            " 16   operatingCashflow                             27 non-null     float64\n",
            " 17   revenueGrowth                                 29 non-null     float64\n",
            " 18   operatingMargins                              30 non-null     float64\n",
            " 19   ebitda                                        25 non-null     float64\n",
            " 20   targetLowPrice                                7 non-null      float64\n",
            " 21   recommendationKey                             30 non-null     object \n",
            " 22   grossProfits                                  30 non-null     int64  \n",
            " 23   freeCashflow                                  24 non-null     float64\n",
            " 24   targetMedianPrice                             7 non-null      float64\n",
            " 25   currentPrice                                  30 non-null     float64\n",
            " 26   earningsGrowth                                19 non-null     float64\n",
            " 27   currentRatio                                  26 non-null     float64\n",
            " 28   returnOnAssets                                29 non-null     float64\n",
            " 29   numberOfAnalystOpinions                       7 non-null      float64\n",
            " 30   targetMeanPrice                               7 non-null      float64\n",
            " 31   debtToEquity                                  25 non-null     float64\n",
            " 32   returnOnEquity                                28 non-null     float64\n",
            " 33   targetHighPrice                               7 non-null      float64\n",
            " 34   totalCash                                     29 non-null     float64\n",
            " 35   totalDebt                                     29 non-null     float64\n",
            " 36   totalRevenue                                  29 non-null     float64\n",
            " 37   totalCashPerShare                             29 non-null     float64\n",
            " 38   financialCurrency                             30 non-null     object \n",
            " 39   revenuePerShare                               30 non-null     float64\n",
            " 40   quickRatio                                    26 non-null     float64\n",
            " 41   recommendationMean                            5 non-null      float64\n",
            " 42   exchange                                      30 non-null     object \n",
            " 43   shortName                                     30 non-null     object \n",
            " 44   longName                                      30 non-null     object \n",
            " 45   exchangeTimezoneName                          30 non-null     object \n",
            " 46   exchangeTimezoneShortName                     30 non-null     object \n",
            " 47   isEsgPopulated                                30 non-null     bool   \n",
            " 48   gmtOffSetMilliseconds                         30 non-null     int64  \n",
            " 49   quoteType                                     30 non-null     object \n",
            " 50   symbol                                        30 non-null     object \n",
            " 51   messageBoardId                                30 non-null     object \n",
            " 52   uuid                                          30 non-null     object \n",
            " 53   market                                        30 non-null     object \n",
            " 54   enterpriseToRevenue                           29 non-null     float64\n",
            " 55   enterpriseToEbitda                            25 non-null     float64\n",
            " 56   forwardEps                                    6 non-null      float64\n",
            " 57   sharesOutstanding                             29 non-null     float64\n",
            " 58   bookValue                                     29 non-null     float64\n",
            " 59   lastFiscalYearEnd                             30 non-null     int64  \n",
            " 60   heldPercentInstitutions                       30 non-null     float64\n",
            " 61   netIncomeToCommon                             29 non-null     float64\n",
            " 62   trailingEps                                   29 non-null     float64\n",
            " 63   priceToBook                                   29 non-null     float64\n",
            " 64   heldPercentInsiders                           30 non-null     float64\n",
            " 65   nextFiscalYearEnd                             30 non-null     int64  \n",
            " 66   mostRecentQuarter                             30 non-null     int64  \n",
            " 67   floatShares                                   28 non-null     float64\n",
            " 68   beta                                          25 non-null     float64\n",
            " 69   enterpriseValue                               30 non-null     int64  \n",
            " 70   priceHint                                     30 non-null     int64  \n",
            " 71   lastSplitDate                                 7 non-null      float64\n",
            " 72   lastSplitFactor                               7 non-null      object \n",
            " 73   earningsQuarterlyGrowth                       21 non-null     float64\n",
            " 74   priceToSalesTrailing12Months                  28 non-null     float64\n",
            " 75   pegRatio                                      1 non-null      float64\n",
            " 76   forwardPE                                     6 non-null      float64\n",
            " 77   previousClose                                 30 non-null     float64\n",
            " 78   regularMarketOpen                             30 non-null     float64\n",
            " 79   twoHundredDayAverage                          30 non-null     float64\n",
            " 80   trailingAnnualDividendYield                   25 non-null     float64\n",
            " 81   payoutRatio                                   28 non-null     float64\n",
            " 82   regularMarketDayHigh                          30 non-null     float64\n",
            " 83   averageDailyVolume10Day                       30 non-null     int64  \n",
            " 84   regularMarketPreviousClose                    30 non-null     float64\n",
            " 85   fiftyDayAverage                               30 non-null     float64\n",
            " 86   trailingAnnualDividendRate                    25 non-null     float64\n",
            " 87   open                                          30 non-null     float64\n",
            " 88   averageVolume10days                           30 non-null     int64  \n",
            " 89   dividendRate                                  18 non-null     float64\n",
            " 90   exDividendDate                                28 non-null     float64\n",
            " 91   regularMarketDayLow                           30 non-null     float64\n",
            " 92   currency                                      30 non-null     object \n",
            " 93   trailingPE                                    24 non-null     float64\n",
            " 94   regularMarketVolume                           30 non-null     int64  \n",
            " 95   marketCap                                     29 non-null     float64\n",
            " 96   averageVolume                                 30 non-null     int64  \n",
            " 97   dayLow                                        30 non-null     float64\n",
            " 98   ask                                           30 non-null     float64\n",
            " 99   askSize                                       24 non-null     float64\n",
            " 100  volume                                        30 non-null     int64  \n",
            " 101  fiftyTwoWeekHigh                              30 non-null     float64\n",
            " 102  fiveYearAvgDividendYield                      6 non-null      float64\n",
            " 103  fiftyTwoWeekLow                               30 non-null     float64\n",
            " 104  bid                                           30 non-null     float64\n",
            " 105  tradeable                                     30 non-null     bool   \n",
            " 106  dividendYield                                 18 non-null     float64\n",
            " 107  bidSize                                       24 non-null     float64\n",
            " 108  dayHigh                                       30 non-null     float64\n",
            " 109  regularMarketPrice                            30 non-null     float64\n",
            " 110  logo_url                                      30 non-null     object \n",
            " 111  address2                                      3 non-null      object \n",
            " 112  Company                                       30 non-null     object \n",
            " 113  IND.                                          30 non-null     object \n",
            " 114  SECT.                                         30 non-null     object \n",
            " 115  Home Market                                   30 non-null     object \n",
            " 116  LP                                            30 non-null     int64  \n",
            " 117  under_obs                                     30 non-null     int64  \n",
            " 118  Intangible Assets                             29 non-null     float64\n",
            " 119  Total Liab                                    30 non-null     float64\n",
            " 120  Total Stockholder Equity                      30 non-null     float64\n",
            " 121  Other Current Liab                            30 non-null     float64\n",
            " 122  Total Assets                                  30 non-null     float64\n",
            " 123  Common Stock                                  30 non-null     float64\n",
            " 124  Retained Earnings                             29 non-null     float64\n",
            " 125  Other Liab                                    25 non-null     float64\n",
            " 126  Gains Losses Not Affecting Retained Earnings  23 non-null     float64\n",
            " 127  Other Assets                                  29 non-null     float64\n",
            " 128  Cash                                          30 non-null     float64\n",
            " 129  Total Current Liabilities                     30 non-null     float64\n",
            " 130  Short Long Term Debt                          25 non-null     float64\n",
            " 131  Other Stockholder Equity                      23 non-null     float64\n",
            " 132  Property Plant Equipment                      30 non-null     float64\n",
            " 133  Total Current Assets                          30 non-null     float64\n",
            " 134  Long Term Investments                         21 non-null     float64\n",
            " 135  Net Tangible Assets                           30 non-null     float64\n",
            " 136  Short Term Investments                        2 non-null      float64\n",
            " 137  Net Receivables                               30 non-null     float64\n",
            " 138  Inventory                                     28 non-null     float64\n",
            " 139  Accounts Payable                              30 non-null     float64\n",
            " 140  Other Current Assets                          20 non-null     float64\n",
            " 141  Long Term Debt                                28 non-null     float64\n",
            " 142  Capital Surplus                               21 non-null     float64\n",
            " 143  Minority Interest                             11 non-null     float64\n",
            " 144  Good Will                                     20 non-null     float64\n",
            " 145  Deferred Long Term Asset Charges              16 non-null     float64\n",
            " 146  Deferred Long Term Liab                       8 non-null      float64\n",
            " 147  Income Before Tax                             30 non-null     float64\n",
            " 148  Net Income                                    30 non-null     float64\n",
            " 149  Selling General Administrative                30 non-null     float64\n",
            " 150  Gross Profit                                  30 non-null     float64\n",
            " 151  Ebit                                          30 non-null     float64\n",
            " 152  Operating Income                              30 non-null     float64\n",
            " 153  Other Operating Expenses                      29 non-null     float64\n",
            " 154  Interest Expense                              26 non-null     float64\n",
            " 155  Income Tax Expense                            30 non-null     float64\n",
            " 156  Total Revenue                                 30 non-null     float64\n",
            " 157  Total Operating Expenses                      30 non-null     float64\n",
            " 158  Cost Of Revenue                               30 non-null     float64\n",
            " 159  Total Other Income Expense Net                30 non-null     float64\n",
            " 160  Discontinued Operations                       2 non-null      float64\n",
            " 161  Net Income From Continuing Ops                30 non-null     float64\n",
            " 162  Net Income Applicable To Common Shares        30 non-null     float64\n",
            " 163  Change To Liabilities                         30 non-null     float64\n",
            " 164  Total Cashflows From Investing Activities     30 non-null     float64\n",
            " 165  Net Borrowings                                30 non-null     float64\n",
            " 166  Total Cash From Financing Activities          30 non-null     float64\n",
            " 167  Change In Cash                                30 non-null     float64\n",
            " 168  Total Cash From Operating Activities          30 non-null     float64\n",
            " 169  Depreciation                                  30 non-null     float64\n",
            " 170  Other Cashflows From Investing Activities     22 non-null     float64\n",
            " 171  Change To Inventory                           23 non-null     float64\n",
            " 172  Change To Account Receivables                 22 non-null     float64\n",
            " 173  Change To Netincome                           30 non-null     float64\n",
            " 174  Capital Expenditures                          29 non-null     float64\n",
            " 175  Dividends Paid                                20 non-null     float64\n",
            " 176  Investments                                   11 non-null     float64\n",
            " 177  Issuance Of Stock                             8 non-null      float64\n",
            " 178  Other Cashflows From Financing Activities     22 non-null     float64\n",
            " 179  Change To Operating Activities                16 non-null     float64\n",
            " 180  Effect Of Exchange Rate                       6 non-null      float64\n",
            " 181  Repurchase Of Stock                           2 non-null      float64\n",
            "dtypes: bool(2), float64(133), int64(17), object(30)\n",
            "memory usage: 42.5+ KB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "to_drop = ['zip', # Not fundamental\n",
        "           'longBusinessSummary', # Not fundamental\n",
        "           'city', # Not fundamental\n",
        "           'phone', # Not fundamental\n",
        "           'companyOfficers', # Not fundamental\n",
        "           'website', # Not fundamental\n",
        "           'maxAge', # Not fundamental\n",
        "           'address1', # Not fundamental\n",
        "           'fax', # Not fundamental\n",
        "           'targetLowPrice', # Price related\n",
        "           'recommendationKey', # Not fundamental\n",
        "           'targetMedianPrice', # Price related\n",
        "           'currentPrice', # Price related\n",
        "           'numberOfAnalystOpinions', # Not fundamental\n",
        "           'targetMeanPrice', # Price related\n",
        "           'targetHighPrice', # Price related\n",
        "           'financialCurrency', # Not fundamental\n",
        "           'recommendationMean', # Price related\n",
        "           'exchange', # Same as country\n",
        "           'shortName', # Not fundamental\n",
        "           'longName', # Not fundamental\n",
        "           'exchangeTimezoneName', # Not fundamental\n",
        "           'exchangeTimezoneShortName', # Not fundamental\n",
        "           'isEsgPopulated', # Not fundamental\n",
        "           'gmtOffSetMilliseconds', # Not fundamental\n",
        "           'quoteType', # Not fundamental\n",
        "           'symbol', # Not fundamental\n",
        "           'messageBoardId', # Not fundamental\n",
        "           'uuid', # Not fundamental\n",
        "           'market', # Not fundamental\n",
        "           'enterpriseToRevenue', # Price related\n",
        "           'enterpriseToEbitda', # Price related\n",
        "           'forwardEps', # Missing too many values\n",
        "           'lastFiscalYearEnd', # Price related\n",
        "           'priceToBook', # Price related\n",
        "           'nextFiscalYearEnd', # Not fundamental\n",
        "           'mostRecentQuarter', # Not fundamental\n",
        "           'enterpriseValue', # Price related\n",
        "           'priceHint', # Price related\n",
        "           'lastSplitDate', # Not fundamental\n",
        "           'lastSplitFactor', # Not fundamental\n",
        "           'priceToSalesTrailing12Months', # Price related\n",
        "           'pegRatio', # Price related\n",
        "           'forwardPE', # Price related\n",
        "           'previousClose', # Price related\n",
        "           'regularMarketOpen', # Price related\n",
        "           'twoHundredDayAverage', # Price related\n",
        "           'regularMarketDayHigh', # Price related\n",
        "           'regularMarketPreviousClose', # Price related\n",
        "           'fiftyDayAverage', # Price related\n",
        "           'open', # Price related\n",
        "           'regularMarketDayLow', # Price related\n",
        "           'currency', # Not fundamental\n",
        "           'trailingPE', # Price related\n",
        "           'marketCap', # Price related\n",
        "           'dayLow', # Price related\n",
        "           'ask', # Price related\n",
        "           'askSize', # Price related\n",
        "           'fiftyTwoWeekHigh', # Price related\n",
        "           'fiftyTwoWeekLow', # Price related\n",
        "           'bid', # Price related\n",
        "           'tradeable', # Not fundamental\n",
        "           'bidSize', # Price related\n",
        "           'dayHigh', # Price related\n",
        "           'regularMarketPrice', # Price related\n",
        "           'logo_url', # Not fundamental\n",
        "           'address2', # Not fundamental\n",
        "           'Company', # Not fundamental\n",
        "           'IND.', # Not fundamental\n",
        "           'SECT.', # Not fundamental\n",
        "           'Home Market', # Not fundamental\n",
        "           'exDividendDate', # Not fundamental\n",
        "           'fiveYearAvgDividendYield', # Missing too many values\n",
        "           'grossProfits', # Duplicate of 'Gross Profit',\n",
        "           'sector', # Not fundamental\n",
        "           'country', # Not fundamental\n",
        "           'industry' # Not fundamental\n",
        "           ]"
      ],
      "metadata": {
        "id": "ciHPbV-_4XCB"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "X = df.drop(columns=to_drop)\n",
        "print(df.shape, X.shape)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xYSb9VRRBHFC",
        "outputId": "1450e11f-2805-4ce4-d752-d5b2d270157e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "(30, 182) (30, 105)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "At this point we have a clean feature set with all continuous numeric variables. It should be noted at this point that multicollinearity is present among the features here, but since we will not be concerning ourselves with feature importances in this task of modeling current price, we do not need to address it, since the accuracy of the model will not be negatively impacted. We will, however, be dealing with multicollinearity in the next task of modeling returns, where feature importances will be examined.\n",
        "\n",
        "We can see that we removed 77 variables and from the initial 182 we have 105 variables left."
      ],
      "metadata": {
        "id": "MH079r2LRvrA"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Inputting Missing Data"
      ],
      "metadata": {
        "id": "vxm7RFTrWGR5"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "We will perform the the missing data input in two steps - for features with NaN values that are coming from the financial statements we will replace missing values with 0, and for the remaining features we will use scikit-learn inputation methods. \n",
        "\n",
        "For example, we see that 'Other Liabilities' and 'Short Term Investments' are present for 25 and 2 companies out of 30 respectively - this means that some companies do not have 'Other Liabilities' or 'Short Term Investments', or in other words, their financial commitments to these categories were 0."
      ],
      "metadata": {
        "id": "D_Df_CU4turE"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import missingno as msno\n",
        "msno.matrix(X, labels=True)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 872
        },
        "id": "nxcMAnJhMzA3",
        "outputId": "f0f024f0-01c2-4e2e-937a-e733cdc35c39"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f3b3ce9b8e0>"
            ]
          },
          "metadata": {},
          "execution_count": 7
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1800x720 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Replace NaN to 0 for all features coming from financial statements\n",
        "X.iloc[:,41:] = X.iloc[:,41:].fillna(0)"
      ],
      "metadata": {
        "id": "kasSL0JKDbac"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "For other features that are not coming from the financial statements, we can use inputation methods offered by scikit-learn package. These are SimpleImputer, KNNImputer, and IterativeImputer\n",
        "*  SimpleImputer - utilizes multiple strategies to fill NaNs: using the mean, \n",
        "median, mode, or a constant value \n",
        "*  KNNImputer - utilizes K Nearest Neighbor modeling to estimate the missing values using the other data columns as predictors\n",
        "* IterativeImputer - experimental(iterative) method which allows for any estimator to be passed into it, which it then uses to estimate missing values in a round-robin fashion\n",
        "\n",
        "Next we will compare the different scikit-learn imputation methods as described in scikit-learn documentation [here](https://scikit-learn.org/stable/auto_examples/impute/plot_missing_values.html).\n",
        "\n",
        "Also it is worth noting that for the task of inputting missing data, we could use one of many regressors that are available, e.g. Linear Regression, Random Forest Regressor, Gradient Boosting Regressor, etc. However for this task, Random Forest Regressor was the best performer, so we will use this regressor for this task. "
      ],
      "metadata": {
        "id": "lt0Mg4bdKMkQ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Define the target variable log close price as y\n",
        "log_close = pd.read_csv('log_close.csv')\n",
        "y = log_close.iloc[0].T.loc[X.index]"
      ],
      "metadata": {
        "id": "qdH9-h7H4w1m"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.ensemble import RandomForestRegressor\n",
        "N_SPLITS = 2\n",
        "regressor = RandomForestRegressor(random_state=0) # by providing an integer here, we ensure that we get the same output every time the model is run  \n",
        "\n",
        "# To use the experimental IterativeImputer, we need to explicitly ask for it:\n",
        "from sklearn.experimental import enable_iterative_imputer\n",
        "from sklearn.impute import SimpleImputer, KNNImputer, IterativeImputer\n",
        "from sklearn.model_selection import cross_val_score\n",
        "from sklearn.pipeline import make_pipeline\n",
        "from sklearn.preprocessing import MinMaxScaler\n",
        "\n",
        "\n",
        "\n",
        "# Function to score the results on the differently imputed data\n",
        "def get_scores_for_imputer(imputer, X_missing, y_missing):\n",
        "    estimator = make_pipeline(imputer, regressor)\n",
        "\n",
        "    # To estimate the score of each method, we will use cross-validation (CV). \n",
        "    # CV is a procedure that splits the data into smaller sets, loops through each split to train and test the model on different parts of the dataset, and then evaluates the performance by averaging the values computed in the loop.\n",
        "    impute_scores = cross_val_score(\n",
        "        estimator, X_missing, y_missing, scoring=\"r2\", cv=N_SPLITS)\n",
        "    return impute_scores\n",
        "\n",
        "x_labels = []\n",
        "\n",
        "scores = np.zeros(4)\n",
        "stds = np.zeros(4)\n",
        "\n",
        "# Replace missing values by 0\n",
        "def get_impute_zero_score(X_missing, y_missing):\n",
        "\n",
        "    imputer = SimpleImputer(\n",
        "        missing_values=np.nan, add_indicator=True, strategy=\"constant\", fill_value=0)\n",
        "    \n",
        "    zero_impute_scores = get_scores_for_imputer(imputer, X_missing, y_missing)\n",
        "    return zero_impute_scores.mean(), zero_impute_scores.std()\n",
        "\n",
        "\n",
        "scores[0], stds[0] = get_impute_zero_score(X, y)\n",
        "\n",
        "x_labels.append(\"Zero imputation\")\n",
        "\n",
        "\n",
        "# Impute missing values with mean\n",
        "def get_impute_mean(X_missing, y_missing):\n",
        "    imputer = SimpleImputer(missing_values=np.nan, strategy=\"mean\", add_indicator=True)\n",
        "    mean_impute_scores = get_scores_for_imputer(imputer, X_missing, y_missing)\n",
        "    return mean_impute_scores.mean(), mean_impute_scores.std()\n",
        "\n",
        "\n",
        "scores[1], stds[1] = get_impute_mean(X, y)\n",
        "\n",
        "x_labels.append(\"Mean Imputation\")\n",
        "\n",
        "\n",
        "# kNN-imputation of the missing values\n",
        "# I used MinMaxScaler from scikit-learn to normalize this numeric data between 0 and 1, since KNNImputer is a distance-based algorithm \n",
        "def get_impute_knn_score(X_missing, y_missing):\n",
        "    # Define scaler to set values between 0 and 1\n",
        "    scaler = MinMaxScaler(feature_range=(0, 1))\n",
        "    X_missing_scaled = X_missing.copy()\n",
        "    X_missing_scaled = pd.DataFrame(scaler.fit_transform(X_missing_scaled), columns=X_missing_scaled.columns)\n",
        "\n",
        "    # n_neighbors is the selected number of neighboring samples to use for imputation, by default set to 5\n",
        "    # metric which is the distance metric for searching neighbors by default set as ‘nan-euclidean’\n",
        "    imputer = KNNImputer(missing_values=np.nan, add_indicator=True, n_neighbors=5, metric='nan_euclidean')\n",
        "    knn_impute_scores = get_scores_for_imputer(imputer, X_missing_scaled, y_missing)\n",
        "    return knn_impute_scores.mean(), knn_impute_scores.std()\n",
        "\n",
        "\n",
        "scores[2], stds[2] = get_impute_knn_score(X, y)\n",
        "\n",
        "x_labels.append(\"KNN Imputation\")\n",
        "\n",
        "\n",
        "# Iterative imputation of the missing values\n",
        "# In this case the column with missing values is the taget variable, and other features are used to train the model to predict (impute) \n",
        "# the missing values in the target variable. It does so in an iterated round-robin fashion: this is done for each feature, and then is \n",
        "# repeated for max_iter imputation rounds. The results of the final imputation round are returned\n",
        "def get_impute_iterative(X_missing, y_missing):\n",
        "    imputer = IterativeImputer(missing_values=np.nan,\n",
        "                               add_indicator=True,\n",
        "                               random_state=0,\n",
        "                               n_nearest_features=3,\n",
        "                               max_iter=3,\n",
        "                               sample_posterior=True)\n",
        "    iterative_impute_scores = get_scores_for_imputer(imputer, X_missing, y_missing)\n",
        "    return iterative_impute_scores.mean(), iterative_impute_scores.std()\n",
        "\n",
        "\n",
        "scores[3], stds[3] = get_impute_iterative(X, y)\n",
        "\n",
        "x_labels.append(\"Iterative Imputation\")"
      ],
      "metadata": {
        "id": "hiL1N6-6P2VV"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Plot the results of imputation comparisons\n",
        "\n",
        "n_bars = len(scores)\n",
        "xval = np.arange(n_bars)\n",
        "\n",
        "colors = [\"r\", \"g\", \"b\", \"orange\"]\n",
        "\n",
        "plt.figure(figsize=(26, 6))\n",
        "ax1 = plt.subplot(1, 2, 1)\n",
        "for j in xval:\n",
        "          ax1.barh(j, \n",
        "          scores[j], \n",
        "          xerr=stds[j],\n",
        "          color=colors[j],\n",
        "          alpha=0.8,\n",
        "          align='center')\n",
        "\n",
        "ax1.set_title('Imputation Techniques Comparison with Random Forest Regressor')\n",
        "ax1.set_xlim(left=np.min(scores) * 0.9, right=np.max(scores) * 1.1)\n",
        "ax1.set_yticks(xval)\n",
        "ax1.set_xlabel('R-squared')\n",
        "ax1.invert_yaxis()\n",
        "ax1.set_yticklabels(x_labels)\n",
        "\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 410
        },
        "id": "E4IHkRjC_uiW",
        "outputId": "b59df84c-8306-4714-91d1-04887f2d629a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1872x432 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "I evaluated Linear Regression, Gradient Boosting Regressor, XGBRegressor (not shown here) and Random Forest Regressor, which proved to be the best performing regressor when measured using R-sqaured. We can see that in respect to R-squared score, the Iterative Imputation method performed the best compared to other imputation techinques, so I will use this method combination (Random Forest Regressor and Iterative Imputation) to input the remaing missing values in the dataset.\n",
        "\n",
        "Scoring on R-squared was chosen because this statistic indicates the proportion of the variance of the target which is explained by independent variables in the model. In the conext of missing data imputation, the R-squared scores shown above indicate the proportion of the closing price variance being explained by the fundamental's data variance. Naturally, we want the model that has the best explanatory power, so the model with the highest R-squared is the model of choice."
      ],
      "metadata": {
        "id": "HdbDQWK8_J55"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "pd.options.mode.chained_assignment = None\n",
        "\n",
        "# Features that still have missing values\n",
        "missing_features = X.loc[:, X.isna().any()]\n",
        "null_values_earnings = X['earningsGrowth'].isnull()\n",
        "null_values_dte = X['debtToEquity'].isnull()"
      ],
      "metadata": {
        "id": "bfs45nlDxDUe"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Imputation using Iterative imputer\n",
        "iter_imputer = IterativeImputer() # Using all default parameters\n",
        "\n",
        "for i in missing_features.columns:\n",
        "  X[i] = iter_imputer.fit_transform(X[i].values.reshape(-1,1))\n",
        "\n",
        "# We can see that the dataset no longer contains any null values\n",
        "X.isnull().values.any()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "R3janOvJ4NyY",
        "outputId": "7361692b-68ec-4876-cf19-c79e6601aaef"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "False"
            ]
          },
          "metadata": {},
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Plot imputed values\n",
        "fig = plt.figure(figsize=(18, 12))\n",
        "\n",
        "ax1 = plt.subplot(2, 1, 1)\n",
        "ax1.set_title('Iterative Imputer')\n",
        "ax1.scatter(X['Total Revenue'], X['earningsGrowth'], c=null_values_earnings, cmap='winter')\n",
        "ax1.set_xlabel('Total Revenue')\n",
        "ax1.set_ylabel('earningsGrowth')\n",
        "\n",
        "ax2 = plt.subplot(2, 1, 2)\n",
        "ax2.set_title('Iterative Imputer')\n",
        "ax2.scatter(X['Total Revenue'], X['debtToEquity'], c=null_values_dte, cmap='winter')\n",
        "ax2.set_xlabel('Total Revenue')\n",
        "ax2.set_ylabel('debtToEquity')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 753
        },
        "id": "lc2tQjiNH5Pu",
        "outputId": "ea85332f-e441-4033-b7e6-552d7ae768db"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0, 0.5, 'debtToEquity')"
            ]
          },
          "metadata": {},
          "execution_count": 14
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1296x864 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Modeling the data"
      ],
      "metadata": {
        "id": "V4m9WR74d7ky"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Using grid searching to find the model's hyperparameters\n",
        "from sklearn.model_selection import GridSearchCV\n",
        "from sklearn.pipeline import Pipeline\n",
        "from sklearn.preprocessing import StandardScaler\n",
        "from sklearn.ensemble import GradientBoostingRegressor"
      ],
      "metadata": {
        "id": "XfKEArfCd-KO"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Set up a scaler to use in the pipeline\n",
        "scaler = StandardScaler()\n",
        "\n",
        "# 'squared_error', 'absolute_error' and 'huber' loss functions were tested, with 'huber' performing the best\n",
        "regressor = GradientBoostingRegressor(loss='huber', random_state=0)\n",
        "\n",
        "# Make the pipeline\n",
        "steps = [('scaler', scaler), \n",
        "         #('imputer', imputer), # We already performed the missing data imputation, however, it could be added to the pipeline as well\n",
        "         ('regressor', regressor)\n",
        "         ]\n",
        "\n",
        "estimator = Pipeline(steps=steps)\n",
        "\n",
        "# Make the grid of hyperparameters to be tested\n",
        "param_grid = {\n",
        "              'regressor__n_estimators': [100, 300, 500],\n",
        "              'regressor__max_depth': [1, 2, 3, 4],\n",
        "              'regressor__learning_rate': [.01, .1, .5],\n",
        "              'regressor__subsample': [0.7, 0.8, 1.0],\n",
        "             }\n",
        "\n",
        "# Instantiate grid search and fit to data. verbose=2 gives a report on progress,\n",
        "# which is great when fitting many models. n_jobs=-1 uses all of the computer's CPU cores\n",
        "grid_search = GridSearchCV(estimator, \n",
        "                           param_grid=param_grid, \n",
        "                           scoring='r2',\n",
        "                           cv=5, \n",
        "                           n_jobs=-1,\n",
        "                           verbose=3)\n",
        "grid_fit = grid_search.fit(X, y)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "T0MLrbBheOto",
        "outputId": "f64c0b74-486c-48b4-a7bb-fa57c7f9be3f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Fitting 5 folds for each of 108 candidates, totalling 540 fits\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print('Best Model: \\n r-squared:', grid_fit.best_score_)\n",
        "grid_fit.best_params_"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "e6aCb22Dlb11",
        "outputId": "31082e57-96b3-45dc-caae-375e28e148b9"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Best Model: \n",
            " r-squared: 0.25808746147929984\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'regressor__learning_rate': 0.5,\n",
              " 'regressor__max_depth': 3,\n",
              " 'regressor__n_estimators': 300,\n",
              " 'regressor__subsample': 0.8}"
            ]
          },
          "metadata": {},
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Upon trying to model the data with Random Forest Regressor, the model achieved r2 score of 0.05, while Gradient Boosting Regressor got r2 score of 0.26, so we will continue with this model, although neither of r2 values were exceptionally good. After doing the grid search we also got the optimal parameters to use with the model."
      ],
      "metadata": {
        "id": "T032jAiITVHy"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "grid_fit.best_score_"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "3bWCwxd0lgfC",
        "outputId": "96e05fd6-66fd-43d3-fed2-964ddef7a10d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.25808746147929984"
            ]
          },
          "metadata": {},
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "The idea behind generating this model was to calculate the model's residuals (as a reminder, in regression analysis residuals are defined as Observed value – Predicted value) and see if they have any relationship with the actual returns. In the context of this analysis, this would be the difference between the stock price predicted by the model vs. the actual stock price. \n",
        "Next, let's visualise the residuals by plotting them. "
      ],
      "metadata": {
        "id": "5SLV-npSSheu"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "preds = grid_fit.best_estimator_.predict(X) # best_estimator_ attribute permits using the best found parameters with predict directly\n",
        "resids = y - preds\n",
        "plt.figure(figsize=(10, 8))\n",
        "sns.histplot(resids, kde=True)\n",
        "plt.title('Distribution of Residuals for Asset Pricing Model')\n",
        "plt.xlabel('Residuals');"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 518
        },
        "id": "ze4153pllkP4",
        "outputId": "7519ad74-e6a3-4ebc-cdc7-0454757fd85b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x576 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "We can see that the residuals are, for the most part, symmetrically distributed around 0, meaning that there isn't any difference between the actual stock prices in the market and the price predicted by the model. However, there are two instances of positive residuals, which indicate these stocks could be potentially overvalued.\n",
        "\n",
        "Next, let's plot again the log returns over the period of the study (May 21, 2022 - Nov 30, 2022)"
      ],
      "metadata": {
        "id": "LWYf56cuUxHy"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "log_returns = pd.read_csv('log_returns.csv')\n",
        "plt.figure(figsize=(10, 8))\n",
        "sns.histplot(log_returns['log_return'], kde=True);"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 502
        },
        "id": "A09rkq3plszE",
        "outputId": "308a9ab8-e1bf-46a0-9430-e6c8e211861a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x576 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Now, let's plot the residuals and the log return on the same graph."
      ],
      "metadata": {
        "id": "DV_C9iAd3us5"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(10, 8))\n",
        "plt.scatter(resids, log_returns.log_return)\n",
        "plt.xlabel('Residuals')\n",
        "plt.ylabel('log returns');"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 502
        },
        "id": "xVViC6gWnQM2",
        "outputId": "e202bd26-7494-40a7-9bdb-14620691e116"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x576 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "At this point we would have been hoping to see a negative linear relationship, i.e. the higher the residuals, the lower the returns, since higher residual values would correspond to overvalued securities, we would expect these securities to have negative returns over the course of the study. \n",
        "\n",
        "However, we do not see such a relationship here. Let's run linear regression to confirm the results."
      ],
      "metadata": {
        "id": "aTbPjq_24VOP"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "test_df = pd.DataFrame(zip(resids, log_returns.log_return))\n",
        "test_df.columns = ['resids', 'log_returns']\n",
        "test_df.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "EgkBlJfEnYdz",
        "outputId": "78e7fdc8-3440-4530-b4da-d5f37a463b6d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "         resids  log_returns\n",
              "0  1.693333e-08     0.020726\n",
              "1  7.722554e-10    -0.113182\n",
              "2  3.935793e-09    -0.204314\n",
              "3  3.574386e-09    -0.392562\n",
              "4 -1.032319e-10    -0.068295"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-4e06be66-09c8-4f45-a0fc-379265ca6689\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>resids</th>\n",
              "      <th>log_returns</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1.693333e-08</td>\n",
              "      <td>0.020726</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>7.722554e-10</td>\n",
              "      <td>-0.113182</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3.935793e-09</td>\n",
              "      <td>-0.204314</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>3.574386e-09</td>\n",
              "      <td>-0.392562</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>-1.032319e-10</td>\n",
              "      <td>-0.068295</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-4e06be66-09c8-4f45-a0fc-379265ca6689')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-4e06be66-09c8-4f45-a0fc-379265ca6689 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-4e06be66-09c8-4f45-a0fc-379265ca6689');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.linear_model import LinearRegression\n",
        "\n",
        "model = LinearRegression()\n",
        "\n",
        "x = np.array(test_df['resids']).reshape((-1, 1))\n",
        "y = np.array(test_df['log_returns'])\n",
        "\n",
        "model = LinearRegression().fit(x, y)\n",
        "\n",
        "r_sq = model.score(x, y)\n",
        "print(f\"coefficient of determination: {r_sq}\")\n",
        "\n",
        "y_pred = model.predict(x)\n",
        "\n",
        "plt.figure(figsize=(10, 8))\n",
        "plt.scatter(test_df['resids'], test_df['log_returns'])\n",
        "plt.xlabel('Residuals')\n",
        "plt.ylabel('log returns')\n",
        "plt.title('Linear Regression for log returns and Residuals')\n",
        "\n",
        "plt.plot(test_df['resids'], y_pred, color='orange', label='predictions')\n",
        "plt.legend()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 535
        },
        "id": "LwDF2Sguswve",
        "outputId": "36a2f00a-4c93-4256-b609-2e97241a1702"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "coefficient of determination: 0.03454853808384617\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x576 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "We can see a positive relationship - the opposite of what we had hoped. The determination coefficient (R2) is just 0.03, which does not indicate a powerful statistical relationship. \n",
        "Looking at the scatter plot itself, we can see that the regression line is heavily impacted by the two points with high residual values, and the rest of residuals are centered around 0, therefore the hypothesis that the residuals of our asset pricing model would be correlated to the returns over the six month period since the time when the fundamental data was published is not supported. \n",
        "\n",
        "This is a bit disappointhing, however this could partailly be explained by a short duration chosen for the study - 6 months is a relatively short time period, as value investors typically invest for much longer time periods. It could be argued that 6 months is not sufficient for 'price discovery' to happen, especially in a relatively illiquid market such as Nasdaq Baltic."
      ],
      "metadata": {
        "id": "UckA-8M27_g5"
      }
    }
  ]
}