GDS_5_StatsAnalysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import scipy as sp\n",
    "import scipy.stats as stats\n",
    "\n",
    "import statsmodels.api as sm\n",
    "from statsmodels.formula.api import ols\n",
    "import statsmodels.graphics.tsaplots as tsaplots\n",
    "from statsmodels.compat import lzip\n",
    "from statsmodels.stats.diagnostic import het_white\n",
    "from statsmodels.stats.diagnostic import het_breuschpagan\n",
    "from statsmodels.stats.outliers_influence import variance_inflation_factor\n",
    "\n",
    "import linearmodels as lm\n",
    "from linearmodels import PanelOLS\n",
    "from linearmodels.panel import compare\n",
    "\n",
    "import sklearn as sk\n",
    "from sklearn.linear_model import Ridge\n",
    "from sklearn.linear_model import RidgeCV\n",
    "from sklearn.model_selection import RepeatedKFold\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.pipeline import make_pipeline\n",
    "from sklearn.metrics import mean_squared_error, r2_score\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "pd.set_option('display.max_columns', None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Importing the dataset\n",
    "df = pd.read_excel('ticker_list_final.xlsx', sheet_name='pool_data')\n",
    "df['Scope_1_2Location'] = df['Scope_1'] + df['Scope_2_Location']\n",
    "df['Scope_1_2Market'] = df['Scope_1'] + df['Scope_2_Market']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Industrials               104\n",
       "Consumer Discretionary    100\n",
       "Information Technology     60\n",
       "Consumer Staples           56\n",
       "Materials                  52\n",
       "Health Care                44\n",
       "Utilities                  36\n",
       "Communication Services     28\n",
       "Technology                  4\n",
       "Real Estate                 4\n",
       "Consumer Cyclicals          4\n",
       "Name: Sector, dtype: int64"
      ]
     },
     "execution_count": 133,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Data Cleaning\n",
    "df['Sector'].replace('Industrails', 'Industrials', inplace=True)\n",
    "df['Sector'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Sector</th>\n",
       "      <th>Counts</th>\n",
       "      <th>Proportion</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Industrials</td>\n",
       "      <td>26.00</td>\n",
       "      <td>21.14%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Consumer Discretionary</td>\n",
       "      <td>25.00</td>\n",
       "      <td>20.33%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Information Technology</td>\n",
       "      <td>15.00</td>\n",
       "      <td>12.20%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Consumer Staples</td>\n",
       "      <td>14.00</td>\n",
       "      <td>11.38%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Materials</td>\n",
       "      <td>13.00</td>\n",
       "      <td>10.57%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Health Care</td>\n",
       "      <td>11.00</td>\n",
       "      <td>8.94%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Utilities</td>\n",
       "      <td>9.00</td>\n",
       "      <td>7.32%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Communication Services</td>\n",
       "      <td>7.00</td>\n",
       "      <td>5.69%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Consumer Cyclicals</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.81%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Real Estate</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.81%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Technology</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.81%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    Sector  Counts Proportion\n",
       "5              Industrials   26.00     21.14%\n",
       "2   Consumer Discretionary   25.00     20.33%\n",
       "6   Information Technology   15.00     12.20%\n",
       "3         Consumer Staples   14.00     11.38%\n",
       "7                Materials   13.00     10.57%\n",
       "4              Health Care   11.00      8.94%\n",
       "10               Utilities    9.00      7.32%\n",
       "0   Communication Services    7.00      5.69%\n",
       "1       Consumer Cyclicals    1.00      0.81%\n",
       "8              Real Estate    1.00      0.81%\n",
       "9               Technology    1.00      0.81%"
      ]
     },
     "execution_count": 134,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Proportion of Sector Representation\n",
    "df_sr = df.groupby(['Sector']).size().reset_index(name='counts')\n",
    "df_sr['proportion'] = df_sr['counts'] / df_sr['counts'].sum()\n",
    "df_sr = df_sr.sort_values(by=['proportion'], ascending=False)\n",
    "df_sr.rename(columns={'proportion': 'Proportion', 'counts': 'Counts'}, inplace=True)\n",
    "df_sr['Proportion'] = df_sr['Proportion'].map('{:,.2%}'.format)\n",
    "df_sr['Counts'] = np.divide(df_sr['Counts'], 4)\n",
    "df_sr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\\begin{tabular}{lrl}\n",
      "\\toprule\n",
      "                Sector &  Counts & Proportion \\\\\n",
      "\\midrule\n",
      "           Industrials &   26.00 &     21.14\\% \\\\\n",
      "Consumer Discretionary &   25.00 &     20.33\\% \\\\\n",
      "Information Technology &   15.00 &     12.20\\% \\\\\n",
      "      Consumer Staples &   14.00 &     11.38\\% \\\\\n",
      "             Materials &   13.00 &     10.57\\% \\\\\n",
      "           Health Care &   11.00 &      8.94\\% \\\\\n",
      "             Utilities &    9.00 &      7.32\\% \\\\\n",
      "Communication Services &    7.00 &      5.69\\% \\\\\n",
      "    Consumer Cyclicals &    1.00 &      0.81\\% \\\\\n",
      "           Real Estate &    1.00 &      0.81\\% \\\\\n",
      "            Technology &    1.00 &      0.81\\% \\\\\n",
      "\\bottomrule\n",
      "\\end{tabular}\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Convert Proportions to LaTex\n",
    "print(df_sr.to_latex(index=False))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\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>const</th>\n",
       "      <th>Asset Turnover</th>\n",
       "      <th>Current Ratio</th>\n",
       "      <th>EBITDA Margin</th>\n",
       "      <th>ESG Score</th>\n",
       "      <th>Quick Ratio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.00</td>\n",
       "      <td>0.80</td>\n",
       "      <td>2.61</td>\n",
       "      <td>27.46</td>\n",
       "      <td>27.35</td>\n",
       "      <td>2.54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.00</td>\n",
       "      <td>0.87</td>\n",
       "      <td>2.10</td>\n",
       "      <td>23.89</td>\n",
       "      <td>38.61</td>\n",
       "      <td>2.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.00</td>\n",
       "      <td>1.43</td>\n",
       "      <td>2.44</td>\n",
       "      <td>21.00</td>\n",
       "      <td>50.55</td>\n",
       "      <td>2.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.00</td>\n",
       "      <td>1.39</td>\n",
       "      <td>1.29</td>\n",
       "      <td>21.79</td>\n",
       "      <td>59.32</td>\n",
       "      <td>1.29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1.00</td>\n",
       "      <td>1.55</td>\n",
       "      <td>1.09</td>\n",
       "      <td>6.90</td>\n",
       "      <td>92.72</td>\n",
       "      <td>0.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>487</th>\n",
       "      <td>1.00</td>\n",
       "      <td>1.01</td>\n",
       "      <td>1.03</td>\n",
       "      <td>11.71</td>\n",
       "      <td>90.13</td>\n",
       "      <td>1.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>488</th>\n",
       "      <td>1.00</td>\n",
       "      <td>1.94</td>\n",
       "      <td>1.76</td>\n",
       "      <td>15.06</td>\n",
       "      <td>66.84</td>\n",
       "      <td>1.47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>489</th>\n",
       "      <td>1.00</td>\n",
       "      <td>1.89</td>\n",
       "      <td>1.56</td>\n",
       "      <td>15.63</td>\n",
       "      <td>72.44</td>\n",
       "      <td>1.31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>490</th>\n",
       "      <td>1.00</td>\n",
       "      <td>1.52</td>\n",
       "      <td>1.30</td>\n",
       "      <td>15.43</td>\n",
       "      <td>85.91</td>\n",
       "      <td>1.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>491</th>\n",
       "      <td>1.00</td>\n",
       "      <td>0.93</td>\n",
       "      <td>2.39</td>\n",
       "      <td>13.94</td>\n",
       "      <td>88.81</td>\n",
       "      <td>2.20</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>492 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     const  Asset Turnover  Current Ratio  EBITDA Margin  ESG Score  \\\n",
       "0     1.00            0.80           2.61          27.46      27.35   \n",
       "1     1.00            0.87           2.10          23.89      38.61   \n",
       "2     1.00            1.43           2.44          21.00      50.55   \n",
       "3     1.00            1.39           1.29          21.79      59.32   \n",
       "4     1.00            1.55           1.09           6.90      92.72   \n",
       "..     ...             ...            ...            ...        ...   \n",
       "487   1.00            1.01           1.03          11.71      90.13   \n",
       "488   1.00            1.94           1.76          15.06      66.84   \n",
       "489   1.00            1.89           1.56          15.63      72.44   \n",
       "490   1.00            1.52           1.30          15.43      85.91   \n",
       "491   1.00            0.93           2.39          13.94      88.81   \n",
       "\n",
       "     Quick Ratio  \n",
       "0           2.54  \n",
       "1           2.10  \n",
       "2           2.44  \n",
       "3           1.29  \n",
       "4           0.76  \n",
       "..           ...  \n",
       "487         1.03  \n",
       "488         1.47  \n",
       "489         1.31  \n",
       "490         1.08  \n",
       "491         2.20  \n",
       "\n",
       "[492 rows x 6 columns]"
      ]
     },
     "execution_count": 136,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Separating the data into two dataframes\n",
    "x_vars = ['Sector', 'const', 'Asset Turnover', 'Current Ratio', 'EBITDA Margin', 'ESG Score', 'Quick Ratio']\n",
    "y_vars = ['Scope_1', 'Scope_2_Location', 'Scope_2_Market', 'Scope_1_2Location', 'Scope_1_2Market']\n",
    "df_x = df.copy()\n",
    "df_x = df_x.drop(y_vars, axis=1)\n",
    "# df_x = df_x.drop(['Sector'], axis=1)\n",
    "df_y = df[y_vars]\n",
    "\n",
    "# Create Regression Inputs\n",
    "pooledOLS_X = sm.add_constant(df_x) # B0 + B1X1 ... BnXn\n",
    "\n",
    "# Drop Sector Column\n",
    "pooledOLS_X = pooledOLS_X[x_vars]\n",
    "pooledOLS_X = pooledOLS_X.drop(['Sector'], axis=1)\n",
    "\n",
    "# Dependent Variables\n",
    "pooledOLS_Y = df_y\n",
    "\n",
    "pooledOLS_X\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The Summary Statistics for the Explanatory Variables are:\n",
      "\n",
      "\\begin{tabular}{lrrrrr}\n",
      "\\toprule\n",
      "           Variables &         Mean &    Median &     Std. Dev. &  Skewness &  Kurtosis \\\\\n",
      "\\midrule\n",
      "      Asset Turnover &         0.94 &      0.82 &          0.57 &      1.51 &      3.72 \\\\\n",
      "       Current Ratio &         1.40 &      1.25 &          0.72 &      2.78 &     10.68 \\\\\n",
      "       EBITDA Margin &        16.09 &     13.89 &         14.55 &     -1.27 &      8.87 \\\\\n",
      "           ESG Score & 114278521.67 &     70.33 & 1170065709.56 &     11.10 &    123.48 \\\\\n",
      "         Quick Ratio &         1.10 &      0.95 &          0.67 &      3.29 &     14.66 \\\\\n",
      "             Scope 1 &   2908207.44 & 114720.00 &   13007560.38 &      7.02 &     52.06 \\\\\n",
      "    Scope 2 Location &    472194.31 & 155188.00 &     876821.53 &      5.06 &     38.91 \\\\\n",
      "      Scope 2 Market &    385082.98 &  88187.00 &     803380.54 &      4.12 &     20.13 \\\\\n",
      "Scope 1 + 2 Location &   3380401.75 & 385123.00 &   13267950.62 &      6.87 &     50.40 \\\\\n",
      "  Scope 1 + 2 Market &   3293290.41 & 261095.50 &   13273581.80 &      6.88 &     50.49 \\\\\n",
      "\\bottomrule\n",
      "\\end{tabular}\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Summary Statistics of Explanatory Variables\n",
    "expl = pd.concat([pooledOLS_X, pooledOLS_Y], axis=1)\n",
    "expl\n",
    "expl.drop(['const'], axis=1, inplace=True)\n",
    "\n",
    "def sum_stats(s_returns):\n",
    "    mu = s_returns.mean()\n",
    "    med = s_returns.median()\n",
    "    std = s_returns.std()\n",
    "    skew = s_returns.skew()\n",
    "    kurt = s_returns.kurtosis() # Excess Kurtosis (Fisher's Kurtosis)\n",
    "    sumstats = [mu, med, std, skew, kurt]\n",
    "    df_sumstats = pd.DataFrame(sumstats)\n",
    "    index = pd.Index(['Mean', 'Median', 'Std. Dev.', 'Skewness', 'Kurtosis'])\n",
    "    df_sumstats = df_sumstats.set_index(index)\n",
    "    return df_sumstats\n",
    "\n",
    "q2_out = sum_stats(expl)\n",
    "q2_out = q2_out.transpose()\n",
    "q2_out = q2_out.round(2)\n",
    "q2_out.reset_index(drop=False, inplace=True)\n",
    "q2_out.rename(columns={'index': 'Variables'}, inplace=True)\n",
    "q2_out['Variables'].replace('_', ' ', regex=True, inplace=True)\n",
    "q2_out['Variables'].replace('2L', '+ 2 L', regex=True, inplace=True)\n",
    "q2_out['Variables'].replace('2M', '+ 2 M', regex=True, inplace=True)\n",
    "\n",
    "print(\"The Summary Statistics for the Explanatory Variables are:\\n\")\n",
    "print(q2_out.to_latex(index=False))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x1000 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Data Visualization - Scatter Plot to Examine Relationships\n",
    "\n",
    "# Create Subplot\n",
    "fig, axes = plt.subplots(2, 3, figsize=(12, 10))\n",
    "sns.set_palette(\"Paired\")\n",
    "sns.scatterplot(x='Asset Turnover', y='Scope_1', data=df, hue='Sector', ax=axes[0, 0], legend=False)\n",
    "sns.scatterplot(x='Asset Turnover', y='Scope_2_Location', data=df, hue='Sector', ax=axes[0, 1], legend=False)\n",
    "sns.scatterplot(x='Asset Turnover', y='Scope_2_Market', data=df, hue='Sector', ax=axes[0, 2], legend=False)\n",
    "sns.scatterplot(x='Asset Turnover', y='Scope_1_2Location', data=df, hue='Sector', ax=axes[1, 0], legend=False)\n",
    "sns.scatterplot(x='Asset Turnover', y='Scope_1_2Market', data=df, hue='Sector', ax=axes[1, 1])\n",
    "\n",
    "# Alter Legend\n",
    "sns.move_legend(axes[1, 1], \"lower center\", bbox_to_anchor=(-0.2, -0.5), ncol=3)\n",
    "\n",
    "# Set Titles\n",
    "axes[0, 0].set_title('Scope 1 vs. Asset Turnover')\n",
    "axes[0, 1].set_title('Scope 2-L vs. Asset Turnover')\n",
    "axes[0, 2].set_title('Scope 2-M vs. Asset Turnover')\n",
    "axes[1, 0].set_title('Scope 1 & 2-L vs. Asset Turnover')\n",
    "axes[1, 1].set_title('Scope 1 & 2-M vs. Asset Turnover')\n",
    "fig.suptitle('Emissions vs. Asset Turnover by Sector', fontsize=16)\n",
    "\n",
    "# Adjust Spacing\n",
    "plt.subplots_adjust(wspace=0.4, hspace=0.75)\n",
    "\n",
    "# Alter Positioning of Subplots\n",
    "axes[1,2].set_visible(False)\n",
    "axes[1,0].set_position([0.24, 0.125, 0.228, 0.343])\n",
    "axes[1,1].set_position([0.55, 0.125, 0.228, 0.343])\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create Dummy Variables for Utilities Sector due to High Emissions Outliers\n",
    "df['Utilities'] = np.where(df['Sector'] == 'Utilities', 1, 0)\n",
    "\n",
    "# Add Dummy Variable to Regression Inputs\n",
    "pooledOLS_X['Utilities'] = df['Utilities']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x1000 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Data Visualisation - Histograms to Examine Distribution of Emissions\n",
    "fig, axes = plt.subplots(2, 3, figsize=(12, 10))\n",
    "sns.histplot(x='Scope_1', data=df, ax=axes[0, 0], stat='density', bins=20, color='blue')\n",
    "sns.histplot(x='Scope_2_Location', data=df, ax=axes[0, 1], stat='density', bins=20, color='blue')\n",
    "sns.histplot(x='Scope_2_Market', data=df, ax=axes[0, 2], stat='density', bins=20, color='blue')\n",
    "sns.histplot(x='Scope_1_2Location', data=df, ax=axes[1, 0], stat='density', bins=20, color='blue')\n",
    "sns.histplot(x='Scope_1_2Market', data=df, ax=axes[1, 1], stat='density', bins=20, color='blue')\n",
    "plt.suptitle('Distribution of Emissions', fontsize=16)\n",
    "\n",
    "# Adjust Spacing\n",
    "plt.subplots_adjust(wspace=0.3, hspace=0.4)\n",
    "fig.subplots_adjust(top=0.92)\n",
    "\n",
    "# Alter Positioning of Subplots\n",
    "axes[1,2].set_visible(False)\n",
    "axes[1,0].set_position([0.24, 0.125, 0.228, 0.343])\n",
    "axes[1,1].set_position([0.55, 0.125, 0.228, 0.343])\n",
    "\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x1000 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Data Transformation - Log Transformation\n",
    "pooledOLS_Y_log = pd.DataFrame()\n",
    "pooledOLS_Y_log['Scope_1_log'] = np.log(df.loc[:, 'Scope_1'])\n",
    "pooledOLS_Y_log['Scope_2_Location_log'] = np.log(df.loc[:, 'Scope_2_Location'])\n",
    "pooledOLS_Y_log['Scope_2_Market_log'] = np.log(df.loc[:, 'Scope_2_Market'])\n",
    "pooledOLS_Y_log['Scope_1_2Location_log'] = np.log(df.loc[:, 'Scope_1_2Location'])\n",
    "pooledOLS_Y_log['Scope_1_2Market_log'] = np.log(df.loc[:, 'Scope_1_2Market'])\n",
    "\n",
    "# Data Visualisation - Histograms to Examine Distribution of Emissions\n",
    "fig, axes = plt.subplots(2, 3, figsize=(12, 10))\n",
    "sns.histplot(x='Scope_1_log', data=pooledOLS_Y_log, ax=axes[0, 0], stat='density', bins=20, color='blue')\n",
    "sns.histplot(x='Scope_2_Location_log', data=pooledOLS_Y_log, ax=axes[0, 1], stat='density', bins=20, color='blue')\n",
    "sns.histplot(x='Scope_2_Market_log', data=pooledOLS_Y_log, ax=axes[0, 2], stat='density', bins=20, color='blue')\n",
    "sns.histplot(x='Scope_1_2Location_log', data=pooledOLS_Y_log, ax=axes[1, 0], stat='density', bins=20, color='blue')\n",
    "sns.histplot(x='Scope_1_2Market_log', data=pooledOLS_Y_log, ax=axes[1, 1], stat='density', bins=20, color='blue')\n",
    "plt.suptitle('Post-Transformation Distribution of Emissions', fontsize=16)\n",
    "\n",
    "# Adjust Spacing\n",
    "plt.subplots_adjust(wspace=0.3, hspace=0.5)\n",
    "fig.subplots_adjust(top=0.92)\n",
    "\n",
    "# Alter Positioning of Subplots\n",
    "axes[1,2].set_visible(False)\n",
    "axes[1,0].set_position([0.24, 0.125, 0.228, 0.343])\n",
    "axes[1,1].set_position([0.55, 0.125, 0.228, 0.343])\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x1000 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Data Visualization - Regression Plot to Examine Relationships\n",
    "plot_data = pooledOLS_Y_log.copy()\n",
    "plot_data['Asset Turnover'] = df['Asset Turnover']\n",
    "plot_data['Sector'] = df['Sector']\n",
    "\n",
    "# Create Subplot\n",
    "fig, axes = plt.subplots(2, 3, figsize=(12, 10))\n",
    "sns.set_palette(\"Paired\")\n",
    "sns.regplot(x='Asset Turnover', y='Scope_1_log', data=plot_data, ax=axes[0, 0], scatter=True, fit_reg=True, scatter_kws={\"color\": \"blue\"}, line_kws={\"color\": \"red\"})\n",
    "sns.regplot(x='Asset Turnover', y='Scope_2_Location_log', data=plot_data, ax=axes[0, 1], scatter=True, fit_reg=True, scatter_kws={\"color\": \"blue\"}, line_kws={\"color\": \"red\"})\n",
    "sns.regplot(x='Asset Turnover', y='Scope_2_Market_log', data=plot_data, ax=axes[0, 2], scatter=True, fit_reg=True, scatter_kws={\"color\": \"blue\"}, line_kws={\"color\": \"red\"})\n",
    "sns.regplot(x='Asset Turnover', y='Scope_1_2Location_log', data=plot_data, ax=axes[1, 0], scatter=True, fit_reg=True, scatter_kws={\"color\": \"blue\"}, line_kws={\"color\": \"red\"})\n",
    "sns.regplot(x='Asset Turnover', y='Scope_1_2Market_log', data=plot_data, ax=axes[1, 1], scatter=True, fit_reg=True, scatter_kws={\"color\": \"blue\"}, line_kws={\"color\": \"red\"})\n",
    "\n",
    "# Alter Legend\n",
    "# sns.move_legend(axes[1, 1], \"lower center\", bbox_to_anchor=(-0.2, -0.5), ncol=3)\n",
    "\n",
    "# Set Titles\n",
    "axes[0, 0].set_title('Scope 1 vs. Asset Turnover')\n",
    "axes[0, 1].set_title('Scope 2-L vs. Asset Turnover')\n",
    "axes[0, 2].set_title('Scope 2-M vs. Asset Turnover')\n",
    "axes[1, 0].set_title('Scope 1 & 2-L vs. Asset Turnover')\n",
    "axes[1, 1].set_title('Scope 1 & 2-M vs. Asset Turnover')\n",
    "fig.suptitle('Log-Transformed Emissions vs. Asset Turnover', fontsize=16)\n",
    "\n",
    "# Adjust Spacing\n",
    "plt.subplots_adjust(wspace=0.4, hspace=0.75)\n",
    "\n",
    "# Alter Positioning of Subplots\n",
    "axes[1,2].set_visible(False)\n",
    "axes[1,0].set_position([0.24, 0.125, 0.228, 0.343])\n",
    "axes[1,1].set_position([0.55, 0.125, 0.228, 0.343])\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x1000 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Data Visualization - Scatter Plot to Examine Relationships\n",
    "plot_data = pooledOLS_Y_log.copy()\n",
    "plot_data['Asset Turnover'] = df['Asset Turnover']\n",
    "plot_data['Sector'] = df['Sector']\n",
    "\n",
    "# Create Subplot\n",
    "fig, axes = plt.subplots(2, 3, figsize=(12, 10))\n",
    "sns.set_palette(\"Paired\")\n",
    "sns.scatterplot(x='Asset Turnover', y='Scope_1_log', data=plot_data, hue='Sector', ax=axes[0, 0], legend=False)\n",
    "sns.scatterplot(x='Asset Turnover', y='Scope_2_Location_log', data=plot_data, hue='Sector', ax=axes[0, 1], legend=False)\n",
    "sns.scatterplot(x='Asset Turnover', y='Scope_2_Market_log', data=plot_data, hue='Sector', ax=axes[0, 2], legend=False)\n",
    "sns.scatterplot(x='Asset Turnover', y='Scope_1_2Location_log', data=plot_data, hue='Sector', ax=axes[1, 0], legend=False)\n",
    "sns.scatterplot(x='Asset Turnover', y='Scope_1_2Market_log', data=plot_data, hue='Sector', ax=axes[1, 1])\n",
    "\n",
    "# Alter Legend\n",
    "sns.move_legend(axes[1, 1], \"lower center\", bbox_to_anchor=(-0.2, -0.5), ncol=3)\n",
    "\n",
    "# Set Titles\n",
    "axes[0, 0].set_title('Scope 1 vs. Asset Turnover')\n",
    "axes[0, 1].set_title('Scope 2-L vs. Asset Turnover')\n",
    "axes[0, 2].set_title('Scope 2-M vs. Asset Turnover')\n",
    "axes[1, 0].set_title('Scope 1 & 2-L vs. Asset Turnover')\n",
    "axes[1, 1].set_title('Scope 1 & 2-M vs. Asset Turnover')\n",
    "fig.suptitle('Log-Transformed Emissions vs. Asset Turnover by Sector', fontsize=16)\n",
    "\n",
    "# Adjust Spacing\n",
    "plt.subplots_adjust(wspace=0.4, hspace=0.75)\n",
    "\n",
    "# Alter Positioning of Subplots\n",
    "axes[1,2].set_visible(False)\n",
    "axes[1,0].set_position([0.24, 0.125, 0.228, 0.343])\n",
    "axes[1,1].set_position([0.55, 0.125, 0.228, 0.343])\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:            Scope_1_log   R-squared:                       0.270\n",
      "Model:                            OLS   Adj. R-squared:                  0.261\n",
      "Method:                 Least Squares   F-statistic:                     29.90\n",
      "Date:                Thu, 22 Jun 2023   Prob (F-statistic):           1.57e-30\n",
      "Time:                        23:53:25   Log-Likelihood:                -1102.2\n",
      "No. Observations:                 492   AIC:                             2218.\n",
      "Df Residuals:                     485   BIC:                             2248.\n",
      "Df Model:                           6                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==================================================================================\n",
      "                     coef    std err          t      P>|t|      [0.025      0.975]\n",
      "----------------------------------------------------------------------------------\n",
      "const             13.3392      0.354     37.670      0.000      12.643      14.035\n",
      "Asset Turnover    -0.7828      0.204     -3.838      0.000      -1.184      -0.382\n",
      "Current Ratio      0.1531      0.308      0.497      0.620      -0.453       0.759\n",
      "EBITDA Margin     -0.0103      0.008     -1.344      0.180      -0.025       0.005\n",
      "ESG Score       4.061e-11   8.96e-11      0.453      0.651   -1.35e-10    2.17e-10\n",
      "Quick Ratio       -1.1794      0.330     -3.575      0.000      -1.828      -0.531\n",
      "Utilities          3.9984      0.417      9.592      0.000       3.179       4.817\n",
      "==============================================================================\n",
      "Omnibus:                        2.419   Durbin-Watson:                   0.488\n",
      "Prob(Omnibus):                  0.298   Jarque-Bera (JB):                2.498\n",
      "Skew:                          -0.034   Prob(JB):                        0.287\n",
      "Kurtosis:                       3.343   Cond. No.                     5.37e+09\n",
      "==============================================================================\n",
      "\n",
      "Notes:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
      "[2] The condition number is large, 5.37e+09. This might indicate that there are\n",
      "strong multicollinearity or other numerical problems.\n"
     ]
    }
   ],
   "source": [
    "# Model 1: Pooled OLS - Scope 1\n",
    "pooledOLS = sm.OLS(endog=pooledOLS_Y_log['Scope_1_log'], exog=pooledOLS_X)\n",
    "pooledOLS_model1 = pooledOLS.fit()\n",
    "results = pooledOLS_model1.summary()\n",
    "results_latex = results.as_latex()\n",
    "print(results)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "White Test: Fail to Reject Null Hypothesis, Homoscedasticity\n",
      "\\begin{tabular}{lrrrr}\n",
      "\\toprule\n",
      "{} &  Lagrange multiplier statistic &  LM p-value &  f-value &  f-stat p-value \\\\\n",
      "\\midrule\n",
      "White Test &                        -209.60 &        1.00 &   -29.00 &            1.00 \\\\\n",
      "\\bottomrule\n",
      "\\end{tabular}\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Residual Diagnostics - White Test\n",
    "# Null Hypothesis: Homoscedasticity\n",
    "# Alternative Hypothesis: Heteroscedasticity\n",
    "# If p-value < 0.05, reject null hypothesis\n",
    "names = ['Lagrange multiplier statistic', 'LM p-value', 'f-value', 'f-stat p-value']\n",
    "test = het_white(pooledOLS_model1.resid, pooledOLS_model1.model.exog)\n",
    "white_t = dict(zip(names, test))\n",
    "white_df = pd.DataFrame(white_t, index=['White Test'])\n",
    "\n",
    "if white_t['LM p-value'] < 0.05:\n",
    "    print('White Test: Reject Null Hypothesis, Heteroscedasticity')\n",
    "else:\n",
    "    print('White Test: Fail to Reject Null Hypothesis, Homoscedasticity')\n",
    "\n",
    "print((white_df.round(1)).to_latex())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\\begin{center}\n",
      "\\begin{tabular}{lclc}\n",
      "\\toprule\n",
      "\\textbf{Dep. Variable:}    &  Scope\\_1\\_log   & \\textbf{  R-squared:         } &     0.270   \\\\\n",
      "\\textbf{Model:}            &       OLS        & \\textbf{  Adj. R-squared:    } &     0.261   \\\\\n",
      "\\textbf{Method:}           &  Least Squares   & \\textbf{  F-statistic:       } &     29.90   \\\\\n",
      "\\textbf{Date:}             & Thu, 22 Jun 2023 & \\textbf{  Prob (F-statistic):} &  1.57e-30   \\\\\n",
      "\\textbf{Time:}             &     23:53:25     & \\textbf{  Log-Likelihood:    } &   -1102.2   \\\\\n",
      "\\textbf{No. Observations:} &         492      & \\textbf{  AIC:               } &     2218.   \\\\\n",
      "\\textbf{Df Residuals:}     &         485      & \\textbf{  BIC:               } &     2248.   \\\\\n",
      "\\textbf{Df Model:}         &           6      & \\textbf{                     } &             \\\\\n",
      "\\textbf{Covariance Type:}  &    nonrobust     & \\textbf{                     } &             \\\\\n",
      "\\bottomrule\n",
      "\\end{tabular}\n",
      "\\begin{tabular}{lcccccc}\n",
      "                        & \\textbf{coef} & \\textbf{std err} & \\textbf{t} & \\textbf{P$> |$t$|$} & \\textbf{[0.025} & \\textbf{0.975]}  \\\\\n",
      "\\midrule\n",
      "\\textbf{const}          &      13.3392  &        0.354     &    37.670  &         0.000        &       12.643    &       14.035     \\\\\n",
      "\\textbf{Asset Turnover} &      -0.7828  &        0.204     &    -3.838  &         0.000        &       -1.184    &       -0.382     \\\\\n",
      "\\textbf{Current Ratio}  &       0.1531  &        0.308     &     0.497  &         0.620        &       -0.453    &        0.759     \\\\\n",
      "\\textbf{EBITDA Margin}  &      -0.0103  &        0.008     &    -1.344  &         0.180        &       -0.025    &        0.005     \\\\\n",
      "\\textbf{ESG Score}      &    4.061e-11  &     8.96e-11     &     0.453  &         0.651        &    -1.35e-10    &     2.17e-10     \\\\\n",
      "\\textbf{Quick Ratio}    &      -1.1794  &        0.330     &    -3.575  &         0.000        &       -1.828    &       -0.531     \\\\\n",
      "\\textbf{Utilities}      &       3.9984  &        0.417     &     9.592  &         0.000        &        3.179    &        4.817     \\\\\n",
      "\\bottomrule\n",
      "\\end{tabular}\n",
      "\\begin{tabular}{lclc}\n",
      "\\textbf{Omnibus:}       &  2.419 & \\textbf{  Durbin-Watson:     } &    0.488  \\\\\n",
      "\\textbf{Prob(Omnibus):} &  0.298 & \\textbf{  Jarque-Bera (JB):  } &    2.498  \\\\\n",
      "\\textbf{Skew:}          & -0.034 & \\textbf{  Prob(JB):          } &    0.287  \\\\\n",
      "\\textbf{Kurtosis:}      &  3.343 & \\textbf{  Cond. No.          } & 5.37e+09  \\\\\n",
      "\\bottomrule\n",
      "\\end{tabular}\n",
      "%\\caption{OLS Regression Results}\n",
      "\\end{center}\n",
      "\n",
      "Notes: \\newline\n",
      " [1] Standard Errors assume that the covariance matrix of the errors is correctly specified. \\newline\n",
      " [2] The condition number is large, 5.37e+09. This might indicate that there are \\newline\n",
      " strong multicollinearity or other numerical problems.\n"
     ]
    }
   ],
   "source": [
    "# Convert Model 1 Results to Latex\n",
    "print(results_latex)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                             OLS Regression Results                             \n",
      "================================================================================\n",
      "Dep. Variable:     Scope_2_Location_log   R-squared:                       0.203\n",
      "Model:                              OLS   Adj. R-squared:                  0.193\n",
      "Method:                   Least Squares   F-statistic:                     20.61\n",
      "Date:                  Thu, 22 Jun 2023   Prob (F-statistic):           1.55e-21\n",
      "Time:                          23:53:25   Log-Likelihood:                -942.35\n",
      "No. Observations:                   492   AIC:                             1899.\n",
      "Df Residuals:                       485   BIC:                             1928.\n",
      "Df Model:                             6                                         \n",
      "Covariance Type:              nonrobust                                         \n",
      "==================================================================================\n",
      "                     coef    std err          t      P>|t|      [0.025      0.975]\n",
      "----------------------------------------------------------------------------------\n",
      "const             13.0589      0.256     51.040      0.000      12.556      13.562\n",
      "Asset Turnover    -0.5831      0.147     -3.957      0.000      -0.873      -0.294\n",
      "Current Ratio     -0.1365      0.223     -0.613      0.540      -0.574       0.301\n",
      "EBITDA Margin      0.0145      0.006      2.617      0.009       0.004       0.025\n",
      "ESG Score      -9.219e-11   6.47e-11     -1.424      0.155   -2.19e-10     3.5e-11\n",
      "Quick Ratio       -0.7160      0.238     -3.004      0.003      -1.184      -0.248\n",
      "Utilities          1.1235      0.301      3.730      0.000       0.532       1.715\n",
      "==============================================================================\n",
      "Omnibus:                       37.534   Durbin-Watson:                   0.545\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):               44.882\n",
      "Skew:                          -0.668   Prob(JB):                     1.80e-10\n",
      "Kurtosis:                       3.636   Cond. No.                     5.37e+09\n",
      "==============================================================================\n",
      "\n",
      "Notes:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
      "[2] The condition number is large, 5.37e+09. This might indicate that there are\n",
      "strong multicollinearity or other numerical problems.\n"
     ]
    }
   ],
   "source": [
    "# Model 2: Pooled OLS - Scope 2 Location\n",
    "pooledOLS = sm.OLS(endog=pooledOLS_Y_log['Scope_2_Location_log'], exog=pooledOLS_X)\n",
    "pooledOLS_model2 = pooledOLS.fit()\n",
    "results = pooledOLS_model2.summary()\n",
    "results_latex = results.as_latex()\n",
    "print(results)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "White Test: Fail to Reject Null Hypothesis, Homoscedasticity\n",
      "\\begin{tabular}{lrrrr}\n",
      "\\toprule\n",
      "{} &  Lagrange multiplier statistic &  LM p-value &  f-value &  f-stat p-value \\\\\n",
      "\\midrule\n",
      "White Test &                        -186.50 &        1.00 &   -26.70 &            1.00 \\\\\n",
      "\\bottomrule\n",
      "\\end{tabular}\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Residual Diagnostics - White's Test\n",
    "# Null Hypothesis: Homoscedasticity\n",
    "# Alternative Hypothesis: Heteroscedasticity\n",
    "# If p-value < 0.05, reject null hypothesis\n",
    "names = ['Lagrange multiplier statistic', 'LM p-value', 'f-value', 'f-stat p-value']\n",
    "test = het_white(pooledOLS_model2.resid, pooledOLS_model2.model.exog)\n",
    "white_t = dict(zip(names, test))\n",
    "white_df = pd.DataFrame(white_t, index=['White Test'])\n",
    "white_df.round(1)\n",
    "\n",
    "\n",
    "if white_t['LM p-value'] < 0.05:\n",
    "    print('White Test: Reject Null Hypothesis, Heteroscedasticity')\n",
    "else:\n",
    "    print('White Test: Fail to Reject Null Hypothesis, Homoscedasticity')\n",
    "\n",
    "print((white_df.round(1)).to_latex())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\\begin{center}\n",
      "\\begin{tabular}{lclc}\n",
      "\\toprule\n",
      "\\textbf{Dep. Variable:}    & Scope\\_2\\_Location\\_log & \\textbf{  R-squared:         } &     0.203   \\\\\n",
      "\\textbf{Model:}            &           OLS           & \\textbf{  Adj. R-squared:    } &     0.193   \\\\\n",
      "\\textbf{Method:}           &      Least Squares      & \\textbf{  F-statistic:       } &     20.61   \\\\\n",
      "\\textbf{Date:}             &     Thu, 22 Jun 2023    & \\textbf{  Prob (F-statistic):} &  1.55e-21   \\\\\n",
      "\\textbf{Time:}             &         23:53:25        & \\textbf{  Log-Likelihood:    } &   -942.35   \\\\\n",
      "\\textbf{No. Observations:} &             492         & \\textbf{  AIC:               } &     1899.   \\\\\n",
      "\\textbf{Df Residuals:}     &             485         & \\textbf{  BIC:               } &     1928.   \\\\\n",
      "\\textbf{Df Model:}         &               6         & \\textbf{                     } &             \\\\\n",
      "\\textbf{Covariance Type:}  &        nonrobust        & \\textbf{                     } &             \\\\\n",
      "\\bottomrule\n",
      "\\end{tabular}\n",
      "\\begin{tabular}{lcccccc}\n",
      "                        & \\textbf{coef} & \\textbf{std err} & \\textbf{t} & \\textbf{P$> |$t$|$} & \\textbf{[0.025} & \\textbf{0.975]}  \\\\\n",
      "\\midrule\n",
      "\\textbf{const}          &      13.0589  &        0.256     &    51.040  &         0.000        &       12.556    &       13.562     \\\\\n",
      "\\textbf{Asset Turnover} &      -0.5831  &        0.147     &    -3.957  &         0.000        &       -0.873    &       -0.294     \\\\\n",
      "\\textbf{Current Ratio}  &      -0.1365  &        0.223     &    -0.613  &         0.540        &       -0.574    &        0.301     \\\\\n",
      "\\textbf{EBITDA Margin}  &       0.0145  &        0.006     &     2.617  &         0.009        &        0.004    &        0.025     \\\\\n",
      "\\textbf{ESG Score}      &   -9.219e-11  &     6.47e-11     &    -1.424  &         0.155        &    -2.19e-10    &      3.5e-11     \\\\\n",
      "\\textbf{Quick Ratio}    &      -0.7160  &        0.238     &    -3.004  &         0.003        &       -1.184    &       -0.248     \\\\\n",
      "\\textbf{Utilities}      &       1.1235  &        0.301     &     3.730  &         0.000        &        0.532    &        1.715     \\\\\n",
      "\\bottomrule\n",
      "\\end{tabular}\n",
      "\\begin{tabular}{lclc}\n",
      "\\textbf{Omnibus:}       & 37.534 & \\textbf{  Durbin-Watson:     } &    0.545  \\\\\n",
      "\\textbf{Prob(Omnibus):} &  0.000 & \\textbf{  Jarque-Bera (JB):  } &   44.882  \\\\\n",
      "\\textbf{Skew:}          & -0.668 & \\textbf{  Prob(JB):          } & 1.80e-10  \\\\\n",
      "\\textbf{Kurtosis:}      &  3.636 & \\textbf{  Cond. No.          } & 5.37e+09  \\\\\n",
      "\\bottomrule\n",
      "\\end{tabular}\n",
      "%\\caption{OLS Regression Results}\n",
      "\\end{center}\n",
      "\n",
      "Notes: \\newline\n",
      " [1] Standard Errors assume that the covariance matrix of the errors is correctly specified. \\newline\n",
      " [2] The condition number is large, 5.37e+09. This might indicate that there are \\newline\n",
      " strong multicollinearity or other numerical problems.\n"
     ]
    }
   ],
   "source": [
    "# Convert Model 2 Results to Latex\n",
    "print(results_latex)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:     Scope_2_Market_log   R-squared:                       0.152\n",
      "Model:                            OLS   Adj. R-squared:                  0.141\n",
      "Method:                 Least Squares   F-statistic:                     14.46\n",
      "Date:                Thu, 22 Jun 2023   Prob (F-statistic):           3.35e-15\n",
      "Time:                        23:53:25   Log-Likelihood:                -1040.3\n",
      "No. Observations:                 492   AIC:                             2095.\n",
      "Df Residuals:                     485   BIC:                             2124.\n",
      "Df Model:                           6                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==================================================================================\n",
      "                     coef    std err          t      P>|t|      [0.025      0.975]\n",
      "----------------------------------------------------------------------------------\n",
      "const             12.5910      0.312     40.328      0.000      11.978      13.204\n",
      "Asset Turnover    -0.4083      0.180     -2.271      0.024      -0.762      -0.055\n",
      "Current Ratio     -0.2329      0.272     -0.857      0.392      -0.767       0.301\n",
      "EBITDA Margin      0.0041      0.007      0.599      0.550      -0.009       0.017\n",
      "ESG Score      -5.868e-11    7.9e-11     -0.743      0.458   -2.14e-10    9.65e-11\n",
      "Quick Ratio       -0.7303      0.291     -2.511      0.012      -1.302      -0.159\n",
      "Utilities          1.5466      0.368      4.208      0.000       0.824       2.269\n",
      "==============================================================================\n",
      "Omnibus:                       49.114   Durbin-Watson:                   0.652\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):               62.046\n",
      "Skew:                          -0.794   Prob(JB):                     3.36e-14\n",
      "Kurtosis:                       3.712   Cond. No.                     5.37e+09\n",
      "==============================================================================\n",
      "\n",
      "Notes:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
      "[2] The condition number is large, 5.37e+09. This might indicate that there are\n",
      "strong multicollinearity or other numerical problems.\n"
     ]
    }
   ],
   "source": [
    "# Model 3: Pooled OLS - Scope 2 Market\n",
    "pooledOLS = sm.OLS(endog=pooledOLS_Y_log['Scope_2_Market_log'], exog=pooledOLS_X)\n",
    "pooledOLS_model3 = pooledOLS.fit()\n",
    "results = pooledOLS_model3.summary()\n",
    "results_latex = results.as_latex()\n",
    "print(results)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "White Test: Fail to Reject Null Hypothesis, Homoscedasticity\n",
      "\\begin{tabular}{lrrrr}\n",
      "\\toprule\n",
      "{} &  Lagrange multiplier statistic &  LM p-value &  f-value &  f-stat p-value \\\\\n",
      "\\midrule\n",
      "White Test &                        -181.20 &        1.00 &   -26.20 &            1.00 \\\\\n",
      "\\bottomrule\n",
      "\\end{tabular}\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Residual Diagnostics - White's Test\n",
    "# Null Hypothesis: Homoscedasticity\n",
    "# Alternative Hypothesis: Heteroscedasticity\n",
    "# If p-value < 0.05, reject null hypothesis\n",
    "names = ['Lagrange multiplier statistic', 'LM p-value', 'f-value', 'f-stat p-value']\n",
    "test = het_white(pooledOLS_model3.resid, pooledOLS_model3.model.exog)\n",
    "white_t = dict(zip(names, test))\n",
    "white_df = pd.DataFrame(white_t, index=['White Test'])\n",
    "white_df.round(1)\n",
    "\n",
    "\n",
    "if white_t['LM p-value'] < 0.05:\n",
    "    print('White Test: Reject Null Hypothesis, Heteroscedasticity')\n",
    "else:\n",
    "    print('White Test: Fail to Reject Null Hypothesis, Homoscedasticity')\n",
    "\n",
    "print((white_df.round(1)).to_latex())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\\begin{center}\n",
      "\\begin{tabular}{lclc}\n",
      "\\toprule\n",
      "\\textbf{Dep. Variable:}    & Scope\\_2\\_Market\\_log & \\textbf{  R-squared:         } &     0.152   \\\\\n",
      "\\textbf{Model:}            &          OLS          & \\textbf{  Adj. R-squared:    } &     0.141   \\\\\n",
      "\\textbf{Method:}           &     Least Squares     & \\textbf{  F-statistic:       } &     14.46   \\\\\n",
      "\\textbf{Date:}             &    Thu, 22 Jun 2023   & \\textbf{  Prob (F-statistic):} &  3.35e-15   \\\\\n",
      "\\textbf{Time:}             &        23:53:25       & \\textbf{  Log-Likelihood:    } &   -1040.3   \\\\\n",
      "\\textbf{No. Observations:} &            492        & \\textbf{  AIC:               } &     2095.   \\\\\n",
      "\\textbf{Df Residuals:}     &            485        & \\textbf{  BIC:               } &     2124.   \\\\\n",
      "\\textbf{Df Model:}         &              6        & \\textbf{                     } &             \\\\\n",
      "\\textbf{Covariance Type:}  &       nonrobust       & \\textbf{                     } &             \\\\\n",
      "\\bottomrule\n",
      "\\end{tabular}\n",
      "\\begin{tabular}{lcccccc}\n",
      "                        & \\textbf{coef} & \\textbf{std err} & \\textbf{t} & \\textbf{P$> |$t$|$} & \\textbf{[0.025} & \\textbf{0.975]}  \\\\\n",
      "\\midrule\n",
      "\\textbf{const}          &      12.5910  &        0.312     &    40.328  &         0.000        &       11.978    &       13.204     \\\\\n",
      "\\textbf{Asset Turnover} &      -0.4083  &        0.180     &    -2.271  &         0.024        &       -0.762    &       -0.055     \\\\\n",
      "\\textbf{Current Ratio}  &      -0.2329  &        0.272     &    -0.857  &         0.392        &       -0.767    &        0.301     \\\\\n",
      "\\textbf{EBITDA Margin}  &       0.0041  &        0.007     &     0.599  &         0.550        &       -0.009    &        0.017     \\\\\n",
      "\\textbf{ESG Score}      &   -5.868e-11  &      7.9e-11     &    -0.743  &         0.458        &    -2.14e-10    &     9.65e-11     \\\\\n",
      "\\textbf{Quick Ratio}    &      -0.7303  &        0.291     &    -2.511  &         0.012        &       -1.302    &       -0.159     \\\\\n",
      "\\textbf{Utilities}      &       1.5466  &        0.368     &     4.208  &         0.000        &        0.824    &        2.269     \\\\\n",
      "\\bottomrule\n",
      "\\end{tabular}\n",
      "\\begin{tabular}{lclc}\n",
      "\\textbf{Omnibus:}       & 49.114 & \\textbf{  Durbin-Watson:     } &    0.652  \\\\\n",
      "\\textbf{Prob(Omnibus):} &  0.000 & \\textbf{  Jarque-Bera (JB):  } &   62.046  \\\\\n",
      "\\textbf{Skew:}          & -0.794 & \\textbf{  Prob(JB):          } & 3.36e-14  \\\\\n",
      "\\textbf{Kurtosis:}      &  3.712 & \\textbf{  Cond. No.          } & 5.37e+09  \\\\\n",
      "\\bottomrule\n",
      "\\end{tabular}\n",
      "%\\caption{OLS Regression Results}\n",
      "\\end{center}\n",
      "\n",
      "Notes: \\newline\n",
      " [1] Standard Errors assume that the covariance matrix of the errors is correctly specified. \\newline\n",
      " [2] The condition number is large, 5.37e+09. This might indicate that there are \\newline\n",
      " strong multicollinearity or other numerical problems.\n"
     ]
    }
   ],
   "source": [
    "# Convert Model 3 Results to Latex\n",
    "print(results_latex)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                              OLS Regression Results                             \n",
      "=================================================================================\n",
      "Dep. Variable:     Scope_1_2Location_log   R-squared:                       0.276\n",
      "Model:                               OLS   Adj. R-squared:                  0.267\n",
      "Method:                    Least Squares   F-statistic:                     30.75\n",
      "Date:                   Thu, 22 Jun 2023   Prob (F-statistic):           2.60e-31\n",
      "Time:                           23:53:25   Log-Likelihood:                -973.41\n",
      "No. Observations:                    492   AIC:                             1961.\n",
      "Df Residuals:                        485   BIC:                             1990.\n",
      "Df Model:                              6                                         \n",
      "Covariance Type:               nonrobust                                         \n",
      "==================================================================================\n",
      "                     coef    std err          t      P>|t|      [0.025      0.975]\n",
      "----------------------------------------------------------------------------------\n",
      "const             14.2557      0.273     52.309      0.000      13.720      14.791\n",
      "Asset Turnover    -0.7263      0.157     -4.627      0.000      -1.035      -0.418\n",
      "Current Ratio     -0.1033      0.237     -0.435      0.664      -0.570       0.363\n",
      "EBITDA Margin     -0.0056      0.006     -0.949      0.343      -0.017       0.006\n",
      "ESG Score      -3.261e-11   6.89e-11     -0.473      0.636   -1.68e-10    1.03e-10\n",
      "Quick Ratio       -0.6601      0.254     -2.600      0.010      -1.159      -0.161\n",
      "Utilities          2.9597      0.321      9.226      0.000       2.329       3.590\n",
      "==============================================================================\n",
      "Omnibus:                        0.788   Durbin-Watson:                   0.491\n",
      "Prob(Omnibus):                  0.674   Jarque-Bera (JB):                0.595\n",
      "Skew:                          -0.042   Prob(JB):                        0.743\n",
      "Kurtosis:                       3.148   Cond. No.                     5.37e+09\n",
      "==============================================================================\n",
      "\n",
      "Notes:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
      "[2] The condition number is large, 5.37e+09. This might indicate that there are\n",
      "strong multicollinearity or other numerical problems.\n"
     ]
    }
   ],
   "source": [
    "# Model 4: Pooled OLS - Scope 1 + 2 Location\n",
    "pooledOLS = sm.OLS(endog=pooledOLS_Y_log['Scope_1_2Location_log'], exog=pooledOLS_X)\n",
    "pooledOLS_model4 = pooledOLS.fit()\n",
    "results = pooledOLS_model4.summary()\n",
    "results_latex = results.as_latex()\n",
    "print(results)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "White Test: Fail to Reject Null Hypothesis, Homoscedasticity\n",
      "\\begin{tabular}{lrrrr}\n",
      "\\toprule\n",
      "{} &  Lagrange multiplier statistic &  LM p-value &  f-value &  f-stat p-value \\\\\n",
      "\\midrule\n",
      "White Test &                        -228.90 &        1.00 &   -30.90 &            1.00 \\\\\n",
      "\\bottomrule\n",
      "\\end{tabular}\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Residual Diagnostics - White's Test\n",
    "# Null Hypothesis: Homoscedasticity\n",
    "# Alternative Hypothesis: Heteroscedasticity\n",
    "# If p-value < 0.05, reject null hypothesis\n",
    "names = ['Lagrange multiplier statistic', 'LM p-value', 'f-value', 'f-stat p-value']\n",
    "test = het_white(pooledOLS_model4.resid, pooledOLS_model4.model.exog)\n",
    "white_t = dict(zip(names, test))\n",
    "white_df = pd.DataFrame(white_t, index=['White Test'])\n",
    "white_df.round(1)\n",
    "\n",
    "\n",
    "if white_t['LM p-value'] < 0.05:\n",
    "    print('White Test: Reject Null Hypothesis, Heteroscedasticity')\n",
    "else:\n",
    "    print('White Test: Fail to Reject Null Hypothesis, Homoscedasticity')\n",
    "\n",
    "print((white_df.round(1)).to_latex())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\\begin{center}\n",
      "\\begin{tabular}{lclc}\n",
      "\\toprule\n",
      "\\textbf{Dep. Variable:}    & Scope\\_1\\_2Location\\_log & \\textbf{  R-squared:         } &     0.276   \\\\\n",
      "\\textbf{Model:}            &           OLS            & \\textbf{  Adj. R-squared:    } &     0.267   \\\\\n",
      "\\textbf{Method:}           &      Least Squares       & \\textbf{  F-statistic:       } &     30.75   \\\\\n",
      "\\textbf{Date:}             &     Thu, 22 Jun 2023     & \\textbf{  Prob (F-statistic):} &  2.60e-31   \\\\\n",
      "\\textbf{Time:}             &         23:53:25         & \\textbf{  Log-Likelihood:    } &   -973.41   \\\\\n",
      "\\textbf{No. Observations:} &             492          & \\textbf{  AIC:               } &     1961.   \\\\\n",
      "\\textbf{Df Residuals:}     &             485          & \\textbf{  BIC:               } &     1990.   \\\\\n",
      "\\textbf{Df Model:}         &               6          & \\textbf{                     } &             \\\\\n",
      "\\textbf{Covariance Type:}  &        nonrobust         & \\textbf{                     } &             \\\\\n",
      "\\bottomrule\n",
      "\\end{tabular}\n",
      "\\begin{tabular}{lcccccc}\n",
      "                        & \\textbf{coef} & \\textbf{std err} & \\textbf{t} & \\textbf{P$> |$t$|$} & \\textbf{[0.025} & \\textbf{0.975]}  \\\\\n",
      "\\midrule\n",
      "\\textbf{const}          &      14.2557  &        0.273     &    52.309  &         0.000        &       13.720    &       14.791     \\\\\n",
      "\\textbf{Asset Turnover} &      -0.7263  &        0.157     &    -4.627  &         0.000        &       -1.035    &       -0.418     \\\\\n",
      "\\textbf{Current Ratio}  &      -0.1033  &        0.237     &    -0.435  &         0.664        &       -0.570    &        0.363     \\\\\n",
      "\\textbf{EBITDA Margin}  &      -0.0056  &        0.006     &    -0.949  &         0.343        &       -0.017    &        0.006     \\\\\n",
      "\\textbf{ESG Score}      &   -3.261e-11  &     6.89e-11     &    -0.473  &         0.636        &    -1.68e-10    &     1.03e-10     \\\\\n",
      "\\textbf{Quick Ratio}    &      -0.6601  &        0.254     &    -2.600  &         0.010        &       -1.159    &       -0.161     \\\\\n",
      "\\textbf{Utilities}      &       2.9597  &        0.321     &     9.226  &         0.000        &        2.329    &        3.590     \\\\\n",
      "\\bottomrule\n",
      "\\end{tabular}\n",
      "\\begin{tabular}{lclc}\n",
      "\\textbf{Omnibus:}       &  0.788 & \\textbf{  Durbin-Watson:     } &    0.491  \\\\\n",
      "\\textbf{Prob(Omnibus):} &  0.674 & \\textbf{  Jarque-Bera (JB):  } &    0.595  \\\\\n",
      "\\textbf{Skew:}          & -0.042 & \\textbf{  Prob(JB):          } &    0.743  \\\\\n",
      "\\textbf{Kurtosis:}      &  3.148 & \\textbf{  Cond. No.          } & 5.37e+09  \\\\\n",
      "\\bottomrule\n",
      "\\end{tabular}\n",
      "%\\caption{OLS Regression Results}\n",
      "\\end{center}\n",
      "\n",
      "Notes: \\newline\n",
      " [1] Standard Errors assume that the covariance matrix of the errors is correctly specified. \\newline\n",
      " [2] The condition number is large, 5.37e+09. This might indicate that there are \\newline\n",
      " strong multicollinearity or other numerical problems.\n"
     ]
    }
   ],
   "source": [
    "# Convert Model 4 Results to Latex\n",
    "print(results_latex)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                             OLS Regression Results                            \n",
      "===============================================================================\n",
      "Dep. Variable:     Scope_1_2Market_log   R-squared:                       0.263\n",
      "Model:                             OLS   Adj. R-squared:                  0.254\n",
      "Method:                  Least Squares   F-statistic:                     28.91\n",
      "Date:                 Thu, 22 Jun 2023   Prob (F-statistic):           1.32e-29\n",
      "Time:                         23:53:25   Log-Likelihood:                -1013.6\n",
      "No. Observations:                  492   AIC:                             2041.\n",
      "Df Residuals:                      485   BIC:                             2071.\n",
      "Df Model:                            6                                         \n",
      "Covariance Type:             nonrobust                                         \n",
      "==================================================================================\n",
      "                     coef    std err          t      P>|t|      [0.025      0.975]\n",
      "----------------------------------------------------------------------------------\n",
      "const             14.0582      0.296     47.536      0.000      13.477      14.639\n",
      "Asset Turnover    -0.6975      0.170     -4.095      0.000      -1.032      -0.363\n",
      "Current Ratio     -0.2009      0.258     -0.780      0.436      -0.707       0.305\n",
      "EBITDA Margin     -0.0067      0.006     -1.044      0.297      -0.019       0.006\n",
      "ESG Score      -1.704e-11   7.48e-11     -0.228      0.820   -1.64e-10     1.3e-10\n",
      "Quick Ratio       -0.6151      0.276     -2.232      0.026      -1.156      -0.074\n",
      "Utilities          3.1658      0.348      9.094      0.000       2.482       3.850\n",
      "==============================================================================\n",
      "Omnibus:                        0.742   Durbin-Watson:                   0.487\n",
      "Prob(Omnibus):                  0.690   Jarque-Bera (JB):                0.581\n",
      "Skew:                          -0.070   Prob(JB):                        0.748\n",
      "Kurtosis:                       3.094   Cond. No.                     5.37e+09\n",
      "==============================================================================\n",
      "\n",
      "Notes:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
      "[2] The condition number is large, 5.37e+09. This might indicate that there are\n",
      "strong multicollinearity or other numerical problems.\n"
     ]
    }
   ],
   "source": [
    "# Model 5: Pooled OLS - Scope 1 + 2 Market\n",
    "pooledOLS = sm.OLS(endog=pooledOLS_Y_log['Scope_1_2Market_log'], exog=pooledOLS_X)\n",
    "pooledOLS_model5 = pooledOLS.fit()\n",
    "results = pooledOLS_model5.summary()\n",
    "results_latex = results.as_latex()\n",
    "print(results)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "White Test: Fail to Reject Null Hypothesis, Homoscedasticity\n",
      "\\begin{tabular}{lrrrr}\n",
      "\\toprule\n",
      "{} &  Lagrange multiplier statistic &  LM p-value &  f-value &  f-stat p-value \\\\\n",
      "\\midrule\n",
      "White Test &                        -234.10 &        1.00 &   -31.30 &            1.00 \\\\\n",
      "\\bottomrule\n",
      "\\end{tabular}\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Residual Diagnostics - White's Test\n",
    "# Null Hypothesis: Homoscedasticity\n",
    "# Alternative Hypothesis: Heteroscedasticity\n",
    "# If p-value < 0.05, reject null hypothesis\n",
    "names = ['Lagrange multiplier statistic', 'LM p-value', 'f-value', 'f-stat p-value']\n",
    "test = het_white(pooledOLS_model5.resid, pooledOLS_model5.model.exog)\n",
    "white_t = dict(zip(names, test))\n",
    "white_df = pd.DataFrame(white_t, index=['White Test'])\n",
    "white_df.round(1)\n",
    "\n",
    "\n",
    "if white_t['LM p-value'] < 0.05:\n",
    "    print('White Test: Reject Null Hypothesis, Heteroscedasticity')\n",
    "else:\n",
    "    print('White Test: Fail to Reject Null Hypothesis, Homoscedasticity')\n",
    "\n",
    "print((white_df.round(1)).to_latex())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\\begin{center}\n",
      "\\begin{tabular}{lclc}\n",
      "\\toprule\n",
      "\\textbf{Dep. Variable:}    & Scope\\_1\\_2Market\\_log & \\textbf{  R-squared:         } &     0.263   \\\\\n",
      "\\textbf{Model:}            &          OLS           & \\textbf{  Adj. R-squared:    } &     0.254   \\\\\n",
      "\\textbf{Method:}           &     Least Squares      & \\textbf{  F-statistic:       } &     28.91   \\\\\n",
      "\\textbf{Date:}             &    Thu, 22 Jun 2023    & \\textbf{  Prob (F-statistic):} &  1.32e-29   \\\\\n",
      "\\textbf{Time:}             &        23:53:25        & \\textbf{  Log-Likelihood:    } &   -1013.6   \\\\\n",
      "\\textbf{No. Observations:} &            492         & \\textbf{  AIC:               } &     2041.   \\\\\n",
      "\\textbf{Df Residuals:}     &            485         & \\textbf{  BIC:               } &     2071.   \\\\\n",
      "\\textbf{Df Model:}         &              6         & \\textbf{                     } &             \\\\\n",
      "\\textbf{Covariance Type:}  &       nonrobust        & \\textbf{                     } &             \\\\\n",
      "\\bottomrule\n",
      "\\end{tabular}\n",
      "\\begin{tabular}{lcccccc}\n",
      "                        & \\textbf{coef} & \\textbf{std err} & \\textbf{t} & \\textbf{P$> |$t$|$} & \\textbf{[0.025} & \\textbf{0.975]}  \\\\\n",
      "\\midrule\n",
      "\\textbf{const}          &      14.0582  &        0.296     &    47.536  &         0.000        &       13.477    &       14.639     \\\\\n",
      "\\textbf{Asset Turnover} &      -0.6975  &        0.170     &    -4.095  &         0.000        &       -1.032    &       -0.363     \\\\\n",
      "\\textbf{Current Ratio}  &      -0.2009  &        0.258     &    -0.780  &         0.436        &       -0.707    &        0.305     \\\\\n",
      "\\textbf{EBITDA Margin}  &      -0.0067  &        0.006     &    -1.044  &         0.297        &       -0.019    &        0.006     \\\\\n",
      "\\textbf{ESG Score}      &   -1.704e-11  &     7.48e-11     &    -0.228  &         0.820        &    -1.64e-10    &      1.3e-10     \\\\\n",
      "\\textbf{Quick Ratio}    &      -0.6151  &        0.276     &    -2.232  &         0.026        &       -1.156    &       -0.074     \\\\\n",
      "\\textbf{Utilities}      &       3.1658  &        0.348     &     9.094  &         0.000        &        2.482    &        3.850     \\\\\n",
      "\\bottomrule\n",
      "\\end{tabular}\n",
      "\\begin{tabular}{lclc}\n",
      "\\textbf{Omnibus:}       &  0.742 & \\textbf{  Durbin-Watson:     } &    0.487  \\\\\n",
      "\\textbf{Prob(Omnibus):} &  0.690 & \\textbf{  Jarque-Bera (JB):  } &    0.581  \\\\\n",
      "\\textbf{Skew:}          & -0.070 & \\textbf{  Prob(JB):          } &    0.748  \\\\\n",
      "\\textbf{Kurtosis:}      &  3.094 & \\textbf{  Cond. No.          } & 5.37e+09  \\\\\n",
      "\\bottomrule\n",
      "\\end{tabular}\n",
      "%\\caption{OLS Regression Results}\n",
      "\\end{center}\n",
      "\n",
      "Notes: \\newline\n",
      " [1] Standard Errors assume that the covariance matrix of the errors is correctly specified. \\newline\n",
      " [2] The condition number is large, 5.37e+09. This might indicate that there are \\newline\n",
      " strong multicollinearity or other numerical problems.\n"
     ]
    }
   ],
   "source": [
    "# Convert Model 5 Results to Latex\n",
    "print(results_latex)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\\begin{tabular}{rl}\n",
      "\\toprule\n",
      " VIF Factor &       features \\\\\n",
      "\\midrule\n",
      "      11.80 &          const \\\\\n",
      "       1.30 & Asset Turnover \\\\\n",
      "       4.60 &  Current Ratio \\\\\n",
      "       1.20 &  EBITDA Margin \\\\\n",
      "       1.00 &      ESG Score \\\\\n",
      "       4.60 &    Quick Ratio \\\\\n",
      "       1.10 &      Utilities \\\\\n",
      "\\bottomrule\n",
      "\\end{tabular}\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Examine Multicollinearity\n",
    "\n",
    "# Variance Inflation Factors\n",
    "vif = pd.DataFrame()\n",
    "vif[\"VIF Factor\"] = [variance_inflation_factor(pooledOLS_X.values, i) for i in range(pooledOLS_X.shape[1])]\n",
    "vif[\"features\"] = pooledOLS_X.columns\n",
    "print(vif.round(1).to_latex(index=False))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Optimal Alpha: 0.990000\n",
      "MSE Train: 5.016, Test: 5.855\n",
      "R^2 Train: 0.315, Test: 0.100\n"
     ]
    }
   ],
   "source": [
    "# Ridge Regression to Account for Multicollinearity and Assess Model Performance\n",
    "\n",
    "# Model 1: Ridge Regression - Scope 1\n",
    "X = pooledOLS_X\n",
    "y = pooledOLS_Y_log['Scope_1_log']\n",
    "\n",
    "# CV to Determine Optimal Alpha\n",
    "cv = RepeatedKFold(n_splits=10, n_repeats=3, random_state=1)\n",
    "model = RidgeCV(alphas=np.arange(0, 1, 0.01), cv=cv, scoring='neg_mean_absolute_error')\n",
    "model.fit(X, y)\n",
    "print('Optimal Alpha: %f' % model.alpha_)\n",
    "\n",
    "# Train and Test Model\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=42)\n",
    "pipeline = make_pipeline(StandardScaler(), Ridge(alpha=model.alpha_))\n",
    "pipeline.fit(X_train, y_train)\n",
    "\n",
    "y_train_pred = pipeline.predict(X_train)\n",
    "y_test_pred = pipeline.predict(X_test)\n",
    "\n",
    "# Model Performance\n",
    "\n",
    "# MSE (Mean-Squared Error)\n",
    "print('MSE Train: %.3f, Test: %.3f' % (mean_squared_error(y_train, y_train_pred), mean_squared_error(y_test, y_test_pred)))\n",
    "\n",
    "# R^2 (Coefficient of Determination)\n",
    "print('R^2 Train: %.3f, Test: %.3f' % (r2_score(y_train, y_train_pred), r2_score(y_test, y_test_pred)))\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Optimal Alpha: 0.990000\n",
      "MSE Train: 2.717, Test: 2.705\n",
      "R^2 Train: 0.221, Test: 0.141\n"
     ]
    }
   ],
   "source": [
    "# Model 2: Ridge Regression - Scope 2 Location\n",
    "X = pooledOLS_X\n",
    "y = pooledOLS_Y_log['Scope_2_Location_log']\n",
    "\n",
    "# CV to Determine Optimal Alpha\n",
    "cv = RepeatedKFold(n_splits=10, n_repeats=3, random_state=1)\n",
    "model = RidgeCV(alphas=np.arange(0, 1, 0.01), cv=cv, scoring='neg_mean_absolute_error')\n",
    "model.fit(X, y)\n",
    "print('Optimal Alpha: %f' % model.alpha_)\n",
    "\n",
    "# Train and Test Model\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=42)\n",
    "pipeline = make_pipeline(StandardScaler(), Ridge(alpha=model.alpha_))\n",
    "pipeline.fit(X_train, y_train)\n",
    "\n",
    "y_train_pred = pipeline.predict(X_train)\n",
    "y_test_pred = pipeline.predict(X_test)\n",
    "\n",
    "# Model Performance\n",
    "\n",
    "# MSE (Mean-Squared Error)\n",
    "print('MSE Train: %.3f, Test: %.3f' % (mean_squared_error(y_train, y_train_pred), mean_squared_error(y_test, y_test_pred)))\n",
    "\n",
    "# R^2 (Coefficient of Determination)\n",
    "print('R^2 Train: %.3f, Test: %.3f' % (r2_score(y_train, y_train_pred), r2_score(y_test, y_test_pred)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Optimal Alpha: 0.990000\n",
      "MSE Train: 3.832, Test: 4.609\n",
      "R^2 Train: 0.205, Test: -0.014\n"
     ]
    }
   ],
   "source": [
    "# Model 3: Ridge Regression - Scope 2 Market\n",
    "X = pooledOLS_X\n",
    "y = pooledOLS_Y_log['Scope_2_Market_log']\n",
    "\n",
    "# CV to Determine Optimal Alpha\n",
    "cv = RepeatedKFold(n_splits=10, n_repeats=3, random_state=1)\n",
    "model = RidgeCV(alphas=np.arange(0, 1, 0.01), cv=cv, scoring='neg_mean_absolute_error')\n",
    "model.fit(X, y)\n",
    "print('Optimal Alpha: %f' % model.alpha_)\n",
    "\n",
    "# Train and Test Model\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=42)\n",
    "pipeline = make_pipeline(StandardScaler(), Ridge(alpha=model.alpha_))\n",
    "pipeline.fit(X_train, y_train)\n",
    "\n",
    "y_train_pred = pipeline.predict(X_train)\n",
    "y_test_pred = pipeline.predict(X_test)\n",
    "\n",
    "# Model Performance\n",
    "\n",
    "# MSE (Mean-Squared Error)\n",
    "print('MSE Train: %.3f, Test: %.3f' % (mean_squared_error(y_train, y_train_pred), mean_squared_error(y_test, y_test_pred)))\n",
    "\n",
    "# R^2 (Coefficient of Determination)\n",
    "print('R^2 Train: %.3f, Test: %.3f' % (r2_score(y_train, y_train_pred), r2_score(y_test, y_test_pred)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Optimal Alpha: 0.990000\n",
      "MSE Train: 2.996, Test: 3.330\n",
      "R^2 Train: 0.311, Test: 0.157\n"
     ]
    }
   ],
   "source": [
    "# Model 4: Ridge Regression - Scope 1 + Scope 2 Location\n",
    "X = pooledOLS_X\n",
    "y = pooledOLS_Y_log['Scope_1_2Location_log']\n",
    "\n",
    "# CV to Determine Optimal Alpha\n",
    "cv = RepeatedKFold(n_splits=10, n_repeats=3, random_state=1)\n",
    "model = RidgeCV(alphas=np.arange(0, 1, 0.01), cv=cv, scoring='neg_mean_absolute_error')\n",
    "model.fit(X, y)\n",
    "print('Optimal Alpha: %f' % model.alpha_)\n",
    "\n",
    "# Train and Test Model\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=42)\n",
    "pipeline = make_pipeline(StandardScaler(), Ridge(alpha=model.alpha_))\n",
    "pipeline.fit(X_train, y_train)\n",
    "\n",
    "y_train_pred = pipeline.predict(X_train)\n",
    "y_test_pred = pipeline.predict(X_test)\n",
    "\n",
    "# Model Performance\n",
    "\n",
    "# MSE (Mean-Squared Error)\n",
    "print('MSE Train: %.3f, Test: %.3f' % (mean_squared_error(y_train, y_train_pred), mean_squared_error(y_test, y_test_pred)))\n",
    "\n",
    "# R^2 (Coefficient of Determination)\n",
    "print('R^2 Train: %.3f, Test: %.3f' % (r2_score(y_train, y_train_pred), r2_score(y_test, y_test_pred)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Optimal Alpha: 0.360000\n",
      "MSE Train: 3.519, Test: 3.980\n",
      "R^2 Train: 0.308, Test: 0.107\n"
     ]
    }
   ],
   "source": [
    "# Model 5: Ridge Regression - Scope 1 + Scope 2 Market\n",
    "X = pooledOLS_X\n",
    "y = pooledOLS_Y_log['Scope_1_2Market_log']\n",
    "\n",
    "# CV to Determine Optimal Alpha\n",
    "cv = RepeatedKFold(n_splits=10, n_repeats=3, random_state=1)\n",
    "model = RidgeCV(alphas=np.arange(0, 1, 0.01), cv=cv, scoring='neg_mean_absolute_error')\n",
    "model.fit(X, y)\n",
    "print('Optimal Alpha: %f' % model.alpha_)\n",
    "\n",
    "# Train and Test Model\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=42)\n",
    "pipeline = make_pipeline(StandardScaler(), Ridge(alpha=model.alpha_))\n",
    "pipeline.fit(X_train, y_train)\n",
    "\n",
    "y_train_pred = pipeline.predict(X_train)\n",
    "y_test_pred = pipeline.predict(X_test)\n",
    "\n",
    "# Model Performance\n",
    "\n",
    "# MSE (Mean-Squared Error)\n",
    "print('MSE Train: %.3f, Test: %.3f' % (mean_squared_error(y_train, y_train_pred), mean_squared_error(y_test, y_test_pred)))\n",
    "\n",
    "# R^2 (Coefficient of Determination)\n",
    "print('R^2 Train: %.3f, Test: %.3f' % (r2_score(y_train, y_train_pred), r2_score(y_test, y_test_pred)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Low Values of R^2 and High Values of MSE indicate that the model is not a good fit for the data.\n",
    "# This is likely due to the fact that the number of observations vastly outnumbers the number of features."
   ]
  }
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