{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# EDA on Sentiments: Correlation\n",
    "\n",
    "Analyse statement by Loughran and McDonald dictionary\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:ekorpkit.base:IPython version: (6, 9, 0), client: jupyter_client\n",
      "INFO:ekorpkit.base:Google Colab not detected.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "version: 0.1.35+0.g69734d6.dirty\n",
      "is notebook? True\n",
      "is colab? False\n",
      "evironment varialbles:\n",
      "{'CUDA_DEVICE_ORDER': None,\n",
      " 'CUDA_VISIBLE_DEVICES': None,\n",
      " 'EKORPKIT_CONFIG_DIR': '/workspace/projects/ekorpkit-book/config',\n",
      " 'EKORPKIT_DATA_DIR': None,\n",
      " 'EKORPKIT_LOG_LEVEL': 'WARNING',\n",
      " 'EKORPKIT_PROJECT': 'ekorpkit-book',\n",
      " 'EKORPKIT_WORKSPACE_ROOT': '/workspace',\n",
      " 'KMP_DUPLICATE_LIB_OK': 'TRUE',\n",
      " 'NUM_WORKERS': 230}\n"
     ]
    }
   ],
   "source": [
    "%config InlineBackend.figure_format='retina'\n",
    "from ekorpkit import eKonf\n",
    "\n",
    "eKonf.setLogger(\"WARNING\")\n",
    "print(\"version:\", eKonf.__version__)\n",
    "print(\"is notebook?\", eKonf.is_notebook())\n",
    "print(\"is colab?\", eKonf.is_colab())\n",
    "print(\"evironment varialbles:\")\n",
    "eKonf.print(eKonf.env().dict())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pydantic.types.SecretStr"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "start_year = 1999\n",
    "data_dir = \"../data/fomc\"\n",
    "eKonf.env().FRED_API_KEY"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load datasets\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "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>polarity_mean_beigebook</th>\n",
       "      <th>polarity_mean_meeting_script</th>\n",
       "      <th>polarity_mean_minutes</th>\n",
       "      <th>polarity_mean_press_conf</th>\n",
       "      <th>polarity_mean_speech</th>\n",
       "      <th>polarity_mean_statement</th>\n",
       "      <th>polarity_mean_testimony</th>\n",
       "      <th>polarity_diffusion_beigebook</th>\n",
       "      <th>polarity_diffusion_meeting_script</th>\n",
       "      <th>polarity_diffusion_minutes</th>\n",
       "      <th>...</th>\n",
       "      <th>num_tokens_sum_speech</th>\n",
       "      <th>num_tokens_sum_statement</th>\n",
       "      <th>num_tokens_sum_testimony</th>\n",
       "      <th>num_tokens_mean_beigebook</th>\n",
       "      <th>num_tokens_mean_meeting_script</th>\n",
       "      <th>num_tokens_mean_minutes</th>\n",
       "      <th>num_tokens_mean_press_conf</th>\n",
       "      <th>num_tokens_mean_speech</th>\n",
       "      <th>num_tokens_mean_statement</th>\n",
       "      <th>num_tokens_mean_testimony</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1990-02-07</th>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.087583</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.095663</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.213010</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1990-03-27</th>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.171992</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.179702</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>29.846369</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1990-05-15</th>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.116052</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.125461</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>29.749077</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1990-07-03</th>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.114829</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.117794</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>29.667920</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1990-08-21</th>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.209552</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.219403</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>31.032836</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-11-30</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.167014</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>3066.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>556.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>31.937500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>27.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-12-01</th>\n",
       "      <td>-0.046022</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.048109</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22.539497</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-12-02</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.077381</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>6514.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>36.188889</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-12-15</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.043929</td>\n",
       "      <td>-0.075441</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.064286</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>489.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.521429</td>\n",
       "      <td>37.587413</td>\n",
       "      <td>NaN</td>\n",
       "      <td>27.166667</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-12-17</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.356613</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>3694.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>29.317460</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1876 rows × 35 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            polarity_mean_beigebook  polarity_mean_meeting_script  \\\n",
       "date                                                                \n",
       "1990-02-07                      NaN                     -0.087583   \n",
       "1990-03-27                      NaN                     -0.171992   \n",
       "1990-05-15                      NaN                     -0.116052   \n",
       "1990-07-03                      NaN                     -0.114829   \n",
       "1990-08-21                      NaN                     -0.209552   \n",
       "...                             ...                           ...   \n",
       "2021-11-30                      NaN                           NaN   \n",
       "2021-12-01                -0.046022                           NaN   \n",
       "2021-12-02                      NaN                           NaN   \n",
       "2021-12-15                      NaN                           NaN   \n",
       "2021-12-17                      NaN                           NaN   \n",
       "\n",
       "            polarity_mean_minutes  polarity_mean_press_conf  \\\n",
       "date                                                          \n",
       "1990-02-07                    NaN                       NaN   \n",
       "1990-03-27                    NaN                       NaN   \n",
       "1990-05-15                    NaN                       NaN   \n",
       "1990-07-03                    NaN                       NaN   \n",
       "1990-08-21                    NaN                       NaN   \n",
       "...                           ...                       ...   \n",
       "2021-11-30                    NaN                       NaN   \n",
       "2021-12-01                    NaN                       NaN   \n",
       "2021-12-02                    NaN                       NaN   \n",
       "2021-12-15              -0.043929                 -0.075441   \n",
       "2021-12-17                    NaN                       NaN   \n",
       "\n",
       "            polarity_mean_speech  polarity_mean_statement  \\\n",
       "date                                                        \n",
       "1990-02-07                   NaN                      NaN   \n",
       "1990-03-27                   NaN                      NaN   \n",
       "1990-05-15                   NaN                      NaN   \n",
       "1990-07-03                   NaN                      NaN   \n",
       "1990-08-21                   NaN                      NaN   \n",
       "...                          ...                      ...   \n",
       "2021-11-30             -0.167014                      NaN   \n",
       "2021-12-01                   NaN                      NaN   \n",
       "2021-12-02             -0.077381                      NaN   \n",
       "2021-12-15                   NaN                 0.166667   \n",
       "2021-12-17             -0.356613                      NaN   \n",
       "\n",
       "            polarity_mean_testimony  polarity_diffusion_beigebook  \\\n",
       "date                                                                \n",
       "1990-02-07                      NaN                           NaN   \n",
       "1990-03-27                      NaN                           NaN   \n",
       "1990-05-15                      NaN                           NaN   \n",
       "1990-07-03                      NaN                           NaN   \n",
       "1990-08-21                      NaN                           NaN   \n",
       "...                             ...                           ...   \n",
       "2021-11-30                    -0.12                           NaN   \n",
       "2021-12-01                      NaN                     -0.048109   \n",
       "2021-12-02                      NaN                           NaN   \n",
       "2021-12-15                      NaN                           NaN   \n",
       "2021-12-17                      NaN                           NaN   \n",
       "\n",
       "            polarity_diffusion_meeting_script  polarity_diffusion_minutes  \\\n",
       "date                                                                        \n",
       "1990-02-07                          -0.095663                         NaN   \n",
       "1990-03-27                          -0.179702                         NaN   \n",
       "1990-05-15                          -0.125461                         NaN   \n",
       "1990-07-03                          -0.117794                         NaN   \n",
       "1990-08-21                          -0.219403                         NaN   \n",
       "...                                       ...                         ...   \n",
       "2021-11-30                                NaN                         NaN   \n",
       "2021-12-01                                NaN                         NaN   \n",
       "2021-12-02                                NaN                         NaN   \n",
       "2021-12-15                                NaN                   -0.064286   \n",
       "2021-12-17                                NaN                         NaN   \n",
       "\n",
       "            ...  num_tokens_sum_speech  num_tokens_sum_statement  \\\n",
       "date        ...                                                    \n",
       "1990-02-07  ...                    NaN                       NaN   \n",
       "1990-03-27  ...                    NaN                       NaN   \n",
       "1990-05-15  ...                    NaN                       NaN   \n",
       "1990-07-03  ...                    NaN                       NaN   \n",
       "1990-08-21  ...                    NaN                       NaN   \n",
       "...         ...                    ...                       ...   \n",
       "2021-11-30  ...                 3066.0                       NaN   \n",
       "2021-12-01  ...                    NaN                       NaN   \n",
       "2021-12-02  ...                 6514.0                       NaN   \n",
       "2021-12-15  ...                    NaN                     489.0   \n",
       "2021-12-17  ...                 3694.0                       NaN   \n",
       "\n",
       "            num_tokens_sum_testimony  num_tokens_mean_beigebook  \\\n",
       "date                                                              \n",
       "1990-02-07                       NaN                        NaN   \n",
       "1990-03-27                       NaN                        NaN   \n",
       "1990-05-15                       NaN                        NaN   \n",
       "1990-07-03                       NaN                        NaN   \n",
       "1990-08-21                       NaN                        NaN   \n",
       "...                              ...                        ...   \n",
       "2021-11-30                     556.0                        NaN   \n",
       "2021-12-01                       NaN                  22.539497   \n",
       "2021-12-02                       NaN                        NaN   \n",
       "2021-12-15                       NaN                        NaN   \n",
       "2021-12-17                       NaN                        NaN   \n",
       "\n",
       "            num_tokens_mean_meeting_script  num_tokens_mean_minutes  \\\n",
       "date                                                                  \n",
       "1990-02-07                       30.213010                      NaN   \n",
       "1990-03-27                       29.846369                      NaN   \n",
       "1990-05-15                       29.749077                      NaN   \n",
       "1990-07-03                       29.667920                      NaN   \n",
       "1990-08-21                       31.032836                      NaN   \n",
       "...                                    ...                      ...   \n",
       "2021-11-30                             NaN                      NaN   \n",
       "2021-12-01                             NaN                      NaN   \n",
       "2021-12-02                             NaN                      NaN   \n",
       "2021-12-15                             NaN                30.521429   \n",
       "2021-12-17                             NaN                      NaN   \n",
       "\n",
       "            num_tokens_mean_press_conf  num_tokens_mean_speech  \\\n",
       "date                                                             \n",
       "1990-02-07                         NaN                     NaN   \n",
       "1990-03-27                         NaN                     NaN   \n",
       "1990-05-15                         NaN                     NaN   \n",
       "1990-07-03                         NaN                     NaN   \n",
       "1990-08-21                         NaN                     NaN   \n",
       "...                                ...                     ...   \n",
       "2021-11-30                         NaN               31.937500   \n",
       "2021-12-01                         NaN                     NaN   \n",
       "2021-12-02                         NaN               36.188889   \n",
       "2021-12-15                   37.587413                     NaN   \n",
       "2021-12-17                         NaN               29.317460   \n",
       "\n",
       "            num_tokens_mean_statement  num_tokens_mean_testimony  \n",
       "date                                                              \n",
       "1990-02-07                        NaN                        NaN  \n",
       "1990-03-27                        NaN                        NaN  \n",
       "1990-05-15                        NaN                        NaN  \n",
       "1990-07-03                        NaN                        NaN  \n",
       "1990-08-21                        NaN                        NaN  \n",
       "...                               ...                        ...  \n",
       "2021-11-30                        NaN                       27.8  \n",
       "2021-12-01                        NaN                        NaN  \n",
       "2021-12-02                        NaN                        NaN  \n",
       "2021-12-15                  27.166667                        NaN  \n",
       "2021-12-17                        NaN                        NaN  \n",
       "\n",
       "[1876 rows x 35 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tone_data_lm = eKonf.load_data(\"fomc_tone_data_lm.parquet\", data_dir)\n",
    "tone_data_lm\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>finbert_mean_minutes</th>\n",
       "      <th>finbert_mean_press_conf</th>\n",
       "      <th>finbert_mean_speech</th>\n",
       "      <th>finbert_mean_statement</th>\n",
       "      <th>finbert_diffusion_minutes</th>\n",
       "      <th>finbert_diffusion_press_conf</th>\n",
       "      <th>finbert_diffusion_speech</th>\n",
       "      <th>finbert_diffusion_statement</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1990-02-07</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>1990-03-27</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>1990-05-15</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>1990-07-03</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1990-08-21</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <th>...</th>\n",
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       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-11-30</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.182338</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.239583</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-12-01</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-12-02</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.262141</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.338889</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-12-15</th>\n",
       "      <td>0.509806</td>\n",
       "      <td>0.280516</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.412947</td>\n",
       "      <td>0.675</td>\n",
       "      <td>0.377622</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.555556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-12-17</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.408242</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.547619</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1876 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            finbert_mean_minutes  finbert_mean_press_conf  \\\n",
       "date                                                        \n",
       "1990-02-07                   NaN                      NaN   \n",
       "1990-03-27                   NaN                      NaN   \n",
       "1990-05-15                   NaN                      NaN   \n",
       "1990-07-03                   NaN                      NaN   \n",
       "1990-08-21                   NaN                      NaN   \n",
       "...                          ...                      ...   \n",
       "2021-11-30                   NaN                      NaN   \n",
       "2021-12-01                   NaN                      NaN   \n",
       "2021-12-02                   NaN                      NaN   \n",
       "2021-12-15              0.509806                 0.280516   \n",
       "2021-12-17                   NaN                      NaN   \n",
       "\n",
       "            finbert_mean_speech  finbert_mean_statement  \\\n",
       "date                                                      \n",
       "1990-02-07                  NaN                     NaN   \n",
       "1990-03-27                  NaN                     NaN   \n",
       "1990-05-15                  NaN                     NaN   \n",
       "1990-07-03                  NaN                     NaN   \n",
       "1990-08-21                  NaN                     NaN   \n",
       "...                         ...                     ...   \n",
       "2021-11-30             0.182338                     NaN   \n",
       "2021-12-01                  NaN                     NaN   \n",
       "2021-12-02             0.262141                     NaN   \n",
       "2021-12-15                  NaN                0.412947   \n",
       "2021-12-17             0.408242                     NaN   \n",
       "\n",
       "            finbert_diffusion_minutes  finbert_diffusion_press_conf  \\\n",
       "date                                                                  \n",
       "1990-02-07                        NaN                           NaN   \n",
       "1990-03-27                        NaN                           NaN   \n",
       "1990-05-15                        NaN                           NaN   \n",
       "1990-07-03                        NaN                           NaN   \n",
       "1990-08-21                        NaN                           NaN   \n",
       "...                               ...                           ...   \n",
       "2021-11-30                        NaN                           NaN   \n",
       "2021-12-01                        NaN                           NaN   \n",
       "2021-12-02                        NaN                           NaN   \n",
       "2021-12-15                      0.675                      0.377622   \n",
       "2021-12-17                        NaN                           NaN   \n",
       "\n",
       "            finbert_diffusion_speech  finbert_diffusion_statement  \n",
       "date                                                               \n",
       "1990-02-07                       NaN                          NaN  \n",
       "1990-03-27                       NaN                          NaN  \n",
       "1990-05-15                       NaN                          NaN  \n",
       "1990-07-03                       NaN                          NaN  \n",
       "1990-08-21                       NaN                          NaN  \n",
       "...                              ...                          ...  \n",
       "2021-11-30                  0.239583                          NaN  \n",
       "2021-12-01                       NaN                          NaN  \n",
       "2021-12-02                  0.338889                          NaN  \n",
       "2021-12-15                       NaN                     0.555556  \n",
       "2021-12-17                  0.547619                          NaN  \n",
       "\n",
       "[1876 rows x 8 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tone_data_finbert = eKonf.load_data(\"fomc_tone_data_finbert.parquet\", data_dir)\n",
    "\n",
    "cols = [\n",
    "    \"polarity_mean_minutes\",\n",
    "    \"polarity_mean_press_conf\",\n",
    "    \"polarity_mean_speech\",\n",
    "    \"polarity_mean_statement\",\n",
    "    \"polarity_diffusion_minutes\",\n",
    "    \"polarity_diffusion_press_conf\",\n",
    "    \"polarity_diffusion_speech\",\n",
    "    \"polarity_diffusion_statement\",\n",
    "]\n",
    "\n",
    "tone_data_finbert = tone_data_finbert[cols].copy()\n",
    "tone_data_finbert.columns = tone_data_finbert.columns.str.replace(\"polarity\", \"finbert\")\n",
    "tone_data_finbert\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>t5_diffusion_minutes</th>\n",
       "      <th>t5_diffusion_press_conf</th>\n",
       "      <th>t5_diffusion_speech</th>\n",
       "      <th>t5_diffusion_statement</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1990-02-07</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>1990-03-27</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1990-05-15</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1990-07-03</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1990-08-21</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-11-30</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.239583</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-12-01</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-12-02</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-12-15</th>\n",
       "      <td>0.403571</td>\n",
       "      <td>0.216783</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.444444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-12-17</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.174603</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1876 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            t5_diffusion_minutes  t5_diffusion_press_conf  \\\n",
       "date                                                        \n",
       "1990-02-07                   NaN                      NaN   \n",
       "1990-03-27                   NaN                      NaN   \n",
       "1990-05-15                   NaN                      NaN   \n",
       "1990-07-03                   NaN                      NaN   \n",
       "1990-08-21                   NaN                      NaN   \n",
       "...                          ...                      ...   \n",
       "2021-11-30                   NaN                      NaN   \n",
       "2021-12-01                   NaN                      NaN   \n",
       "2021-12-02                   NaN                      NaN   \n",
       "2021-12-15              0.403571                 0.216783   \n",
       "2021-12-17                   NaN                      NaN   \n",
       "\n",
       "            t5_diffusion_speech  t5_diffusion_statement  \n",
       "date                                                     \n",
       "1990-02-07                  NaN                     NaN  \n",
       "1990-03-27                  NaN                     NaN  \n",
       "1990-05-15                  NaN                     NaN  \n",
       "1990-07-03                  NaN                     NaN  \n",
       "1990-08-21                  NaN                     NaN  \n",
       "...                         ...                     ...  \n",
       "2021-11-30             0.239583                     NaN  \n",
       "2021-12-01                  NaN                     NaN  \n",
       "2021-12-02             0.250000                     NaN  \n",
       "2021-12-15                  NaN                0.444444  \n",
       "2021-12-17             0.174603                     NaN  \n",
       "\n",
       "[1876 rows x 4 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tone_data_t5 = eKonf.load_data(\"fomc_tone_data_t5.parquet\", data_dir)\n",
    "\n",
    "cols = [\n",
    "    \"polarity_diffusion_minutes\",\n",
    "    \"polarity_diffusion_press_conf\",\n",
    "    \"polarity_diffusion_speech\",\n",
    "    \"polarity_diffusion_statement\",\n",
    "]\n",
    "\n",
    "tone_data_t5 = tone_data_t5[cols].copy()\n",
    "tone_data_t5.columns = tone_data_t5.columns.str.replace(\"polarity\", \"t5\")\n",
    "tone_data_t5\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Correlation\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:ekorpkit.base:IPython version: (6, 9, 0), client: jupyter_client\n"
     ]
    }
   ],
   "source": [
    "cfg = eKonf.compose(\"io/fetcher/fomc\")\n",
    "cfg.output_dir = data_dir\n",
    "fomc = eKonf.instantiate(cfg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>unscheduled</th>\n",
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       "      <td>Jerome Powell</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-12-15</th>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>Jerome Powell</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-26</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>Jerome Powell</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-03-16</th>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>Jerome Powell</td>\n",
       "      <td>0.50</td>\n",
       "      <td>0.25</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-05-04</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>Jerome Powell</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.50</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>415 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            unscheduled  forecast  confcall        speaker  rate  rate_change  \\\n",
       "date                                                                            \n",
       "1982-10-05        False     False     False   Paul Volcker  9.50        -0.50   \n",
       "1982-11-16        False     False     False   Paul Volcker  9.00        -0.50   \n",
       "1982-12-21        False     False     False   Paul Volcker  8.50         0.00   \n",
       "1983-01-14        False     False      True   Paul Volcker  8.50         0.00   \n",
       "1983-01-21        False     False      True   Paul Volcker  8.50         0.00   \n",
       "...                 ...       ...       ...            ...   ...          ...   \n",
       "2021-11-03        False     False     False  Jerome Powell  0.25         0.00   \n",
       "2021-12-15        False      True     False  Jerome Powell  0.25         0.00   \n",
       "2022-01-26        False     False     False  Jerome Powell  0.25         0.00   \n",
       "2022-03-16        False      True     False  Jerome Powell  0.50         0.25   \n",
       "2022-05-04        False     False     False  Jerome Powell  1.00         0.50   \n",
       "\n",
       "            rate_decision  rate_changed  \n",
       "date                                     \n",
       "1982-10-05           -1.0             1  \n",
       "1982-11-16           -1.0             1  \n",
       "1982-12-21            0.0             0  \n",
       "1983-01-14            0.0             0  \n",
       "1983-01-21            0.0             0  \n",
       "...                   ...           ...  \n",
       "2021-11-03            0.0             0  \n",
       "2021-12-15            0.0             0  \n",
       "2022-01-26            0.0             0  \n",
       "2022-03-16            1.0             1  \n",
       "2022-05-04            1.0             1  \n",
       "\n",
       "[415 rows x 8 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fomc.load_calendar(from_year=1982, force_download=False)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Merge with fed rate data\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 331,
       "width": 702
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "cfg = eKonf.compose(\"visualize/plot=lineplot\")\n",
    "cfg.plot.y = \"rate\"\n",
    "cfg.ax.title = \"Fed Rate\"\n",
    "eKonf.instantiate(cfg, data=fomc.calendar)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "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>polarity_mean_beigebook</th>\n",
       "      <th>polarity_mean_meeting_script</th>\n",
       "      <th>polarity_mean_minutes</th>\n",
       "      <th>polarity_mean_press_conf</th>\n",
       "      <th>polarity_mean_speech</th>\n",
       "      <th>polarity_mean_statement</th>\n",
       "      <th>polarity_mean_testimony</th>\n",
       "      <th>polarity_diffusion_beigebook</th>\n",
       "      <th>polarity_diffusion_meeting_script</th>\n",
       "      <th>polarity_diffusion_minutes</th>\n",
       "      <th>...</th>\n",
       "      <th>finbert_mean_speech</th>\n",
       "      <th>finbert_mean_statement</th>\n",
       "      <th>finbert_diffusion_minutes</th>\n",
       "      <th>finbert_diffusion_press_conf</th>\n",
       "      <th>finbert_diffusion_speech</th>\n",
       "      <th>finbert_diffusion_statement</th>\n",
       "      <th>t5_diffusion_minutes</th>\n",
       "      <th>t5_diffusion_press_conf</th>\n",
       "      <th>t5_diffusion_speech</th>\n",
       "      <th>t5_diffusion_statement</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1998-01-03</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.018248</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.264435</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.357664</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.094891</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1998-01-08</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.379629</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.503096</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.672840</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.277778</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1998-01-12</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.030516</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.293520</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.380282</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.260563</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1998-01-16</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.029630</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.408889</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.518519</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.382716</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1998-01-29</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.376811</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-11-30</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.167014</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.120000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.182338</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.239583</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.239583</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-12-01</th>\n",
       "      <td>-0.046022</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.048109</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-12-02</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.077381</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.262141</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.338889</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-12-15</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.043929</td>\n",
       "      <td>-0.075441</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.064286</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.412947</td>\n",
       "      <td>0.675</td>\n",
       "      <td>0.377622</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.555556</td>\n",
       "      <td>0.403571</td>\n",
       "      <td>0.216783</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.444444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-12-17</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.356613</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.408242</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.547619</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.174603</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1722 rows × 47 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            polarity_mean_beigebook  polarity_mean_meeting_script  \\\n",
       "date                                                                \n",
       "1998-01-03                      NaN                           NaN   \n",
       "1998-01-08                      NaN                           NaN   \n",
       "1998-01-12                      NaN                           NaN   \n",
       "1998-01-16                      NaN                           NaN   \n",
       "1998-01-29                      NaN                           NaN   \n",
       "...                             ...                           ...   \n",
       "2021-11-30                      NaN                           NaN   \n",
       "2021-12-01                -0.046022                           NaN   \n",
       "2021-12-02                      NaN                           NaN   \n",
       "2021-12-15                      NaN                           NaN   \n",
       "2021-12-17                      NaN                           NaN   \n",
       "\n",
       "            polarity_mean_minutes  polarity_mean_press_conf  \\\n",
       "date                                                          \n",
       "1998-01-03                    NaN                       NaN   \n",
       "1998-01-08                    NaN                       NaN   \n",
       "1998-01-12                    NaN                       NaN   \n",
       "1998-01-16                    NaN                       NaN   \n",
       "1998-01-29                    NaN                       NaN   \n",
       "...                           ...                       ...   \n",
       "2021-11-30                    NaN                       NaN   \n",
       "2021-12-01                    NaN                       NaN   \n",
       "2021-12-02                    NaN                       NaN   \n",
       "2021-12-15              -0.043929                 -0.075441   \n",
       "2021-12-17                    NaN                       NaN   \n",
       "\n",
       "            polarity_mean_speech  polarity_mean_statement  \\\n",
       "date                                                        \n",
       "1998-01-03             -0.018248                      NaN   \n",
       "1998-01-08             -0.379629                      NaN   \n",
       "1998-01-12             -0.030516                      NaN   \n",
       "1998-01-16             -0.029630                      NaN   \n",
       "1998-01-29                   NaN                      NaN   \n",
       "...                          ...                      ...   \n",
       "2021-11-30             -0.167014                      NaN   \n",
       "2021-12-01                   NaN                      NaN   \n",
       "2021-12-02             -0.077381                      NaN   \n",
       "2021-12-15                   NaN                 0.166667   \n",
       "2021-12-17             -0.356613                      NaN   \n",
       "\n",
       "            polarity_mean_testimony  polarity_diffusion_beigebook  \\\n",
       "date                                                                \n",
       "1998-01-03                      NaN                           NaN   \n",
       "1998-01-08                      NaN                           NaN   \n",
       "1998-01-12                      NaN                           NaN   \n",
       "1998-01-16                      NaN                           NaN   \n",
       "1998-01-29                -0.376811                           NaN   \n",
       "...                             ...                           ...   \n",
       "2021-11-30                -0.120000                           NaN   \n",
       "2021-12-01                      NaN                     -0.048109   \n",
       "2021-12-02                      NaN                           NaN   \n",
       "2021-12-15                      NaN                           NaN   \n",
       "2021-12-17                      NaN                           NaN   \n",
       "\n",
       "            polarity_diffusion_meeting_script  polarity_diffusion_minutes  \\\n",
       "date                                                                        \n",
       "1998-01-03                                NaN                         NaN   \n",
       "1998-01-08                                NaN                         NaN   \n",
       "1998-01-12                                NaN                         NaN   \n",
       "1998-01-16                                NaN                         NaN   \n",
       "1998-01-29                                NaN                         NaN   \n",
       "...                                       ...                         ...   \n",
       "2021-11-30                                NaN                         NaN   \n",
       "2021-12-01                                NaN                         NaN   \n",
       "2021-12-02                                NaN                         NaN   \n",
       "2021-12-15                                NaN                   -0.064286   \n",
       "2021-12-17                                NaN                         NaN   \n",
       "\n",
       "            ...  finbert_mean_speech  finbert_mean_statement  \\\n",
       "date        ...                                                \n",
       "1998-01-03  ...             0.264435                     NaN   \n",
       "1998-01-08  ...             0.503096                     NaN   \n",
       "1998-01-12  ...             0.293520                     NaN   \n",
       "1998-01-16  ...             0.408889                     NaN   \n",
       "1998-01-29  ...                  NaN                     NaN   \n",
       "...         ...                  ...                     ...   \n",
       "2021-11-30  ...             0.182338                     NaN   \n",
       "2021-12-01  ...                  NaN                     NaN   \n",
       "2021-12-02  ...             0.262141                     NaN   \n",
       "2021-12-15  ...                  NaN                0.412947   \n",
       "2021-12-17  ...             0.408242                     NaN   \n",
       "\n",
       "            finbert_diffusion_minutes  finbert_diffusion_press_conf  \\\n",
       "date                                                                  \n",
       "1998-01-03                        NaN                           NaN   \n",
       "1998-01-08                        NaN                           NaN   \n",
       "1998-01-12                        NaN                           NaN   \n",
       "1998-01-16                        NaN                           NaN   \n",
       "1998-01-29                        NaN                           NaN   \n",
       "...                               ...                           ...   \n",
       "2021-11-30                        NaN                           NaN   \n",
       "2021-12-01                        NaN                           NaN   \n",
       "2021-12-02                        NaN                           NaN   \n",
       "2021-12-15                      0.675                      0.377622   \n",
       "2021-12-17                        NaN                           NaN   \n",
       "\n",
       "            finbert_diffusion_speech  finbert_diffusion_statement  \\\n",
       "date                                                                \n",
       "1998-01-03                  0.357664                          NaN   \n",
       "1998-01-08                  0.672840                          NaN   \n",
       "1998-01-12                  0.380282                          NaN   \n",
       "1998-01-16                  0.518519                          NaN   \n",
       "1998-01-29                       NaN                          NaN   \n",
       "...                              ...                          ...   \n",
       "2021-11-30                  0.239583                          NaN   \n",
       "2021-12-01                       NaN                          NaN   \n",
       "2021-12-02                  0.338889                          NaN   \n",
       "2021-12-15                       NaN                     0.555556   \n",
       "2021-12-17                  0.547619                          NaN   \n",
       "\n",
       "            t5_diffusion_minutes  t5_diffusion_press_conf  \\\n",
       "date                                                        \n",
       "1998-01-03                   NaN                      NaN   \n",
       "1998-01-08                   NaN                      NaN   \n",
       "1998-01-12                   NaN                      NaN   \n",
       "1998-01-16                   NaN                      NaN   \n",
       "1998-01-29                   NaN                      NaN   \n",
       "...                          ...                      ...   \n",
       "2021-11-30                   NaN                      NaN   \n",
       "2021-12-01                   NaN                      NaN   \n",
       "2021-12-02                   NaN                      NaN   \n",
       "2021-12-15              0.403571                 0.216783   \n",
       "2021-12-17                   NaN                      NaN   \n",
       "\n",
       "            t5_diffusion_speech  t5_diffusion_statement  \n",
       "date                                                     \n",
       "1998-01-03             0.094891                     NaN  \n",
       "1998-01-08             0.277778                     NaN  \n",
       "1998-01-12             0.260563                     NaN  \n",
       "1998-01-16             0.382716                     NaN  \n",
       "1998-01-29                  NaN                     NaN  \n",
       "...                         ...                     ...  \n",
       "2021-11-30             0.239583                     NaN  \n",
       "2021-12-01                  NaN                     NaN  \n",
       "2021-12-02             0.250000                     NaN  \n",
       "2021-12-15                  NaN                0.444444  \n",
       "2021-12-17             0.174603                     NaN  \n",
       "\n",
       "[1722 rows x 47 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tone_data = tone_data_lm.merge(tone_data_finbert, left_index=True, right_index=True)\n",
    "tone_data = tone_data.merge(tone_data_t5, left_index=True, right_index=True)\n",
    "tone_data.index.name = \"date\"\n",
    "tone_data = tone_data[tone_data.index.year >= (start_year - 1)]\n",
    "tone_data\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "cols = [\n",
    "    \"polarity_diffusion_minutes\",\n",
    "    \"polarity_diffusion_press_conf\",\n",
    "    \"polarity_diffusion_speech\",\n",
    "    \"polarity_diffusion_statement\",\n",
    "    \"finbert_diffusion_minutes\",\n",
    "    \"finbert_diffusion_press_conf\",\n",
    "    \"finbert_diffusion_speech\",\n",
    "    \"finbert_diffusion_statement\",\n",
    "    \"t5_diffusion_minutes\",\n",
    "    \"t5_diffusion_press_conf\",\n",
    "    \"t5_diffusion_speech\",\n",
    "    \"t5_diffusion_statement\",\n",
    "]\n",
    "\n",
    "\n",
    "merged_tone_data = fomc.calendar.copy()\n",
    "\n",
    "for name in cols:\n",
    "    offset = dict(months=0, days=1)\n",
    "    data = tone_data.dropna(subset=[name])\n",
    "    merged_tone_data = fomc.add_available_latest(\n",
    "        merged_tone_data, data, name, [name], offset\n",
    "    )\n",
    "\n",
    "merged_tone_data = merged_tone_data[\n",
    "    (merged_tone_data.index.year >= (start_year - 1))\n",
    "    & (merged_tone_data.index.year < 2022)\n",
    "]\n",
    "eKonf.save_data(merged_tone_data, \"fomc_tone_data_merged.parquet\", data_dir)\n",
    "merged_tone_data\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>unscheduled</th>\n",
       "      <th>forecast</th>\n",
       "      <th>confcall</th>\n",
       "      <th>speaker</th>\n",
       "      <th>rate</th>\n",
       "      <th>rate_change</th>\n",
       "      <th>rate_decision</th>\n",
       "      <th>rate_changed</th>\n",
       "      <th>polarity_diffusion_minutes</th>\n",
       "      <th>polarity_diffusion_minutes_date</th>\n",
       "      <th>...</th>\n",
       "      <th>t5_diffusion_minutes_date</th>\n",
       "      <th>t5_diffusion_press_conf</th>\n",
       "      <th>t5_diffusion_press_conf_date</th>\n",
       "      <th>t5_diffusion_speech</th>\n",
       "      <th>t5_diffusion_speech_date</th>\n",
       "      <th>t5_diffusion_statement</th>\n",
       "      <th>t5_diffusion_statement_date</th>\n",
       "      <th>lm_tones</th>\n",
       "      <th>finbert_tones</th>\n",
       "      <th>t5_tones</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1999-02-03</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>Alan Greenspan</td>\n",
       "      <td>4.75</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>-0.096552</td>\n",
       "      <td>1998-12-22</td>\n",
       "      <td>...</td>\n",
       "      <td>1998-12-22</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>0.111111</td>\n",
       "      <td>1999-01-21</td>\n",
       "      <td>0.136364</td>\n",
       "      <td>1998-11-17</td>\n",
       "      <td>-0.243343</td>\n",
       "      <td>0.506885</td>\n",
       "      <td>0.222721</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999-03-30</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>Alan Greenspan</td>\n",
       "      <td>4.75</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>-0.072464</td>\n",
       "      <td>1999-02-03</td>\n",
       "      <td>...</td>\n",
       "      <td>1999-02-03</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>0.187050</td>\n",
       "      <td>1999-03-25</td>\n",
       "      <td>0.136364</td>\n",
       "      <td>1998-11-17</td>\n",
       "      <td>-0.241290</td>\n",
       "      <td>0.529236</td>\n",
       "      <td>0.243070</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999-05-18</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>Alan Greenspan</td>\n",
       "      <td>4.75</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>-0.050360</td>\n",
       "      <td>1999-03-30</td>\n",
       "      <td>...</td>\n",
       "      <td>1999-03-30</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>0.245509</td>\n",
       "      <td>1999-05-13</td>\n",
       "      <td>0.136364</td>\n",
       "      <td>1998-11-17</td>\n",
       "      <td>-0.112051</td>\n",
       "      <td>0.579674</td>\n",
       "      <td>0.285564</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999-06-30</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>Alan Greenspan</td>\n",
       "      <td>5.00</td>\n",
       "      <td>0.25</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.028169</td>\n",
       "      <td>1999-05-18</td>\n",
       "      <td>...</td>\n",
       "      <td>1999-05-18</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>0.097561</td>\n",
       "      <td>1999-06-22</td>\n",
       "      <td>0.625000</td>\n",
       "      <td>1999-05-18</td>\n",
       "      <td>-0.050040</td>\n",
       "      <td>0.621722</td>\n",
       "      <td>0.412215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999-08-24</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>Alan Greenspan</td>\n",
       "      <td>5.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.059524</td>\n",
       "      <td>1999-06-30</td>\n",
       "      <td>...</td>\n",
       "      <td>1999-06-30</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>0.178947</td>\n",
       "      <td>1999-07-29</td>\n",
       "      <td>0.269231</td>\n",
       "      <td>1999-06-30</td>\n",
       "      <td>-0.135226</td>\n",
       "      <td>0.548355</td>\n",
       "      <td>0.343837</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-06-16</th>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>Jerome Powell</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>-0.040741</td>\n",
       "      <td>2021-04-28</td>\n",
       "      <td>...</td>\n",
       "      <td>2021-04-28</td>\n",
       "      <td>0.142012</td>\n",
       "      <td>2021-04-28</td>\n",
       "      <td>0.330709</td>\n",
       "      <td>2021-06-03</td>\n",
       "      <td>0.384615</td>\n",
       "      <td>2021-04-28</td>\n",
       "      <td>0.086359</td>\n",
       "      <td>0.582206</td>\n",
       "      <td>0.374244</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-07-28</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>Jerome Powell</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.031142</td>\n",
       "      <td>2021-06-16</td>\n",
       "      <td>...</td>\n",
       "      <td>2021-06-16</td>\n",
       "      <td>0.194737</td>\n",
       "      <td>2021-06-16</td>\n",
       "      <td>0.228070</td>\n",
       "      <td>2021-07-11</td>\n",
       "      <td>0.615385</td>\n",
       "      <td>2021-06-16</td>\n",
       "      <td>0.167826</td>\n",
       "      <td>0.419857</td>\n",
       "      <td>0.433401</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-09-22</th>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>Jerome Powell</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>-0.069079</td>\n",
       "      <td>2021-07-28</td>\n",
       "      <td>...</td>\n",
       "      <td>2021-07-28</td>\n",
       "      <td>0.197674</td>\n",
       "      <td>2021-07-28</td>\n",
       "      <td>0.148148</td>\n",
       "      <td>2021-09-09</td>\n",
       "      <td>0.538462</td>\n",
       "      <td>2021-07-28</td>\n",
       "      <td>0.176087</td>\n",
       "      <td>0.441048</td>\n",
       "      <td>0.367028</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-11-03</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>Jerome Powell</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>-0.112403</td>\n",
       "      <td>2021-09-22</td>\n",
       "      <td>...</td>\n",
       "      <td>2021-09-22</td>\n",
       "      <td>0.143695</td>\n",
       "      <td>2021-09-22</td>\n",
       "      <td>0.085714</td>\n",
       "      <td>2021-10-22</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>2021-09-22</td>\n",
       "      <td>-0.037468</td>\n",
       "      <td>0.531340</td>\n",
       "      <td>0.350831</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-12-15</th>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>Jerome Powell</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>-0.080851</td>\n",
       "      <td>2021-11-03</td>\n",
       "      <td>...</td>\n",
       "      <td>2021-11-03</td>\n",
       "      <td>0.172619</td>\n",
       "      <td>2021-11-03</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>2021-12-02</td>\n",
       "      <td>0.705882</td>\n",
       "      <td>2021-11-03</td>\n",
       "      <td>-0.001460</td>\n",
       "      <td>0.564110</td>\n",
       "      <td>0.477493</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>219 rows × 35 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            unscheduled  forecast  confcall         speaker  rate  \\\n",
       "date                                                                \n",
       "1999-02-03        False     False     False  Alan Greenspan  4.75   \n",
       "1999-03-30        False     False     False  Alan Greenspan  4.75   \n",
       "1999-05-18        False     False     False  Alan Greenspan  4.75   \n",
       "1999-06-30        False     False     False  Alan Greenspan  5.00   \n",
       "1999-08-24        False     False     False  Alan Greenspan  5.25   \n",
       "...                 ...       ...       ...             ...   ...   \n",
       "2021-06-16        False      True     False   Jerome Powell  0.25   \n",
       "2021-07-28        False     False     False   Jerome Powell  0.25   \n",
       "2021-09-22        False      True     False   Jerome Powell  0.25   \n",
       "2021-11-03        False     False     False   Jerome Powell  0.25   \n",
       "2021-12-15        False      True     False   Jerome Powell  0.25   \n",
       "\n",
       "            rate_change  rate_decision  rate_changed  \\\n",
       "date                                                   \n",
       "1999-02-03         0.00            0.0             0   \n",
       "1999-03-30         0.00            0.0             0   \n",
       "1999-05-18         0.00            0.0             0   \n",
       "1999-06-30         0.25            1.0             1   \n",
       "1999-08-24         0.25            1.0             1   \n",
       "...                 ...            ...           ...   \n",
       "2021-06-16         0.00            0.0             0   \n",
       "2021-07-28         0.00            0.0             0   \n",
       "2021-09-22         0.00            0.0             0   \n",
       "2021-11-03         0.00            0.0             0   \n",
       "2021-12-15         0.00            0.0             0   \n",
       "\n",
       "            polarity_diffusion_minutes polarity_diffusion_minutes_date  ...  \\\n",
       "date                                                                    ...   \n",
       "1999-02-03                   -0.096552                      1998-12-22  ...   \n",
       "1999-03-30                   -0.072464                      1999-02-03  ...   \n",
       "1999-05-18                   -0.050360                      1999-03-30  ...   \n",
       "1999-06-30                   -0.028169                      1999-05-18  ...   \n",
       "1999-08-24                   -0.059524                      1999-06-30  ...   \n",
       "...                                ...                             ...  ...   \n",
       "2021-06-16                   -0.040741                      2021-04-28  ...   \n",
       "2021-07-28                    0.031142                      2021-06-16  ...   \n",
       "2021-09-22                   -0.069079                      2021-07-28  ...   \n",
       "2021-11-03                   -0.112403                      2021-09-22  ...   \n",
       "2021-12-15                   -0.080851                      2021-11-03  ...   \n",
       "\n",
       "            t5_diffusion_minutes_date t5_diffusion_press_conf  \\\n",
       "date                                                            \n",
       "1999-02-03                 1998-12-22                     NaN   \n",
       "1999-03-30                 1999-02-03                     NaN   \n",
       "1999-05-18                 1999-03-30                     NaN   \n",
       "1999-06-30                 1999-05-18                     NaN   \n",
       "1999-08-24                 1999-06-30                     NaN   \n",
       "...                               ...                     ...   \n",
       "2021-06-16                 2021-04-28                0.142012   \n",
       "2021-07-28                 2021-06-16                0.194737   \n",
       "2021-09-22                 2021-07-28                0.197674   \n",
       "2021-11-03                 2021-09-22                0.143695   \n",
       "2021-12-15                 2021-11-03                0.172619   \n",
       "\n",
       "            t5_diffusion_press_conf_date t5_diffusion_speech  \\\n",
       "date                                                           \n",
       "1999-02-03                           NaT            0.111111   \n",
       "1999-03-30                           NaT            0.187050   \n",
       "1999-05-18                           NaT            0.245509   \n",
       "1999-06-30                           NaT            0.097561   \n",
       "1999-08-24                           NaT            0.178947   \n",
       "...                                  ...                 ...   \n",
       "2021-06-16                    2021-04-28            0.330709   \n",
       "2021-07-28                    2021-06-16            0.228070   \n",
       "2021-09-22                    2021-07-28            0.148148   \n",
       "2021-11-03                    2021-09-22            0.085714   \n",
       "2021-12-15                    2021-11-03            0.250000   \n",
       "\n",
       "            t5_diffusion_speech_date t5_diffusion_statement  \\\n",
       "date                                                          \n",
       "1999-02-03                1999-01-21               0.136364   \n",
       "1999-03-30                1999-03-25               0.136364   \n",
       "1999-05-18                1999-05-13               0.136364   \n",
       "1999-06-30                1999-06-22               0.625000   \n",
       "1999-08-24                1999-07-29               0.269231   \n",
       "...                              ...                    ...   \n",
       "2021-06-16                2021-06-03               0.384615   \n",
       "2021-07-28                2021-07-11               0.615385   \n",
       "2021-09-22                2021-09-09               0.538462   \n",
       "2021-11-03                2021-10-22               0.571429   \n",
       "2021-12-15                2021-12-02               0.705882   \n",
       "\n",
       "            t5_diffusion_statement_date  lm_tones  finbert_tones  t5_tones  \n",
       "date                                                                        \n",
       "1999-02-03                   1998-11-17 -0.243343       0.506885  0.222721  \n",
       "1999-03-30                   1998-11-17 -0.241290       0.529236  0.243070  \n",
       "1999-05-18                   1998-11-17 -0.112051       0.579674  0.285564  \n",
       "1999-06-30                   1999-05-18 -0.050040       0.621722  0.412215  \n",
       "1999-08-24                   1999-06-30 -0.135226       0.548355  0.343837  \n",
       "...                                 ...       ...            ...       ...  \n",
       "2021-06-16                   2021-04-28  0.086359       0.582206  0.374244  \n",
       "2021-07-28                   2021-06-16  0.167826       0.419857  0.433401  \n",
       "2021-09-22                   2021-07-28  0.176087       0.441048  0.367028  \n",
       "2021-11-03                   2021-09-22 -0.037468       0.531340  0.350831  \n",
       "2021-12-15                   2021-11-03 -0.001460       0.564110  0.477493  \n",
       "\n",
       "[219 rows x 35 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "tone_columns = {\n",
    "    \"lm\": [\n",
    "        \"polarity_diffusion_minutes\",\n",
    "        \"polarity_diffusion_speech\",\n",
    "        \"polarity_diffusion_statement\",\n",
    "    ],\n",
    "    \"finbert\": [\n",
    "        \"finbert_diffusion_minutes\",\n",
    "        \"finbert_diffusion_speech\",\n",
    "        \"finbert_diffusion_statement\",\n",
    "    ],\n",
    "    \"t5\": [\"t5_diffusion_minutes\", \"t5_diffusion_speech\", \"t5_diffusion_statement\"],\n",
    "}\n",
    "\n",
    "tone_cols = []\n",
    "for name, cols in tone_columns.items():\n",
    "    tone_col = name + \"_tones\"\n",
    "    tone_cols.append(tone_col)\n",
    "    merged_tone_data[tone_col] = merged_tone_data[cols].mean(axis=1, skipna=True)\n",
    "\n",
    "merged_tone_data = merged_tone_data.copy()[merged_tone_data.index.year >= start_year]\n",
    "eKonf.save_data(merged_tone_data, \"fomc_tone_data_merged.parquet\", data_dir)\n",
    "merged_tone_data\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 547,
       "width": 779
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "corr_columns = sum(tone_columns.values(), []) + [\"rate\", \"rate_change\"]\n",
    "corr_data = merged_tone_data[corr_columns].astype(float).corr()\n",
    "\n",
    "cfg = eKonf.compose(\"visualize/plot=heatmap\")\n",
    "cfg.figure.figsize = (12, 8)\n",
    "cfg.heatmap.cmap = \"YlGnBu\"\n",
    "cfg.heatmap.vmin = 0\n",
    "cfg.heatmap.vmax = 1\n",
    "cfg.heatmap.fmt = \".2f\"\n",
    "cfg.ax.title = \"Correlation\"\n",
    "eKonf.instantiate(cfg, data=corr_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 576x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 403,
       "width": 514
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "corr_columns = tone_cols + [\"rate\", \"rate_change\"]\n",
    "corr_data = merged_tone_data[corr_columns].astype(float).corr()\n",
    "\n",
    "cfg = eKonf.compose(\"visualize/plot=heatmap\")\n",
    "cfg.figure.figsize = (8, 6)\n",
    "cfg.heatmap.cmap = \"YlGnBu\"\n",
    "cfg.heatmap.vmin = 0\n",
    "cfg.heatmap.vmax = 1\n",
    "cfg.heatmap.fmt = \".2f\"\n",
    "cfg.ax.title = \"Correlation\"\n",
    "eKonf.instantiate(cfg, data=corr_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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