7. SARIMAX.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Time-Series Analysis with SARIMAX"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "from datetime import datetime\n",
    "df = pd.read_pickle('./IntermediatePickles/model_df.pkl')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Define Cutoff\n",
    "This is the point we will make predictions to test the accuracy of the model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "cutoff = datetime.strptime('2014-03-01','%Y-%m-%d')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here we will save the final GDP to use for summing our predicted (differenced) values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "52642.28888888889"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_GDP = df.GDP_interp.loc[df.chart_date==cutoff].values[0]\n",
    "final_GDP"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Make data stationary by differencing it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "df['GDP_interp'] = df.GDP_interp.diff()\n",
    "df['sentiment'] = df.sentiment.diff()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Shift sentiment by 19 months (result from LASSO regression)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['sentiment_L' + str(19)] = df.sentiment.shift(19,fill_value=0)\n",
    "df.dropna(inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create train and test sets using the cutoff we defined earlier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "test_df = df.loc[df.chart_date > cutoff]\n",
    "train_df = df.loc[df.chart_date <= cutoff]\n",
    "X_train = train_df.sentiment_L19\n",
    "X_test = test_df.sentiment_L19\n",
    "y_train = pd.DataFrame(train_df.GDP_interp)\n",
    "y_test = pd.DataFrame(test_df.GDP_interp)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Define parameters for SARIMAX model (we specifically define which lags we want to use - only focusing on lags that are multiples of three months since the original data is quarterly.)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "lags = 36 # number of lags for endogenous variable\n",
    "order = ([3],1,[3])\n",
    "seasonal = True\n",
    "period = 4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\kapta\\anaconda3\\lib\\site-packages\\statsmodels\\tsa\\base\\tsa_model.py:471: ValueWarning: A date index has been provided, but it has no associated frequency information and so will be ignored when e.g. forecasting.\n",
      "  self._init_dates(dates, freq)\n",
      "c:\\Users\\kapta\\anaconda3\\lib\\site-packages\\statsmodels\\tsa\\base\\tsa_model.py:471: ValueWarning: A date index has been provided, but it has no associated frequency information and so will be ignored when e.g. forecasting.\n",
      "  self._init_dates(dates, freq)\n"
     ]
    }
   ],
   "source": [
    "model = SARIMAX(\n",
    "        endog = y_train,\n",
    "        lags=lags,\n",
    "        exog=X_train,\n",
    "        order=order,\n",
    "        seasonal=seasonal,\n",
    "        period=period)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "model_fit = model.fit(maxiter=200)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "sentiment_L19      48.673561\n",
       "ar.L3               0.227585\n",
       "ma.L3              -0.827323\n",
       "sigma2           2749.318074\n",
       "dtype: float64"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model_fit.params"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "exog = X_test"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create a dataframe with our predicted mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>predicted_mean</th>\n",
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      "text/plain": [
       "     predicted_mean\n",
       "0          0.000000\n",
       "1        104.347826\n",
       "2         87.271739\n",
       "3         84.309789\n",
       "4         93.627702\n",
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       "663       -6.915275\n",
       "664      195.867750\n",
       "\n",
       "[665 rows x 1 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.DataFrame(model_fit.forecasts[0],columns=['predicted_mean'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\kapta\\anaconda3\\lib\\site-packages\\statsmodels\\tsa\\base\\tsa_model.py:834: ValueWarning: No supported index is available. Prediction results will be given with an integer index beginning at `start`.\n",
      "  return get_prediction_index(\n"
     ]
    }
   ],
   "source": [
    "predict = model_fit.get_prediction(start = 0 ,end=len(df)-1,exog = X_test)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "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>sentiment</th>\n",
       "      <th>GDP_interp</th>\n",
       "      <th>chart_date</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1958-09-01</th>\n",
       "      <td>0.169755</td>\n",
       "      <td>17381.652174</td>\n",
       "      <td>1958-09-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1958-10-01</th>\n",
       "      <td>0.196548</td>\n",
       "      <td>17486.000000</td>\n",
       "      <td>1958-10-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1958-11-01</th>\n",
       "      <td>0.204485</td>\n",
       "      <td>17573.271739</td>\n",
       "      <td>1958-11-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1958-12-01</th>\n",
       "      <td>0.177540</td>\n",
       "      <td>17657.728261</td>\n",
       "      <td>1958-12-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1959-01-01</th>\n",
       "      <td>0.186635</td>\n",
       "      <td>17745.000000</td>\n",
       "      <td>1959-01-01</td>\n",
       "    </tr>\n",
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       "      <th>2022-07-01</th>\n",
       "      <td>0.125863</td>\n",
       "      <td>60082.000000</td>\n",
       "      <td>2022-07-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-08-01</th>\n",
       "      <td>0.045380</td>\n",
       "      <td>60082.000000</td>\n",
       "      <td>2022-08-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-09-01</th>\n",
       "      <td>0.012304</td>\n",
       "      <td>60082.000000</td>\n",
       "      <td>2022-09-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-10-01</th>\n",
       "      <td>-0.001674</td>\n",
       "      <td>60082.000000</td>\n",
       "      <td>2022-10-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-11-01</th>\n",
       "      <td>0.030167</td>\n",
       "      <td>60082.000000</td>\n",
       "      <td>2022-11-01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>771 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            sentiment    GDP_interp chart_date\n",
       "date                                          \n",
       "1958-09-01   0.169755  17381.652174 1958-09-01\n",
       "1958-10-01   0.196548  17486.000000 1958-10-01\n",
       "1958-11-01   0.204485  17573.271739 1958-11-01\n",
       "1958-12-01   0.177540  17657.728261 1958-12-01\n",
       "1959-01-01   0.186635  17745.000000 1959-01-01\n",
       "...               ...           ...        ...\n",
       "2022-07-01   0.125863  60082.000000 2022-07-01\n",
       "2022-08-01   0.045380  60082.000000 2022-08-01\n",
       "2022-09-01   0.012304  60082.000000 2022-09-01\n",
       "2022-10-01  -0.001674  60082.000000 2022-10-01\n",
       "2022-11-01   0.030167  60082.000000 2022-11-01\n",
       "\n",
       "[771 rows x 3 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "og_df = pd.read_pickle('./IntermediatePickles/model_df.pkl')\n",
    "og_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Join the tables together"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "res_df = pd.concat([pd.DataFrame(X_train),pd.DataFrame(X_test)])\n",
    "res_df['predict_GDP'] = predict.predicted_mean.values\n",
    "confidence = predict.conf_int()\n",
    "confidence.set_index(res_df.index,inplace=True)\n",
    "res_df = pd.concat([res_df,confidence],axis=1)\n",
    "act_df = og_df\n",
    "res_df = pd.concat([res_df,act_df],axis=1)\n",
    "#res_df['GDP_interp'] = res_df.GDP_interp.shift(1)\n",
    "#res_df.drop(index=\"1958-10-01\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "shift sentiment so we can see it in our graphs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "res_df['sentiment_L19'] = res_df.sentiment.shift(19)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "# res_df['predict_GDP'] = res_df.predict_GDP.shift(-1)\n",
    "# res_df['lower GDP_interp'] = res_df['lower GDP_interp'].shift(-1)\n",
    "# res_df['upper GDP_interp'] = res_df['upper GDP_interp'].shift(-1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Perform the cumulative sum of the results to get GDP predictions (predictions were differenced)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "res_df['predict_GDP'] = res_df['predict_GDP'].cumsum() + 17381.652174"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create columns for the confidence intervals"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "res_df['lower GDP_interp'] = res_df['lower GDP_interp']+res_df['predict_GDP']\n",
    "res_df['upper GDP_interp'] = res_df['upper GDP_interp']+res_df['predict_GDP']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "res_df.rename(columns={\"lower GDP_interp\": \"continuous_low_GDP\", \"upper GDP_interp\": \"continuous_high_GDP\"},inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\kapta\\anaconda3\\lib\\site-packages\\statsmodels\\tsa\\base\\tsa_model.py:834: ValueWarning: No supported index is available. Prediction results will be given with an integer index beginning at `start`.\n",
      "  return get_prediction_index(\n"
     ]
    }
   ],
   "source": [
    "forecast = model_fit.get_forecast(len(X_test),exog = X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "confidince = forecast.conf_int().reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "cast_df = pd.DataFrame(X_test)\n",
    "cast_df = pd.concat([X_test.reset_index(),confidince],axis=1).set_index('date').drop(['sentiment_L19'],axis=1)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "cast_df = pd.concat([cast_df,res_df],axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "cast_df['lower GDP_interp'] = cast_df['lower GDP_interp'].cumsum()+52768.652524\n",
    "cast_df['upper GDP_interp'] = cast_df['upper GDP_interp'].cumsum()+52768.652524"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create graph comparing lagged sentiment, GDP and predicted GDP"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x1533f88cc40>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2304x1080 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_context('talk')\n",
    "fig, ax1 = plt.subplots(1, 1, sharex=True,sharey=False, figsize=(32, 15))\n",
    "ax2 = ax1.twinx()\n",
    "ax1.fill_between(cast_df['continuous_low_GDP'],cast_df['continuous_high_GDP'])\n",
    "drop_columns = ['sentiment_L19','sentiment','chart_date','continuous_low_GDP','continuous_high_GDP']\n",
    "cast_df.drop(drop_columns,axis=1).plot(ax=ax1,legend=True).legend(loc='lower left')\n",
    "pd.DataFrame(res_df.sentiment).shift(19).rolling(window=36,center=True).mean().plot(ax=ax2,use_index=True,legend=True,color='gray').legend(loc='lower center')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "y_pred_train =  predict.predicted_mean.values[:len(X_train)]\n",
    "y_pred_test = predict.predicted_mean.values[len(X_train):]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Conclusion\n",
    "\n",
    "The results from the paper could not be reproduced. The prediction is not appreciably more complex or better than a best-fit line and the predictions don't seem to reflect any of the information from the lagged sentiment term."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.9.12 ('base')",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.12"
  },
  "orig_nbformat": 4,
  "vscode": {
   "interpreter": {
    "hash": "3f0653bd30555679cc60e5853b2204587bc8607f0666d413a468e937b04317b4"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}