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\begin{center} | ||
\begin{tabular}{lclc} | ||
\toprule | ||
\textbf{Dep. Variable:} & cleaned & \textbf{ No. Observations: } & 3653 \\ | ||
\textbf{Model:} & ARIMA(1, 0, 1) & \textbf{ Log Likelihood } & -2738.148 \\ | ||
\textbf{Date:} & Sun, 07 Aug 2022 & \textbf{ AIC } & 5484.296 \\ | ||
\textbf{Time:} & 12:57:23 & \textbf{ BIC } & 5509.109 \\ | ||
\textbf{Sample:} & 01-01-2011 & \textbf{ HQIC } & 5493.132 \\ | ||
\textbf{} & - 12-31-2020 & \textbf{ } & \\ | ||
\bottomrule | ||
\end{tabular} | ||
\begin{tabular}{lcccccc} | ||
& \textbf{coef} & \textbf{std err} & \textbf{z} & \textbf{P$> |$z$|$} & \textbf{[0.025} & \textbf{0.975]} \\ | ||
\midrule | ||
\textbf{const} & 0.0593 & 0.025 & 2.338 & 0.019 & 0.010 & 0.109 \\ | ||
\textbf{ar.L1} & 0.6961 & 0.018 & 38.043 & 0.000 & 0.660 & 0.732 \\ | ||
\textbf{ma.L1} & -0.1208 & 0.024 & -5.031 & 0.000 & -0.168 & -0.074 \\ | ||
\textbf{sigma2} & 0.2621 & 0.006 & 43.612 & 0.000 & 0.250 & 0.274 \\ | ||
\bottomrule | ||
\end{tabular} | ||
\begin{tabular}{lclc} | ||
\textbf{Ljung-Box (L1) (Q):} & 0.14 & \textbf{ Jarque-Bera (JB): } & 95.96 \\ | ||
\textbf{Prob(Q):} & 0.71 & \textbf{ Prob(JB): } & 0.00 \\ | ||
\textbf{Heteroskedasticity (H):} & 1.20 & \textbf{ Skew: } & -0.37 \\ | ||
\textbf{Prob(H) (two-sided):} & 0.00 & \textbf{ Kurtosis: } & 3.30 \\ | ||
\bottomrule | ||
\end{tabular} | ||
%\caption{SARIMAX Results} | ||
\end{center} | ||
|
||
Warnings: \newline | ||
[1] Covariance matrix calculated using the outer product of gradients (complex-step). |
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\begin{center} | ||
\begin{tabular}{lclc} | ||
\toprule | ||
\textbf{Dep. Variable:} & y & \textbf{ R-squared: } & 0.724 \\ | ||
\textbf{Model:} & OLS & \textbf{ Adj. R-squared: } & 0.724 \\ | ||
\textbf{Method:} & Least Squares & \textbf{ F-statistic: } & 5272. \\ | ||
\textbf{Date:} & Sun, 07 Aug 2022 & \textbf{ Prob (F-statistic):} & 0.00 \\ | ||
\textbf{Time:} & 12:57:19 & \textbf{ Log-Likelihood: } & -4394.5 \\ | ||
\textbf{No. Observations:} & 4018 & \textbf{ AIC: } & 8795. \\ | ||
\textbf{Df Residuals:} & 4015 & \textbf{ BIC: } & 8814. \\ | ||
\textbf{Df Model:} & 2 & \textbf{ } & \\ | ||
\bottomrule | ||
\end{tabular} | ||
\begin{tabular}{lcccccc} | ||
& \textbf{coef} & \textbf{std err} & \textbf{t} & \textbf{P$> |$t$|$} & \textbf{[0.025} & \textbf{0.975]} \\ | ||
\midrule | ||
\textbf{beta0} & -2.0841 & 0.023 & -91.413 & 0.000 & -2.129 & -2.039 \\ | ||
\textbf{beta1} & 0.0005 & 9.83e-06 & 46.923 & 0.000 & 0.000 & 0.000 \\ | ||
\textbf{beta2} & -0.2282 & 0.002 & -92.181 & 0.000 & -0.233 & -0.223 \\ | ||
\bottomrule | ||
\end{tabular} | ||
\begin{tabular}{lclc} | ||
\textbf{Omnibus:} & 507.081 & \textbf{ Durbin-Watson: } & 0.620 \\ | ||
\textbf{Prob(Omnibus):} & 0.000 & \textbf{ Jarque-Bera (JB): } & 1086.897 \\ | ||
\textbf{Skew:} & -0.766 & \textbf{ Prob(JB): } & 9.62e-237 \\ | ||
\textbf{Kurtosis:} & 5.036 & \textbf{ Cond. No. } & 4.64e+03 \\ | ||
\bottomrule | ||
\end{tabular} | ||
%\caption{OLS Regression Results} | ||
\end{center} | ||
|
||
Notes: \newline | ||
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified. \newline | ||
[2] The condition number is large, 4.64e+03. This might indicate that there are \newline | ||
strong multicollinearity or other numerical problems. |