arch.unitroot.cointegration.CointegrationAnalysisResults¶
- class arch.unitroot.cointegration.CointegrationAnalysisResults(params: Series, cov: DataFrame, resid: Series, omega_112: float, kernel_est: CovarianceEstimator, num_x: int, trend: 'n' | 'c' | 'ct' | 'ctt', df_adjust: bool, rsquared: float, rsquared_adj: float, estimator_type: str)[source]¶
Estimation results for cointegrating vector estimators.
Returned by the
fitmethod of FullyModifiedOLS and CanonicalCointegratingReg.- Parameters:¶
- params: Series¶
The estimated model parameters.
- cov: DataFrame¶
The estimated parameter covariance.
- resid: Series¶
The model residuals.
- omega_112: float¶
The long-run variance estimate used in the parameter covariance estimator.
- kernel_est: CovarianceEstimator¶
The covariance estimator instance used to estimate the long-run variance of the residuals.
- num_x: int¶
The number of right-hand-side variables in the cointegrating regression.
- trend: 'n' | 'c' | 'ct' | 'ctt'¶
The trend included in the cointegrating regression.
- df_adjust: bool¶
Whether the parameter covariance was adjusted for degrees of freedom.
- rsquared: float¶
The model R-squared.
- rsquared_adj: float¶
The degree-of-freedom adjusted R-squared.
- estimator_type: str¶
The name of the estimator, which is used in the summary.
Methods
summary()Summary of the model, containing estimated parameters and std.
Properties
The bandwidth used in the parameter covariance estimation.
The estimated parameter covariance of the cointegrating vector.
The kernel used to estimate the covariance.
Long-run variance estimate used in the parameter covariance estimator.
The estimated parameters of the cointegrating vector.
P-values of the parameters in the cointegrating vector.
The model residuals.
The variance of the regression residual.
The model R².
The degree-of-freedom adjusted R².
Standard errors of the parameters in the cointegrating vector.
T-statistics of the parameters in the cointegrating vector.