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 fit method 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

bandwidth

The bandwidth used in the parameter covariance estimation.

cov

The estimated parameter covariance of the cointegrating vector.

kernel

The kernel used to estimate the covariance.

long_run_variance

Long-run variance estimate used in the parameter covariance estimator.

params

The estimated parameters of the cointegrating vector.

pvalues

P-values of the parameters in the cointegrating vector.

resid

The model residuals.

residual_variance

The variance of the regression residual.

rsquared

The model R².

rsquared_adj

The degree-of-freedom adjusted R².

std_errors

Standard errors of the parameters in the cointegrating vector.

tvalues

T-statistics of the parameters in the cointegrating vector.