statsmodels.tsa.vector_ar.svar_model.SVARProcess.forecast_cov

SVARProcess.forecast_cov(steps)

Compute theoretical forecast error variance matrices

Parameters:

steps (int) – Number of steps ahead

Notes

\[\mathrm{MSE}(h) = \sum_{i=0}^{h-1} \Phi \Sigma_u \Phi^T\]

Returns:

forc_covs

Return type:

ndarray (steps x neqs x neqs)