statsmodels.tsa.vector_ar.var_model.VARProcess.mse¶

VARProcess.mse(steps)[source]¶

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)