ssfortran.ForecastResults#

class ssfortran.ForecastResults(predicted_mean, var_pred_mean)#

Forecasts past the end of the sample (DK §4.11).

Attributes:
predicted_meanndarray, shape (steps,) or (steps, p)

\(E(y_{n+j} | Y_n)\); one column per series.

var_pred_meanndarray, shape (steps, p, p)

\(Var(y_{n+j} | Y_n)\).

conf_int(alpha=0.05)#

Compute pointwise normal confidence intervals.

Parameters:
alphafloat, optional

One minus the coverage.

Returns:
lower, upperndarray

Bounds, shaped as predicted_mean.

property se_mean#

Standard errors of the forecasts, shaped as predicted_mean.