We study the properties of the multi-period-ahead least-squares
forecast for the stationary AR(1) model under a general error
distribution. We find that the forecast is unbiased up to
O(T−1), where T is the
in-sample size, regardless of the error distribution and that the mean
squared forecast error, up to
O(T−3/2), is robust against
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