Confidence intervals for non-stationary forecast errors

This paper investigates the effectiveness of generating confidence intervals from an adaptive estimate of the variance of forecast errors. The investigation is performed on the sample of 1001 series first analyzed by Makridakis et al. It is shown that the accuracy of the intervals is improved and that the type of series and the forecasting model used are among the factors explaining the accuracy of forecast intervals.