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Summary A number of procedures for forecasting a time series from its own current and past values are surveyed. Forecasting performances of three methods—Box‐Jenkins, Holt‐Winters and stepwise autoregression—are compared over a large sample of economic time series. The possibility of combining individual forecasts in the production of an overall forecast is explored, and we present empirical results which indicate that such a procedure can frequently be profitable.