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Abstract

A model is developed using bases, marketing weights, and a composite of monthly futures and cash prices to forecast a season-average U.S. farm price for corn. Forecast accuracy measures include the mean absolute percentage error and Theil's U-statistic. Futures forecasts are compared with a naïve forecast and WASDE projections. Futures price forecasts are timely and reliable.

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