A rational expectations storage model is used to simulate monthly corn prices, which are used to evaluate marketing strategies to manage price risk. The data are generated and analyzed in two formats: for long-run outcomes over 10,000 "years" of monthly prices and for 10,000 cases of 40-year...

A rational expectations competitive storage model is applied to the U.S. corn market to assess the aptness of this framework in explaining monthly price behavior in an actual commodity market. Relative to previous models, extensive realism is added to the model in terms of how production...

The choice of deflators of commodity prices can change the time-series properties of the original series. This is a specific application of the general phenomenon that various kinds of data transformations can create spurious cycles that did not exist in the original data. Different empirical...

A rational expectations storage model is used to simulate monthly corn prices, which are used to evaluate marketing strategies to manage price risk. The data are generated and analyzed in two formats: for long-run outcomes over 10,000 "years" of monthly prices and for 10,000 cases of 40-year...

A rational expectations competitive storage model is applied to the U.S. corn market to assess the aptness of this framework in explaining monthly price behavior in an actual commodity market. Relative to previous models, extensive realism is added to the model in terms of how production...