While the combination of several or more models is often found to improve forecasts (Brandt and Bessler, Min and Zellner, Norwood and Schroeder), hypothesis tests are typically conducted using a single model approach 1 . Hypothesis tests and forecasts have similar goals; they seek to define a...

Model selection is often conducted by ranking models by their out-of-sample forecast error. Such criteria only incorporate information about the expected value, whereas models usually describe the entire probability distribution. Hence, researchers may desire a criteria evaluating the...

Recent accusations against speculators in general and long-only commodity index funds inparticular, include: increasing market volatility, distorting historical price relationships, andfueling a rapid increase and decrease in commodity inflation. Some researchers have argued thatthese market...

Recent accusations against speculators in general and long-only commodity index funds in particular, include: increasing market volatility, distorting historical price relationships, and fueling a rapid increase and decrease in commodity inflation. Some researchers have argued that these market...

USDA and Cooperative Extension Service forecasts of hog prices are directly tested for incremental value vis-à-vis futures-based forecasts in a forecast encompassing framework. At horizons less than six months, the lean hog futures-based forecast is found to be more accurate than both the USDA...

An empirical methodology is developed for statistically testing the hedging effectiveness among competing futures contracts. The presented methodology is based on the encompassing principle, widely used in the forecasting literature, and applied here to minimum variance hedging regressions....

The estimation of allocative and technical inefficiency has grown to an enormous body of literature, both theoretical and empirical. Ideally, one would estimate time-varying firm and input-specific parameters describing allocative inefficiency in order to minimize aggregation bias. However, this...

Econometric models to estimate allocative and technical inefficiency include stochastic shadow distance frontiers, shadow cost frontiers, and shadow profit frontiers. In these models, the cost savings from eliminating both sources of inefficiency is often reported in total and then decomposed...

We study the difference in the volatility dynamics of CBOT corn, soybeans, and oatsfutures prices across different delivery horizons via the smoothed Bayesian estimatorof Karali, Dorfman, and Thurman (2010). We show that the futures price volatilitiesin these markets are affected by the...

Econometric models to estimate allocative and technical inefficiency include stochastic shadow distance frontiers, shadow cost frontiers, and shadow profit frontiers. In these models, the cost savings from eliminating both sources of inefficiency is often reported in total and then decomposed...