One-step-ahead forecasts of quarterly live cattle, live hog, and broiler prices are evaluated under two general approaches: accuracy-based measures and classification based measures which test the ability to categorize price movements directionally or within a forecasted range. Results suggest...

United States Department of Agriculture (USDA) livestock production forecasts are evaluated for their information content across multiple forecast horizons using the direct test developed by Vuchelen and Gutierrez (2005). Forecasts are explicitly tested for rationality (unbiased and efficient)...

The successful introduction of futures contracts to industries unfamiliar with futures markets is likely to become increasingly important as futures exchanges move to alternative governance structures (e.g., for-profit corporations), trading platforms evolve (i.e., electronic|Internet trading),...

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...

The marginal forecast information contained in deferred futures prices is evaluated using the direct test of Vuchelen and Gutierrez. In particular, the informational role of deferred futures contracts in live cattle and hogs is assessed from the two- to twelve-month horizons. The results...

The United States Department of Energy's (DOE) quarterly price forecasts for energy commodities are examined to determine the incremental information provided at the one-through four-quarter forecast horizons. A direct test for determining information content at alternative forecast horizons,...

One-step-ahead forecasts of quarterly crude oil, natural gas, electricity, and coal supplies are evaluated under two general approaches: accuracy-based measures and classification- or directional-based measures. Results suggest the U.S. Department of Energy (DOE) supply forecasts for U.S....

This article presents a general method for pricing weather derivatives. Specification tests find that a temperature series for Fresno, CA follows a mean-reverting Brownian motion process with discrete jumps and autoregressive conditional heteroscedastic errors. Based on this process, we define...

The traditional necessary condition for futures market inefficiency is the existence of alternative forecasting methods that produce mean squared forecast errors smaller than the futures market. Here, a more exacting requirement for futures market efficiency is proposed—forecast encompassing....