The forecasting content of the Commodity Futures Trading Commission’s Commitments of Traders (COT) report is investigated. Bivariate Granger causality tests show very little evidence that traders’ positions are useful in forecasting (leading) returns in 10 agricultural futures...

The informational content in live cattle and hog deferred futures prices is assessed using a direct test of incremental forecast ability for two- to twelve-month horizons. For 1976-2007, the results indicate that hog futures prices add incremental information at all horizons, but unique...

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...

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....

One-step-ahead forecasts of quarterly beef, pork, and poultry production are examined and evaluated based on traditional criteria for optimality-efficiency and unbiasedness-as well as their performance versus a univariate time-series model. However, traditional regression methodology for...

This paper examines returns from holding 30- and 90-day call and put positions, and the forecasting performance of implied volatility in the live and feeder cattle options markets. Implied volatility is an upwardly biased and inefficient predictor of realized volatility, with bias most...

As agricultural options markets grow, perceptions of overpricing persist among market participants. This study tests the efficiency of corn, soybean, and wheat options by computing trading returns. Several call and put option strategies yield significant profits, but returns are influenced by...

This study uses quantile regressions to estimate historical forecast error distributions for WASDE forecasts of corn, soybean, and wheat prices, and then compute confidence limits for the forecasts based on the empirical distributions. Quantile regressions with fit errors expressed as a function...

This paper investigates whether the accuracy of outlook hog price forecasts can be improved using composite forecasts in an out-of-sample context. Price forecasts from four widely-recognized outlook programs are combined with futures-based forecasts, ARMA, and unrestricted Vector Autoregressive...

This study investigates the impact of six major USDA reports in hog and cattle markets: Cattle; Cattle on Feed; Cold Storage; Hogs and Pigs; Livestock, Dairy, and Poultry Outlook (LDPO); and World Agricultural Supply and Demand Estimates (WASDE). A TARCH-in-mean model, with dummy variables to measure...