The pig-cycle 'explanation' expunded by Coase and Fowler followed a well-integrated economic logic and provides tremendous insight into our understanding of commodity cycles. The paper presents a simulation model that replicates all of Coase and Fowler's results and tests its robustness with an...

This paper investigates the dynamics of sequential decision-making in agricultural futures and options markets using a quantile regression framework. Analysis of trading records of 12 traders suggests that there is great heterogeneity in individual trading behavior. Traders respond differently...

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 wellrecognized outlook programs are combined with futures-based forecasts, ARIMA, and unrestricted Vector Autoregressive...

The paper examines empirical returns from holding thirty- and ninety-day call and put positions, and the forecasting performance of implied volatility in the live and feeder cattle options markets. In both markets, implied volatility is an upwardly biased and inefficient predictor of realized...

We examine the role that habit plays when producers determine their hedge ratio. Data were collected from U.S. cotton growers in which they indicated their hedging position in 2001 and 2002 as well as their perceived profitability, land ownership structure, and income. To account for...

This paper investigates the dynamics of sequential decision-making in agricultural futures andoptions markets using a quantile regression framework. Analysis of trading records of 12 traderssuggests that there is great heterogeneity in individual trading behavior. Traders responddifferently to...

The paper examines empirical returns from holding thirty- and ninety-day call and put positions,and the forecasting performance of implied volatility in the live and feeder cattle optionsmarkets. In both markets, implied volatility is an upwardly biased and inefficient predictor ofrealized...

This paper investigates whether the accuracy of outlook hog price forecasts can be improvedusing composite forecasts in an out-of-sample context. Price forecasts from four wellrecognizedoutlook programs are combined with futures-based forecasts, ARIMA, andunrestricted Vector Autoregressive (VAR)...

A Monte Carlo investigation is used to examine the performance of two commonly used tests for Granger causality for univariate and bivariate nonstationary ARMA (p,q) processes. Tests are applied to raw data, first differences of the raw data, and detrended versions of the series. The results...

We combine theory with numerical integration methods to show that for any form of uncompensated supply, compensating variation of a change in higher moments of an output price distribution can be numerically derived.