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...

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)...