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)...

This study investigates the reaction of the frozen pork bellies futures market to the release of inventory information. Knight-Ridder releases their analysts' forecasts of the USDA estimate two days prior to the estimate provided by the USDA. A rational expectations model is developed to study...

Recent research has provided mixed results regarding the presence of a time-varying risk premium in agricultural futures markets. In this paper we test for the presence of a time-varying risk premium and market efficiency focusing on the properties of the underlying data. Specifically, we...

In this paper we study futures market depth by examining the price path due to order imbalances thereby allowing us to directly gain insight in the execution costs due to a lack of market depth We propose a two dimensional market depth measure in which the price path due to order imbalances is...

Options with different maturities can be used to generate volatility estimates for non-overlapping future time intervals. This paper develops the term structure of volatility implied by corn futures options, and evaluates the informational content of the implied forward volatility as a predictor...