The lack of consistently acceptable convergence performance for Chicago Board of Trade (CBOT) corn, soybean, and wheat contracts since late 2005 has been widely discussed (e.g., Henriques, 2008).1 Convergence performance is summarized in Figure 1, depicting delivery location basis levels on the...

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...

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...

Corn prices experienced enormous volatility over the last decade. In this paper, we apply a structural vector autoregression model to quantify the relative importance of various contributing factors in driving corn price movements. The identification of the structural parameters is achieved...

We investigate storage in the presence of backwardation and the existence of the Working curve for CBOT corn, soybeans, and wheat markets and the KCBOT wheat market using recent data, 1990-2010. Incorporating Telser’s concept of the cost of carry, we employ two measures of the spread—the...

This analysis examines a simultaneous estimation option-based approach to forecast futures prices in the presence of daily price limit moves. The procedure explicitly allows for changing implied volatilities by estimating the implied futures price and the implied volatility simultaneously. Using...

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 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...