We apply a new Bayesian approach to multiple‐contract futures data. It allows the volatility of futures prices to depend upon physical inventories and the contract's time to delivery—and it allows those parametric effects to vary over time. We investigate price movements for lumber contracts...

We study the difference in the volatility dynamics of CBOT corn, soybeans, and oats futures prices across different delivery horizons via a smoothed Bayesian estimator. We find that futures price volatilities in these markets are affected by inventories, time to delivery, and the crop progress...

We study the difference in the volatility dynamics of CBOT corn, soybeans, and oats futures prices across different delivery horizons via the smoothed Bayesian estimator of Karali, Dorfman, and Thurman (2010). We show that the futures price volatilities in these markets are affected by the...

We study the difference in the volatility dynamics of CBOT corn, soybeans, and oatsfutures prices across different delivery horizons via the smoothed Bayesian estimatorof Karali, Dorfman, and Thurman (2010). We show that the futures price volatilitiesin these markets are affected by the...

Replaced with revised version of paper 07/15/08.

We apply a new Bayesian approach to multiple-contract futures data. It allows the volatility of futures prices to depend upon physical inventories and the contract's time to delivery - and it allows those parametric effects to vary over time. We find a time-varying negative relationship between...

We study the difference in the volatility dynamics of CBOT corn, soybeans, and oats futures prices across different delivery horizons via a smoothed Bayesian estimator. We find that futures price volatilities in these markets are affected by inventories, time to delivery, and the crop progress...