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Do Volatility Determinants Vary across Futures Contracts? Insights from a Smoothed Bayesian Estimator


Berna Karali


University of Georgia

Jeffrey H. Dorfman


University of Georgia

Walter N. Thurman


North Carolina State University; PERC - Property and Environment Research Center

March 1, 2009

Journal of Futures Markets, Vol. 30, No. 3, pp. 257-277

Abstract:     
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 lumber inventories and lumber futures price volatility. The Bayesian approach leads to different conclusions regarding the size of the inventory effect than does the standard method of parametric restrictions across contracts. The inventory effect is smaller for the most recent contracts, possibly due to increasing inventories over time. In contrast, the Bayesian approach does not lead to substantively different conclusions about the time-to-delivery effect than do traditional frequentist methods.

Keywords: Bayesian econometrics, futures markets, lumber, theory of storage, volatility

Accepted Paper Series


Date posted: October 6, 2008 ; Last revised: April 12, 2012

Suggested Citation

Karali, Berna, Dorfman, Jeffrey H. and Thurman, Walter N., Do Volatility Determinants Vary across Futures Contracts? Insights from a Smoothed Bayesian Estimator (March 1, 2009). Journal of Futures Markets, Vol. 30, No. 3, pp. 257-277. Available at SSRN: http://ssrn.com/abstract=1277436

Contact Information

Berna Karali (Contact Author)
University of Georgia ( email )
Athens, GA 30602
United States
Jeffrey H. Dorfman
University of Georgia ( email )
Athens, GA 30602-6254
United States
Walter N. Thurman
North Carolina State University ( email )
Raleigh, NC 27695
United States
PERC - Property and Environment Research Center
2048 Analysis Drive
Suite A
Bozeman, MT 59718
United States

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