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Do volatility determinants vary across futures contracts? Insights from a smoothed Bayesian estimator

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  • Berna Karali
  • Jeffrey H. Dorfman
  • Walter N. Thurman

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 investigate price movements for lumber contracts over a 13‐year period and 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 when the inventory levels are larger. In contrast, the Bayesian approach does not lead to substantively different conclusions about the time‐to‐delivery effect than do traditional classical methods. © 2009 Wiley Periodicals, Inc. Jrl Fut Mark 30:257–277, 2010

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  • Berna Karali & Jeffrey H. Dorfman & Walter N. Thurman, 2010. "Do volatility determinants vary across futures contracts? Insights from a smoothed Bayesian estimator," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 30(3), pages 257-277, March.
    • Handle: RePEc:wly:jfutmk:v:30:y:2010:i:3:p:257-277
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    1. Aaron Smith, 2005. "Partially overlapping time series: a new model for volatility dynamics in commodity futures," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(3), pages 405-422.
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    1. Berna Karali & Jeffrey H. Dorfman & Walter N. Thurman, 2010. "Delivery horizon and grain market volatility," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 30(9), pages 846-873, September.
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