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Generalized Hedge Ratio Estimation with an Unknown Model

Jeffrey Dorfman () and Dwight R. Sanders

No 19268, 2005 Annual meeting, July 24-27, Providence, RI from American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association)

Abstract: Myers and Thompson (1989) noted that the model specification could have a large impact on the hedge ratio estimated. A huge literature exists on estimating hedge ratios, but the literature is lacking a formal treatment of model specification uncertainty. This research accomplishes that task by taking a Bayesian approach to hedge ratio estimation, where specification uncertainty is explicitly modeled. The methodology is applied to data on hedging of corn and soybeans and on cross-hedging of corn oil using soybean oil futures. Results show the potential benefits and insights gained from such an approach.

Keywords: Marketing (search for similar items in EconPapers)
Pages: 34
Date: 2005
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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https://ageconsearch.umn.edu/record/19268/files/sp050001.pdf (application/pdf)

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Working Paper: GENERALIZED HEDGE RATIO ESTIMATION WITH AN UNKNOWN MODEL (2004) Downloads
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Persistent link: https://EconPapers.repec.org/RePEc:ags:aaea05:19268

DOI: 10.22004/ag.econ.19268

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