Hostname: page-component-7b7567c8c-kwt9d Total loading time: 0 Render date: 2026-11-14T23:22:17.223Z Has data issue: false hasContentIssue false

Hedging Commodity Price Risk

Published online by Cambridge University Press:  12 December 2022

Hamed Ghoddusi
Affiliation:
California Polytechnic State University Orfalea College of Business hghoddus@calpoly.edu
Sheridan Titman*
Affiliation:
University of Texas at Austin McCombs School of Business
Stathis Tompaidis
Affiliation:
University of Texas at Austin McCombs School of Business Stathis.Tompaidis@mccombs.utexas.edu
*
Sheridan.Titman@mccombs.utexas.edu (corresponding author)
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the 'Save PDF' action button.

We present an equilibrium model of hedging for commodity processing firms. We show the optimal hedge ratio depends on the convexity of the firm’s cost function and the elasticity of the supply of the input and the demand for the output. Our calibrated model suggests that hedging tends to be ineffective. When uncertainty comes exclusively from either the supply or from the demand side, updating the hedge dynamically, and using nonlinear contracts improves hedging effectiveness. However, with both supply and demand uncertainty, hedging effectiveness can be low even with option-based and dynamic hedging strategies.

Information

Type
Research Article
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of the Michael G. Foster School of Business, University of Washington