Hedging Commodity Price Risk

B-Tier
Journal: Journal of Financial and Quantitative Analysis
Year: 2023
Volume: 58
Issue: 3
Pages: 1202-1229

Authors (3)

Ghoddusi, Hamed (not in RePEc) Titman, Sheridan (not in RePEc) Tompaidis, Stathis (University of Texas-Austin)

Score contribution per author:

0.670 = (α=2.01 / 3 authors) × 1.0x B-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

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.

Technical Details

RePEc Handle
repec:cup:jfinqa:v:58:y:2023:i:3:p:1202-1229_9
Journal Field
Finance
Author Count
3
Added to Database
2026-01-29