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Optimizing Risk and Return for Commodity Producers Using Modern Portfolio Theory

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  • Elliott, Matthew

Abstract

This paper demonstrates the application of Modern Portfolio Theory (MPT) to commodity risk management, contrasting it with traditional technical indicator-based hedging strategies. While MPT approaches have been extensively utilized in the investment management industry for decades to optimize institutional portfolios and mutual funds, these sophisticated methods have not been widely applied by practitioners for optimizing hedges to commodity production. Using actual market data from 2018-2025, we analyze the performance of four distinct strategies: physical position holding, maximum Sharpe ratio optimization, minimum variance optimization, and technical Bollinger Band breakout signals for optimal risk management in commodity production. Our empirical analysis of a representative agricultural producer portfolio ($1.1M in corn and soybeans) reveals that the minimum variance strategy delivers superior risk-adjusted returns with a Sharpe ratio of 0.519, compared to technical strategies averaging -0.094. The study provides quantitative evidence that MPT-based approaches can significantly enhance commodity producers' risk management while reducing portfolio volatility by up to 47%.

Suggested Citation

  • Elliott, Matthew, 2026. "Optimizing Risk and Return for Commodity Producers Using Modern Portfolio Theory," 2026 Annual Meeting, July 26 - 28, 2026, Kansas City, Missouri 404326, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea26:404326
    DOI: 10.22004/ag.econ.404326
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    File URL: https://ageconsearch.umn.edu/record/404326/files/177452_194960_115232_Commodity_Risk_Management_Paper_Final_3_1.pdf
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    References listed on IDEAS

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    1. Ledoit, Olivier & Wolf, Michael, 2003. "Improved estimation of the covariance matrix of stock returns with an application to portfolio selection," Journal of Empirical Finance, Elsevier, vol. 10(5), pages 603-621, December.
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