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Why do expiring futures and cash prices diverge for grain markets?

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  • Nicole M. Aulerich
  • Raymond P. H. Fishe
  • Jeffrey H. Harris

Abstract

In recent years, cash and futures prices have failed to converge at expiration for selected corn, soybean, and wheat commodity contracts. This lack of convergence raises questions about the effectiveness of arbitrage activities, and increases concerns about the usefulness of these contracts for hedging. We describe the delivery process for these contracts, and show that it embeds a valuable real option on the long side—the option to exchange the deliverable for another futures contract. As the relative volatility of cash and futures prices increases, this option increases in value, which disconnects the cash market from the deliverable instrument in a futures contract. Our estimates of this option's value show that it may create significant price divergence. We parameterize an option pricing model using data on these three commodities from 2000 to 2008 and show that the option model fits closely to recent episodes of non‐convergence, which lends support to the importance of real option effects. © 2010 Wiley Periodicals, Inc. Jrl Fut Mark Hedging works primarily because changes in futures prices generally track with changes in cash prices. The delivery process forges the cash‐futures link. So strong is that link that the futures price equals the cash price at expiration at the futures delivery location. —Chicago Board of Trade Handbook of Futures and Options ( 2006 )

Suggested Citation

  • Nicole M. Aulerich & Raymond P. H. Fishe & Jeffrey H. Harris, 2011. "Why do expiring futures and cash prices diverge for grain markets?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 31(6), pages 503-533, June.
  • Handle: RePEc:wly:jfutmk:v:31:y:2011:i:6:p:503-533
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    Cited by:

    1. Guo, Kevin & Leung, Tim, 2017. "Understanding the non-convergence of agricultural futures via stochastic storage costs and timing options," Journal of Commodity Markets, Elsevier, vol. 6(C), pages 32-49.
    2. Anna Szczepańska-Przekota, 2022. "Causality in Relation to Futures and Cash Prices in the Wheat Market," Agriculture, MDPI, vol. 12(6), pages 1-10, June.
    3. Jebabli, Ikram & Roubaud, David, 2018. "Time-varying efficiency in food and energy markets: Evidence and implications," Economic Modelling, Elsevier, vol. 70(C), pages 97-114.
    4. Fernandes, Vitor M. & Kunda, Eugene L. & Robe, Michel A., 2022. "Corn Futures Deliveries: Why? When? So What?," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322061, Agricultural and Applied Economics Association.
    5. Michael C. Nwogugu, 2020. "Decision-Making, Sub-Additive Recursive "Matching" Noise And Biases In Risk-Weighted Stock/Bond Index Calculation Methods In Incomplete Markets With Partially Observable Multi-Attribute Pref," Papers 2005.01708, arXiv.org.
    6. Anton Bekkerman & Thomas Gumbley & Gary W. Brester, 2021. "The Impacts of Biofuel Policies on Spatial and Vertical Price Relationships in the US Fertilizer Industry," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 43(2), pages 802-822, June.
    7. Sophie van Huellen, 2018. "How financial investment distorts food prices: evidence from U.S. grain markets," Agricultural Economics, International Association of Agricultural Economists, vol. 49(2), pages 171-181, March.
    8. Irwin, Scott H., 2020. "Trilogy for troubleshooting convergence: Manipulation, structural imbalance, and storage rates," Journal of Commodity Markets, Elsevier, vol. 17(C).

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