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Market Inversion In Commodity Futures Prices

Author

Listed:
  • Yoon, Byung-Sam
  • Brorsen, B. Wade

Abstract

As opposed to a normal market, an inverted market has a negative price of storage or spread. Market inversions in nearby spreads rarely occur during early months of the crop year since stocks are usually abundant after harvest. However, market inversions frequently occur when the spreads are observed across crop years near the end of the crop year. The regressions of spreads on the logarithm of U.S. quarterly stocks show that there exists a positive relationship between the spread and the level of stocks, and further implies that when stocks are scarce, markets will be inverted. Simulations are conducted to determine whether a market inversion is a signal to sell the stocks. The results of the paired-difference tests reveal that as the crop cycle advances towards the end of the crop year, market inversions clearly reflect the market's signal to release stocks in anticipation of new crop supplies. The regressions of actual returns to storage on predicted returns to storage clearly show that a market inversion is a signal to sell. The results support the behavioral finance hypothesis that producers are choosing to hold excess stocks because of some type of biased expectations.

Suggested Citation

  • Yoon, Byung-Sam & Brorsen, B. Wade, 2001. "Market Inversion In Commodity Futures Prices," 2001 Conference, April 23-24, 2001, St. Louis, Missouri 18962, NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    • Handle: RePEc:ags:ncrone:18962
    DOI: 10.22004/ag.econ.18962
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    2. Bielen, David A. & Newell, Richard G. & Pizer, William A., 2018. "Who did the ethanol tax credit benefit? An event analysis of subsidy incidence," Journal of Public Economics, Elsevier, vol. 161(C), pages 1-14.
    3. Siaplay, Mounir & Anderson, Kim B. & Brorsen, B. Wade, 2007. "Using Basis and Futures Prices as a Barometer in Deciding Whether to Store Grain or Not," 2007 Conference, April 16-17, 2007, Chicago, Illinois 37575, NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    4. Yali Chang & Jianwu Lin & Chengying He, 2020. "Blockchain-based Options for Physical Settlement of Commodity Futures," World Scientific Book Chapters, in: George Xianzhi Yuan (ed.), The CME Vulnerability The Impact of Negative Oil Futures Trading, chapter 12, pages 223-251, World Scientific Publishing Co. Pte. Ltd..
    5. Joni M. Klumpp & B. Wade Brorsen & Kim B. Anderson, 2008. "Market Advisory Service Recommendations and Wheat Producers' Selling Decisions," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 56(1), pages 117-128, March.
    6. Julio César Alonso & Andr�s Mauricio Arcila, 2013. "Empleo del comportamiento estacional para mejorar el pronóstico de un commodity: el caso del mercado internacional del azúcar," Estudios Gerenciales, Universidad Icesi.
    7. Klumpp, Joni M. & Brorsen, B. Wade & Anderson, Kim B., 2005. "The Impact of Marketing Strategy Information on the Producer's Selling Decision," 2005 Conference, April 18-19, 2005, St. Louis, Missouri 19036, NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    8. Nikolaos T. Milonas & Evangelia K. Photina, 2024. "The convenience yield under commodity financialization," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(4), pages 631-652, April.

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    Keywords

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    JEL classification:

    • Q13 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Markets and Marketing; Cooperatives; Agribusiness

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