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Impacts of Changes in Market Fundamentals and Price Momentum on Hedging Live Cattle

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  • Coffey, Brian K.
  • Tonsor, Glynn T.
  • Schroeder, Ted C.

Abstract

Basis prediction errors for live cattle in the five major Mandatory Livestock Price Reporting areas are analyzed to determine how shifts in the live cattle market fundamentals and contemporaneous market conditions, including price momentum, impact ability to hedge. Results reveal that thinness of the negotiated cash market, weight of cattle marketed, and contemporaneous factors statistically impact basis prediction errors. Impacts vary across region. Volatility in cost of gain and delivery costs have greater effects on basis prediction error than do market trends.

Suggested Citation

  • Coffey, Brian K. & Tonsor, Glynn T. & Schroeder, Ted C., 2018. "Impacts of Changes in Market Fundamentals and Price Momentum on Hedging Live Cattle," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 43(1), January.
  • Handle: RePEc:ags:jlaare:267607
    DOI: 10.22004/ag.econ.267607
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    1. Mindy L. Mallory & Wenjiao Zhao & Scott H. Irwin, 2015. "The Cost of Post‐Harvest Forward Contracting in Corn and Soybeans," Agribusiness, John Wiley & Sons, Ltd., vol. 31(1), pages 47-62, January.
    2. Hatchett, Robert B. & Brorsen, B. Wade & Anderson, Kim B., 2010. "Optimal Length of Moving Average to Forecast Futures Basis," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 35(1), pages 1-16.
    3. Chaves, Denis B. & Viswanathan, Vivek, 2016. "Momentum and mean-reversion in commodity spot and futures markets," Journal of Commodity Markets, Elsevier, vol. 3(1), pages 39-53.
    4. James E. Newsome & George H. K. Wang & M. E. Boyd & Marty J. Fuller, 2004. "Contract modifications and the basis behavior of live cattle futures," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 24(6), pages 557-590, June.
    5. Marsh, John M., 2001. "U.S. Feeder Cattle Prices: Effects Of Finance And Risk, Cow-Calf And Feedlot Technologies, And Mexican Feeder Imports," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 26(2), pages 1-15, December.
    6. Barberis, Nicholas & Shleifer, Andrei & Vishny, Robert, 1998. "A model of investor sentiment," Journal of Financial Economics, Elsevier, vol. 49(3), pages 307-343, September.
    7. Philip Garcia, 2004. "A selected review of agricultural commodity futures and options markets," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 31(3), pages 235-272, September.
    8. Naik, Gopal & Leuthold, Raymond M., 1988. "Cash And Futures Price Relationships For Nonstorable Commodities: An Empirical Analysis Using A General Theory," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 13(2), pages 1-12, December.
    9. Philip Garcia & Dwight R. Sanders, 1996. "Ex ante basis risk in the live hog futures contract: Has hedgers' risk increased?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 16(4), pages 421-440, June.
    10. Holbrook Working, 1948. "Theory of the Inverse Carrying Charge in Futures Markets," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 30(1), pages 1-28.
    11. Philip Garcia & Raymond M. Leuthold & Mohamed E. Sarhan, 1984. "Basis Risk: Measurement and Analysis of Basis Fluctuations for Selected Livestock Markets," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 66(4), pages 499-504.
    12. Shi‐Miin Liu & B. Wade Brorsen & Charles M. Oellermann & Apul L. Farris, 1994. "Forecasting the nearby basis of live cattle," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 14(3), pages 259-273, May.
    13. Tonsor, Glynn T. & Dhuyvetter, Kevin C. & Mintert, James R., 2004. "Improving Cattle Basis Forecasting," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 29(2), pages 1-14, August.
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    Cited by:

    1. Augusto Hauber Gameiro, 2022. "Factors Defining Prices of Finished Cattle in Mato Grosso Contrasted Within Brazil’s Pricing Structure," Journal of Agricultural Studies, Macrothink Institute, vol. 10(4), pages 218-235, December.
    2. Schroeder, Ted C. & Tonsor, Glynn T. & Coffey, Brian K., 2019. "Commodity futures with thinly traded cash markets: The case of live cattle," Journal of Commodity Markets, Elsevier, vol. 15(C), pages 1-1.
    3. Ted C. Schroeder & Brian K. Coffey & Glynn T. Tonsor, 2023. "Hedonic modeling to facilitate price reporting and fed cattle market transparency," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 45(3), pages 1716-1733, September.
    4. Shi, Ruoding & Isengildina Massa, Olga, 2022. "Costs of Futures Hedging in Corn and Soybean Markets," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 47(2), May.

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