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Optimal Length of Moving Average to Forecast Futures Basis

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  • Hatchett, Robert B.
  • Brorsen, B. Wade
  • Anderson, Kim B.

Abstract

The question addressed in this study is which length of historical moving average provides the best forecast of futures basis. Differences in observed forecast accuracy among the different moving averages are usually less than a cent per bushel, and most are not statistically significant. Further, the search for an optimal length of moving average may be futile since the optimal length depends on how much structural change has occurred. Our recommendation is to use moving averages when there has been no structural change and to use last year’s basis or an alternative approach if the forecaster perceives that a structural change has occurred.

Suggested Citation

  • 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(01), pages 1-16.
    • Handle: RePEc:ags:jlaare:61057
    DOI: 10.22004/ag.econ.61057
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    11. Diaz, Edgar F. Pebe & Brorsen, B. Wade & Anderson, Kim B. & Richter, Francisca G.-C. & Kenkel, Philip L., 2002. "The Effect Of Rounding On The Probability Distribution Of Regrading In The U.S. Peanut Industry," Journal of Agribusiness, Agricultural Economics Association of Georgia, vol. 20(01), pages 1-14.
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    3. Rangga Handika & Sania Ashraf, 2018. "Financialized Commodities and Stock Indices Volatilities," European Research Studies Journal, European Research Studies Journal, vol. 0(1), pages 153-164.
    4. Fernandez-Perez, Adrian & Frijns, Bart & Gafiatullina, Ilnara & Tourani-Rad, Alireza, 2022. "Profit margin hedging in the New Zealand dairy farming industry," Journal of Commodity Markets, Elsevier, vol. 26(C).
    5. Pudenz, Christopher C. & Schulz, Lee L., 2021. "Packer Procurement, Structural Change, and Moving Average Basis Forecasts: Lessons from the Fed Dairy Cattle Industry," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 46(3), September.
    6. Bekkerman, Anton & Brester, Gary W. & Taylor, Mykel, 2016. "Forecasting a Moving Target: The Roles of Quality and Timing for Determining Northern U.S. Wheat Basis," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 41(01), pages 1-17, January.
    7. Lee, Yoonsuk & Brorsen, B. Wade, 2012. "Impacts of Permanent and Transitory Shocks on Optimal Length of Moving Average to Predict Wheat Basis," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 125001, Agricultural and Applied Economics Association.
    8. Coffey, Brian K. & Tonsor, Glynn T. & Schroeder, Ted C., . "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(01).
    9. Joaquin Alfredo-Angel Rubalcaba & José R. Bucheli & Camila Morales, 2024. "Immigration enforcement and labor supply: Hispanic youth in mixed-status families," Journal of Population Economics, Springer;European Society for Population Economics, vol. 37(2), pages 1-38, June.
    10. Hayhurst, Emma & Brorsen, B. Wade, . "Resilience of Grain Storage Markets to Upheaval in Futures Markets," Research on World Agricultural Economy, Nan Yang Academy of Sciences Pte Ltd (NASS), vol. 4(2).

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