IDEAS home Printed from https://ideas.repec.org/a/ags/jlaare/61057.html
   My bibliography  Save this article

Optimal Length of Moving Average to Forecast Futures Basis

Author

Listed:
  • 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(1), pages 1-16.
    • Handle: RePEc:ags:jlaare:61057
    DOI: 10.22004/ag.econ.61057
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/61057/files/JARE_Apr2010__02_pp18-33.pdf
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Taylor, Mykel R. & Dhuyvetter, Kevin C. & Kastens, Terry L., 2004. "Incorporating Current Information Into Historical-Average-Based Forecasts To Improve Crop Price Basis Forecasts," 2004 Conference, April 19-20, 2004, St. Louis, Missouri 19022, NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    2. Klumpp, Joni M. & Brorsen, B. Wade & Anderson, Kim B., 2007. "Determining Returns to Storage: Does Data Aggregation Matter," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 39(3), pages 1-9, December.
    3. Naik, Gopal & Leuthold, Raymond M., 1991. "A Note on the Factors Affecting Corn Basis Relationships," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 23(1), pages 147-153, July.
    4. Kenyon, David E. & Kingsley, Steven E., 1973. "An Analysis of Anticipatory Short Hedging Using Predicted Harvest Basis," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 5(1), pages 199-203, July.
    5. Townsend, John P. & Brorsen, B. Wade, 2000. "Cost Of Forward Contracting Hard Red Winter Wheat," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 32(1), pages 1-6, April.
    6. Hyun Seok Kim & B. Wade Brorsen & Kim B. Anderson, 2010. "Profit Margin Hedging," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(3), pages 638-653.
    7. B. Wade Brorsen & John Coombs & Kim Anderson, 1995. "The cost of forward contracting wheat," Agribusiness, John Wiley & Sons, Ltd., vol. 11(4), pages 349-354.
    8. Chernov, Mikhail & Ronald Gallant, A. & Ghysels, Eric & Tauchen, George, 2003. "Alternative models for stock price dynamics," Journal of Econometrics, Elsevier, vol. 116(1-2), pages 225-257.
    9. 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.
    10. 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(1), pages 1-14.
    11. Dabin Wang & William G. Tomek, 2007. "Commodity Prices and Unit Root Tests," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(4), pages 873-889.
    12. Seung-Ryong Yang & B. Wade Brorsen, 1992. "Nonlinear Dynamics of Daily Cash Prices," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 74(3), pages 706-715.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Pudenz, Christopher C. & Schulz, Lee L., 2020. "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. 0(Preprints), August.
    2. 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.
    3. 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.
    4. Marie Coiffard & Laëtitia Guilhot, 2012. "Migrations internationales : la mobilité des Hommes, facteur d'intégration régionale en Asie Orientale ?," Post-Print halshs-00755102, HAL.
    5. 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.
    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(1), pages 1-17, January.
    7. Onel, Gulcan & Karali, Berna, 2014. "Relative Performance of Semi-Parametric Nonlinear Models in Forecasting Basis," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169795, Agricultural and Applied Economics Association.

    More about this item

    Keywords

    Marketing;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:jlaare:61057. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search). General contact details of provider: http://edirc.repec.org/data/waeaaea.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.