IDEAS home Printed from https://ideas.repec.org/p/ags/n13414/285812.html

Forecasting of Futures Prices: Using One Commodity to Help Forecast Another

Author

Listed:
  • Li, Anzhi
  • Dorfman, Jeffrey H.

Abstract

Managers of businesses that involve agricultural commodities need price forecasts in order to manage the risk in either the sale or purchase of agricultural commodities. This paper examines whether commodity price forecasting model performance can be improved by the inclusion of price forecasts for other commodities within the model specification. We estimate 760 dfferent models to forecast the prices of hog, cattle, corn, and soybean and find strong support for the inclusion of other commodity price forecasts in the best forecasting models. Unfortunately, the out-of-sample performance of these models is mixed at best. Still, the results suggest more work is called for to determine how best to use other commodity price forecasts to improve forecasting performance.

Suggested Citation

  • Li, Anzhi & Dorfman, Jeffrey H., 2014. "Forecasting of Futures Prices: Using One Commodity to Help Forecast Another," 2014 Conference, April 21-22, 2014, St. Louis, Missouri 285812, NCR-134/ NCCC-134 Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
  • Handle: RePEc:ags:n13414:285812
    DOI: 10.22004/ag.econ.285812
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/285812/files/Li_Dorfman_NCCC-134_2014.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.285812?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Jon A. Brandt, 1985. "Forecasting and Hedging: An Illustration of Risk Reduction in the Hog Industry," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 67(1), pages 24-31.
    2. Gerlow, Mary E. & Irwin, Scott H. & Liu, Te-Ru, 1993. "Economic evaluation of commodity price forecasting models," International Journal of Forecasting, Elsevier, vol. 9(3), pages 387-397, November.
    3. William A. Cromarty & Walter M. Myers, 1975. "Needed Improvements in Application of Models for Agriculture Commodity Price Forecasting," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 57(2), pages 172-177.
    4. Jeffrey H. Dorfman, 1998. "Bayesian Composite Qualitative Forecasting: Hog Prices Again," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(3), pages 543-551.
    5. Allen, P. Geoffrey, 1994. "Economic forecasting in agriculture," International Journal of Forecasting, Elsevier, vol. 10(1), pages 81-135, June.
    6. Jon A. Brandt & David A. Bessler, 1981. "Composite Forecasting: An Application with U.S. Hog Prices," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 63(1), pages 135-140.
    7. Kastens, Terry L. & Schroeder, Ted C., 1996. "Efficiency Tests Of July Kansas City Wheat Futures," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 21(2), pages 1-12, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Li, Anzhi & Dorfman, Jeffrey H., 2014. "Composite Qualitative Forecasting of Futures Prices: Using One Commodity to Help Forecast Another," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169790, Agricultural and Applied Economics Association.
    2. A. Ford Ramsey & Michael K. Adjemian, 2024. "Forecast combination in agricultural economics: Past, present, and the future," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 46(4), pages 1450-1478, December.
    3. Garcia, Philip & Irwin, Scott H. & Leuthold, Raymond M. & Yang, Li, 1997. "The value of public information in commodity futures markets," Journal of Economic Behavior & Organization, Elsevier, vol. 32(4), pages 559-570, April.
    4. Bingzi Jin & Xiaojie Xu, 2025. "Machine learning price index forecasts of flat steel products," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 38(1), pages 97-117, March.
    5. Xiaojie Xu, 2020. "Corn Cash Price Forecasting," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(4), pages 1297-1320, August.
    6. Carl R. Zulauf & Scott H. Irwin, 1998. "Market Efficiency and Marketing to Enhance Income of Crop Producers," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 20(2), pages 308-331.
    7. Bingzi Jin & Xiaojie Xu, 2025. "Steel price index forecasts through machine learning for northwest China," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 38(4), pages 811-833, December.
    8. Kastens, Terry L. & Schroeder, Ted C., 1996. "Efficiency Tests Of July Kansas City Wheat Futures," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 21(2), pages 1-12, December.
    9. Diersen, Matthew A. & Manfredo, Mark R., 1998. "Forecast Evaluation: A Likelihood Scoring Method," 1981-1999 Conference Archive 285735, NCR-134/ NCCC-134 Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    10. Guney, Selin, 2015. "An evaluation of price forecasts of the cattle market under structural changes," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205109, Agricultural and Applied Economics Association.
    11. Colino, Evelyn V. & Irwin, Scott H. & Garcia, Philip, 2008. "How Much Can Outlook Forecasts be Improved? An Application to the U.S. Hog Market," 2008 Conference, April 21-22, 2008, St. Louis, Missouri 37620, NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    12. Colino, Evelyn V. & Irwin, Scott H. & Garcia, Philip & Etienne, Xiaoli, 2012. "Composite and Outlook Forecast Accuracy," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 37(2), pages 1-19, August.
    13. Feather, Peter M. & Kaylen, Michael S., "undated". "Qualitative Composite Forecasting," 1987 Annual Meeting, August 2-5, East Lansing, Michigan 269941, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    14. Mr. Aasim M. Husain & Chakriya Bowman, 2004. "Forecasting Commodity Prices: Futures Versus Judgment," IMF Working Papers 2004/041, International Monetary Fund.
    15. Lota D. Tamini & Jean‐Philippe Gervais, 2005. "Developing Economic Indexes for the Quebec Hog/Pork Industry," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 53(1), pages 1-23, March.
    16. Armstrong, J. Scott & Green, Kesten C. & Graefe, Andreas, 2015. "Golden rule of forecasting: Be conservative," Journal of Business Research, Elsevier, vol. 68(8), pages 1717-1731.
    17. Covey, Theodore & Erickson, Kenneth W., 2003. "Evaluating USDA Forecasts of Farm Assets: 1986-2002," 2003 Regional Committee NCT-194, October 6-7, 2003; Kansas City, Missouri 132405, Regional Research Committee NC-1014: Agricultural and Rural Finance Markets in Transition.
    18. Douglas MacKinnon & Martin Pavlovič, 2020. "A Bayesian analysis of hop price fluctuations," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 66(12), pages 519-526.
    19. Paroissien, Emmanuel, 2020. "Forecasting bulk prices of Bordeaux wines using leading indicators," International Journal of Forecasting, Elsevier, vol. 36(2), pages 292-309.
    20. Ma, Yong & Zhou, Mingtao & Li, Shuaibing, 2024. "Weathering market swings: Does climate risk matter for agricultural commodity price predictability?," Journal of Commodity Markets, Elsevier, vol. 36(C).

    More about this item

    Keywords

    ;

    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:n13414:285812. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: http://www.farmdoc.illinois.edu/nccc134/ .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.