IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v13y2023i9p1663-d1223105.html
   My bibliography  Save this article

Do Futures Prices Help Forecast Spot Prices? Evidence from China’s New Live Hog Futures

Author

Listed:
  • Tao Xiong

    (School of Agricultural Economics and Rural Development, Renmin University of China, Beijing 100872, China
    College of Economics and Management, Huazhong Agricultural University, Wuhan 430070, China)

  • Miao Li

    (College of Economics and Management, Huazhong Agricultural University, Wuhan 430070, China)

  • Jia Cao

    (School of Applied Economics, Renmin University of China, Beijing 100872, China)

Abstract

China, the largest hog producer and consumer globally, has long experienced significant fluctuations in hog prices, partly due to the lack of rational expectations for future hog spot prices. However, on 8 January 2021, China’s first futures in animal husbandry, the live hog futures, were listed on the Dalian Commodity Exchange. To investigate the forecasting performance of the new live hog futures on forthcoming hog spot prices, we developed six futures-based forecasting models and utilized data on daily hog spot and futures prices from January 2021 to March 2023. Our results show that all six models consistently generate more accurate forecasts than the no-change model across six prediction horizons and four accuracy measures, indicating that China’s new live hog futures prices help forecast forthcoming hog spot prices. Among the futures-based forecasting models, futures spread-based models generally produce the best forecasts for one-, two-, three-, and four-month-ahead forecasting, while the simple linear regression using both spot and futures prices is the best for five- and six-month-ahead forecasting. Our results suggest that live hog futures are a promising and practical tool for various stakeholders in China’s hog industry to develop rational expectations for future hog spot prices.

Suggested Citation

  • Tao Xiong & Miao Li & Jia Cao, 2023. "Do Futures Prices Help Forecast Spot Prices? Evidence from China’s New Live Hog Futures," Agriculture, MDPI, vol. 13(9), pages 1-16, August.
  • Handle: RePEc:gam:jagris:v:13:y:2023:i:9:p:1663-:d:1223105
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/13/9/1663/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2077-0472/13/9/1663/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ron Alquist & Lutz Kilian, 2010. "What do we learn from the price of crude oil futures?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(4), pages 539-573.
    2. Xin Jin, 2017. "Do futures prices help forecast the spot price?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 37(12), pages 1205-1225, December.
    3. Gawon Yoon, 1998. "Forecasting with structural change: why is the random walk model so damned difficult to beat?," Applied Economics Letters, Taylor & Francis Journals, vol. 5(1), pages 41-42.
    4. Richard E. Just & Gordon C. Rausser, 1981. "Commodity Price Forecasting with Large-Scale Econometric Models and the Futures Market," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 63(2), pages 197-208.
    5. Omura, Akihiro & West, Jason, 2015. "Convenience yield and the theory of storage: applying an option-based approach," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 59(3), July.
    6. Kastens, Terry L. & Jones, Rodney D. & Schroeder, Ted C., 1998. "Futures-Based Price Forecasts For Agricultural Producers And Businesses," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 23(1), pages 1-14, July.
    7. Carl R. Zulauf & Scott H. Irwin & Jason E. Ropp & Anthony J. Sberna, 1999. "A reappraisal of the forecasting performance of corn and soybean new crop futures," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 19(5), pages 603-618, August.
    8. Akihiro Omura & Jason West, 2015. "Convenience yield and the theory of storage: applying an option-based approach," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 59(3), pages 355-374, July.
    9. Mr. David A Reichsfeld & Mr. Shaun K. Roache, 2011. "Do Commodity Futures Help Forecast Spot Prices?," IMF Working Papers 2011/254, International Monetary Fund.
    10. Algieri, Bernardina & Kalkuhl, Matthias & Koch, Nicolas, 2017. "A tale of two tails: Explaining extreme events in financialized agricultural markets," Food Policy, Elsevier, vol. 69(C), pages 256-269.
    11. Green, Kesten C. & Armstrong, J. Scott, 2015. "Simple versus complex forecasting: The evidence," Journal of Business Research, Elsevier, vol. 68(8), pages 1678-1685.
    12. Moosa, Imad A. & Al-Loughani, Nabeel E., 1994. "Unbiasedness and time varying risk premia in the crude oil futures market," Energy Economics, Elsevier, vol. 16(2), pages 99-105, April.
    13. Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
    14. Reinhard Ellwanger and Stephen Snudden, 2023. "Futures Prices are Useful Predictors of the Spot Price of Crude Oil," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    15. Colin A. Carter & Sandeep Mohapatra, 2008. "How Reliable Are Hog Futures as Forecasts?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(2), pages 367-378.
    16. Chu, Pyung Kun & Hoff, Kristian & Molnár, Peter & Olsvik, Magnus, 2022. "Crude oil: Does the futures price predict the spot price?," Research in International Business and Finance, Elsevier, vol. 60(C).
    17. William G. Tomek, 1997. "Commodity Futures Prices as Forecasts," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 19(1), pages 23-44.
    18. Makridakis, Spyros & Hibon, Michele, 2000. "The M3-Competition: results, conclusions and implications," International Journal of Forecasting, Elsevier, vol. 16(4), pages 451-476.
    19. David Kenyon & Eluned Jones & M. Anya McGuirk, 1993. "Forecasting Performance of Corn and Soybean Harvest Futures Contracts," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 75(2), pages 399-407.
    20. Ma, Meilin & Wang, H. Holly & Hua, Yizhou & Qin, Fei & Yang, Jing, 2021. "African swine fever in China: Impacts, responses, and policy implications," Food Policy, Elsevier, vol. 102(C).
    21. Chatziantoniou, Ioannis & Degiannakis, Stavros & Filis, George, 2019. "Futures-based forecasts: How useful are they for oil price volatility forecasting?," Energy Economics, Elsevier, vol. 81(C), pages 639-649.
    22. Zhang, Yuehua & Rao, Xudong & Wang, H. Holly, 2019. "Organization, technology and management innovations through acquisition in China’s pork value chains: The case of the Smithfield acquisition by Shuanghui," Food Policy, Elsevier, vol. 83(C), pages 337-345.
    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. Chunlei Li & Gangyi Wang & Yuzhuo Shen & Anani Amètépé Nathanaël Beauclair, 2024. "The Effect of Hog Futures in Stabilizing Hog Production," Agriculture, MDPI, vol. 14(3), pages 1-16, February.

    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. Xiaojie Xu, 2020. "Corn Cash Price Forecasting," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(4), pages 1297-1320, August.
    2. Sanders, Dwight R. & Garcia, Philip & Manfredo, Mark R., 2008. "Information Content in Deferred Futures Prices: Live Cattle and Hogs," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 33(1), pages 1-12, April.
    3. Etienne, Xiaoli L. & Farhangdoost, Sara & Hoffman, Linwood A. & Adam, Brian D., 2023. "Forecasting the U.S. season-average farm price of corn: Derivation of an alternative futures-based forecasting model," Journal of Commodity Markets, Elsevier, vol. 30(C).
    4. Evelyn V. Colino & Scott H. Irwin, 2010. "Outlook vs. Futures: Three Decades of Evidence in Hog and Cattle Markets," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(1), pages 1-15.
    5. Naser, Hanan, 2016. "Estimating and forecasting the real prices of crude oil: A data rich model using a dynamic model averaging (DMA) approach," Energy Economics, Elsevier, vol. 56(C), pages 75-87.
    6. Lang, Korbinian & Auer, Benjamin R., 2020. "The economic and financial properties of crude oil: A review," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    7. Ai Han & Yanan He & Yongmiao Hong & Shouyang Wang, 2013. "Forecasting Interval-valued Crude Oil Prices via Autoregressive Conditional Interval Models," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    8. Xu Xiaojie, 2018. "Using Local Information to Improve Short-Run Corn Price Forecasts," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 16(1), pages 1-15, January.
    9. Pagano Patrizio & Pisani Massimiliano, 2009. "Risk-Adjusted Forecasts of Oil Prices," The B.E. Journal of Macroeconomics, De Gruyter, vol. 9(1), pages 1-28, June.
    10. Andrew McKenzie & Matthew Holt, 2002. "Market efficiency in agricultural futures markets," Applied Economics, Taylor & Francis Journals, vol. 34(12), pages 1519-1532.
    11. Valenti, Daniele & Manera, Matteo & Sbuelz, Alessandro, 2020. "Interpreting the oil risk premium: Do oil price shocks matter?," Energy Economics, Elsevier, vol. 91(C).
    12. Kwas, Marek & Paccagnini, Alessia & Rubaszek, Michał, 2022. "Common factors and the dynamics of cereal prices. A forecasting perspective," Journal of Commodity Markets, Elsevier, vol. 28(C).
    13. Considine, Jennifer & Galkin, Philipp & Aldayel, Abdullah, 2022. "Inventories and the term structure of oil prices: A complex relationship," Resources Policy, Elsevier, vol. 77(C).
    14. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    15. Nicolau, Mihaela & Palomba, Giulio, 2015. "Dynamic relationships between spot and futures prices. The case of energy and gold commodities," Resources Policy, Elsevier, vol. 45(C), pages 130-143.
    16. Chu, Pyung Kun & Hoff, Kristian & Molnár, Peter & Olsvik, Magnus, 2022. "Crude oil: Does the futures price predict the spot price?," Research in International Business and Finance, Elsevier, vol. 60(C).
    17. Xiaojie Xu, 2017. "Short-run price forecast performance of individual and composite models for 496 corn cash markets," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(14), pages 2593-2620, October.
    18. Sanders, Dwight R. & Manfredo, Mark R., 2006. "Forecasting Basis Levels in the Soybean Complex: A Comparison of Time Series Methods," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 38(3), pages 513-523, December.
    19. 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.
    20. Parcell, Joseph L., 2000. "The Impact Of The Ldp On Corn And Soybean Basis In Missouri," 2000 Conference, April 17-18 2000, Chicago, Illinois 18932, NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.

    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:gam:jagris:v:13:y:2023:i:9:p:1663-:d:1223105. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.