IDEAS home Printed from https://ideas.repec.org/p/ags/ifma99/346540.html
   My bibliography  Save this paper

Is the South African Futures Market for Yellow Maize Efficient? Implications for Local Commercial Maize Farmers

Author

Listed:
  • Wiseman, J.A.
  • Darroch, M.A,G.
  • Ortmann, G.F.

Abstract

An efficient futures market should provide a forecast of the future spot (cash) price which reflects all publicly available information; ideally, for effective price discovery, such forecasts would also be unbiased The trading of yellow maize futures contracts began in South Africa in mid-J996 after the power of the Maize Board to set maize producer prices was abolished Cointegration analysis shows that (I) there is a long-run relationship between South African yellow maize futuresand spot prices, and (2) the futures price was cm unbiased predictor of spot prices for the three-month 1997 contract and annual 1998 contract, but a biased predictor for the three-month 1998 contract. Overall, this means that South African maize farmers can use price information derived from recently introduced yellow maize futures contracts to forecast "local" yellow maize cash prices. This information can help them in their planting decisions, in negotiating yellow maize cash prices with traders and millers, and in deciding whether, and what portion of their crop, to hedge against price risk by using futures contracts. efficient.

Suggested Citation

  • Wiseman, J.A. & Darroch, M.A,G. & Ortmann, G.F., 1999. "Is the South African Futures Market for Yellow Maize Efficient? Implications for Local Commercial Maize Farmers," 12th Congress, Durban, South Africa, July 18-24, 1999 346540, International Farm Management Association.
  • Handle: RePEc:ags:ifma99:346540
    DOI: 10.22004/ag.econ.346540
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/346540/files/IFMA12_032.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.346540?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. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    2. Abdur R. Chowdhury, 1991. "Futures market efficiency: Evidence from cointegration tests," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 11(5), pages 577-589, October.
    3. Kon S. Lai & Michael Lai, 1991. "A cointegration test for market efficiency," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 11(5), pages 567-575, October.
    4. Philip Garcia & Raymond M. Leuthold & T. Randall Fortenbery & Gboroton F. Sarassoro, 1988. "Pricing Efficiency in the Live Cattle Futures Market: Further Interpretation and Measurement," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 70(1), pages 162-169.
    5. William J. Crowder & Anas Hamed, 1993. "A cointegration test for oil futures market efficiency," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 13(8), pages 933-941, December.
    6. A. J. Aulton & C. T. Ennew & A. J. Rayner, 1997. "Efficiency Tests Of Futures Markets For Uk Agricultural Commodities," Journal of Agricultural Economics, Wiley Blackwell, vol. 48(1‐3), pages 408-424, January.
    7. T. Randall Fortenbery & Hector O. Zapata, 1993. "An examination of cointegration relations between futures and local grain markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 13(8), pages 921-932, 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. Wiseman, J.A. & Darroch, M.A.G. & Ortmann, G.F., 1999. "Testing The Efficiency Of The South African Futures Market For White Maize," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 38(3).
    2. Wang, H. Holly & Ke, Bingfan, 2005. "Efficiency tests of agricultural commodity futures markets in China," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 49(2), pages 1-17.
    3. A. J. Aulton & C. T. Ennew & A. J. Rayner, 1997. "Efficiency Tests Of Futures Markets For Uk Agricultural Commodities," Journal of Agricultural Economics, Wiley Blackwell, vol. 48(1‐3), pages 408-424, January.
    4. Sibanjan Mishra, 2019. "Testing Martingale Hypothesis Using Variance Ratio Tests: Evidence from High-frequency Data of NCDEX Soya Bean Futures," Global Business Review, International Management Institute, vol. 20(6), pages 1407-1422, December.
    5. Nordier, Jean-Pierre, 2021. "Identifying possible misspecification in South African soybean oil future contracts," Research Theses 334756, Collaborative Masters Program in Agricultural and Applied Economics.
    6. Xuedong Wu & Jeffrey H. Dorfman & Berna Karali, 2018. "The impact of data frequency on market efficiency tests of commodity futures prices," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(6), pages 696-714, June.
    7. Richard Heaney, 1998. "A Test of the cost‐of‐carry relationship using the London Metal Exchange lead contract," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 18(2), pages 177-200, April.
    8. Kuruppuarachchi, Duminda & Lin, Hai & Premachandra, I.M., 2019. "Testing commodity futures market efficiency under time-varying risk premiums and heteroscedastic prices," Economic Modelling, Elsevier, vol. 77(C), pages 92-112.
    9. Brenner, Robin J. & Kroner, Kenneth F., 1995. "Arbitrage, Cointegration, and Testing the Unbiasedness Hypothesis in Financial Markets," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 30(1), pages 23-42, March.
    10. Mohanty, Sunil K. & Mishra, Sibanjan, 2020. "Regulatory reform and market efficiency: The case of Indian agricultural commodity futures markets," Research in International Business and Finance, Elsevier, vol. 52(C).
    11. Shashi Gupta & Himanshu Choudhary & D. R. Agarwal, 2018. "An Empirical Analysis of Market Efficiency and Price Discovery in Indian Commodity Market," Global Business Review, International Management Institute, vol. 19(3), pages 771-789, June.
    12. Xiaojie Xu, 2018. "Intraday price information flows between the CSI300 and futures market: an application of wavelet analysis," Empirical Economics, Springer, vol. 54(3), pages 1267-1295, May.
    13. Sarker, Debnarayan & Das, Nimai, 2007. "Efficiency of Market Behaviour of NTFPs for Households under JFMP: A Case Study in West Bengal," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 62(1), pages 1-19.
    14. Tiwari, Aviral Kumar & Albulescu, Claudiu Tiberiu & Yoon, Seong-Min, 2017. "A multifractal detrended fluctuation analysis of financial market efficiency: Comparison using Dow Jones sector ETF indices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 483(C), pages 182-192.
    15. Guo, Yaoqi & Yao, Shanshan & Cheng, Hui & Zhu, Wensong, 2020. "China's copper futures market efficiency analysis: Based on nonlinear Granger causality and multifractal methods," Resources Policy, Elsevier, vol. 68(C).
    16. Joseph, Kishore & Garcia, Philip & Peterson, Paul E., 2016. "Does the Boxed Beef Price Inform the Live Cattle Futures Price?," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236166, Agricultural and Applied Economics Association.
    17. Hector O. Zapata & T. Randall Fortenbery, 1996. "Stochastic Interest Rates and Price Discovery in Selected Commodity Markets," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 18(4), pages 643-654.
    18. Wani, M.H. & Paul, Ranjit Kumar & Bazaz, Naseer H. & Manzoor, M., 2015. "Market integration and Price Forecasting of Apple in India," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 70(2), pages 1-13.
    19. Aruga, Kentaka & Managi, Shunsuke, 2011. "Price linkages in the copper futures, primary, and scrap markets," Resources, Conservation & Recycling, Elsevier, vol. 56(1), pages 43-47.
    20. Farkas, Walter & Gourier, Elise & Huitema, Robert & Necula, Ciprian, 2017. "A two-factor cointegrated commodity price model with an application to spread option pricing," Journal of Banking & Finance, Elsevier, vol. 77(C), pages 249-268.

    More about this item

    Keywords

    Marketing; Crop Production/Industries;

    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:ifma99:346540. 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: https://edirc.repec.org/data/ifmaaea.html .

    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.