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Testing The Efficiency Of The South African Futures Market For White Maize

Author

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

Abstract

Cointegration analysis is used to test whether the South African futures market for white maize was efficient (futures prices predict spot (cash) prices that reflect all publicly available information) in 1997 and 1998. Tests are also conducted to assess whether or not white maize futures prices are unbiased predictors of future spot prices (for effective price discovery). There was no long-run relationship between white maize futures and spot prices for 1997, but there is evidence of a long-run relationship between these price series in 1998. Furthermore, the 1998 futures price was an unbiased predictor of future spot prices for both the annual and three-month contract. This could be evidence of a market learning process and a progression towards efficiency, which has seen a marked increase in market liquidity (contract volumes traded) since late 1996.

Suggested Citation

  • 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).
    • Handle: RePEc:ags:agreko:245974
    DOI: 10.22004/ag.econ.245974
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    References listed on IDEAS

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    1. Emmett Elam & Bruce L. Dixon, 1988. "Examining the validity of a test of futures market efficiency," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 8(3), pages 365-372, June.
    2. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. Engle, R. F. & Granger, C. W. J. (ed.), 1991. "Long-Run Economic Relationships: Readings in Cointegration," OUP Catalogue, Oxford University Press, number 9780198283393.
    8. 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.
    9. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    10. 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.
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    Cited by:

    1. 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.

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