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Unbiasedness and Market Efficiency Tests of the U.S. Rice Futures Market

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  • Andrew M. McKenzie
  • Bingrong Jiang
  • Harjanto Djunaidi
  • Linwood A. Hoffman
  • Eric J. Wailes

Abstract

This study examines short-run and long-run unbiasedness within the U.S. rice futures market. Standard OLS, cointegration, and error-correction models are used to determine unbiasedness. In addition, the forecasting performance of the rice futures market is analyzed and compared to out-of-sample forecasts derived from an additive ARIMA model and the error-correction model. The results of our unbiasedness tests and the forecasting performance of the rice futures market provide supporting evidence that the U.S. long-grain rough rice futures market is efficient. The results have important price risk management and price discovery implications for Arkansas and U.S. rice industry participants. Copyright 2002, Oxford University Press.

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  • Andrew M. McKenzie & Bingrong Jiang & Harjanto Djunaidi & Linwood A. Hoffman & Eric J. Wailes, 2002. "Unbiasedness and Market Efficiency Tests of the U.S. Rice Futures Market," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 24(2), pages 474-493.
    • Handle: RePEc:oup:revage:v:24:y:2002:i:2:p:474-493
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    Cited by:

    1. Takeshi Inoue & Shigeyuki Hamori, 2014. "Market efficiency of commodity futures in India," Applied Economics Letters, Taylor & Francis Journals, vol. 21(8), pages 522-527, May.
    2. Shernaz Bodhanwala & Harsh Purohit & Nidhi Choudhary, 2020. "The Causal Dynamics in Indian Agriculture Commodity Prices and Macro-Economic Variables in the Presence of a Structural Break," Global Business Review, International Management Institute, vol. 21(1), pages 241-261, February.
    3. Sanders, Dwight R. & Manfredo, Mark R., 2005. "A Test of Forecast Consistency Using USDA Livestock Price Forecasts," 2005 Conference, April 18-19, 2005, St. Louis, Missouri 19042, NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    4. Andrew M. McKenzie & Jessica L. Darby, 2017. "Information Content of USDA Rice Reports and Price Reactions of Rice Futures," Agribusiness, John Wiley & Sons, Ltd., vol. 33(4), pages 552-568, September.
    5. Natanelov, Valeri & Alam, Mohammad J. & McKenzie, Andrew M. & Van Huylenbroeck, Guido, 2011. "Is there co-movement of agricultural commodities futures prices and crude oil?," Energy Policy, Elsevier, vol. 39(9), pages 4971-4984, September.
    6. Roseli da Silva & Rodrigo Takeuchi, 2008. "Uma análise empírica de eficiência relativa nos mercados futuro e à vista de açúcar," Working Papers 08_06, Universidade de São Paulo, Faculdade de Economia, Administração e Contabilidade de Ribeirão Preto.
    7. Anthony Becker & Rebecca Judge, 2014. "Evidence of Distortionary Effects of Decoupled Payments in U.S. Indica Rice Production," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 42(3), pages 265-275, September.
    8. Li, Jia & Hanrahan, Kevin F. & McErlean, Seamus, 2004. "The Efficiency Of The Futures Market For Agricultural Commodities In The Uk," 2004 Annual meeting, August 1-4, Denver, CO 20203, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    9. Tondel, Fabien & Maynard, Leigh J., 2004. "Is The Thinly-Traded Butter Futures Contract Priced Efficiently?," 2004 Annual Meeting, February 14-18, 2004, Tulsa, Oklahoma 34684, Southern Agricultural Economics Association.
    10. McCullough, Kerry & Strydom, Barry, 2013. "The efficiency of the South African white maize futures market," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 52(3), March.
    11. Jabir Ali & Kriti Bardhan Gupta, 2011. "Efficiency in agricultural commodity futures markets in India," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 71(2), pages 162-178, August.
    12. repec:kap:iaecre:v:15:y:2009:i:4:p:470-482 is not listed on IDEAS
    13. Sung No & Michael Salassi, 2009. "A Sequential Rationality Test of USDA Preliminary Price Estimates for Selected Program Crops: Rice, Soybeans, and Wheat," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 15(4), pages 470-482, November.
    14. repec:ags:ijag24:345253 is not listed on IDEAS
    15. Kim, Man-Keun & Tejeda, Hernan & Yu, T. Edward, 2017. "U.S. milled rice markets and integration across regions and types," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 20(5).

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