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Market efficiency in agricultural futures markets

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  • Andrew McKenzie
  • Matthew Holt

Abstract

Market efficiency and unbiasedness are tested in four agricultural commodity futures markets - live cattle, hogs, corn, and soybean meal - using cointegration and error correction models with GQARCH-in-mean processes. Results indicate each market is unbiased in the long run, although cattle, hogs and corn futures markets exhibit short-run inefficiencies and pricing biases. Models for cattle and corn outperform futures prices in out-of-sample forecasting. Results also suggest short-run time-varying risk premiums in cattle and hog futures markets.

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Bibliographic Info

Article provided by Taylor & Francis Journals in its journal Applied Economics.

Volume (Year): 34 (2002)
Issue (Month): 12 ()
Pages: 1519-1532

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Handle: RePEc:taf:applec:v:34:y:2002:i:12:p:1519-1532

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Citations

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Cited by:
  1. Arouri, Mohamed El Hedi & Hammoudeh, Shawkat & Lahiani, Amine & Nguyen, Duc Khuong, 2013. "On the short- and long-run efficiency of energy and precious metal markets," Energy Economics, Elsevier, vol. 40(C), pages 832-844.
  2. Jabir Ali & Kriti Bardhan Gupta, 2011. "Efficiency in agricultural commodity futures markets in India: Evidence from cointegration and causality tests," Agricultural Finance Review, Emerald Group Publishing, vol. 71(2), pages 162-178, July.
  3. Wang, H. Holly & Ke, Bingfan, 2003. "Is China'S Agricultural Futures Market Efficient?," 2003 Annual Meeting, August 16-22, 2003, Durban, South Africa 25806, International Association of Agricultural Economists.
  4. Mazouz, Khelifa & Wang, Jian, 2014. "Are commodity futures markets short-term efficient? An empirical investigation," 88th Annual Conference, April 9-11, 2014, AgroParisTech, Paris, France 169763, Agricultural Economics Society.
  5. 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.
  6. Armah, Stephen E., 2008. "Establishing the Presence of a Risk Premium in the Cocoa Futures Market: An Econometric Analysis," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6778, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  7. Prehn, Sören & Glauben, Thomas & Loy, Jens-Peter & Pies, Ingo & Will, Matthias Georg, 2014. "The impact of long-only index funds on price discovery and market performance in agricultural futures markets," IAMO Discussion Papers 147, Leibniz Institute of Agricultural Development in Central and Eastern Europe (IAMO).
  8. repec:rej:journl:v:16:y:2013:i:47:p:211-228 is not listed on IDEAS
  9. Carcano, G. & Falbo, P. & Stefani, S., 2005. "Speculative trading in mean reverting markets," European Journal of Operational Research, Elsevier, vol. 163(1), pages 132-144, May.
  10. Riva, Fabrice & Lautier, Delphine, 2004. "Liquidity and volatility in the American crude oil futures market," Economics Papers from University Paris Dauphine 123456789/1244, Paris Dauphine University.
  11. Natanelov, Valeri & McKenzie, Andrew M. & Van Huylenbroeck, Guido, 2013. "Crude oil–corn–ethanol – nexus: A contextual approach," Energy Policy, Elsevier, vol. 63(C), pages 504-513.
  12. 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), June.
  13. Schnake, Kristin N. & Karali, Berna & Dorfman, Jeffrey H., 2012. "The Informational Content of Distant-Delivery Futures Contracts," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 37(2), August.
  14. Ramaprasad Bhar & Shigeyuki Hamori, 2006. "Component structures of agricultural commodity futures traded on the Tokyo Grain Exchange," Asia-Pacific Financial Markets, Springer, vol. 13(1), pages 1-9, March.

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