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Component structures of agricultural commodity futures traded on the Tokyo Grain Exchange

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  • Ramaprasad Bhar
  • Shigeyuki Hamori

Abstract

In this paper, we propose a discrete version of the short-term and long-term component model of the agricultural futures prices. The maximum likelihood estimate of each parameter is obtained using an adaptive filtering algorithm. The diagnostics statistically support the specification of the model. The short-term components exhibit no causal relationship with economic fundamentals such as inflation rate and economic growth rate. These components, therefore, seem to be driven mainly by fads rather than market fundamentals. On the other hand, the long-term components show conitegrating relationship with only one cointegrating vector among the three futures contracts examined. Copyright Springer Science+Business Media, LLC 2006

Suggested Citation

  • Ramaprasad Bhar & Shigeyuki Hamori, 2006. "Component structures of agricultural commodity futures traded on the Tokyo Grain Exchange," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 13(1), pages 1-9, March.
    • Handle: RePEc:kap:apfinm:v:13:y:2006:i:1:p:1-9
    DOI: 10.1007/s10690-007-9032-2
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    1. Summers, Lawrence H, 1986. "Does the Stock Market Rationally Reflect Fundamental Values?," Journal of Finance, American Finance Association, vol. 41(3), pages 591-601, July.
    2. Jian Yang & Michael Haigh & David Leatham, 2001. "Agricultural liberalization policy and commodity price volatility: a GARCH application," Applied Economics Letters, Taylor & Francis Journals, vol. 8(9), pages 593-598.
    3. Andrew C. Harvey, 1990. "The Econometric Analysis of Time Series, 2nd Edition," MIT Press Books, The MIT Press, edition 2, volume 1, number 026208189x, December.
    4. Olivier J. Blanchard & Mark W. Watson, 1982. "Bubbles, Rational Expectations and Financial Markets," NBER Working Papers 0945, National Bureau of Economic Research, Inc.
    5. A. G. Malliaris & Jorge L. Urrutia, 1996. "Linkages between agricultural commodity futures contracts," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 16(5), pages 595-609, August.
    6. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    7. G. Geoffrey Booth & Cetin Ciner, 2001. "Linkages among agricultural commodity futures prices: evidence from Tokyo," Applied Economics Letters, Taylor & Francis Journals, vol. 8(5), pages 311-313.
    8. Carmen M. Reinhart & Peter Wickham, 1994. "Commodity Prices: Cyclical Weakness or Secular Decline?," IMF Staff Papers, Palgrave Macmillan, vol. 41(2), pages 175-213, June.
    9. Andrew McKenzie & Matthew Holt, 2002. "Market efficiency in agricultural futures markets," Applied Economics, Taylor & Francis Journals, vol. 34(12), pages 1519-1532.
    10. Ramaprasad Bhar & Shigeyuki Hamori, 2006. "Linkages among agricultural commodity futures prices: some further evidence from Tokyo," Applied Economics Letters, Taylor & Francis Journals, vol. 13(8), pages 535-539.
    11. G. Geoffrey Booth & Paul Brockman & Yiuman Tse, 1998. "The relationship between US and Canadian wheat futures," Applied Financial Economics, Taylor & Francis Journals, vol. 8(1), pages 73-80.
    12. Stanley C. Stevens, 1991. "Evidence for a weather persistence effect on the corn, wheat, and soybean growing season price dynamics," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 11(1), pages 81-88, February.
    13. Pindyck, Robert S & Rotemberg, Julio J, 1990. "The Excess Co-movement of Commodity Prices," Economic Journal, Royal Economic Society, vol. 100(403), pages 1173-1189, December.
    14. Adusei Jumah & Sohbet Karbuz & Gerhard Runstler, 1999. "Interest rate differentials, market integration, and the efficiency of commodity futures markets," Applied Financial Economics, Taylor & Francis Journals, vol. 9(1), pages 101-108.
    15. Shigeyuki Hamori & Naoko Hamori & David A. Anderson, 2001. "An Empirical Analysis of the Efficiency of the Osaka Rice Market During Japan's Tokugawa Era," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 21(9), pages 861-874, September.
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    More about this item

    Keywords

    Agricultural futures; Kalman filter; Fads; G12;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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