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Heterogeneous expectations of traders in speculative futures markets

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  • Robert I. Webb
  • Darren L. Frechette
  • Robert D. Weaver

Abstract

The representative agent hypothesis is disputable on theoretical grounds because it is inconsistent with observed trading behavior and the existence of speculative markets. In such markets, the representative agent hypothesis implies agents hold homogeneous expectations. If this were true, speculative markets would fail as only one side of the market would be represented, either demand or supply. Nonetheless, the homogeneity assumption has been maintained in the past to ensure tractability because of the difficulty of explicit aggregation across heterogeneous expectations. In this article, we present and apply an approach for analyzing heterogeneity in specific market settings. To do so, our approach specifies an underlying distribution of expectations that is consistent with heterogeneity across expectations. To demonstrate the utility of the approach, we present results from its application to a time series of commodity futures prices. Results are consistent with the conclusion that significant heterogeneity in expectations exists in speculative futures markets. © 2001 John Wiley & Sons, Inc. Jrl Fut Mark 21:429–446, 2001

Suggested Citation

  • Robert I. Webb & Darren L. Frechette & Robert D. Weaver, 2001. "Heterogeneous expectations of traders in speculative futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 21(5), pages 429-446, May.
  • Handle: RePEc:wly:jfutmk:v:21:y:2001:i:5:p:429-446
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    Cited by:

    1. Kimmich, Christian & Fischbacher, Urs, 2016. "Behavioral determinants of supply chain integration and coexistence," Journal of Forest Economics, Elsevier, vol. 25(C), pages 55-77.
    2. M. Illueca & J. Lafuente, 2008. "Introducing the mini-futures contract on Ibex 35: implications for price discovery and volatility transmission," Spanish Economic Review, Springer;Spanish Economic Association, vol. 10(3), pages 197-219, September.
    3. Imad A. Moosa, 2015. "The random walk versus unbiased efficiency: can we separate the wheat from the chaff?," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 38(2), pages 251-279, October.

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