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Models of information aggregation in financial markets: a review

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  • Michel Habib
  • Narayan Naik

Abstract

This article reviews static and dynamic models of information aggregation in the literature. It highlights the key assumptions these models make, the results they obtain and the issues that still need to be explored to further our understanding of information aggregation in financial markets.

Suggested Citation

  • Michel Habib & Narayan Naik, 1996. "Models of information aggregation in financial markets: a review," Applied Mathematical Finance, Taylor & Francis Journals, vol. 3(2), pages 159-166.
    • Handle: RePEc:taf:apmtfi:v:3:y:1996:i:2:p:159-166
    DOI: 10.1080/13504869600000008
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    References listed on IDEAS

    as
    1. He, Hua & Wang, Jiang, 1995. "Differential Information and Dynamic Behavior of Stock Trading Volume," The Review of Financial Studies, Society for Financial Studies, vol. 8(4), pages 919-972.
    2. J. Bradford De Long & Andrei Shleifer & Lawrence H. Summers & Robert J. Waldmann, 1987. "The Economic Consequences of Noise Traders," NBER Working Papers 2395, National Bureau of Economic Research, Inc.
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    Cited by:

    1. Karl Ludwig Keiber, 2007. "Reconsidering the impossibility of informationally efficient markets," Applied Financial Economics, Taylor & Francis Journals, vol. 17(14), pages 1113-1122.

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