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Stochastic Volatility, Trading Volume, and the Daily Flow of Information

Author

Listed:
  • Jeff Fleming

    (Rice University)

  • Chris Kirby

    (Clemson University)

  • Barbara Ostdiek

    (Rice University)

Abstract

We use state-space methods to investigate the relation between volume, volatility, and ARCH effects within a mixture of distributions hypothesis (MDH) framework. Most recent studies of the MDH fit AR(1) specifications that require the information flow to be highly persistent. Using a more general specification, we find evidence of a large nonpersistent component of volatility that is closely related to the contemporaneous nonpersistent component of volume. However, in contrast to studies that fit volume-augmented GARCH models, we find no evidence that volume subsumes ARCH effects. Since volume-augmented GARCH models are subject to simultaneity bias, our findings should be more robust than these prior results.

Suggested Citation

  • Jeff Fleming & Chris Kirby & Barbara Ostdiek, 2006. "Stochastic Volatility, Trading Volume, and the Daily Flow of Information," The Journal of Business, University of Chicago Press, vol. 79(3), pages 1551-1590, May.
    • Handle: RePEc:ucp:jnlbus:v:79:y:2006:i:3:p:1551-1590
    DOI: 10.1086/500685
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    References listed on IDEAS

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