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Security Bid/Ask Dynamics with Discreteness and Clustering: Simple Strategies for Modeling and Estimation

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  • Joel Hasbrouck

Abstract

The short-term movements of a security price reflect the latent efficient price (conditional expectation of terminal value) and also components arising from the trading mechanism itself. Observed bid and ask quotes are but rough signals of these unobserved quantities. The bid and ask quotes in the $/DM market considered here, for example, are discrete, with a tick size that is not trivial relative to the spread. Furthermore, the distribution of these quotes is clustered, with a greater-than-expected incidence of five-tick multiples. This paper suggests a simple framework for handling discrete, clustered quotes. Despite the simplicity of the model, estimation by traditional (likelihood or moment) methods is difficult. As an alternative, the paper implements a Gibbs sampler approach that proves to be quick and effective. This strategy opens the door for the investigation of a broad class of structural microstructure models.

Suggested Citation

  • Joel Hasbrouck, 1998. "Security Bid/Ask Dynamics with Discreteness and Clustering: Simple Strategies for Modeling and Estimation," New York University, Leonard N. Stern School Finance Department Working Paper Seires 98-042, New York University, Leonard N. Stern School of Business-.
  • Handle: RePEc:fth:nystfi:98-042
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    File URL: http://www.stern.nyu.edu/fin/workpapers/wpa98042.pdf
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    References listed on IDEAS

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    Cited by:

    1. Sun, Edward W. & Rezania, Omid & Rachev, Svetlozar T. & Fabozzi, Frank J., 2011. "Analysis of the intraday effects of economic releases on the currency market," Journal of International Money and Finance, Elsevier, vol. 30(4), pages 692-707, June.
    2. Jeremy Large, 2005. "Estimating quadratic variation when quoted prices jump by a constant increment," Economics Papers 2005-W05, Economics Group, Nuffield College, University of Oxford.

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