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Econometrics of Financial Models and Market Microstructure Effects

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  • Smith, Tom

Abstract

This paper addresses the problem of testing financial models in the presence of market micro structure effects. The moment restrictions implied by the financial and market microstructure models are jointly tested using Hansen's (1982) GMM approach. To illustrate the methodology, I consider the random walk model in combination with the bid-ask price effect model of Blume and Stambaugh (1983). Within this sufficiently simple framework, I obtain closed-form expressions for the estimators, standard errors of the estimators, and the test statistic, which affords an opportunity to examine the precision of the estimators and the power of the test as the return interval increases. I show that apparent rejections of the random walk model cannot be sustained when tests of the model are adjusted for market micro structure effects, and I discuss other applications of the methodology.

Suggested Citation

  • Smith, Tom, 1994. "Econometrics of Financial Models and Market Microstructure Effects," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 29(4), pages 519-540, December.
    • Handle: RePEc:cup:jfinqa:v:29:y:1994:i:04:p:519-540_00
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    Cited by:

    1. Torben G. Anderson & Tim Bollerslev & Ashish Das, 1998. "Testing for Market Microstructure Effects in Intraday Volatility: A Reassessment of the Tokyo FX Experiment," NBER Working Papers 6666, National Bureau of Economic Research, Inc.
    2. Ronen, Tavy & Weaver, Daniel G., 2001. "'Teenies' anyone?," Journal of Financial Markets, Elsevier, vol. 4(3), pages 231-260, June.
    3. Coppejans, Mark & Domowitz, Ian, 1997. "Noise In the Price Discovery Process: A Comparison of Periodicand Continuous Auctions," Working Papers 97-04, Duke University, Department of Economics.
    4. Wang, Jianxin, 1999. "Asymmetric information and the bid-ask spread: an empirical comparison between automated order execution and open outcry auction," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 9(2), pages 115-128, April.
    5. Lauter, Tobias & Prokopczuk, Marcel, 2022. "Measuring commodity market quality," Journal of Banking & Finance, Elsevier, vol. 145(C).

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