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Detecting cumulative abnormal volume: a comparison of event study methods

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  • Imre Karafiath

Abstract

A growing body of research in accounting and finance examines the reaction of trading volume to new information. The typical 'volume event study' employs a single-index market model borrowed mutatis mutandis from abnormal returns event studies. In this article, several alternative event study test statistics are compared using Brown and Warner (1985) style simulations, i.e. random samples of securities are drawn from the data set provided by the Center for Research in Security Prices (CRSP) and the empirical distributions of alternative test statistics are compared. In contrast to the extant literature, these simulations show that estimated generalized least squares with first- and second-order autoregressive structures do not offer material improvement over ordinary least squares (OLS) regression. A first-order moving average structure also does not offer material improvement. These simulations also show that test statistics that are robust with regard to cross-sectional heteroskedasticity are essential for testing the hypothesis that the cross-sectional mean cumulative abnormal log turnover is zero.

Suggested Citation

  • Imre Karafiath, 2009. "Detecting cumulative abnormal volume: a comparison of event study methods," Applied Economics Letters, Taylor & Francis Journals, vol. 16(8), pages 797-802.
    • Handle: RePEc:taf:apeclt:v:16:y:2009:i:8:p:797-802
    DOI: 10.1080/17446540802277187
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    References listed on IDEAS

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    1. Joon Chae, 2005. "Trading Volume, Information Asymmetry, and Timing Information," Journal of Finance, American Finance Association, vol. 60(1), pages 413-442, February.
    2. M. H. Pesaran, 1973. "Exact Maximum Likelihood Estimation of a Regression Equation with a First-Order Moving-Average Error," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 40(4), pages 529-535.
    3. Harrington, Scott E. & Shrider, David G., 2007. "All Events Induce Variance: Analyzing Abnormal Returns When Effects Vary across Firms," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 42(1), pages 229-256, March.
    4. Tkac, Paula A., 1999. "A Trading Volume Benchmark: Theory and Evidence," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 34(1), pages 89-114, March.
    5. Boehmer, Ekkehart & Masumeci, Jim & Poulsen, Annette B., 1991. "Event-study methodology under conditions of event-induced variance," Journal of Financial Economics, Elsevier, vol. 30(2), pages 253-272, December.
    6. Campbell, Cynthia J & Wasley, Charles E, 1996. "Measuring Abnormal Daily Trading Volume for Samples of NYSE/ASE and NASDAQ Securities Using Parametric and Nonparametric Test Statistics," Review of Quantitative Finance and Accounting, Springer, vol. 6(3), pages 309-326, May.
    7. Ajinkya, Bipin B. & Jain, Prem C., 1989. "The behavior of daily stock market trading volume," Journal of Accounting and Economics, Elsevier, vol. 11(4), pages 331-359, November.
    8. Cready, William M. & Ramanan, Ramachandran, 1991. "The power of tests employing log-transformed volume in detecting abnormal trading," Journal of Accounting and Economics, Elsevier, vol. 14(2), pages 203-214, June.
    9. Richardson, Gordon & Sefcik, Stephan E. & Thompson, Rex, 1986. "A test of dividend irrelevance using volume reactions to a change in dividend policy," Journal of Financial Economics, Elsevier, vol. 17(2), pages 313-333, December.
    10. Mikkelson, Wayne H. & Partch, M. Megan, 1988. "Withdrawn Security Offerings," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 23(2), pages 119-133, June.
    11. Brown, Stephen J. & Warner, Jerold B., 1985. "Using daily stock returns : The case of event studies," Journal of Financial Economics, Elsevier, vol. 14(1), pages 3-31, March.
    12. Collins, Dw & Dent, Wt, 1984. "A Comparison Of Alternative Testing Methodologies Used In Capital-Market Research," Journal of Accounting Research, Wiley Blackwell, vol. 22(1), pages 48-84.
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    3. Zhang, Jing Hua & Tam, Kwo Ping & Zhou, Nan, 2016. "Do smoking bans always hurt the gaming industry? Differentiated impacts on the market value of casino firms in Macao (China)," Economics Discussion Papers 2016-21, Kiel Institute for the World Economy (IfW Kiel).
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