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Bootstrap Tests for Multivariate Event Studies

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  • Pin-Huang Chou

Abstract

Statistical tests for multivariate event studies--exact or asymptotic--are derived based on multivariate normality. As it has been previously documented that the performances of these tests are not satisfactory, because stock returns are far from normally distributed (especially for daily returns), this paper proposes the use of bootstrap methods, which are free from any specific distributional assumption, to provide better approximations to the sampling distributions of test statistics in multivariate event studies. The Monte Carlo experiments based on real daily returns data show that the bootstrap tests outperform the traditional tests by having close rejection rates to the nominal significance levels. The traditional tests, in contrast, tend to reject the null hypotheses too often.

Suggested Citation

  • Pin-Huang Chou, 2004. "Bootstrap Tests for Multivariate Event Studies," Review of Quantitative Finance and Accounting, Springer, vol. 23(3), pages 275-290, November.
    • Handle: RePEc:kap:rqfnac:v:23:y:2004:i:3:p:275-290
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    Citations

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    Cited by:

    1. Pavel Dovbnya, 2020. "Announcements of Sanctions and the Russian Equity Market: An Event Study Approach," Russian Journal of Money and Finance, Bank of Russia, vol. 79(1), pages 74-92, March.
    2. N Blasco & P Corredor & S Ferreruela, 2011. "Detecting intentional herding: what lies beneath intraday data in the Spanish stock market," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(6), pages 1056-1066, June.
    3. Pantisa Pavabutr, 2021. "White Knights or Machiavellians? Understanding the motivation for reverse takeovers in Singapore and Thailand," PIER Discussion Papers 153, Puey Ungphakorn Institute for Economic Research.
    4. Pantisa Pavabutr, 2020. "White Knights or Machiavellians? Understanding the motivation for reverse takeovers in Singapore and Thailand," Review of Quantitative Finance and Accounting, Springer, vol. 55(3), pages 983-1001, October.
    5. Huang, Roger D. & Li, Hang, 2009. "Does the market dole out collective punishment? An empirical analysis of industry, geography, and Arthur Andersen's reputation," Journal of Banking & Finance, Elsevier, vol. 33(7), pages 1255-1265, July.
    6. Bohl, Martin T. & Klein, Arne C. & Siklos, Pierre L., 2014. "Short-selling bans and institutional investors' herding behaviour: Evidence from the global financial crisis," International Review of Financial Analysis, Elsevier, vol. 33(C), pages 262-269.
    7. Aristeidis Samitas & Dimitris Kenourgios & Peter Zounis, 2008. "Athens' Olympic Games 2004 impact on sponsors' stock returns," Applied Financial Economics, Taylor & Francis Journals, vol. 18(19), pages 1569-1580.
    8. Michael Cichello & Douglas Lamdin, 2006. "Event Studies and the Analysis of Antitrust," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 13(2), pages 229-245.
    9. Pau Castells & Francesc Trillas, 2008. "Political parties and the economy: Macro convergence, micro partisanship?," Working Papers 2008/1, Institut d'Economia de Barcelona (IEB).
    10. Pau Castells & Francesc Trillas, 2008. "Political parties and the economy: Macro convergence, micro partisanship?," Working Papers 2008/1, Institut d'Economia de Barcelona (IEB).
    11. Mark A. Clatworthy & Michael J. Peel, 2007. "The Effect of Corporate Status on External Audit Fees: Evidence From the UK," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 34(1‐2), pages 169-201, January.
    12. John Jackson & Audrey Kline & Sarah Skinner, 2006. "The Impact of Non-Normality and Misspecification on Merger Event Studies," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 13(2), pages 247-264.
    13. Pau Castells & Francesc Trillas, 2013. "The effects of surprise political events on quoted firms: the March 2004 election in Spain," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 4(1), pages 83-112, March.
    14. Seth Kopchak, 2014. "The absorption effect of US Treasury auctions," Review of Quantitative Finance and Accounting, Springer, vol. 43(1), pages 21-44, July.

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