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Volatility clustering and event-induced volatility: Evidence from UK mergers and acquisitions

  • Ercan Balaban
  • Charalambos Th. Constantinou
Registered author(s):

    The paper describes simultaneous tests of the effects of announcements of UK mergers and acquisitions on both the mean and conditional volatility functions for UK bidder firms. Unlike previous research, the entire data set is utilized, thus avoiding researcher-chosen event periods. The cross-sectional test statistics for 745 firms show that the announcement day returns are significantly negative and the conditional volatility decreases. Results suggest that the event studies should incorporate firm-specific time-varying volatility into their abnormal return generating processes and into the tests calibrating the significance of both abnormal return and abnormal volatility around an event.

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    File URL: http://www.tandfonline.com/doi/abs/10.1080/13518470500377430
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    Article provided by Taylor & Francis Journals in its journal The European Journal of Finance.

    Volume (Year): 12 (2006)
    Issue (Month): 5 ()
    Pages: 449-453

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    Handle: RePEc:taf:eurjfi:v:12:y:2006:i:5:p:449-453
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    1. Corrado, Charles J., 1989. "A nonparametric test for abnormal security-price performance in event studies," Journal of Financial Economics, Elsevier, vol. 23(2), pages 385-395, August.
    2. Andersen, Torben G & Bollerslev, Tim, 1998. "Answering the Skeptics: Yes, Standard Volatility Models Do Provide Accurate Forecasts," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 885-905, November.
    3. 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.
    4. 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.
    5. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    6. Bollerslev, Tim & Chou, Ray Y. & Kroner, Kenneth F., 1992. "ARCH modeling in finance : A review of the theory and empirical evidence," Journal of Econometrics, Elsevier, vol. 52(1-2), pages 5-59.
    7. Ercan Balaban & Asli Bayar & Robert Faff, 2006. "Forecasting stock market volatility: Further international evidence," The European Journal of Finance, Taylor & Francis Journals, vol. 12(2), pages 171-188.
    8. Brown, Stephen J. & Warner, Jerold B., 1980. "Measuring security price performance," Journal of Financial Economics, Elsevier, vol. 8(3), pages 205-258, September.
    9. Ser-Huang Poon & Clive W.J. Granger, 2003. "Forecasting Volatility in Financial Markets: A Review," Journal of Economic Literature, American Economic Association, vol. 41(2), pages 478-539, June.
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