2006
DOI: 10.1080/13518470500377430
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Volatility clustering and event-induced volatility: Evidence from UK mergers and acquisitions

Abstract: 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 ti… Show more

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Cited by 20 publications
(18 citation statements)
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“…In this respect, the use of the specific GARCH(1,1) model is widespread since it sufficiently explains systematic variation of stock return volatility in most cases (e.g., Akgiray, 1989, Andersen and Bollerslev, 1998, Engle, 2001, although several modifications have been proposed in the meantime. While GARCH models are already widely applied for several event studies so far (e.g., Savickas, 2003, Babalan and Constantinou, 2006, Oberndorfer and Ulbricht, 2007, only very few event studies use this approach to analyze the impact of corporate environmental or social performance on stock returns (e.g., Becchetti et al, 2007).…”
Section: Event Study Approachmentioning
confidence: 99%
“…In this respect, the use of the specific GARCH(1,1) model is widespread since it sufficiently explains systematic variation of stock return volatility in most cases (e.g., Akgiray, 1989, Andersen and Bollerslev, 1998, Engle, 2001, although several modifications have been proposed in the meantime. While GARCH models are already widely applied for several event studies so far (e.g., Savickas, 2003, Babalan and Constantinou, 2006, Oberndorfer and Ulbricht, 2007, only very few event studies use this approach to analyze the impact of corporate environmental or social performance on stock returns (e.g., Becchetti et al, 2007).…”
Section: Event Study Approachmentioning
confidence: 99%
“…The event-study method enables us to estimate the effect that an event has on firms' securities (Fama et al, 1969;MacKinlay, 1997). However, traditional event studies only estimate abnormal returns of stocks around M&A announcements (Akhigbe & Madura, 2001;Alexandridis et al, 2017;Amihud et al, 2002;Balaban & Constantinou, 2006;Eckbo, 1983;Elyasiani et al, 2016;Goddard et al, 2012;Hankir et al, 2011;Houston & Ryngaert, 1994;Humphery-Jenner et al, 2017). Because the objective of this article is to analyze the effect of M&A announcements on the mean and variance of bank returns, we conduct a GARCH event study, which allows us to estimate the impact of M&A announcements on stocks' mean and variance of acquirer, target, and rival banks.…”
Section: Methodsmentioning
confidence: 99%
“…5 The cross-sectional test statistic, θ t is a refinement of the usual tstatistic which takes inter-temporal firm-specific heteroscedasticity 2 For a thorough discussion of the Savickas (2003) approach advantages see Babalan and Constantinou (2006). 3 Savickas (2003) provides evidence of misspecification of the traditional test (Brown-Warner) in the presence of event-induced volatility.…”
Section: The Standardized Cross-sectional Approachmentioning
confidence: 99%