Detecting cumulative abnormal volume: a comparison of event study methods

References

• Ajinkya , B. B. and Jain , P. C. 1989 . The behavior of daily stock market trading volume . Journal of Accounting and Economics , 11 : 331 – 59 .
   Google Scholar
• Binder , J. J. 1998 . The event study methodology since 1969 . Review of Quantitative Finance and Accounting , 11 : 111 – 37 .
   Google Scholar
• Boehmer , E. , Musumeci , J. and Poulsen , A. B. 1991 . Event-study methodology under conditions of event-induced variance . Journal of Financial Economics , 30 : 253 – 72 .
   Google Scholar
• Brown , S. J. and Warner , J. B. 1985 . Using daily stock returns: the case of event studies . Journal of Financial Economics , 14 : 3 – 31 .
   Google Scholar
• Campbell , C. J. and Wasley , C. 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 , 6 : 309 – 26 .
   Google Scholar
• Chae , J. 2005 . Trading volume, information asymmetry, and timing information . Journal of Finance , 60 : 413 – 42 .
   Google Scholar
• Collins , D. W. and Dent , W. T. 1984 . A comparison of alternative testing methodologies used in capital market research . Journal of Accounting Research , 22 : 48 – 84 .
   Google Scholar
• Cready , W. M. and Ramanan , R. 1991 . The power of tests employing log-transformed volume in detecting abnormal trading . Journal of Accounting and Economics , 14 : 203 – 14 .
   Google Scholar
• Greene , W. H. 2003 . Econometric Analysis , 4th , Prentice Hall, NJ : Upper Saddle River .
   Google Scholar
• Harrington , S. E. and Shrider , D. G. 2007 . All events induce variance: analyzing abnormal returns when effects vary across firms . Journal of Financial and Quantitative Analysis , 42 : 229 – 56 .
   Google Scholar
• Judge , G. G. , Griffiths , W. E. , Hill , R. C. , Lütkepohl , H. and Lee , T. C. 1985 . The Theory and Practice of Econometrics , 2nd , New York : John Wiley & Sons .
   Google Scholar
• Karafiath , I. 1994 . On the efficiency of least squares regression with security abnormal returns as the dependent variable . Journal of Financial & Quantitative Analysis , 29 : 279 – 300 .
   Google Scholar
• Karafiath , I. 2009 . Is there a viable alternative to ordinary least squares when security abnormal returns are the dependent variable? . Review of Quantitative Finance and Accounting , 3 : 2
   Google Scholar
• Mikkelson , W. H. and Megan Partch , M. 1988 . Withdrawn security offerings . Journal of Financial and Quantitative Analysis , 23 : 119 – 34 .
   Google Scholar
• Pesaran , M. H. 1973 . Exact maximum likelihood estimation of a regression equation with a first-order moving average error . Review of Economic Studies , 40 : 529 – 36 .
   Google Scholar
• Richardson , G. , Sefcik , S. E. and Thompson , R. 1986 . A test of dividend irrelevance using volume reactions to a change in dividend policy . Journal of Financial Economics , 17 : 313 – 33 .
   Google Scholar
• Sanders Jr , R. W. and Robins , R. P. 1991 . Discriminating between wealth and information effects in event studies in accounting and finance research . Review of Quantitative Finance and Accounting , 1 : 307 – 30 .
   Google Scholar
• Tkac , P. A. 1999 . A trading volume benchmark: theory and evidence . Journal of Financial and Quantitative Analysis , 34 : 89 – 114 .
   Google Scholar