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Measuring Abnormal Daily Trading Volume for Samples of NYSE/ASE and NASDAQ Securities Using Parametric and Nonparametric Test Statistics


  • Campbell, Cynthia J
  • Wasley, Charles E


We extend prior research on the empirical properties of daily trading volume and methods to detect abnormal trading volume in two ways. We compare the performance of a nonparametric test statistic with the parametric test statistic used in prior research and we study samples of NASDAQ securities as well as samples of NYSE/ASE securities. Prior research has focused exclusively on NYSE securities. We find the nonparametric test statistic is more powerful in detecting abnormal trading volume than the parametric test statistic in both samples of NYSE/ASE and NASDAQ securities. We also document that abnormal trading volume will be detected more often in samples of NYSE/ASE securities compared to NASDAQ securities. Copyright 1996 by Kluwer Academic Publishers

Suggested Citation

  • 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.
  • Handle: RePEc:kap:rqfnac:v:6:y:1996:i:3:p:309-26

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