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A Comparison of the Power of Parametric and Nonparametric Tests of Location Shift for Event Studies

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  • Chandra, Ramesh
  • Rohrbach, Kermit
  • Willinger, G Lee

Abstract

This paper distinguishes between testing approach (parametric t, sign, cross-sectional rank, and longitudinal rank) and test type (conventional, standardized, and weighted least squares). Similar tests (i.e., tests of the same type) are compared for each testing approach using constant and unequal shift models. Thus the results given here are free of confounding effects present in prior comparisons of dissimilar tests. While all the tests compared are sensitive to the underlying location shift model, if the shift is independent of the security standard deviation, then the weighted least squares longitudinal rank test is most powerful. Copyright 1995 by MIT Press.

Suggested Citation

  • Chandra, Ramesh & Rohrbach, Kermit & Willinger, G Lee, 1995. "A Comparison of the Power of Parametric and Nonparametric Tests of Location Shift for Event Studies," The Financial Review, Eastern Finance Association, vol. 30(4), pages 685-710, November.
    • Handle: RePEc:bla:finrev:v:30:y:1995:i:4:p:685-710
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    Cited by:

    1. Jeetendra Dangol, 2008. "Unanticipated Political Events and Stock Returns: An Event Study," NRB Economic Review, Nepal Rastra Bank, Research Department, vol. 20, pages 86-110, April.
    2. Chi, Li-Chiu & Tang, Tseng-Chung, 2007. "Impact of reorganization announcements on distressed-stock returns," Economic Modelling, Elsevier, vol. 24(5), pages 749-767, September.

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