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On the Use of the Log CAR Measure in Event Studies

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  • Gishan Dissanaike
  • Alexandre Le Fur

Abstract

Cross‐sectional averages of log returns have been used to measure shareholder wealth effects in several event studies. No adequate explanation of the implied portfolio strategy has ever been provided in the literature. We argue that the method is biased or does not portray a realistic portfolio strategy. It should therefore be used with caution in the event‐study' literature.

Suggested Citation

  • Gishan Dissanaike & Alexandre Le Fur, 2003. "On the Use of the Log CAR Measure in Event Studies," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 30(7‐8), pages 1165-1170, September.
    • Handle: RePEc:bla:jbfnac:v:30:y:2003:i:7-8:p:1165-1170
    DOI: 10.1111/1468-5957.05487
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    References listed on IDEAS

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    1. Dissanaike, Gishan, 1994. "On the computation of returns in tests of the stock market overreaction hypothesis," Journal of Banking & Finance, Elsevier, vol. 18(6), pages 1083-1094, December.
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    7. Zamri Ahmad & Simon Hussain, 2001. "KLSE Long Run Overreaction and the Chinese New-Year Effect," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 28(1-2), pages 63-105.
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    Cited by:

    1. Hudson, Robert S. & Gregoriou, Andros, 2015. "Calculating and comparing security returns is harder than you think: A comparison between logarithmic and simple returns," International Review of Financial Analysis, Elsevier, vol. 38(C), pages 151-162.
    2. Sebastian Dickgiesser & Christoph Kaserer, 2010. "Market Efficiency Reloaded: Why Insider Trades do not Reveal Exploitable Information," German Economic Review, Verein für Socialpolitik, vol. 11(3), pages 302-335, August.
    3. Elango, B. & Dhandapani, Karthik & Giachetti, Claudio, 2019. "Impact of institutional reforms and industry structural factors on market returns of emerging market rivals during acquisitions by foreign firms," International Business Review, Elsevier, vol. 28(5), pages 1-1.

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