IDEAS home Printed from https://ideas.repec.org/p/hhb/aarbfi/2006-03.html
   My bibliography  Save this paper

Conducting event studies on a small stock exchange

Author

Listed:
  • Bartholdy, Jan

    () (Department of Business Studies)

  • Olson, Dennis

    () (American University of Sharjah)

  • Peare, Paula

    () (Department of Business Studies)

Abstract

This paper analyses whether it is possible to perform an event study on a small stock exchange with thinly trade stocks. The main conclusion is that event studies can be performed provided that certain adjustments are made. First, a minimum of 25 events appears necessary to obtain acceptable size and power in statistical tests. Second, trade to trade returns should be used. Third, one should not expect to consistently detect abnormal performance of less than about 1% (or perhaps even 2%), unless the sample contains primarily thickly traded stocks. Fourth, nonparametric tests are generally preferable to parametric tests of abnormal performance. Fifth, researchers should present separate results for thickly and thinly traded stock groups. Finally, when nonnormality, event induced variance, unknown event day, and problems of very thin trading are all considered simultaneously, no one test statistic or type of test statistic dominates the others

Suggested Citation

  • Bartholdy, Jan & Olson, Dennis & Peare, Paula, 2006. "Conducting event studies on a small stock exchange," Finance Research Group Working Papers F-2006-03, University of Aarhus, Aarhus School of Business, Department of Business Studies.
  • Handle: RePEc:hhb:aarbfi:2006-03
    as

    Download full text from publisher

    File URL: http://www.hha.dk/bs/wp/fin/F_2006_03.pdf
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Maynes, Elizabeth & Rumsey, John, 1993. "Conducting event studies with thinly traded stocks," Journal of Banking & Finance, Elsevier, vol. 17(1), pages 145-157, February.
    2. Salinger, Michael, 1992. "Standard Errors in Event Studies," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 27(01), pages 39-53, March.
    3. Corrado, Charles J., 1989. "A nonparametric test for abnormal security-price performance in event studies," Journal of Financial Economics, Elsevier, vol. 23(2), pages 385-395, August.
    4. Heinkel, Robert & Kraus, Alan, 1988. "Measuring Event Impacts in Thinly Traded Stocks," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 23(01), pages 71-88, March.
    5. Boehmer, Ekkehart & Masumeci, Jim & Poulsen, Annette B., 1991. "Event-study methodology under conditions of event-induced variance," Journal of Financial Economics, Elsevier, vol. 30(2), pages 253-272, December.
    6. Fama, Eugene F, et al, 1969. "The Adjustment of Stock Prices to New Information," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 10(1), pages 1-21, February.
    7. Brown, Stephen J. & Warner, Jerold B., 1985. "Using daily stock returns : The case of event studies," Journal of Financial Economics, Elsevier, vol. 14(1), pages 3-31, March.
    8. Corrado, Charles J. & Zivney, Terry L., 1992. "The Specification and Power of the Sign Test in Event Study Hypothesis Tests Using Daily Stock Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 27(03), pages 465-478, September.
    9. Campbell, Cynthia J. & Wesley, Charles E., 1993. "Measuring security price performance using daily NASDAQ returns," Journal of Financial Economics, Elsevier, vol. 33(1), pages 73-92, February.
    10. Brown, Stephen J. & Warner, Jerold B., 1980. "Measuring security price performance," Journal of Financial Economics, Elsevier, vol. 8(3), pages 205-258, September.
    11. John D. Lyon & Brad M. Barber & Chih-Ling Tsai, 1999. "Improved Methods for Tests of Long-Run Abnormal Stock Returns," Journal of Finance, American Finance Association, vol. 54(1), pages 165-201, February.
    12. Bartholdy, Jan & Riding, Allan, 1994. "Thin Trading and the Estimation of Betas: The Efficacy of Alternative Techniques," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 17(2), pages 241-254, Summer.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Event studies; Thin trading;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hhb:aarbfi:2006-03. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Helle Vinbaek Stenholt). General contact details of provider: http://edirc.repec.org/data/ifhhadk.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.