IDEAS home Printed from https://ideas.repec.org/a/kap/rqfnac/v14y2000i1p45-65.html
   My bibliography  Save this article

Detecting Abnormal Bid-Ask Spread: A Comparison of Event Study Methods

Author

Listed:
  • Affleck-Graves, John
  • Callahan, Carolyn M
  • Ramanan, Ramachandran

Abstract

This study examines empirical issues associated with the use of bid-ask spreads in event studies. The simulation results indicate that the distribution of average standardized abnormal spread shows little deviation from normality. Simulation results also indicate that the widely used percent spread metric results in test statistics with low power. In contrast, use of a standardized raw spread metric and a simple mean-adjusted expectation model results in well specified and reasonably powerful Patell and Brown-Warner type test statistics. As the abnormal spread series is characterized by high first order serial correlation, it is important to adjust for this serial correlation when using multi-day event windows. Copyright 2000 by Kluwer Academic Publishers

Suggested Citation

  • Affleck-Graves, John & Callahan, Carolyn M & Ramanan, Ramachandran, 2000. "Detecting Abnormal Bid-Ask Spread: A Comparison of Event Study Methods," Review of Quantitative Finance and Accounting, Springer, vol. 14(1), pages 45-65, January.
  • Handle: RePEc:kap:rqfnac:v:14:y:2000:i:1:p:45-65
    as

    Download full text from publisher

    File URL: http://journals.kluweronline.com/issn/0924-865X/contents
    File Function: link to full text
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Devos, Erik & Hao, Wei & Prevost, Andrew K. & Wongchoti, Udomsak, 2015. "Stock return synchronicity and the market response to analyst recommendation revisions," Journal of Banking & Finance, Elsevier, vol. 58(C), pages 376-389.
    2. Rosati, Pierangelo & Cummins, Mark & Deeney, Peter & Gogolin, Fabian & van der Werff, Lisa & Lynn, Theo, 2017. "The effect of data breach announcements beyond the stock price: Empirical evidence on market activity," International Review of Financial Analysis, Elsevier, vol. 49(C), pages 146-154.
    3. Corrado, Charles J. & Truong, Cameron, 2008. "Conducting event studies with Asia-Pacific security market data," Pacific-Basin Finance Journal, Elsevier, vol. 16(5), pages 493-521, November.
    4. Alexis Cellier & Pierre Chollet & Jean†François Gajewski, 2016. "Do Investors Trade around Social Rating Announcements?," European Financial Management, European Financial Management Association, vol. 22(3), pages 484-515, June.
    5. Sabet, Amir H. & Heaney, Richard, 2015. "Bid-ask spread, information asymmetry and acquisition of oil and gas assets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 37(C), pages 77-84.
    6. Chun-Teck Lye & Tuan-Hock Ng & Kwee-Pheng Lim & Chin-Yee Gan, 2020. "Investor protection and market reaction to unusual market activity replies," International Journal of Emerging Markets, Emerald Group Publishing Limited, vol. 16(8), pages 2034-2069, July.

    More about this item

    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:kap:rqfnac:v:14:y:2000:i:1:p:45-65. See general information about how to correct material in RePEc.

    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.

    We have no bibliographic references for this item. You can help adding them by using 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://springer.com .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.