IDEAS home Printed from https://ideas.repec.org/p/sek/iacpro/2604423.html
   My bibliography  Save this paper

Testing Day-Of-The-Week Effect Asymmetry In Borsa Istanbul (Bist)

Author

Listed:
  • Serkan Erkam

    (Hacettepe University)

  • Ugur Ilker Erdogan

    (Turkish Statistical Institute)

Abstract

The aim of this study is to investigate a well-known calendar anomaly hypothesis, namely the day-of-the-week effect, in Borsa Istanbul (BIST). According to that hypothesis, in certain days of the week, stock returns show a regular pattern, particularly on Mondays returns are significantly negative and on Fridays returns are significantly positive, even in the stock markets of developed economies. Hence, this regular pattern presents a distinct challenge to the Efficient Market Hypothesis. For this purpose, a non-parametric multiple comparison test (Steel-Dwass Test) is employed on daily returns of BIST-100 Index, which covers one main and two sub-periods namely, (04.01.1998-27.03.2015), (04.01.1998 - 28.12.2001) and (02.01.2002 - 27.03.2015). The results indicate the existence of the day-of-the-week effect for the main period (04.01.1998-27.03.2015) and for the first sub-period (04.01.1998 - 28.12.2001). The contrary finding is valid for the second sub-period (02.01.2002 - 27.03.2015) and indicates a conclusion that the BIST is free from the day-of-the-week effect. This result could be attributed to the economic stabilization policies pursued in the Turkish economy aftermath of 2001 crisis.

Suggested Citation

  • Serkan Erkam & Ugur Ilker Erdogan, 2015. "Testing Day-Of-The-Week Effect Asymmetry In Borsa Istanbul (Bist)," Proceedings of International Academic Conferences 2604423, International Institute of Social and Economic Sciences.
  • Handle: RePEc:sek:iacpro:2604423
    as

    Download full text from publisher

    File URL: https://iises.net/proceedings/17th-international-academic-conference-vienna/table-of-content/detail?cid=26&iid=025&rid=4423
    File Function: First version, 2015
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Day-of-the-week effect; Efficient Market Hypothesis; Borsa Istanbul (BIST); Multiple Comparison Tests.;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:sek:iacpro:2604423. 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: Klara Cermakova (email available below). General contact details of provider: https://iises.net/ .

    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.