IDEAS home Printed from https://ideas.repec.org/a/kap/rqfnac/v23y2004i1p19-30.html
   My bibliography  Save this article

The Day-of-the-Week and the Week-of-the-Month Effects: An Analysis of Investors' Trading Activities

Author

Listed:
  • Jorge Brusa
  • Pu Liu

Abstract

This study examines the positive Monday returns detected in the stock market during the 1988--1998 period and finds that (a) the positive Monday returns are concentrated in the first and the third weeks of the month, and (b) they are related to the increasing trading activities of institutional investors.

Suggested Citation

  • Jorge Brusa & Pu Liu, 2004. "The Day-of-the-Week and the Week-of-the-Month Effects: An Analysis of Investors' Trading Activities," Review of Quantitative Finance and Accounting, Springer, vol. 23(1), pages 19-30, July.
    • Handle: RePEc:kap:rqfnac:v:23:y:2004:i:1:p:19-30
    as

    Download full text from publisher

    File URL: http://journals.kluweronline.com/issn/0924-865X/contents
    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. Xiong, Xiong & Meng, Yongqiang & Li, Xiao & Shen, Dehua, 2019. "An empirical analysis of the Adaptive Market Hypothesis with calendar effects:Evidence from China," Finance Research Letters, Elsevier, vol. 31(C).
    2. Chhabra, Damini & Gupta, Mohit, 2022. "Calendar anomalies in commodity markets for natural resources: Evidence from India," Resources Policy, Elsevier, vol. 79(C).
    3. Gkillas, Konstantinos & Vortelinos, Dimitrios I. & Babalos, Vassilios & Wohar, Mark E., 2021. "Day-of-the-week effect and spread determinants: Some international evidence from equity markets," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 268-288.
    4. Richard Chung & Ali F. Darrat & Bin Li, 2014. "Superstitions and stock trading: some new evidence," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 19(4), pages 527-538, October.
    5. Urquhart, Andrew & McGroarty, Frank, 2014. "Calendar effects, market conditions and the Adaptive Market Hypothesis: Evidence from long-run U.S. data," International Review of Financial Analysis, Elsevier, vol. 35(C), pages 154-166.
    6. Levy, Tamir & Yagil, Joseph, 2012. "The week-of-the-year effect: Evidence from around the globe," Journal of Banking & Finance, Elsevier, vol. 36(7), pages 1963-1974.

    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:23:y:2004:i:1:p:19-30. 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.