IDEAS home Printed from https://ideas.repec.org/a/taf/hbhfxx/v18y2017i4p478-489.html
   My bibliography  Save this article

Herding, Faith-Based Investments and the Global Financial Crisis: Empirical Evidence From Static and Dynamic Models

Author

Listed:
  • Stavros Stavroyiannis
  • Vassilios Babalos

Abstract

The purpose for this article is to explore the existence of herding behavior in the context of Shariah-based ethical investments. To this end the authors have employed the highly liquid constituent stocks of the U.S. Dow Jones Islamic Index for the period January 2007 to December 2014. The methodology encompasses both static and dynamic models that capture potential time-varying patterns or asymmetric behavior of herding. Summarizing the results, the authors document significant antiherding behavior that is robust across different formulations and testing procedures. Most interestingly, they observe an asymmetric behavior of the antiherding phenomenon. Results from the dynamic analysis reveal that antiherding tends to be more intense during turbulent periods. The findings may entail useful implications for investors who wish to diversify their portfolios using faith-based investments.

Suggested Citation

  • Stavros Stavroyiannis & Vassilios Babalos, 2017. "Herding, Faith-Based Investments and the Global Financial Crisis: Empirical Evidence From Static and Dynamic Models," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 18(4), pages 478-489, October.
  • Handle: RePEc:taf:hbhfxx:v:18:y:2017:i:4:p:478-489
    DOI: 10.1080/15427560.2017.1365366
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/15427560.2017.1365366
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/15427560.2017.1365366?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

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

    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:taf:hbhfxx:v:18:y:2017:i:4:p:478-489. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/hbhf .

    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.