IDEAS home Printed from https://ideas.repec.org/a/mes/emfitr/v49y2013i5p99-119.html
   My bibliography  Save this article

Return Predictability of Turkish Stocks: An Empirical Investigation

Author

Listed:
  • Nusret Cakici
  • Kudret Topyan

Abstract

Employing the portfolio method and cross-sectional regressions, this paper provides a comprehensive analysis of stock return predictability in Turkey from January 1997 to July 2011. In the risk-related predictors, we found predictive power for beta, total volatility, and idiosyncratic volatility. The "cheapness" variable, book-to-market ratio, is the most important return predictor for the stocks traded on the Istanbul Stock Exchange (now part of the Borsa Istanbul). Grouping the stocks as small and large according to the median value of the market capitalization of the stocks adds important insights to the analysis. Our results show the set of large stocks on the Istanbul Stock Exchange to be the least predictable set of stocks.

Suggested Citation

  • Nusret Cakici & Kudret Topyan, 2013. "Return Predictability of Turkish Stocks: An Empirical Investigation," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 49(5), pages 99-119, September.
  • Handle: RePEc:mes:emfitr:v:49:y:2013:i:5:p:99-119
    as

    Download full text from publisher

    File URL: http://mesharpe.metapress.com/link.asp?target=contribution&id=3872N5L975554431
    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.

    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:mes:emfitr:v:49:y:2013:i:5:p:99-119. 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/MREE20 .

    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.