IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v51y2019i58p6264-6279.html
   My bibliography  Save this article

Extreme returns and the idiosyncratic volatility puzzle: African evidence

Author

Listed:
  • Ji Wu
  • Eze Peter Chimezie
  • Gilbert V. Nartea
  • Jing Zhang

Abstract

We examine the cross-sectional relationship between the expected stock return and both the maximum daily return (MAX) and the idiosyncratic volatility (IVOL) in the five largest emerging African stock markets over the period from 2001 to 2015. First, we find that there is a robust and significantly negative MAX effect in the pooled African stock markets. Second, though we initially document a negative IVOL effect, it disappears after controlling for MAX. Finally, the negative MAX effect is only significant in the small-SIZE, high-illiquidity and high-skewness portfolios. Our results suggest risk-seeking behaviour among African investors similar to that in other parts of the world.

Suggested Citation

  • Ji Wu & Eze Peter Chimezie & Gilbert V. Nartea & Jing Zhang, 2019. "Extreme returns and the idiosyncratic volatility puzzle: African evidence," Applied Economics, Taylor & Francis Journals, vol. 51(58), pages 6264-6279, December.
  • Handle: RePEc:taf:applec:v:51:y:2019:i:58:p:6264-6279
    DOI: 10.1080/00036846.2019.1631442
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00036846.2019.1631442
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00036846.2019.1631442?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.

    Citations

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


    Cited by:

    1. Ali, Syed Riaz Mahmood & Hasan, Mohammad Nurul & Östermark, Ralf, 2020. "Are idiosyncratic risk and extreme positive return priced in the Indian equity market?," International Review of Economics & Finance, Elsevier, vol. 70(C), pages 530-545.
    2. Adeabah, David & Abakah, Emmanuel Joel Aikins & Tiwari, Aviral Kumar & Hammoudeh, Shawkat, 2023. "How far have we come and where should we go after 30+ years of research on Africa's emerging financial markets? A systematic review and a bibliometric network analysis," Emerging Markets Review, Elsevier, vol. 55(C).

    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:applec:v:51:y:2019:i:58:p:6264-6279. 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/RAEC20 .

    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.