IDEAS home Printed from https://ideas.repec.org/a/bla/afrdev/v27y2015i3p262-273.html
   My bibliography  Save this article

How Relevant Is the Capital Asset Pricing Model (CAPM) for Tests of Market Efficiency on the Nigerian Stock Exchange?

Author

Listed:
  • Oghenovo A. Obrimah
  • Jacob Alabi
  • Blessing Ugo-Harry

Abstract

type="main" xml:lang="en"> We find an asset pricing model which consists of the market portfolio, the market skewness or co-skewness factors, and portfolio idiosyncratic volatility factor best explains portfolio risk-return trade-offs on the Nigerian Stock Exchange (NSE), indicating this model is appropriate for studies of semi-strong form efficiency of the Nigerian Stock Market. Our finding that an asset pricing model which consists of the market portfolio alone tends to consistently understate portfolio risk indicates this conventional one-factor specification of the CAPM is inappropriate for tests of the efficiency of the Nigerian Stock Market. With respect to the effects of non-synchronous trading of stocks on portfolio risk-return trade-offs, while the presence of non-synchronous trading induces greater diversification benefits for investors, we find it simultaneously results in a higher price for market risk; that is, higher levels of risk aversion. Our findings demonstrate preference for market skewness or co-skewness can be a risk mitigating response to anticipated adverse effects of changes in the risk of the market portfolio on portfolio returns.

Suggested Citation

  • Oghenovo A. Obrimah & Jacob Alabi & Blessing Ugo-Harry, 2015. "How Relevant Is the Capital Asset Pricing Model (CAPM) for Tests of Market Efficiency on the Nigerian Stock Exchange?," African Development Review, African Development Bank, vol. 27(3), pages 262-273, September.
  • Handle: RePEc:bla:afrdev:v:27:y:2015:i:3:p:262-273
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/
    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. Adedoyin Isola LAWAL & Ezekiel OSENI & Abiola John ASALEYE & Bukola LAWAL-ADEDOYIN & Rachael OJEKA-JOHN, 2021. "Is the Stock Market Efficient? Evidence from Nonlinear Unit Root Tests for Nigeria," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 11(5), pages 384-395, May.

    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:bla:afrdev:v:27:y:2015:i:3:p:262-273. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/afdbgci.html .

    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.