IDEAS home Printed from https://ideas.repec.org/a/rnd/arimbr/v2y2011i6id43.html

A Multifactor Model of Banking Industry Stock Returns: An Emerging Market Perspective

Author

Listed:
  • Saqib Muneer
  • Babar Zaheer Butt
  • Kashif Ur Rehman

Abstract

The purpose of this study is to examine the stock returns variation to specific macroeconomic and industry variables by applying multi-factor model. The firms of banking industry were selected for this study on the basis of data availability, profitability and performance on the Karachi Stock Exchange. The data for the selected firms and economic variables obtained for the period of 10 years. Descriptive statistics performed for the temporal properties and GARCH model was used to analyze the risk and return relationship. The tests were applied on the stock returns of each firm and on the data set of the entire industry to generalize the results. The results reveal that market return is largely accounts variation in stock returns, however the inclusion of other economic variables has added to the explanatory power of the model. It is also found that industry stock returns are more responsive to changes in economic conditions than firm level stock returns.

Suggested Citation

  • Saqib Muneer & Babar Zaheer Butt & Kashif Ur Rehman, 2011. "A Multifactor Model of Banking Industry Stock Returns: An Emerging Market Perspective," Information Management and Business Review, AMH International, vol. 2(6), pages 267-275, June.
  • Handle: RePEc:rnd:arimbr:v:2:y:2011:i:6:id:43
    DOI: 10.22610/imbr.v2i6.907
    as

    Download full text from publisher

    File URL: https://amhinternational.com/imbr/article/view/43-a-multifactor-model-of-banking-industry-stock-returns-an-emerging-market-perspective
    File Function: Abstract page
    Download Restriction: no

    File URL: https://amhinternational.com/imbr/article/download/43-a-multifactor-model-of-banking-industry-stock-returns-an-emerging-market-perspective/583875ae-ff74-46be-a8a9-b268b964e552
    File Function: Full text
    Download Restriction: no

    File URL: https://libkey.io/10.22610/imbr.v2i6.907?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
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:rnd:arimbr:v:2:y:2011:i:6:id:43. 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: AMH International (email available below). General contact details of provider: https://amhinternational.com/imbr .

    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.