IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-05303079.html
   My bibliography  Save this paper

Testing the Fama-French Three-factor Model for Banking Stocks in the Indian Stock Market Using Panel Regression Analysis

Author

Listed:
  • Mihir Dash

    (Department of Quantitative Methods, School of Business, Alliance University, Chikkahagade Cross, Anekal Road, Anekal, Bangalore - 562106, India.)

Abstract

The Fama-French three-factor model is one of the most important models in asset pricing theory, extending the CAPM by incorporating the size and book-to-market (BTM) effects. Several studies have shown that the three-factor model has significantly greater explanatory power over the CAPM. The present study contributes to the literature by proposing fixed-effects panel regression analysis of stock performance on beta, log of total assets and the book-to-market ratio, controlling for stock-specific and period-specific effects as an alternative to the classic Fama-French methodology, which involves the comparison of the rates of return of a portfolio consisting of high BTM stocks with a portfolio consisting of low BTM stocks and the comparison of the rates of return of a portfolio consisting of small firm stocks with a portfolio consisting of large firm stocks. The study examines the three-factor model using a sample of nine large-cap stocks from the banking industry in the National Stock Exchange (NSE) of India, over the study period 01/04/2008 - 31/03/2016. The results of the study indicate significant negative impact of the BTM ratio on mean returns, and no significant beta and size effects. These results are quite different from most of the previous studies in the literature, which assert that stocks with high BTM ratio tend to have higher returns than stocks with low BTM ratio; however, the results of the study do conform partially with the literature of the three-factor model, in that it was generally found the BTM factor to be dominant over the beta and size factors.

Suggested Citation

  • Mihir Dash, 2019. "Testing the Fama-French Three-factor Model for Banking Stocks in the Indian Stock Market Using Panel Regression Analysis," Post-Print hal-05303079, HAL.
  • Handle: RePEc:hal:journl:hal-05303079
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    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:hal:journl:hal-05303079. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.