IDEAS home Printed from https://ideas.repec.org/a/hur/ijaraf/v3y2013i3p118-124.html
   My bibliography  Save this article

A Comparative Evaluation of the Predictability of Fama-French Three-Factor Model and Chen Model in Explaining the Stock Returns of Tehran Stock Exchange

Author

Listed:
  • Hamid Reza Vakilifard

    () (Islamic Azad University)

  • Forough Heirany

    () (Islamic Azad University)

Abstract

Investors ought to select among different choices and various opportunities which are based on different characteristics and returns. The ultimate goal of most stakeholders, managers and other decision makers of the stock markets are acquiring expected return which is accompanied by risk. This is the reason for the necessity of the balance between risk and return. It is then required to design a model which can satisfactory predict the expected return. The present paper intends to use the two models of three-factor Fama-French and Chen model to contribute the decision makers in investigating the predictability of these two models for selecting the optimum expected return. The sample is composed of 52 listed firms on the Tehran Stock Exchange for the years of 2003 to 2010 which are selected by filtering technique. The gathered data is analyzed by applying multivariate regression method. The findings reveal that the Fama-French model has higher ability in predicting the expected stock return in the capital markets.

Suggested Citation

  • Hamid Reza Vakilifard & Forough Heirany, 2013. "A Comparative Evaluation of the Predictability of Fama-French Three-Factor Model and Chen Model in Explaining the Stock Returns of Tehran Stock Exchange," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 3(3), pages 118-124, July.
  • Handle: RePEc:hur:ijaraf:v:3:y:2013:i:3:p:118-124
    as

    Download full text from publisher

    File URL: http://hrmars.com/hrmars_papers/Article_14_A_Comparative_Evaluation_of_the_Predictability1.pdf
    Download Restriction: no

    File URL: http://hrmars.com/hrmars_papers/Article_14_A_Comparative_Evaluation_of_the_Predictability1.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Acharya, Viral V. & Pedersen, Lasse Heje, 2005. "Asset pricing with liquidity risk," Journal of Financial Economics, Elsevier, vol. 77(2), pages 375-410, August.
    2. Pastor, Lubos & Stambaugh, Robert F., 2003. "Liquidity Risk and Expected Stock Returns," Journal of Political Economy, University of Chicago Press, vol. 111(3), pages 642-685, June.
    3. Rahul Verma, 2011. "Testing forecasting power of the conditional relationship between beta and return," Journal of Risk Finance, Emerald Group Publishing, vol. 12(1), pages 69-77, January.
    4. Rajgopal, Shiva & Venkatachalam, Mohan, 2011. "Financial reporting quality and idiosyncratic return volatility," Journal of Accounting and Economics, Elsevier, vol. 51(1-2), pages 1-20, February.
    5. Marshall, Ben R. & Young, Martin, 2003. "Liquidity and stock returns in pure order-driven markets: evidence from the Australian stock market," International Review of Financial Analysis, Elsevier, vol. 12(2), pages 173-188.
    6. Rajgopal, Shiva & Venkatachalam, Mohan, 2011. "Financial reporting quality and idiosyncratic return volatility," Journal of Accounting and Economics, Elsevier, vol. 51(1), pages 1-20.
    7. Fama, Eugene F. & French, Kenneth R., 2006. "Profitability, investment and average returns," Journal of Financial Economics, Elsevier, vol. 82(3), pages 491-518, December.
    8. Jorgensen, Bjorn & Li, Jing & Sadka, Gil, 2012. "Earnings dispersion and aggregate stock returns," Journal of Accounting and Economics, Elsevier, vol. 53(1), pages 1-20.
    Full references (including those not matched with items on IDEAS)

    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:hur:ijaraf:v:3:y:2013:i:3:p:118-124. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Hassan Danial Aslam). General contact details of provider: http://hrmars.com/index.php/pages/detail/Accounting-Finance-Journal .

    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.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.