IDEAS home Printed from https://ideas.repec.org/a/rfa/aefjnl/v3y2016i3p50-64.html
   My bibliography  Save this article

A Modified Fama and French (1993) Three-factor Asset Pricing Model: Evidence from the UK Equity Market

Author

Listed:
  • Mohammad Q. M. AL-Momani

Abstract

The objective of this study is to examine the modified Fama and French (1993) three-factor asset pricing model, suggested by Cremers et al. (2012), in the UK equity market, over the period from October 1980 to June 2015. The article follows the correct Lewellen et al. (2010) framework for evaluating asset pricing models. In contrast to Michou et al. (2007) and Gregory et al. (2013), the results suggest the use of the modified Fama and French (1993) three-factor asset pricing model in practical applications that require the estimation of expected returns in the UK equity market. The results are robust using the same sample period in Gregory et al. (2013). Overall, the result suggests to follow the correct Lewellen et al. (2010) framework for evaluating asset pricing models in pricing the UK equity market returns.

Suggested Citation

  • Mohammad Q. M. AL-Momani, 2016. "A Modified Fama and French (1993) Three-factor Asset Pricing Model: Evidence from the UK Equity Market," Applied Economics and Finance, Redfame publishing, vol. 3(3), pages 50-64, August.
  • Handle: RePEc:rfa:aefjnl:v:3:y:2016:i:3:p:50-64
    as

    Download full text from publisher

    File URL: http://redfame.com/journal/index.php/aef/article/view/1463/1538
    Download Restriction: no

    File URL: http://redfame.com/journal/index.php/aef/article/view/1463
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Breeden, Douglas T., 1979. "An intertemporal asset pricing model with stochastic consumption and investment opportunities," Journal of Financial Economics, Elsevier, vol. 7(3), pages 265-296, September.
    2. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    3. Shanken, Jay & Zhou, Guofu, 2007. "Estimating and testing beta pricing models: Alternative methods and their performance in simulations," Journal of Financial Economics, Elsevier, vol. 84(1), pages 40-86, April.
    4. A. Al-Horani & P. F. Pope & A. W. Stark, 2003. "Research and Development Activity and Expected Returns in the United Kingdom," Review of Finance, European Finance Association, vol. 7(1), pages 27-46.
    5. Miles, David & Timmermann, Allan, 1996. "Variation in Expected Stock Returns: Evidence on the Pricing of Equities from a Cross-Section of UK Companies," Economica, London School of Economics and Political Science, vol. 63(251), pages 369-382, August.
    6. Shanken, Jay, 1992. "On the Estimation of Beta-Pricing Models," The Review of Financial Studies, Society for Financial Studies, vol. 5(1), pages 1-33.
    7. Lo, Andrew W & MacKinlay, A Craig, 1990. "Data-Snooping Biases in Tests of Financial Asset Pricing Models," The Review of Financial Studies, Society for Financial Studies, vol. 3(3), pages 431-467.
    8. William F. Sharpe, 1964. "Capital Asset Prices: A Theory Of Market Equilibrium Under Conditions Of Risk," Journal of Finance, American Finance Association, vol. 19(3), pages 425-442, September.
    9. Douglas T. BREEDEN, 2005. "An Intertemporal Asset Pricing Model With Stochastic Consumption And Investment Opportunities," World Scientific Book Chapters, in: Sudipto Bhattacharya & George M Constantinides (ed.), Theory Of Valuation, chapter 3, pages 53-96, World Scientific Publishing Co. Pte. Ltd..
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Han, Yufeng & Zhou, Guofu & Zhu, Yingzi, 2016. "A trend factor: Any economic gains from using information over investment horizons?," Journal of Financial Economics, Elsevier, vol. 122(2), pages 352-375.
    2. Shanken, Jay & Zhou, Guofu, 2007. "Estimating and testing beta pricing models: Alternative methods and their performance in simulations," Journal of Financial Economics, Elsevier, vol. 84(1), pages 40-86, April.
    3. Kim, Soohun & Skoulakis, Georgios, 2018. "Ex-post risk premia estimation and asset pricing tests using large cross sections: The regression-calibration approach," Journal of Econometrics, Elsevier, vol. 204(2), pages 159-188.
    4. repec:gnv:wpaper:unige:76321 is not listed on IDEAS
    5. Joel M. Vanden, 2021. "Equilibrium asset pricing and the cross section of expected returns," Annals of Finance, Springer, vol. 17(2), pages 153-186, June.
    6. Wayne E. Ferson & Ravi Jagannathan, 1996. "Econometric evaluation of asset pricing models," Staff Report 206, Federal Reserve Bank of Minneapolis.
    7. Patrick Gagliardini & Elisa Ossola & Olivier Scaillet, 2016. "Time‐Varying Risk Premium in Large Cross‐Sectional Equity Data Sets," Econometrica, Econometric Society, vol. 84, pages 985-1046, May.
    8. Maio, Paulo & Santa-Clara, Pedro, 2012. "Multifactor models and their consistency with the ICAPM," Journal of Financial Economics, Elsevier, vol. 106(3), pages 586-613.
    9. Li Gu & Dayong Huang, 2013. "Consumption, Money, Intratemporal Substitution, And Cross-Sectional Asset Returns," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 36(1), pages 115-146, January.
    10. Fletcher, Jonathan, 2018. "Betas V characteristics: Do stock characteristics enhance the investment opportunity set in U.K. stock returns?," The North American Journal of Economics and Finance, Elsevier, vol. 46(C), pages 114-129.
    11. Amit Goyal, 2012. "Empirical cross-sectional asset pricing: a survey," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 26(1), pages 3-38, March.
    12. Paul P.J. Gao & Kevin X.D. Huang, 2008. "Aggregate Consumption-Wealth Ratio and the Cross-Section of Stock Returns: Some International Evidence," Annals of Economics and Finance, Society for AEF, vol. 9(1), pages 1-37, May.
    13. Jagannathan, Ravi & Kubota, Keiichi & Takehara, Hitoshi, 1998. "Relationship between Labor-Income Risk and Average Return: Empirical Evidence from the Japanese Stock Market," The Journal of Business, University of Chicago Press, vol. 71(3), pages 319-347, July.
    14. Kim, Dongcheol & Kim, Tong Suk & Min, Byoung-Kyu, 2011. "Future labor income growth and the cross-section of equity returns," Journal of Banking & Finance, Elsevier, vol. 35(1), pages 67-81, January.
    15. Ferson, Wayne E & Korajczyk, Robert A, 1995. "Do Arbitrage Pricing Models Explain the Predictability of Stock Returns?," The Journal of Business, University of Chicago Press, vol. 68(3), pages 309-349, July.
    16. Kerstin Bernoth & Jürgen von Hagen & Casper G. de Vries, 2020. "Currency Futures' Risk Premia and Risk Factors," Discussion Papers of DIW Berlin 1866, DIW Berlin, German Institute for Economic Research.
    17. Zhang, Han, 2021. "An inflation-based ICAPM in China," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
    18. Daskalaki, Charoula & Kostakis, Alexandros & Skiadopoulos, George, 2014. "Are there common factors in individual commodity futures returns?," Journal of Banking & Finance, Elsevier, vol. 40(C), pages 346-363.
    19. Velu, Raja & Zhou, Guofu, 1999. "Testing multi-beta asset pricing models," Journal of Empirical Finance, Elsevier, vol. 6(3), pages 219-241, September.
    20. Grauer, Robert R. & Janmaat, Johannus A., 2009. "On the power of cross-sectional and multivariate tests of the CAPM," Journal of Banking & Finance, Elsevier, vol. 33(5), pages 775-787, May.
    21. Yao, Wenjing & Mei, Bin, 2015. "Assessing forestry-related assets with the intertemporal capital asset pricing model," Forest Policy and Economics, Elsevier, vol. 50(C), pages 192-199.

    More about this item

    Keywords

    Asset pricing; Modified Fama and French(1993)three-factor model; Cross-sectional; UK;
    All these keywords.

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    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:rfa:aefjnl:v:3:y:2016:i:3:p:50-64. 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.

    If CitEc recognized a bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Redfame publishing (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.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.