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Testing The Validity Of Fama French Five Factor Asset Pricing Model: Evidence From Turkey

Author

Listed:
  • ZEREN, Feyyaz

    (Department of International Trade and Finance, Yalova University, Turkey.)

  • YILMAZ, Tayfun

    (Department of Business Administration, Mehmet Akif Ersoy University, Turkey.)

  • BELKE, Murat

    (Department of Economics, Mehmet Akif Ersoy University, Turkey.)

Abstract

Fama and French introduced a five-Factor Asset Pricing Model (FF5), adding a new perspective to asset pricing models in the literature in 2015. The aim of this paper is to investigate the validity of Fama French (2015) Five Factor Asset Pricing Model for 18 companies whose shares are listed in Istanbul Stock Market Sustainability Index. According to obtained findings, the coefficient of the profitability factor, from the new variables added to the three-factor model to build the FF5 asset pricing model, was positive and statistically significant, whereas the coefficient of investment factor was not statistically significant. As a result of the study covering 1995Q1-2017Q3 period, there was not enough evidence that the FF5 Model was valid for Istanbul Stock Market Sustainability Index. In this context, the model will not be beneficial for investors in the estimation of the returns of the companies in the Istanbul Stock Market Sustainability Index. Classification-JEL: C23, G12

Suggested Citation

  • ZEREN, Feyyaz & YILMAZ, Tayfun & BELKE, Murat, 2019. "Testing The Validity Of Fama French Five Factor Asset Pricing Model: Evidence From Turkey," Studii Financiare (Financial Studies), Centre of Financial and Monetary Research "Victor Slavescu", vol. 23(2), pages 97-113, June.
    • Handle: RePEc:vls:finstu:v:23:y:2019:i:2:p:97-113
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    References listed on IDEAS

    as
    1. Fama, Eugene F & French, Kenneth R, 1992. "The Cross-Section of Expected Stock Returns," Journal of Finance, American Finance Association, vol. 47(2), pages 427-465, June.
    2. repec:bla:obuest:v:64:y:2002:i:5:p:527-46 is not listed on IDEAS
    3. Wenting Jiao & Lilti Jean-Jacques, 2017. "Whether profitability and investment factors have additional explanatory power compared with Fama-French three-factor model: Empirical evidence on Chinese A-share stock market," China Finance and Economic Review, De Gruyter, vol. 6(2), pages 3-22, June.
    4. Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
    5. Harris, Richard D. F. & Tzavalis, Elias, 1999. "Inference for unit roots in dynamic panels where the time dimension is fixed," Journal of Econometrics, Elsevier, vol. 91(2), pages 201-226, August.
    6. Moon, H.R.Hyungsik Roger & Perron, Benoit, 2004. "Testing for a unit root in panels with dynamic factors," Journal of Econometrics, Elsevier, vol. 122(1), pages 81-126, September.
    7. Kaddour Hadri, 2000. "Testing for stationarity in heterogeneous panel data," Econometrics Journal, Royal Economic Society, vol. 3(2), pages 148-161.
    8. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    9. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    10. Wenting Jiao & Jean-Jacques Lilti, 2017. "Whether profitability and investment factors have additional explanatory power comparing with Fama-French Three-Factor Model: empirical evidence on Chinese A-share stock market," China Finance and Economic Review, Springer, vol. 5(1), pages 1-19, December.
    11. Peter C. B. Phillips & Donggyu Sul, 2003. "Dynamic panel estimation and homogeneity testing under cross section dependence *," Econometrics Journal, Royal Economic Society, vol. 6(1), pages 217-259, June.
    12. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    13. Taylor, Mark P. & Sarno, Lucio, 1998. "The behavior of real exchange rates during the post-Bretton Woods period," Journal of International Economics, Elsevier, vol. 46(2), pages 281-312, December.
    14. Janice Boucher Breuer & Robert McNown & Myles Wallace, 2002. "Series‐specific Unit Root Tests with Panel Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 64(5), pages 527-546, December.
    15. John C. Driscoll & Aart C. Kraay, 1998. "Consistent Covariance Matrix Estimation With Spatially Dependent Panel Data," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 549-560, November.
    16. Bai, Jushan & Ng, Serena, 2010. "Panel Unit Root Tests With Cross-Section Dependence: A Further Investigation," Econometric Theory, Cambridge University Press, vol. 26(4), pages 1088-1114, August.
    17. Fama, Eugene F & French, Kenneth R, 1996. "Multifactor Explanations of Asset Pricing Anomalies," Journal of Finance, American Finance Association, vol. 51(1), pages 55-84, March.
    18. G. S. Maddala & Shaowen Wu, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 631-652, November.
    19. Guo, Bin & Zhang, Wei & Zhang, Yongjie & Zhang, Han, 2017. "The five-factor asset pricing model tests for the Chinese stock market," Pacific-Basin Finance Journal, Elsevier, vol. 43(C), pages 84-106.
    20. Mardy Chiah & Daniel Chai & Angel Zhong & Song Li, 2016. "A Better Model? An Empirical Investigation of the Fama–French Five-factor Model in Australia," International Review of Finance, International Review of Finance Ltd., vol. 16(4), pages 595-638, December.
    21. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    22. François-Eric Racicot & William F. Rentz, 2017. "A panel data robust instrumental variable approach: a test of the new Fama-French five-factor model," Applied Economics Letters, Taylor & Francis Journals, vol. 24(6), pages 410-416, March.
    23. repec:bla:obuest:v:61:y:1999:i:0:p:631-52 is not listed on IDEAS
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    More about this item

    Keywords

    Fama French; Five-Factor Model; asset pricing; Istanbul Stock Market Sustainability Index;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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