IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v41y2021ics1544612320316627.html
   My bibliography  Save this article

The examination of Fama-French Model during the Covid-19

Author

Listed:
  • Horváth, Dominik
  • Wang, Yung-Lin

Abstract

This paper evaluates the performance of Fama-French models on US stock markets during the selected events by studying the R2 of the models. We find that the influence of Dotcom bubble to the R2 of growth model is statistically significant. The R2 of growth portfolios decreases rapidly during the Financial crisis of 2008. The latest Covid-19 outbreak drop has led to a substantial in the R2 during this event. Furthermore, we find that all of the beta model parameters are insignificant in the GMM model.

Suggested Citation

  • Horváth, Dominik & Wang, Yung-Lin, 2021. "The examination of Fama-French Model during the Covid-19," Finance Research Letters, Elsevier, vol. 41(C).
    • Handle: RePEc:eee:finlet:v:41:y:2021:i:c:s1544612320316627
    DOI: 10.1016/j.frl.2020.101848
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612320316627
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.frl.2020.101848?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Fama, Eugene F. & French, Kenneth R., 2017. "International tests of a five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 123(3), pages 441-463.
    2. Diebold, Francis X. & Yılmaz, Kamil, 2014. "On the network topology of variance decompositions: Measuring the connectedness of financial firms," Journal of Econometrics, Elsevier, vol. 182(1), pages 119-134.
    3. Eric Ghysels, 1998. "On Stable Factor Structures in the Pricing of Risk: Do Time-Varying Betas Help or Hurt?," Journal of Finance, American Finance Association, vol. 53(2), pages 549-573, April.
    4. Newey, Whitney K & West, Kenneth D, 1987. "Hypothesis Testing with Efficient Method of Moments Estimation," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 28(3), pages 777-787, October.
    5. Choudhry, Taufiq & Lu, Lin & Peng, Ke, 2010. "Time-varying beta and the Asian financial crisis: Evidence from the Asian industrial sectors," Japan and the World Economy, Elsevier, vol. 22(4), pages 228-234, December.
    6. Fabozzi, Frank J. & Francis, Jack Clark, 1978. "Beta as a Random Coefficient," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 13(1), pages 101-116, March.
    7. Merton H. Miller & Franco Modigliani, 1961. "Dividend Policy, Growth, and the Valuation of Shares," The Journal of Business, University of Chicago Press, vol. 34, pages 411-411.
    8. Pal, Manoranjan, 1980. "Consistent moment estimators of regression coefficients in the presence of errors in variables," Journal of Econometrics, Elsevier, vol. 14(3), pages 349-364, December.
    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. Granger Clive W.J., 2008. "Non-Linear Models: Where Do We Go Next - Time Varying Parameter Models?," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 12(3), pages 1-11, September.
    11. Eugene F. Fama & Kenneth R. French, 2016. "Dissecting Anomalies with a Five-Factor Model," Review of Financial Studies, Society for Financial Studies, vol. 29(1), pages 69-103.
    12. François-Éric Racicot & William F Rentz & David Tessier & Raymond Théoret, 2019. "The conditional Fama-French model and endogenous illiquidity: A robust instrumental variables test," PLOS ONE, Public Library of Science, vol. 14(9), pages 1-26, September.
    13. Bos, T & Newbold, P, 1984. "An Empirical Investigation of the Possibility of Stochastic Systematic Risk in the Market Model," The Journal of Business, University of Chicago Press, vol. 57(1), pages 35-41, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Iyer, Subramanian Rama & Simkins, Betty J., 2022. "COVID-19 and the Economy: Summary of research and future directions," Finance Research Letters, Elsevier, vol. 47(PB).
    2. Hasan, Md. Tanvir, 2022. "The sum of all SCARES COVID-19 sentiment and asset return," The Quarterly Review of Economics and Finance, Elsevier, vol. 86(C), pages 332-346.

    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. François-Éric Racicot & William F Rentz & David Tessier & Raymond Théoret, 2019. "The conditional Fama-French model and endogenous illiquidity: A robust instrumental variables test," PLOS ONE, Public Library of Science, vol. 14(9), pages 1-26, September.
    2. Berggrun, Luis & Cardona, Emilio & Lizarzaburu, Edmundo, 2020. "Firm profitability and expected stock returns: Evidence from Latin America," Research in International Business and Finance, Elsevier, vol. 51(C).
    3. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2013. "Time-varying beta: a boundedly rational equilibrium approach," Journal of Evolutionary Economics, Springer, vol. 23(3), pages 609-639, July.
    4. Stefano D'Addona & Mattia Ciprian, 2007. "Time Varying Sensitivities On A Grid Architecture," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 10(02), pages 307-329.
    5. Wahal, Sunil, 2019. "The profitability and investment premium: Pre-1963 evidence," Journal of Financial Economics, Elsevier, vol. 131(2), pages 362-377.
    6. Smith, Daniel R., 2007. "Conditional coskewness and asset pricing," Journal of Empirical Finance, Elsevier, vol. 14(1), pages 91-119, January.
    7. Smales, Lee A., 2015. "Time-variation in the impact of news sentiment," International Review of Financial Analysis, Elsevier, vol. 37(C), pages 40-50.
    8. Shi, Huai-Long & Zhou, Wei-Xing, 2022. "Factor volatility spillover and its implications on factor premia," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    9. Yu Wang & Haicheng Shu, 2019. "Evaluating the Performance of Factor Pricing Models for Different Stock Market Trends: Evidence from China," Working Papers 2019-10-10, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    10. François-Éric Racicot & Raymond Théoret, 2022. "Tracking market and non-traditional sources of risks in procyclical and countercyclical hedge fund strategies under extreme scenarios: a nonlinear VAR approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-56, December.
    11. Luc Savard, 2010. "Scaling up infrastructure spending in the Philippines: A CGE top-down bottom-up microsimulation approach," International Journal of Microsimulation, International Microsimulation Association, vol. 3(1), pages 43-59.
    12. Fletcher, Jonathan, 2018. "Bayesian tests of global factor models," Journal of Empirical Finance, Elsevier, vol. 48(C), pages 279-289.
    13. Michael W Brandt & David A Chapman, 2018. "Linear Approximations and Tests of Conditional Pricing Models [A new approach to international arbitrage pricing]," Review of Finance, European Finance Association, vol. 22(2), pages 455-489.
    14. Kent Daniel & Lorenzo Garlappi & Kairong Xiao, 2021. "Monetary Policy and Reaching for Income," Journal of Finance, American Finance Association, vol. 76(3), pages 1145-1193, June.
    15. 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.
    16. Huynh, Nhan & Phan, Hoa, 2023. "Emotions in the crypto market: Do photos really speak?," Finance Research Letters, Elsevier, vol. 55(PB).
    17. Huber, Daniel & Jacobs, Heiko & Müller, Sebastian & Preissler, Fabian, 2023. "International factor models," Journal of Banking & Finance, Elsevier, vol. 150(C).
    18. Christos Argyropoulos & Bertrand Candelon & Jean-Baptiste Hasse & Ekaterini Panopoulou, 2020. "Toward a Macroprudential Regulatory Framework for Mutual Funds," GRU Working Paper Series GRU_2020_008, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
    19. Te‐Feng Chen & Lei Sun & K. C. John Wei & Feixue Xie, 2018. "The profitability effect: Insights from international equity markets," European Financial Management, European Financial Management Association, vol. 24(4), pages 545-580, September.
    20. Lin, Qi, 2021. "The q5 model and its consistency with the intertemporal CAPM," Journal of Banking & Finance, Elsevier, vol. 127(C).

    More about this item

    Keywords

    International asset pricing; Multifactor models; Dividend discount model;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

    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:eee:finlet:v:41:y:2021:i:c:s1544612320316627. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/frl .

    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.