IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-246-0_6.html

Analysis of Fama-French Five-Factor Model Applicability in Chinese A-Share Market

In: Proceedings of the 3rd International Conference on Economic Development and Business Culture (ICEDBC 2023)

Author

Listed:
  • Zeyu Zhu

    (University of Southampton, Department of Economics)

Abstract

As it known that Fama and French proposed the five-factor model in 2015 and has been widely discussed by scholars and public. Being an emerging market, studying the Chinese stock market is of crucial importance, and Fama-French 5-factor model can be a very typical and effective tool for stock market analysis. To test the effectiveness of the 5-factor F&F model for the A-share market, this paper selects the 300 A-share equities from 2017 to 2021 as the data for the sample. Constructing weighted portfolio by crossing the size to B/M ratio, profitability, and investment, then analyzing the average monthly return of portfolio. Furthermore, by conducting the regression and GRS test, the results show that the 5-factor model overperforms the 3-factor model even though RMW and CMA have little influence on the A-share market. In general, the new factor profitability and investment improve the model slightly and the Fama&French 5-factor model is valid to the A-share market during 2017 to 2021.

Suggested Citation

  • Zeyu Zhu, 2024. "Analysis of Fama-French Five-Factor Model Applicability in Chinese A-Share Market," Advances in Economics, Business and Management Research, in: Shehnaz Tehseen & Mohd Naseem Niaz Ahmad & Rafia Afroz (ed.), Proceedings of the 3rd International Conference on Economic Development and Business Culture (ICEDBC 2023), pages 42-52, Springer.
  • Handle: RePEc:spr:advbcp:978-94-6463-246-0_6
    DOI: 10.2991/978-94-6463-246-0_6
    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

    Keywords

    ;
    ;
    ;
    ;

    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:spr:advbcp:978-94-6463-246-0_6. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.