IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-443-3_24.html

Does The 6-Factor Model Work Better in The Indonesian Capital Market

In: Proceedings of the 8th Global Conference on Business, Management, and Entrepreneurship (GCBME 2023)

Author

Listed:
  • Dwi Darma

    (University of Singaperbangsa Karawang)

  • Ikaputera Waspada

    (University of Singaperbangsa Karawang)

  • Maya Sari

    (University of Singaperbangsa Karawang)

Abstract

Researchers have made various efforts to discover the best relationship between systematic risk and portfolio returns, and one of these efforts is the Fama and French model. This research aimed to examine whether the latest version, the Fama and French 6-factor model, can outperform the previous version, the Fama and French 5-factor model, using the Kompas 100 Index as a proxy. The method used is a two-stage multiple regression with portfolio formation based on SMB, HML, RMW, CMA, and UMD criteria. The research results indicate that the Fama and French 6-factor model has not yet been able to outperform the Fama and French 5-factor model with the 2x3 portfolio construction. However, it can outperform the Fama and French 5-factor model with the 2x2 portfolio construction because adding one risk factor reduces the variation in risk concerning the variation in portfolio returns formed.

Suggested Citation

  • Dwi Darma & Ikaputera Waspada & Maya Sari, 2024. "Does The 6-Factor Model Work Better in The Indonesian Capital Market," Advances in Economics, Business and Management Research, in: Ratih Hurriyati & Lili Adi Wibowo & Sulastri Sulastri & Lisnawati Lisnawati (ed.), Proceedings of the 8th Global Conference on Business, Management, and Entrepreneurship (GCBME 2023), pages 162-172, Springer.
  • Handle: RePEc:spr:advbcp:978-94-6463-443-3_24
    DOI: 10.2991/978-94-6463-443-3_24
    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:978-94-6463-443-3_24. 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.