IDEAS home Printed from https://ideas.repec.org/a/taf/apeclt/v23y2016i6p444-448.html
   My bibliography  Save this article

Testing Fama–French’s new five-factor asset pricing model: evidence from robust instruments

Author

Listed:
  • François-Eric Racicot
  • William F. Rentz

Abstract

Fama and French (FF, 2015) propose a five-factor asset pricing model that captures size, value, profitability and investment patterns. The primary purpose here is to further investigate this new model using an improved GMM-based robust instrumental variables technique. A further purpose is to explore the relationship among the FF factors and the Pástor–Stambaugh (PS, 2003) liquidity factor. We conclude that except for the market factor, all of the factors including liquidity are not significant at even the 5% level using our GMM approach for almost all of the FF 12 sectors.

Suggested Citation

  • François-Eric Racicot & William F. Rentz, 2016. "Testing Fama–French’s new five-factor asset pricing model: evidence from robust instruments," Applied Economics Letters, Taylor & Francis Journals, vol. 23(6), pages 444-448, April.
  • Handle: RePEc:taf:apeclt:v:23:y:2016:i:6:p:444-448
    DOI: 10.1080/13504851.2015.1080798
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13504851.2015.1080798
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/13504851.2015.1080798?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.

    Citations

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


    Cited by:

    1. Molero-González, L. & Trinidad-Segovia, J.E. & Sánchez-Granero, M.A. & García-Medina, A., 2023. "Market Beta is not dead: An approach from Random Matrix Theory," Finance Research Letters, Elsevier, vol. 55(PA).
    2. Canepa, Alessandra & de la O. González, María & Skinner, Frank S., 2020. "Hedge fund strategies: A non-parametric analysis," International Review of Financial Analysis, Elsevier, vol. 67(C).
    3. Rahul Roy & Santhakumar Shijin, 2018. "A six-factor asset pricing model," Papers 1810.07790, arXiv.org.
    4. Güler ARAS & İlhan ÇAM & Bilal ZAVALSIZ & Serkan KESKİN, 2018. "Fama-French Çok Faktör Varlık Fiyatlama Modellerinin Performanslarının Karşılaştırılması: Borsa İstanbul Üzerine Bir Uygulama," Istanbul Business Research, Istanbul University Business School, vol. 47(2), pages 183-207, November.
    5. Anshul Verma & Riccardo Junior Buonocore & Tiziana di Matteo, 2017. "A cluster driven log-volatility factor model: a deepening on the source of the volatility clustering," Papers 1712.02138, arXiv.org, revised May 2018.
    6. Poshakwale, Sunil S. & Chandorkar, Pankaj & Agarwal, Vineet, 2019. "Implied volatility and the cross section of stock returns in the UK," Research in International Business and Finance, Elsevier, vol. 48(C), pages 271-286.
    7. González, María de la O & Jareño, Francisco, 2019. "Testing extensions of Fama & French models: A quantile regression approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 71(C), pages 188-204.
    8. Racicot, François-Éric & Rentz, William F., 2018. "Does Illiquidity Matter? An Errors-in-Variables Perspective/¿Es importante la iliquidez? Un análisis desde el enfoque de errores en variables," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 36, pages 251-262, Enero.
    9. Rahul Roy & Santhakumar Shijin, 2018. "A six-factor asset pricing model," Post-Print hal-01878923, HAL.
    10. Vanitha Swaminathan & Sayan Gupta & Kevin Lane Keller & Donald Lehmann, 2022. "Brand actions and financial consequences: a review of key findings and directions for future research," Journal of the Academy of Marketing Science, Springer, vol. 50(4), pages 639-664, July.

    More about this item

    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:taf:apeclt:v:23:y:2016:i:6:p:444-448. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEL20 .

    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.