IDEAS home Printed from https://ideas.repec.org/a/wsi/qjfxxx/v13y2023i04ns2010139223500118.html
   My bibliography  Save this article

How Robust are Empirical Factor Models to the Choice of Breakpoints?

Author

Listed:
  • Fabian Hollstein

    (School of Human and Business Sciences, Saarland University, Campus C3 1, 66123 Saarbrucken, Germany)

  • Marcel Prokopczuk

    (School of Economics and Management, Leibniz University Hannover, Koenigsworther Platz 1, 30167 Hannover, Germany†ICMA Centre, Henley Business School, University of Reading, Reading RG6 6BA, UK)

  • Victoria Voigts

    (School of Economics and Management, Leibniz University Hannover, Koenigsworther Platz 1, 30167 Hannover, Germany)

Abstract

We comprehensively investigate the robustness of well-known factor models to altered factor formation breakpoints. Deviating from the standard 30th and 70th percentile selection, we use an extensive set of anomaly test portfolios to uncover two main findings: First, there is a trade-off between specification and diversification. More centered breakpoints tend to result in less (idiosyncratic) risk. More extreme sorts lead to greater exposure to the underlying anomalies and thus to higher average returns. Second, the models are robust to varying degrees. Hou et al.’s model [2015, Digesting Anomalies: An Investment Approach, Review of Financial Studies 28, 650–705] is much more sensitive to changes in breakpoints than the Fama–French models.

Suggested Citation

  • Fabian Hollstein & Marcel Prokopczuk & Victoria Voigts, 2023. "How Robust are Empirical Factor Models to the Choice of Breakpoints?," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 13(04), pages 1-68, December.
  • Handle: RePEc:wsi:qjfxxx:v:13:y:2023:i:04:n:s2010139223500118
    DOI: 10.1142/S2010139223500118
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S2010139223500118
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1142/S2010139223500118?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.

    More about this item

    Keywords

    Empirical asset pricing; factor models; replication analysis; breakpoints; robustness;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

    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:wsi:qjfxxx:v:13:y:2023:i:04:n:s2010139223500118. 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/qjf/qjf.shtml .

    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.