IDEAS home Printed from https://ideas.repec.org/p/chf/rpseri/rp2216.html
   My bibliography  Save this paper

Personality Traits and Investment Styles

Author

Listed:
  • Thorsten Hens

    (University of Zurich - Department of Banking and Finance; Norwegian School of Economics and Business Administration (NHH); Swiss Finance Institute)

  • Mei Ding-Hirschfeld

    (University of Zurich)

Abstract

We show that preferred investment styles can be determined by the big five personality traits. Using this result, we build a tool that recommends investment styles. The resulting recommendations are significantly higher rated than random recommendations. We collected detailed personality traits data and preferred investment styles of 2459 participants. They are selected from the German population. Based on this data, we receive positive regression results, suggesting the significant relationship between personality traits and styles. Then we established a personality-based style profiler based on a least-distance algorithm. We tested its out-of-sample performance. The results of AB testing show that the style profiler provides significantly better fitting style recommendations than a random recommendation. Our results suggest that further research on wealth management could benefit from including the personality of individual investors as a crucial factor, contributing to more satisfying and consistent recommendations.

Suggested Citation

  • Thorsten Hens & Mei Ding-Hirschfeld, 2022. "Personality Traits and Investment Styles," Swiss Finance Institute Research Paper Series 22-16, Swiss Finance Institute.
  • Handle: RePEc:chf:rpseri:rp2216
    as

    Download full text from publisher

    File URL: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4029750
    Download Restriction: no
    ---><---

    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:chf:rpseri:rp2216. 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: Ridima Mittal (email available below). General contact details of provider: https://edirc.repec.org/data/fameech.html .

    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.