IDEAS home Printed from https://ideas.repec.org/a/taf/hbhfxx/v20y2019i3p339-353.html
   My bibliography  Save this article

Myopic Loss Aversion, Personality, and Gender

Author

Listed:
  • Robert B. Durand
  • Lucia Fung
  • Manapon Limkriangkrai

Abstract

Investor propensity to exhibit myopic loss aversion (MLA) varies. The authors’ analysis, which follows and extends the experimental design of Gneezy and Potters [1997] and Haigh and List [2005], finds that extraversion, one of Norman’s Big 5 personality traits, is associated with variation in subjects’ MLA. Extraversion, a trait positively associated with risk, reduces MLA. There is also some indication that neuroticism seems to have a positive association with MLA. Gender does not appear to have robust association with MLA. The study findings suggest that it may be advantageous to use readily measurable psychological constructs rather than gender per se in both experimental and field research.

Suggested Citation

  • Robert B. Durand & Lucia Fung & Manapon Limkriangkrai, 2019. "Myopic Loss Aversion, Personality, and Gender," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 20(3), pages 339-353, July.
    • Handle: RePEc:taf:hbhfxx:v:20:y:2019:i:3:p:339-353
    DOI: 10.1080/15427560.2018.1511562
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/15427560.2018.1511562
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/15427560.2018.1511562?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. Sangita Choudhary & Mohit Yadav & Anugamini Priya Srivastava, 2024. "Cognitive Biases Among Millennial Indian Investors: Do Personality and Demographic Factors Matter?," FIIB Business Review, , vol. 13(1), pages 106-117, January.
    2. Liu, Zhenya & Zhan, Yaosong, 2022. "Investor behavior and filter rule revisiting," Journal of Behavioral and Experimental Finance, Elsevier, vol. 33(C).
    3. Yogita Singh & Mohd. Adil & S. M. Imamul Haque, 2023. "Personality traits and behaviour biases: the moderating role of risk-tolerance," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(4), pages 3549-3573, August.
    4. Fawad Ahmad, 2020. "Personality traits as predictor of cognitive biases: moderating role of risk-attitude," Qualitative Research in Financial Markets, Emerald Group Publishing Limited, vol. 12(4), pages 465-484, June.

    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:hbhfxx:v:20:y:2019:i:3:p:339-353. 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/hbhf .

    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.