IDEAS home Printed from https://ideas.repec.org/a/eee/beexfi/v9y2016icp125-131.html
   My bibliography  Save this article

Ambiguity vs risk: An experimental study of overconfidence, gender and trading activity

Author

Listed:
  • Yang, Xiaolan
  • Zhu, Li

Abstract

In this paper, we investigate the effect of overconfidence and gender on trading activity in experimental asset markets under a symmetric information setting. We measure the degree of overconfidence in three forms—miscalibration, a better-than-average effect, and the illusion of control, and design two treatments (Ambiguity and Risk) that differ by the prior information available about the distribution of the dividend in the asset market. Our results indicate that traders who think they are on average better in terms of trading ability trade more only in the Ambiguity Treatment where prior information about the distribution is omitted. Males also have a higher degree of overconfidence in the better-than-average effect and trade significantly more than females in the Ambiguity Treatment. Both overconfidence and gender do not appear to play a role in increasing trading volume in the Risk Treatment including information on distribution.

Suggested Citation

  • Yang, Xiaolan & Zhu, Li, 2016. "Ambiguity vs risk: An experimental study of overconfidence, gender and trading activity," Journal of Behavioral and Experimental Finance, Elsevier, vol. 9(C), pages 125-131.
  • Handle: RePEc:eee:beexfi:v:9:y:2016:i:c:p:125-131
    DOI: 10.1016/j.jbef.2016.01.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S2214635016000095
    Download Restriction: no

    File URL: https://libkey.io/10.1016/j.jbef.2016.01.003?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
    ---><---

    Citations

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


    Cited by:

    1. Jin, Xiaoye, 2022. "Performance of intraday technical trading in China’s gold market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 76(C).
    2. Richard J. Arend, 2022. "Strategy under Ambiguity, and a New Type of Decision Dilemma," Administrative Sciences, MDPI, vol. 12(2), pages 1-17, March.
    3. Negrea, Bogdan & Toma, Mihai, 2017. "Dynamic CAPM under ambiguity—An experimental approach," Journal of Behavioral and Experimental Finance, Elsevier, vol. 16(C), pages 22-32.
    4. Daniela Di Cagno & Daniela Grieco, 2019. "Measuring and Disentangling Ambiguity and Confidence in the Lab," Games, MDPI, vol. 10(1), pages 1-22, February.
    5. Dela Cruz, Aeson Luiz & Patel, Chris & Ying, Sammy & Pan, Peipei, 2020. "The relevance of professional skepticism to finance professionals’ Socially Responsible Investing decisions," Journal of Behavioral and Experimental Finance, Elsevier, vol. 26(C).
    6. Pia Arenius & Swee-Hoon Chuah & Bronwyn Coate & Robert Hoffmann, 2021. "The economic psychology of creating and venturing: a comparative behavioural portrait of artists and entrepreneurs," Small Business Economics, Springer, vol. 57(2), pages 721-737, August.
    7. Jin, Xiaoye, 2021. "What do we know about the popularity of technical analysis in foreign exchange markets? A skewness preference perspective," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 71(C).
    8. Aggarwal, Divya & Damodaran, Uday, 2020. "Ambiguity attitudes and myopic loss aversion: Experimental evidence using carnival games," Journal of Behavioral and Experimental Finance, Elsevier, vol. 25(C).

    More about this item

    Keywords

    Overconfidence; Gender; Trading activity; Ambiguity; Risk;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

    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:eee:beexfi:v:9:y:2016:i:c:p:125-131. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/journal-of-behavioral-and-experimental-finance .

    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.