IDEAS home Printed from https://ideas.repec.org/a/taf/hbhfxx/v18y2017i1p29-44.html
   My bibliography  Save this article

Belief in Mean Reversion and the Disposition Effect: An Experimental Test

Author

Listed:
  • Peiran Jiao

Abstract

The disposition effect refers to investors' tendency to disproportionately sell more winning than losing assets. The literature mostly offered indirect evidence regarding its cause. Using a lab experiment, the author directly evaluates the two competing behavioral mechanisms for this effect: belief in mean reversion and dual risk attitudes of prospect theory. The participants were endowed with some hypothetical assets, observed price charts, and made selling decisions. Sixty-one percent of them exhibited significant disposition effect. The author elicited the participants' risk attitude parameters and beliefs about price movements, and found that beliefs, especially those in the loss domain, but not the dual risk attitudes, significantly contributed to the between-subject variation of the disposition effect. The results from a goodness-of-fit test also favor the belief mechanism.

Suggested Citation

  • Peiran Jiao, 2017. "Belief in Mean Reversion and the Disposition Effect: An Experimental Test," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 18(1), pages 29-44, January.
    • Handle: RePEc:taf:hbhfxx:v:18:y:2017:i:1:p:29-44
    DOI: 10.1080/15427560.2017.1274754
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/15427560.2017.1274754
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/15427560.2017.1274754?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. Vanessa Martins Valcanover & Igor Bernardi Sonza & Wesley Vieira da Silva, 2020. "Behavioral Finance Experiments: A Recent Systematic Literature Review," SAGE Open, , vol. 10(4), pages 21582440209, November.
    2. Stephen L Cheung & Nathan Rogut, 2024. "Portfolio framing and diversification in a disposition effect experiment," Working Papers 2024-17, University of Sydney, School of Economics.
    3. Ballestra, Luca Vincenzo & Guizzardi, Andrea & Mazzucchelli, Lorenzo, 2024. "Integrating narrow and wide framing disposition effect: A novel approach incorporating perceived risk and realized asset performance," Journal of Economic Behavior & Organization, Elsevier, vol. 220(C), pages 422-432.
    4. Bachmann, Kremena, 2024. "Do you have a choice?: Implications for belief updating and the disposition effect," Journal of Economic Psychology, Elsevier, vol. 102(C).
    5. Huber, Christoph & Huber, Jürgen & Kirchler, Michael, 2022. "Volatility shocks and investment behavior," Journal of Economic Behavior & Organization, Elsevier, vol. 194(C), pages 56-70.
    6. Corneille, Olivier & De Winne, Rudy & D’Hondt, Catherine, 2018. "The disposition effect does not survive disclosure of expected price trends," Journal of Behavioral and Experimental Finance, Elsevier, vol. 20(C), pages 80-91.
    7. Kahya, Evrim Hilal & Ekinci, Cumhur, 2022. "Disposition bias among Borsa Istanbul investors: What do we know about type, size and trading frequency?," Journal of Behavioral and Experimental Finance, Elsevier, vol. 35(C).
    8. Janssen, Dirk-Jan & Li, Jiangyan & Qiu, Jianying & Weitzel, Utz, 2020. "The disposition effect and underreaction to private information," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    9. Pedro Gonzalez-Fernandez, 2024. "Belief Bias Identification," Papers 2404.09297, arXiv.org.

    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:18:y:2017:i:1:p:29-44. 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.