IDEAS home Printed from https://ideas.repec.org/a/taf/eurjfi/v26y2020i14p1417-1438.html
   My bibliography  Save this article

How emotions influence behavior in financial markets: a conceptual analysis and emotion-based account of buy-sell preferences

Author

Listed:
  • Darren Duxbury
  • Tommy Gärling
  • Amelie Gamble
  • Vian Klass

Abstract

We develop a conceptual analysis and account of how emotions influence behavior in financial markets. To motivate our approach and to establish the need for such research, we first review the increasingly important literature on emotions in financial markets. While emotions influence investors in financial markets, there is a lack of precision concerning the exact nature of these influences. To remedy this, we identify and address a number of issues deriving from the current state of the finance literature. One issue concerns the lack of clarity in defining different emotion constructs. Another is the lack of a general emotion-based account of financial behavior. Our contribution is a classification of emotion-related phenomena and an emotion-based account of how anticipatory and anticipated emotions interact to determine investors’ buy and sell preferences in asset markets. Preliminary experimental results support our emotion-based account.

Suggested Citation

  • Darren Duxbury & Tommy Gärling & Amelie Gamble & Vian Klass, 2020. "How emotions influence behavior in financial markets: a conceptual analysis and emotion-based account of buy-sell preferences," The European Journal of Finance, Taylor & Francis Journals, vol. 26(14), pages 1417-1438, September.
  • Handle: RePEc:taf:eurjfi:v:26:y:2020:i:14:p:1417-1438
    DOI: 10.1080/1351847X.2020.1742758
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/1351847X.2020.1742758
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/1351847X.2020.1742758?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. Chundakkadan, Radeef & Nedumparambil, Elizabeth, 2022. "In search of COVID-19 and stock market behavior," Global Finance Journal, Elsevier, vol. 54(C).
    2. Liu, Ya-Fei & Li, Hui & Liang, Sai, 2022. "Any reputation is a good reputation: influence of investor-perceived reputation in restructuring on hospitality firm performance," Annals of Tourism Research, Elsevier, vol. 92(C).
    3. Vamossy, Domonkos F., 2021. "Investor emotions and earnings announcements," Journal of Behavioral and Experimental Finance, Elsevier, vol. 30(C).
    4. Hamelin, Nicolas & Bonelli, Marco I., 2022. "Traders’ anticipatory feelings and traders’ profitability: An exploratory study," Journal of Behavioral and Experimental Finance, Elsevier, vol. 36(C).
    5. Khurram Ajaz Khan & Zdenko Metzker & Justas Streimikis & John Amoah, 2023. "Impact of negative emotions on financial behavior: An assessment through general strain theory," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 18(1), pages 219-254, March.
    6. Domonkos F. Vamossy & Rolf Skog, 2021. "EmTract: Extracting Emotions from Social Media," Papers 2112.03868, arXiv.org, revised Jun 2023.
    7. Domonkos F. Vamossy, 2020. "Investor Emotions and Earnings Announcements," Papers 2006.13934, arXiv.org, revised Jun 2020.
    8. Wang, Wenzhao & Duxbury, Darren, 2021. "Institutional investor sentiment and the mean-variance relationship: Global evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 415-441.
    9. Juan Carlos Matallín‐Sáez & Amparo Soler‐Domínguez & Salvador Navarro‐Montoliu & Diego Víctor de Mingo‐López, 2022. "Investor behavior and the demand for conventional and socially responsible mutual funds," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 29(1), pages 46-59, January.
    10. Sherif, Mohamed, 2020. "The impact of Coronavirus (COVID-19) outbreak on faith-based investments: An original analysis," Journal of Behavioral and Experimental Finance, Elsevier, vol. 28(C).
    11. Goodell, John W. & Kumar, Satish & Rao, Purnima & Verma, Shubhangi, 2023. "Emotions and stock market anomalies: A systematic review," Journal of Behavioral and Experimental Finance, Elsevier, vol. 37(C).

    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:eurjfi:v:26:y:2020:i:14:p:1417-1438. 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/REJF20 .

    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.