IDEAS home Printed from https://ideas.repec.org/p/cam/camdae/0938.html

Herding and Contrarian Behavior in Financial Markets: An Experimental Analysis

Author

Listed:
  • Park, A.
  • Sgroi, D.

Abstract

We are the first paper to analyze and confirm the existence and extent of rational informational herding and rational informational contrarianism in a financial market experiment, and to compare and contrast these with the equivalent irrational phenomena. In our study, subjects generally behave according to benchmark rationality. Traders who should herd or be contrarian in theory are the significant source of both within the data. Correcting for subjects who chose not to trade at least once (an irrational action in itself), increases our ability to predict herding or contrarian behavior considerabl.

Suggested Citation

  • Park, A. & Sgroi, D., 2009. "Herding and Contrarian Behavior in Financial Markets: An Experimental Analysis," Cambridge Working Papers in Economics 0938, Faculty of Economics, University of Cambridge.
  • Handle: RePEc:cam:camdae:0938
    as

    Download full text from publisher

    File URL: https://files.econ.cam.ac.uk/repec/cam/pdf/cwpe0938.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

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


    Cited by:

    1. Pengguang Lu, 2023. "A Simple Model of Herding and Contrarian Behaviour with Biased Informed Traders," Economics Discussion Paper Series 2307, Economics, The University of Manchester, revised Dec 2023.
    2. Park, Andreas & Sgroi, Daniel, "undated". "When Herding and Contrarianism Foster Market Efficiency: A Financial Trading Experiment," Economic Research Papers 269852, University of Warwick - Department of Economics.
    3. Baddeley, M. & Burke, C. & Schultz, W. & Tobler, P., 2012. "Herding in Financial Behaviour: A Behavioural and Neuroeconomic Analysis of Individual Differences," Cambridge Working Papers in Economics 1225, Faculty of Economics, University of Cambridge.
    4. Junkai Wang & Robert Hudson, 2024. "Better ways to test for herding," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(1), pages 790-818, January.
    5. Joohyun Kim & Ohsung Kwon & Duk Hee Lee, 2019. "Observing Cascade Behavior Depending on the Network Topology and Transaction Costs," Computational Economics, Springer;Society for Computational Economics, vol. 53(1), pages 207-225, January.
    6. Andreas Roider & Andrea Voskort, 2016. "Reputational Herding in Financial Markets: A Laboratory Experiment," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 17(3), pages 244-266, July.
    7. Park, Andreas & Sgroi, Daniel, 2012. "Herding, contrarianism and delay in financial market trading," European Economic Review, Elsevier, vol. 56(6), pages 1020-1037.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:cam:camdae:0938. 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: Jake Dyer (email available below). General contact details of provider: https://www.econ.cam.ac.uk/ .

    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.