IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v195y2009i3p905-913.html
   My bibliography  Save this article

Fuzzy relations for the analysis of traders' preferences in an information market game

Author

Listed:
  • Van de Walle, Bartel
  • Turoff, Murray

Abstract

In this paper we focus on preference and decision data gathered during a computer-supported information market game in which 35 students participated during seven consecutive trading sessions. The participants' individual preferences on the market shares are collected to calculate a collective preference ranking using the Borda social choice method. Comparing this preference ranking to the shares' actual market ranking resulting from the participants' trading, we find a statistically significant difference between both rankings. As the preferences established by market behavior cannot be adequately explained through a social choice rule, we propose an alternative explanation based on the herd behavior phenomenon where traders imitate the most successful trader in the market. Using a decision analysis technique based on fuzzy relations, we study the participants' rankings of the best share in the market during 7 weeks and compare the most successful trader to the other traders. The results from our analysis show that a substantial number of traders is indeed following the market leader.

Suggested Citation

  • Van de Walle, Bartel & Turoff, Murray, 2009. "Fuzzy relations for the analysis of traders' preferences in an information market game," European Journal of Operational Research, Elsevier, vol. 195(3), pages 905-913, June.
    • Handle: RePEc:eee:ejores:v:195:y:2009:i:3:p:905-913
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0377-2217(07)01114-9
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Friedman,Daniel & Sunder,Shyam, 1994. "Experimental Methods," Cambridge Books, Cambridge University Press, number 9780521456821, January.
    2. Bartel Van de Walle & Bernard De Baets & Etienne Kerre, 1998. "Characterizable fuzzy preference structures," Annals of Operations Research, Springer, vol. 80(0), pages 105-136, January.
    3. De Meyer, H. & Naessens, H. & De Baets, B., 2004. "Algorithms for computing the min-transitive closure and associated partition tree of a symmetric fuzzy relation," European Journal of Operational Research, Elsevier, vol. 155(1), pages 226-238, May.
    4. Abhijit V. Banerjee, 1992. "A Simple Model of Herd Behavior," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(3), pages 797-817.
    5. Forsythe, Robert & Forrest Nelson & George R. Neumann & Jack Wright, 1992. "Anatomy of an Experimental Political Stock Market," American Economic Review, American Economic Association, vol. 82(5), pages 1142-1161, December.
    6. Welch, Ivo, 2000. "Herding among security analysts," Journal of Financial Economics, Elsevier, vol. 58(3), pages 369-396, December.
    7. Anne-Francoise Rutkowski & Bartel Walle, 2005. "Cultural Dimensions and Prototypical Criteria for Multi-Criteria Decision Support in Electronic Markets: A Comparative Analysis of Two Job Markets," Group Decision and Negotiation, Springer, vol. 14(4), pages 285-306, July.
    8. Marchant, Thierry, 1998. "Cardinality and the borda score," European Journal of Operational Research, Elsevier, vol. 108(2), pages 464-472, July.
    9. Charles A. Holt, 1996. "Classroom Games: Trading in a Pit Market," Journal of Economic Perspectives, American Economic Association, vol. 10(1), pages 193-203, Winter.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wang, Peiwen & Chen, Minghua & Wu, Ji & Yan, Yuanyun, 2023. "Do peer effects matter in bank risk? Some cross-country evidence," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 88(C).
    2. Mathias Drehmann & Jörg Oechssler & Andreas Roider, 2005. "Herding and Contrarian Behavior in Financial Markets: An Internet Experiment," American Economic Review, American Economic Association, vol. 95(5), pages 1403-1426, December.
    3. Nuzzo, Simone & Morone, Andrea, 2017. "Asset markets in the lab: A literature review," Journal of Behavioral and Experimental Finance, Elsevier, vol. 13(C), pages 42-50.
    4. He, Xue-Zhong & Li, Kai & Santi, Caterina & Shi, Lei, 2022. "Social interaction, volatility clustering, and momentum," Journal of Economic Behavior & Organization, Elsevier, vol. 203(C), pages 125-149.
    5. Adam Zaremba & Jacob Koby Shemer, 2018. "Price-Based Investment Strategies," Springer Books, Springer, number 978-3-319-91530-2, June.
    6. Puput Tri Komalasari & Marwan Asri & Bernardinus M. Purwanto & Bowo Setiyono, 2022. "Herding behaviour in the capital market: What do we know and what is next?," Management Review Quarterly, Springer, vol. 72(3), pages 745-787, September.
    7. Hirshleifer, David & Levi, Yaron & Lourie, Ben & Teoh, Siew Hong, 2019. "Decision fatigue and heuristic analyst forecasts," Journal of Financial Economics, Elsevier, vol. 133(1), pages 83-98.
    8. Hott, Christian, 2009. "Herding behavior in asset markets," Journal of Financial Stability, Elsevier, vol. 5(1), pages 35-56, January.
    9. Daniel, Kent & Hirshleifer, David & Teoh, Siew Hong, 2002. "Investor psychology in capital markets: evidence and policy implications," Journal of Monetary Economics, Elsevier, vol. 49(1), pages 139-209, January.
    10. Mahmood Mahmoodzadeh & Saleh Ghavidel & Mir Hosein Mousavi, 2014. "The Role of Information in Stock Market," Proceedings of International Academic Conferences 0701697, International Institute of Social and Economic Sciences.
    11. Frijns, Bart & Huynh, Thanh D., 2018. "Herding in analysts’ recommendations: The role of media," Journal of Banking & Finance, Elsevier, vol. 91(C), pages 1-18.
    12. Cary Frydman & Ian Krajbich, 2022. "Using Response Times to Infer Others’ Private Information: An Application to Information Cascades," Management Science, INFORMS, vol. 68(4), pages 2970-2986, April.
    13. Clarke, Jonathan & Subramanian, Ajay, 2006. "Dynamic forecasting behavior by analysts: Theory and evidence," Journal of Financial Economics, Elsevier, vol. 80(1), pages 81-113, April.
    14. Bizer, Kilian & Meub, Lukas & Proeger, Till & Spiwoks, Markus, 2014. "Strategic coordination in forecasting: An experimental study," University of Göttingen Working Papers in Economics 195, University of Goettingen, Department of Economics.
    15. Agnieszka Rusinowska & Vassili Vergopoulos, 2020. "Ingratiation and Favoritism in Organizations," Journal of Institutional and Theoretical Economics (JITE), Mohr Siebeck, Tübingen, vol. 176(3), pages 413-445.
    16. Syon P. Bhanot & Charles Williamson, 2020. "Financial Incentives and Herding: Evidence from Two Online Experiments," Southern Economic Journal, John Wiley & Sons, vol. 86(4), pages 1559-1575, April.
    17. Xudong An & Larry Cordell & Joseph B. Nichols, 2020. "Reputation, Information, and Herding in Credit Ratings: Evidence from CMBS," The Journal of Real Estate Finance and Economics, Springer, vol. 61(3), pages 476-504, October.
    18. Drehmann, Mathias & Oechssler, Jorg & Roider, Andreas, 2007. "Herding with and without payoff externalities -- an internet experiment," International Journal of Industrial Organization, Elsevier, vol. 25(2), pages 391-415, April.
    19. Michael McAleer & Kim Radalj, 2013. "Herding, Information Cascades and Volatility Spillovers in Futures Markets," Journal of Reviews on Global Economics, Lifescience Global, vol. 2, pages 307-329.
    20. SeungHan Ro & Paul Gallimore & Sherwood Clements & Gang-Zhi Fan, 2019. "Herding Behavior among Residential Developers," The Journal of Real Estate Finance and Economics, Springer, vol. 59(2), pages 272-294, August.

    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:ejores:v:195:y:2009:i:3:p:905-913. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: http://www.elsevier.com/locate/eor .

    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.