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Herding, Contrarianism and Delay in Financial Market Trading

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  • Park, A.
  • Sgroi, D.

Abstract

Herding and contrarian behavior are often-cited features of real-world financial markets. Theoretical models of continuous trading that study herding and contrarianism, however, usually do not allow traders to choose when to trade or to trade more than once. We present a large-scale experiment to explore these features within a tightly controlled laboratory environment. Herding and contrarianism are significantly more pronounced than in compa- rable studies that do not allow traders to time their decisions. Traders with extreme information tend to trade earliest, followed by those with information conducive to contrarianism, while those with the theoretical potential to herd delay the most.

Suggested Citation

  • Park, A. & Sgroi, D., 2009. "Herding, Contrarianism and Delay in Financial Market Trading," Cambridge Working Papers in Economics 0941, Faculty of Economics, University of Cambridge.
  • Handle: RePEc:cam:camdae:0941
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    Cited by:

    1. 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.
    2. Jason Shachat & Anand Srinivasan, 2011. "Informational Price Cascades and Non-aggregation of Asymmetric Information in Experimental Asset Markets," Working Papers 1102, Xiamen Unversity, The Wang Yanan Institute for Studies in Economics, Finance and Economics Experimental Laboratory, revised 14 Apr 2011.
    3. Lukas Meub & Till Proeger & Hendrik Hüning, 2017. "A comparison of endogenous and exogenous timing in a social learning experiment," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(1), pages 143-166, April.
    4. Christopher Boortz & Simon Jurkatis & Stephanie Kremer & Dieter Nautz, 2013. "Institutional Herding in Financial Markets: New Evidence through the Lens of a Simulated Model," Discussion Papers of DIW Berlin 1336, DIW Berlin, German Institute for Economic Research.
    5. Proto, Eugenio & Sgroi, Daniel, 2017. "Biased beliefs and imperfect information," Journal of Economic Behavior & Organization, Elsevier, vol. 136(C), pages 186-202.
    6. Ivanov, Asen & Levin, Dan & Peck, James, 2013. "Behavioral biases in endogenous-timing herding games: An experimental study," Journal of Economic Behavior & Organization, Elsevier, vol. 87(C), pages 25-34.
    7. Christopher Boortz & Simon Jurkatis & Stephanie Kremer & Dieter Nautz, 2013. "Herding in financial markets: Bridging the gap between theory and evidence," SFB 649 Discussion Papers SFB649DP2013-036, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    8. Youzong Xu & Bo Li, 2017. "Behavioral heterogeneity and financial markets: Locked/crossed quotes under informationally efficient pricing," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1384524-138, January.
    9. Christopher Boortz & Stephanie Kremer & Simon Jurkatis & Dieter Nautz, 2014. "Information Risk, Market Stress and Institutional Herding in Financial Markets: New Evidence Through the Lens of a Simulated Model," SFB 649 Discussion Papers SFB649DP2014-029, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.

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    More about this item

    Keywords

    Herding; Contrarianism; Endogenous-time Trading; Experiments;
    All these 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

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