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Do investors trade too much? A laboratory experiment

Author

Listed:
  • João da Gama Batista
  • Domenico Massaro

    (Unicatt - Università cattolica del Sacro Cuore [Milano])

  • Jean-Philippe Bouchaud

    (CFM - Capital Fund Management - Capital Fund Management)

  • Damien Challet

    (MICS - Mathématiques et Informatique pour la Complexité et les Systèmes - CentraleSupélec)

  • Cars Hommes

    (CeNDEF - Center for Nonlinear Dynamics in Economics and Finance - UvA - University of Amsterdam [Amsterdam] = Universiteit van Amsterdam)

Abstract
We run an experiment to investigate the emergence of excess and synchronised trading activity leading to market crashes. Although the environment clearly favours a buy-and-hold strategy, we observe that subjects trade too much, which is detrimental to their wealth given the implemented market impact (known to them). We find that preference for risk leads to higher activity rates and that price expectations are fully consistent with subjects' actions. In particular, trading subjects try to make profits by playing a buy low, sell high strategy. Finally, we do not detect crashes driven by collective panic, but rather a weak but significant synchronisation of buy activity.

Suggested Citation

  • João da Gama Batista & Domenico Massaro & Jean-Philippe Bouchaud & Damien Challet & Cars Hommes, 2017. "Do investors trade too much? A laboratory experiment," Post-Print hal-01244465, HAL.
    • Handle: RePEc:hal:journl:hal-01244465
    DOI: 10.1016/j.jebo.2017.05.013
    Note: View the original document on HAL open archive server: https://hal.science/hal-01244465v1
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    2. Staccioli, Jacopo & Napoletano, Mauro, 2021. "An agent-based model of intra-day financial markets dynamics," Journal of Economic Behavior & Organization, Elsevier, vol. 182(C), pages 331-348.
    3. Kallinterakis, Vasileios & Karaa, Rabaa, 2023. "From dusk till dawn (and vice versa): Overnight-versus-daytime reversals and feedback trading," International Review of Financial Analysis, Elsevier, vol. 85(C).
    4. Francesco Cordoni, 2022. "Multi-Asset Bubbles Equilibrium Price Dynamics," Papers 2206.01468, arXiv.org, revised Sep 2024.
    5. Baumann, Michael Heinrich & Baumann, Michaela & Erler, Alexander, 2019. "Limitations of stabilizing effects of fundamentalists: Facing positive feedback traders," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 13, pages 1-26.
    6. Fotini Economou & Konstantinos Gavriilidis & Bartosz Gebka & Vasileios Kallinterakis, 2022. "Feedback trading: a review of theory and empirical evidence," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 15(4), pages 429-476, February.
    7. Wang, Wei & Lan, Yingjie, 2022. "Robust one-way trading with limited number of transactions and heuristics for fixed transaction costs," International Journal of Production Economics, Elsevier, vol. 247(C).
    8. Ülkü, Numan & Rogers, Madeline, 2018. "Who drives the Monday effect?," Journal of Economic Behavior & Organization, Elsevier, vol. 148(C), pages 46-65.
    9. Taylor, Matthew P. & Wozniak, David, 2018. "Gender differences in asset information acquisition," Journal of Behavioral and Experimental Finance, Elsevier, vol. 20(C), pages 19-29.

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    More about this item

    Keywords

    clustering; Experimental markets; excessive trading; price expectations; Experimental Asset Markets; Trading Volumes; Crashes; Expectations; Risk Attitude;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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