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A theoretical framework for trading experiments

Author

Listed:
  • Maxence Soumare

    (JAD - Laboratoire Jean Alexandre Dieudonné - UNS - Université Nice Sophia Antipolis (1965 - 2019) - CNRS - Centre National de la Recherche Scientifique)

  • Jørgen Vitting Andersen

    (CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique)

  • Francis Bouchard

    (HEC Montréal - HEC Montréal)

  • Alain Elkaim

    (HEC Montréal - HEC Montréal)

  • Dominique Guegan

    (CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique)

  • Justin Leroux

    (HEC Montréal - HEC Montréal)

  • Michel Miniconi

    (JAD - Laboratoire Jean Alexandre Dieudonné - UNS - Université Nice Sophia Antipolis (1965 - 2019) - CNRS - Centre National de la Recherche Scientifique)

  • Lars Stentoft

    (HEC Montréal - HEC Montréal)

Abstract

A general framework is suggested to describe human decision making in a certain class of experiments performed in a trading laboratory. We are in particular interested in discerning between two different moods, or states of the investors, corresponding to investors using fundemental investment strategies, technical analysis investment strategies respectively. Our framework accounts for two opposite situations already encountered in experimental setups : i) the rational expectations case, and ii) the case of pure speculation. We consider new experimental conditions which allow both elements to be present in the decision making process of the traders, thereby creating a dilemma in terms of investment strategy. Our theoretical framework allows us to predict the outcome of this type of trading experiments, depending on such variables as the number of people trading, the liquidity of the market, the amount of information used in technical analysis strategies, as well as the dividends attributed to an asset. We find that it is possible to give a qualitative prediction of trading behavior depending on a ratio that quantifies the fluctuations in the model.

Suggested Citation

  • Maxence Soumare & Jørgen Vitting Andersen & Francis Bouchard & Alain Elkaim & Dominique Guegan & Justin Leroux & Michel Miniconi & Lars Stentoft, 2012. "A theoretical framework for trading experiments," Post-Print halshs-00768898, HAL.
  • Handle: RePEc:hal:journl:halshs-00768898
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00768898
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    Keywords

    Decision making; game theory; complex systems theory; technical analysis; rational expectations; Théorie des jeux;
    All these keywords.

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • C0 - Mathematical and Quantitative Methods - - General

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