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A theoretical framework for trading experiments

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  • Maxence Soumare
  • J{\o}rgen Vitting Andersen
  • Francis Bouchard
  • Alain Elkaim
  • Dominique Gu\'egan
  • Justin Leroux
  • Michel Miniconi
  • Lars Stentoft

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 fundamental 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.

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File URL: http://arxiv.org/pdf/1306.2073
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Bibliographic Info

Paper provided by arXiv.org in its series Papers with number 1306.2073.

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Date of creation: Jun 2013
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Handle: RePEc:arx:papers:1306.2073

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Web page: http://arxiv.org/

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