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Noise Trading in a Laboratory Financial Market: A Maximum Likelihood Approach

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Author Info
Marco Cipriani (George Washington University,)
Antonio Guarino (University College London and University of Venice,)

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Abstract

We study the extent to which, in a laboratory financial market, noise trading can stem from subjects' irrationality. We estimate a structural model of sequential trading by using experimental data. In the experiment, subjects receive private information on the value of an asset and trade it in sequence with a market maker. We find that, in the laboratory, the noise due to the irrational use of private information accounts for 35% of the decisions. When subjects act as noise traders, they abstain from trading 67% of the time. When they trade, the probability that they buy is significantly higher than the probability that they sell. (JEL: C92, D8, G14) Copyright (c) 2005 The European Economic Association.

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Publisher Info
Article provided by MIT Press in its journal Journal of the European Economic Association.

Volume (Year): 3 (2005)
Issue (Month): 2-3 (04/05)
Pages: 315-321
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Handle: RePEc:tpr:jeurec:v:3:y:2005:i:2-3:p:315-321

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  1. Antonio Guarino & Marco Cipriani, 2008. "Herd Behavior in Financial Markets: An Experiment with Financial Market Professionals," IMF Working Papers 08/141, International Monetary Fund. [Downloadable!]
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