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Econophysics review: II. Agent-based models
Authors:Anirban Chakraborti  Ioane Muni Toke  Marco Patriarca  Frédéric Abergel
Affiliation:1. Laboratoire de Mathématiques Appliquées aux Systèmes, Ecole Centrale Paris , 92290 Chatenay-Malabry, France anirban.chakraborti@ecp.fr;3. Laboratoire de Mathématiques Appliquées aux Systèmes, Ecole Centrale Paris , 92290 Chatenay-Malabry, France;4. National Institute of Chemical Physics and Biophysics , R?vala 10, 15042 Tallinn, Estonia;5. Instituto de Fisica Interdisciplinaire y Sistemas Complejos (CSIC-UIB) , E-07122 Palma de Mallorca, Spain
Abstract:This article is the second part of a review of recent empirical and theoretical developments usually grouped under the heading Econophysics. In the first part, we reviewed the statistical properties of financial time series, the statistics exhibited in order books and discussed some studies of correlations of asset prices and returns. This second part deals with models in Econophysics from the point of view of agent-based modeling. Of the large number of multi-agent-based models, we have identified three representative areas. First, using previous work originally presented in the fields of behavioral finance and market microstructure theory, econophysicists have developed agent-based models of order-driven markets that we discuss extensively here. Second, kinetic theory models designed to explain certain empirical facts concerning wealth distribution are reviewed. Third, we briefly summarize game theory models by reviewing the now classic minority game and related problems.
Keywords:Econophysics  Financial time series  Correlation  Agent based modelling
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