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An Adaptative Evolutionary Model Of Financial Investors


  • Boldea Bogdan Ion

    () (West University of Timişoara, Faculty of Economy and Business Administration)

  • Boldea Costin-Radu

    () (University of Craiova, Faculty of Mathematics and Computer Sciences)

  • Stanculescu Mircea

    () (“Spiru Haret” University, Faculty of Management and Accounting)


The main purpose of the paper is to determine a general behavior of a multi-agent model capable of describing the process of deliberation of an investors group witch may repeatedly decide whether to buy or sell an asset. Each adaptive agent was modeled as

Suggested Citation

  • Boldea Bogdan Ion & Boldea Costin-Radu & Stanculescu Mircea, 2009. "An Adaptative Evolutionary Model Of Financial Investors," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 4(1), pages 897-901, May.
  • Handle: RePEc:ora:journl:v:4:y:2009:i:1:p:897-901

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    References listed on IDEAS

    1. J. Doyne Farmer, 2002. "Market force, ecology and evolution," Industrial and Corporate Change, Oxford University Press, vol. 11(5), pages 895-953, November.
    2. Riechmann, Thomas, 1998. "Genetic Algorithms and Economic Evolution," Hannover Economic Papers (HEP) dp-219, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    3. Challet, D. & Zhang, Y.-C., 1997. "Emergence of cooperation and organization in an evolutionary game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 246(3), pages 407-418.
    4. Lux, T. & M. Marchesi, "undated". "Scaling and Criticality in a Stochastic Multi-Agent Model of a Financial Market," Discussion Paper Serie B 438, University of Bonn, Germany, revised Jul 1998.
    5. Jean-Philippe Bouchaud, 2002. "An introduction to statistical finance," Science & Finance (CFM) working paper archive 313238, Science & Finance, Capital Fund Management.
    6. Bouchaud, Jean-Philippe, 2002. "An introduction to statistical finance," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 313(1), pages 238-251.
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    More about this item


    Programming Models; Genetic algorithms; Information efficiency;

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading


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