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An Adaptative Evolutionary Model Of Financial Investors

Author

Listed:
  • 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)

Abstract

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
    as

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    File URL: http://steconomice.uoradea.ro/anale/volume/2009/v4-management-and-marketing/183.pdf
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    References listed on IDEAS

    as
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    3. Thomas Lux & Michele Marchesi, 1999. "Scaling and criticality in a stochastic multi-agent model of a financial market," Nature, Nature, vol. 397(6719), pages 498-500, February.
    4. 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.
    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.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Programming Models; Genetic algorithms; Information efficiency;
    All these keywords.

    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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