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From Minority Games to $-Games

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  • Jørgen Vitting Andersen

    () (CES - Centre d'économie de la Sorbonne - CNRS - Centre National de la Recherche Scientifique - UP1 - Université Panthéon-Sorbonne)

Abstract

In this chapter we will first argue for the use of game theory/agent-based modeling, to go beyond the standard methods used in traditional approach of Finance. First will be introduced some very general thoughts of elements needed in a new framework for Finance. Then some few concrete examples of heterogeneous agent-based models will be introduced and several of their main results will be discussed. Finally applications and methods to real market data will be introduced, notably the idea of "decoupling" to explain the short-lasting synchronization of investors.

Suggested Citation

  • Jørgen Vitting Andersen, 2014. "From Minority Games to $-Games," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00971373, HAL.
  • Handle: RePEc:hal:cesptp:halshs-00971373
    Note: View the original document on HAL open archive server: https://halshs.archives-ouvertes.fr/halshs-00971373
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    References listed on IDEAS

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    1. Challet, Damien & Zhang, Yi-Cheng, 1998. "On the minority game: Analytical and numerical studies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 256(3), pages 514-532.
    2. Johnson, Neil F & Hart, Michael & Hui, P.M, 1999. "Crowd effects and volatility in markets with competing agents," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 269(1), pages 1-8.
    3. Challet, Damien & Marsili, Matteo & Zhang, Yi-Cheng, 2013. "Minority Games: Interacting agents in financial markets," OUP Catalogue, Oxford University Press, number 9780199686698.
    4. Johnson, Neil F. & Jefferies, Paul & Hui, Pak Ming, 2003. "Financial Market Complexity," OUP Catalogue, Oxford University Press, number 9780198526650.
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    Keywords

    Agent-based modeling; price formation;

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