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Self-Organization, Resilience and Robustness of Complex Systems Through an Application to Financial Market from an Agent-Based Approach

Author

Listed:
  • Iris Lucas

    (RI2C - LITIS - Equipe Réseaux d'interactions et Intelligence Collective - LITIS - Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes - ULH - Université Le Havre Normandie - NU - Normandie Université - UNIROUEN - Université de Rouen Normandie - NU - Normandie Université - INSA Rouen Normandie - Institut national des sciences appliquées Rouen Normandie - INSA - Institut National des Sciences Appliquées - NU - Normandie Université)

  • Michel Cotsaftis

    (ECE Paris)

  • Cyrille Bertelle

    (RI2C - LITIS - Equipe Réseaux d'interactions et Intelligence Collective - LITIS - Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes - ULH - Université Le Havre Normandie - NU - Normandie Université - UNIROUEN - Université de Rouen Normandie - NU - Normandie Université - INSA Rouen Normandie - Institut national des sciences appliquées Rouen Normandie - INSA - Institut National des Sciences Appliquées - NU - Normandie Université)

Abstract

This paper introduces the implementation of a computational agent-based financial market model in which the system is described on both microscopic and macroscopic levels. This artificial financial market model is used to study the system response when a shock occurs. Indeed, when a market experiences perturbations, financial systems behavior can exhibit two different properties: resilience and robustness. Through simulations and different scenarios of market shocks, these system properties are studied. The results notably show that the emergence of collective herding behavior when market shock occurs leads to a temporary disruption of the system self-organization. Numerical simulations highlight that the market can absorb strong mono-shocks but can also be led to rupture by low but repeated perturbations.

Suggested Citation

  • Iris Lucas & Michel Cotsaftis & Cyrille Bertelle, 2018. "Self-Organization, Resilience and Robustness of Complex Systems Through an Application to Financial Market from an Agent-Based Approach," Post-Print hal-02114928, HAL.
    • Handle: RePEc:hal:journl:hal-02114928
    DOI: 10.1142/S021812741850044X
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    References listed on IDEAS

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    2. Tang, Chun & Liu, Xiaoxing & Zhou, Donghai, 2022. "Financial market resilience and financial development: A global perspective," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).

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