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Post Flash Crash Recovery: An Agent-based Analysis

Author

Listed:
  • Iryna Veryzhenko

    (LIRSA - Laboratoire interdisciplinaire de recherche en sciences de l'action - CNAM - Conservatoire National des Arts et Métiers [CNAM] - HESAM - HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université)

  • Nathalie Oriol

    (GREDEG - Groupe de Recherche en Droit, Economie et Gestion - UNS - Université Nice Sophia Antipolis (1965 - 2019) - CNRS - Centre National de la Recherche Scientifique - UniCA - Université Côte d'Azur)

Abstract

In this paper we focus on the traders that purely rely on algorithms in their decision making and their impact on market quality during moments of instability. We describe an agent-based framework that successfully reproduces main aspects of flash crash. We simulate the effect of a large liquidity shock generated by a very aggressive market order. We show that, despite the absence of market makers, the electronic order-book architecture favors market resiliency and recovery.

Suggested Citation

  • Iryna Veryzhenko & Nathalie Oriol, 2016. "Post Flash Crash Recovery: An Agent-based Analysis," Post-Print halshs-01444792, HAL.
    • Handle: RePEc:hal:journl:halshs-01444792
    DOI: 10.5220/0005707401900197
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    Cited by:

    1. Sébastien Duchêne & Nathalie Oriol, 2018. "Too fast, Too furious? Une réflexion historique et contemporaine sur l'emballement des marchés financiers," Post-Print halshs-01860721, HAL.

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