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Network topology and the behaviour of socially-embedded financial markets

Author

Listed:
  • Olivier Brandouy

    (GREThA - Groupe de Recherche en Economie Théorique et Appliquée - UB - Université de Bordeaux - CNRS - Centre National de la Recherche Scientifique)

  • Philippe Mathieu

Abstract

We study the impact of the network topology on various market parameters (volatility, liquidity and efficiency) when three populations or artificial trades interact (Noise, Informed and Social Traders). We show, using an agent-based set of simulations that choosing a Regular, a Erdös-Rényi or a scale free network and locating on each vertex one Noise, Informed or Social Trader, substantially modifies the dynamics of the market. The overall level of volatility, the liquidity and the resulting efficiency are impacted by this initial choice in various ways which also depends upon the proportion of Informed vs. Noise Traders.

Suggested Citation

  • Olivier Brandouy & Philippe Mathieu, 2018. "Network topology and the behaviour of socially-embedded financial markets," Post-Print hal-03116382, HAL.
    • Handle: RePEc:hal:journl:hal-03116382
    DOI: 10.1007/978-3-319-94779-2_9
    as

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