Network topology and the behaviour of socially-embedded financial markets

Olivier Brandouy and Philippe Mathieu
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Olivier Brandouy: GREThA - Groupe de Recherche en Economie Théorique et Appliquée - UB - Université de Bordeaux - CNRS - Centre National de la Recherche Scientifique

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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.

Keywords: Agent based; Commerce; Efficiency; Financial data processing; Financial markets; Multi agent systems; Network topology; Topology (search for similar items in EconPapers)
Date: 2018
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Published in Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection, 887, Springer, Cham, pp.93-104, inPress, 978-3-319-94778-5. ⟨10.1007/978-3-319-94779-2_9⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-03116382

DOI: 10.1007/978-3-319-94779-2_9

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