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Authors: Sadek Benhammada 1 ; Frédéric Amblard 2 and Salim Chikhi 1

Affiliations: 1 University of Constantine 2, Algeria ; 2 Université Toulouse 1 Capitole, France

ISBN: 978-989-758-220-2

Keyword(s): Agent-based Models, Computational Economics, Artificial Stock Markets, Social Networks, Mimetism.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Bioinformatics ; Biomedical Engineering ; Computational Intelligence ; Distributed and Mobile Software Systems ; Economic Agent Models ; Enterprise Information Systems ; Evolutionary Computing ; Information Systems Analysis and Specification ; Knowledge Discovery and Information Retrieval ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Machine Learning ; Methodologies and Technologies ; Multi-Agent Systems ; Operational Research ; Simulation ; Soft Computing ; Software Engineering ; Symbolic Systems

Abstract: Agent-based artificial stock markets attracted much attention over the last years, and many models have been proposed. However, among them, few models take into account the social interactions and mimicking behaviour of traders, while the economic literature describes investors on financial markets as influenced by decisions of their peers and explains that this mimicking behaviour has a decisive impact on price dynamics and market stability. In this paper we propose a continuous double auction model of financial market, populated by heterogeneous traders who interact through a social network of influence. Traders use different investment strategies, namely: fundamentalists who make a decisions based on the fundamental value of assets; hybrids who are initially fundamentalists, but switch to a speculative strategy when they detect an uptrend in prices; noise traders who don’t have sufficient information to take rational decisions, and finally mimetic traders who imitate the decisions of their mentors on the interactions network. An experimental design is performed to show the feasibility and utility of the proposed model. (More)

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Paper citation in several formats:
Benhammada, S.; Amblard, F. and Chikhi, S. (2017). An Artificial Stock Market with Interactions Network and Mimetic Agents.In Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-220-2, pages 390-397. DOI: 10.5220/0006118803900397

@conference{icaart17,
author={Sadek Benhammada. and Frédéric Amblard. and Salim Chikhi.},
title={An Artificial Stock Market with Interactions Network and Mimetic Agents},
booktitle={Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2017},
pages={390-397},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006118803900397},
isbn={978-989-758-220-2},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - An Artificial Stock Market with Interactions Network and Mimetic Agents
SN - 978-989-758-220-2
AU - Benhammada, S.
AU - Amblard, F.
AU - Chikhi, S.
PY - 2017
SP - 390
EP - 397
DO - 10.5220/0006118803900397

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