Networks and Imitations in an Agent based Asset Market

Souhir Masmoudi


We propose an agent-based approach to analyze the influence of network structure and investors’ mimicking behavior on price dynamics and the market share of agents. We consider a model that involves two different forecasting strategies for investors: chartists and fundamentalists. Investors switch between the two strategies by either copying (a) the strategy used by the most profitable agent in her neighborhood (most profitable rule), or (b) the strategy with the highest average profitability in her neighborhood (average rule). Our results show that the most profitable rule exhibits greater volatility in terms of the fraction of agents using each strategy. This volatility is higher when (i) there are more random links given the size of local neighborhood, and (ii) the size of neighborhood is larger. Because the price volatility increases monotonically with an increase in the proportion of chartists, such volatility in the fraction of strategies used by agents leads to unstable prices.


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Paper Citation

in Harvard Style

Masmoudi S. (2014). Networks and Imitations in an Agent based Asset Market . In Doctoral Consortium - DCAART, (ICAART 2014) ISBN Not Available, pages 56-65

in Bibtex Style

author={Souhir Masmoudi},
title={Networks and Imitations in an Agent based Asset Market},
booktitle={Doctoral Consortium - DCAART, (ICAART 2014)},
isbn={Not Available},

in EndNote Style

JO - Doctoral Consortium - DCAART, (ICAART 2014)
TI - Networks and Imitations in an Agent based Asset Market
SN - Not Available
AU - Masmoudi S.
PY - 2014
SP - 56
EP - 65
DO -