In this paper, we describe a micro-founded simulation enviroment for decentralized trade in financial asset. Within the philosophy of computer simulated "artificial markets", this enviroments allows one to experiment in a modular fashion with (i) individual characterizations in terms of behaviors and learning, (ii) different architectural and institutional traits of the market, and (iii) time-embedding of events at the system and the individual level.
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Paper provided by Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy in its series LEM Papers Series with number
1999/02.
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