Learning Dynamics in an Artificial Currency Market

This paper considers the behavior of the exchange rate in a very simple artificial currency market with two currencies and artificial agents who evolve their forecast rules over time via a genetic algorithm. I consider two simple forecast rules, one linear and the other non-linear. Under the first rule, learning tends to be rapid and complete. Under the second, learning can generate persistent exchange rate dynamics.

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Year of publication:	2001-04-01
Authors:	Georges, Christophre
Institutions:	Society for Computational Economics - SCE
Subject:	Learning \| Genetic Algorithm \| Currency

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Extent:	application/pdf
Series:	Computing in Economics and Finance 2001.
Type of publication:	Book / Working Paper
Notes:	The text is part of a series Computing in Economics and Finance 2001 Number 31
Classification:	D83 - Search, Learning, Information and Knowledge ; D84 - Expectations; Speculations ; E44 - Financial Markets and the Macroeconomy
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005132895