Learning Dynamics in an Artificial Currency Market

Christophre Georges ()

No 31, Computing in Economics and Finance 2001 from Society for Computational Economics

Abstract: 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.

Keywords: Learning; Genetic Algorithm; Currency (search for similar items in EconPapers)
JEL-codes: D83 D84 E44 (search for similar items in EconPapers)
Date: 2001-04-01
New Economics Papers: this item is included in nep-evo, nep-fmk and nep-ifn
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:sce:scecf1:31

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