Evolutionary dynamics in markets with many trader types

被引:80
作者
Brock, WA
Hommes, CH
Wagener, FOO
机构
[1] Univ Amsterdam, CeNDEF, Dept Quantitat Econ, NL-1018 WB Amsterdam, Netherlands
[2] Univ Wisconsin, Dept Econ, Madison, WI 53706 USA
基金
美国国家科学基金会;
关键词
large multi-agent system; evolutionary learning; bounded rationality; bifurcation and chaos;
D O I
10.1016/j.jmateco.2004.02.002
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper develops the notion of a large type limit (LTL) describing the dynamical behavior of heterogeneous markets with many trader types. It is shown that generic and persistent features of adaptive evolutionary systems with many trader types are well described by the large type limit. Stability, bifurcation routes to instability and strange attractors in a simple evolutionary financial market model are studied. An increase in the "intensity of adaption" or in the diversity of beliefs may lead to deviations from an unstable RE fundamental benchmark and excess volatility. A large evolutionary system may thus become unstable and complicated dynamics may arise when agents become sensitive to small differences in fitness. (c) 2004 Elsevier B.V. All rights reserved.
引用
收藏
页码:7 / 42
页数:36
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