Autonomous agent models of stock markets

Hakman A. Wan; Andrew Hunter; Peter Dunne

doi:10.1023/A:1014500409896

Autonomous agent models of stock markets

Hakman A. Wan, Andrew Hunter, Peter Dunne

Hong Kong Metropolitan University

Research output: Contribution to journal › Article › peer-review

10 Citations (Scopus)

Abstract

The use of artificial agents in the study of stock markets has aroused much interest in the past two decades. Models of markets consisting of agents were built to reinforce or question theories in economics - including the principle of "negative feedback", the Efficient Market Hypothesis, and chaos theory. In this article, we review the development of these agent models, highlight key design issues and problems, and suggest some directions for future research.

Original language	English
Pages (from-to)	87-128
Number of pages	42
Journal	Artificial Intelligence Review
Volume	17
Issue number	2
DOIs	https://doi.org/10.1023/A:1014500409896
Publication status	Published - Apr 2002

Keywords

Agents
Efficient market hypothesis
Model
Price equilibrium

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10.1023/A:1014500409896

Cite this

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Autonomous agent models of stock markets

Abstract

Keywords

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