2001Simulation of Adaptive BehaviorRequires access

Market Diversity and Market Efficiency: The Approach Based on Genetic Programming

Chia-Hsuan Yeh, Shu‐Heng Chen

Open publisher page 18 citations

Abstract

The relation between market diversity and market efficiency has been studied. Economic heterogeneity is a fundamental driving force and an essential property in the economic systems. People who have different perspectives, technologies, or endowments may benefit from their trading behavior which constitutes economic activities. In this paper, economic simulation based on the growing field of artificial stock market is employed to study this issue. Market size and different learning styles are used to discuss the influence of heterogeneity. Simulation results have demonstrated that more participants and individual learning cause higher degree of traders’ diversity, which, in turn, enhances market efficiency.

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What this paper is about

The relation between market diversity and market efficiency has been studied. Economic heterogeneity is a fundamental driving force and an essential property in the economic systems. People who have different perspectives, technologies, or endowments may benefit from their trading behavior which constitutes economic activities. In this paper, economic simulation based on the growing field of artificial stock market is employed to study this issue. Market size and different learning styles are used to discuss the influence of heterogeneity. Simulation results have demonstrated that more participants and individual learning cause higher degree of traders’ diversity, which, in turn, enhances market efficiency.

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OpenAlex reports 18 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The relation between market diversity and market efficiency has been studied. Economic heterogeneity is a fundamental driving force and an essential property in the economic systems. People who have different perspectives, technologies, or endowments may benefit from their trading behavior which constitutes economic activities. In this paper, economic simulation based on the growing field of artificial stock market is employed to study this issue. Market size and different learning styles are used to discuss the influence of heterogeneity. Simulation results have demonstrated that more participants and individual learning cause higher degree of traders’ diversity, which, in turn, enhances market efficiency.

Key concepts: Diversity (politics), Stock market, Genetic programming, Industrial organization, Nonmarket forces, Factor market, Economic efficiency, Market microstructure

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