The cellular automaton model of investment behavior in the stock market

Yi Ming Wei; Shang Jun Ying; Ying Fan; Bing Hong Wang

doi:10.1016/S0378-4371(03)00144-4

The cellular automaton model of investment behavior in the stock market

Yi Ming Wei
, Shang Jun Ying
, Ying Fan
, Bing Hong Wang^*

^*此作品的通讯作者

CAS - Institutes of Science and Development
University of Science and Technology Beijing
University of Science and Technology of China

科研成果: 期刊稿件 › 文章 › 同行评审

49 引用（Scopus）

摘要

The modeling theory and method using cellular automata are applied to the study on the complexity in the stock market. An evolution model based on cellular automaton for the investment behavior in the stock market is formulated. The simulation results and analyses of various states of the stock market show that investors' imitation degree and the macro factors are the key determinants to the stability of the stock market. We observed that more diversity in the investment views of agents and lower imitation among investors are in favor of the normal development of the stock market.

源语言	英语
页（从-至）	507-516
页数	10
期刊	Physica A: Statistical Mechanics and its Applications
卷	325
期	3-4
DOI	https://doi.org/10.1016/S0378-4371(03)00144-4
出版状态	已出版 - 15 7月 2003
已对外发布	是

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title = "The cellular automaton model of investment behavior in the stock market",

abstract = "The modeling theory and method using cellular automata are applied to the study on the complexity in the stock market. An evolution model based on cellular automaton for the investment behavior in the stock market is formulated. The simulation results and analyses of various states of the stock market show that investors' imitation degree and the macro factors are the key determinants to the stability of the stock market. We observed that more diversity in the investment views of agents and lower imitation among investors are in favor of the normal development of the stock market.",

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T1 - The cellular automaton model of investment behavior in the stock market

AU - Wei, Yi Ming

AU - Ying, Shang Jun

AU - Fan, Ying

AU - Wang, Bing Hong

PY - 2003/7/15

Y1 - 2003/7/15

N2 - The modeling theory and method using cellular automata are applied to the study on the complexity in the stock market. An evolution model based on cellular automaton for the investment behavior in the stock market is formulated. The simulation results and analyses of various states of the stock market show that investors' imitation degree and the macro factors are the key determinants to the stability of the stock market. We observed that more diversity in the investment views of agents and lower imitation among investors are in favor of the normal development of the stock market.

AB - The modeling theory and method using cellular automata are applied to the study on the complexity in the stock market. An evolution model based on cellular automaton for the investment behavior in the stock market is formulated. The simulation results and analyses of various states of the stock market show that investors' imitation degree and the macro factors are the key determinants to the stability of the stock market. We observed that more diversity in the investment views of agents and lower imitation among investors are in favor of the normal development of the stock market.

KW - Cellular automaton

KW - Complexity system

KW - Investment behavior

KW - Stock market

UR - https://www.scopus.com/pages/publications/0037671437

U2 - 10.1016/S0378-4371(03)00144-4

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M3 - 文章

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SN - 0378-4371

VL - 325

SP - 507

EP - 516

JO - Physica A: Statistical Mechanics and its Applications

JF - Physica A: Statistical Mechanics and its Applications

IS - 3-4

ER -

The cellular automaton model of investment behavior in the stock market

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