Evolutionary Game Model of Stock Price Synchronicity from Investor Behavior
Joint Authors
Dong, Yue
Pan, Jinnan
Zhang, Yuhao
Chen, Ting-Qiang
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-02-13
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Institutional and individual investors are the two important players in the stock market.
Together, they determine the price of the stock market.
In this paper, an evolutionary game model that contains the two groups of players is proposed to analyze the stock price synchronicity considering the impacts of investors’ decisions on stock investment.
Factors affecting investors’ decisions include the potential revenue or loss, the probability of gain or loss, and the cost of corresponding behavior.
The proposed game model is analyzed by replicator dynamics equations and simulation of the evolutionary equilibrium strategy under different circumstances.
The analysis shows that the operating cost of institutional investors, the cost of information collection before trading, and the expected loss that may be punished by regulators are the key factors that affect the evolutionary game system between institutional investors and individual investors.
In addition, reducing the speculation in the market and increasing the information access of investors through the serious operation mode of institutional investors and the strengthening of the market information disclosure mechanism are beneficial to alleviate price synchronicity in stock market.
American Psychological Association (APA)
Dong, Yue& Zhang, Yuhao& Pan, Jinnan& Chen, Ting-Qiang. 2020. Evolutionary Game Model of Stock Price Synchronicity from Investor Behavior. Discrete Dynamics in Nature and Society،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1153455
Modern Language Association (MLA)
Dong, Yue…[et al.]. Evolutionary Game Model of Stock Price Synchronicity from Investor Behavior. Discrete Dynamics in Nature and Society No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1153455
American Medical Association (AMA)
Dong, Yue& Zhang, Yuhao& Pan, Jinnan& Chen, Ting-Qiang. Evolutionary Game Model of Stock Price Synchronicity from Investor Behavior. Discrete Dynamics in Nature and Society. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1153455
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1153455