Evolutionary Game Model of Stock Price Synchronicity from Investor Behavior

Yue Dong, Yuhao Zhang, Jinnan Pan and Tingqiang Chen

Discrete Dynamics in Nature and Society, 2020, vol. 2020, 1-9

Abstract:

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.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnddns:7957282

DOI: 10.1155/2020/7957282

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