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中国管理科学 ›› 2023, Vol. 31 ›› Issue (8): 278-286.doi: 10.16381/j.cnki.issn1003-207x.2021.1369

• 论文 • 上一篇    

一个股价波动理论研究的新见解:基于异质情绪交易视角

张小成1, 2, 3, 朱东炬1, 2, 3, 刘明显1   

  1. 1.贵州财经大学大数据应用与经济学院,贵州 贵阳550025; 2.贵州省绿色金融与生态环境保护协同创新中心,贵州 贵阳550025;3.贵州省高等学校数字金融与人工智能实验室,贵州 贵阳550025
  • 收稿日期:2021-07-11 修回日期:2022-04-12 出版日期:2023-08-15 发布日期:2023-08-28
  • 通讯作者: 张小成(1978-),男(回族),湖南洞口人,贵州财经大学大数据应用与经济学院,教授,博士,研究方向:金融工程与证券投资,Email:zxchxj@163.com. E-mail:zxchxj@163.com
  • 基金资助:
    国家自然科学基金资助项目(71861007);贵州财经大学校级重点项目(2019XZD01)

A New Perspective of Theoretical Research on Stock Price Volatility:Based on the Perspective of Heterogeneous Emotional Trading

ZHANG Xiao-cheng1, 2, 3, ZHU Dong-ju1, 2, 3, LIU Ming-xian1   

  1. 1. School of Big Data Application and Economics,Guizhou University of Finance and Economics, Guiyang 550025, China;2. Guizhou Collaborative Innovation Center of Green Finance and Ecological Environment Protection, Guiyang 550025, China;3. Guizhou Provincial Higher Education Digital Finance and Artificial Intelligence Lab, Guizhou University of Finance and Economics, Guiyang 550025, China
  • Received:2021-07-11 Revised:2022-04-12 Online:2023-08-15 Published:2023-08-28
  • Contact: 张小成 E-mail:zxchxj@163.com

摘要: 传统金融理论中理性人假设并不能有效解释我国股票市场现象。国内学者基于行为金融理论,考虑投资者行为对股票市场的影响,但理论分析不足且鲜有聚焦于异质交易者情绪交易行为。因此本文从投资者情绪异质视角,把股票市场投资者划分为乐观交易者与悲观交易者,建立数学模型从理论上推导乐观情绪投资者、悲观情绪投资者与异质交易者结构对股票波动的交互影响机理。研究结果表明:乐观交易者占比较小的情况下,随着悲观情绪的缓和,乐观情绪对股价波动的效应是倒U形曲线;而随着乐观情绪的高涨,悲观情绪的缓和对股价波动同样呈倒U形。当乐观交易者占比很高时,乐观交易者情绪高涨与悲观情绪缓和均会助推股价波动。从异质交易者结构来看,乐观交易者占比对股价波动影响效应为正U形曲线,而更高水平的乐观情绪与更低水平的悲观情绪会提前其效应的反转。本文的研究结果较好地解释了牛熊市、虚假信息披露与宏观调控政策低效等事实的存在逻辑,为优化交易者结构,改善信息披露质量,进而防范股票市场系统性风险提供了理论依据。

关键词: 异质交易者, 乐观情绪, 悲观情绪, 异质交易者结构, 股票波动

Abstract: Compared with the mature stock market, the Chinese stock market has typical sentiment market characteristics. This is due to the lack of professional knowledge of individual investors, the characteristics of emotional trading, and the high proportion of individual investor transactions. As a result, the motive of institutional collusion is stronger than the supervision effect, and the institution cannot effectively play the role of value correction, which affects the healthy development of the stock market. In addition, the research of foreign scholars is mostly based on the mature market of their own country, and the research is not applicable to China; the domestic research is mostly based on empirical analysis, and the theoretical analysis is insufficient and rarely focuses on the emotional trading behavior of heterogeneous traders. Therefore, from the perspective of investor sentiment heterogeneity, this paper divides stock market investors into optimistic traders and pessimistic traders, and uses the CARA utility function to establish a mathematical model that conforms to the characteristics of China's stock market. The actual impact of changes in the proportion of emotional traders on stock price volatility. The research results show that: when the proportion of optimistic traders is small, as pessimism eases, the effect of optimism on stock price volatility is an inverted U-shaped curve; and as optimism rises, the ease of pessimism has the same effect on stock price fluctuations. Inverted U shape. When the proportion of optimistic traders is high, both the increase in optimistic investor sentiment and the easing of pessimism will boost stock price volatility. From the perspective of the heterogeneous trader structure, the effect of the proportion of optimistic investors on stock price volatility is a positive U-shaped curve, and higher levels of optimism and lower levels of pessimism will lead to the reversal of their effects. Numerical simulations are also carried out in this paper to verify the rationality of the results in this paper. The research results of this paper better explain the existence logic of bull and bear markets, false information disclosure and inefficiency of macro-control policies in the emotional market, and provide suggestions for optimizing the structure of traders, improving the quality of information disclosure, and preventing systemic risks in the stock market. theoretical basis.

Key words: heterogeneous tradersl, optimism, pessimism, heterogeneous trader structure, stock volatility

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