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中国管理科学 ›› 2026, Vol. 34 ›› Issue (1): 60-71.doi: 10.16381/j.cnki.issn1003-207x.2024.0361cstr: 32146.14.j.cnki.issn1003-207x.2024.0361

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货币政策公告前的股价漂移:形成机理与影响因素

马勇1, 陈犁1, 陈炜2()   

  1. 1.湖南大学金融与统计学院,湖南 长沙 410079
    2.首都经济贸易大学管理工程学院,北京 100070
  • 收稿日期:2024-03-13 修回日期:2024-10-23 出版日期:2026-01-25 发布日期:2026-01-29
  • 通讯作者: 陈炜 E-mail:chenwei@cueb.edu.cn
  • 基金资助:
    国家自然科学基金面上项目(72371098);国家自然科学基金面上项目(72071134)

Pre-Monetary Policy Announcement Drift of Stock Price: Formation Mechanism and Determinants

Yong Ma1, Li Chen1, Wei Chen2()   

  1. 1.College of Finance and Statistics,Hunan University,Changsha 410079,China
    2.School of management and Engineering,Capital University of Economics and Business,Beijing 100070,China
  • Received:2024-03-13 Revised:2024-10-23 Online:2026-01-25 Published:2026-01-29
  • Contact: Wei Chen E-mail:chenwei@cueb.edu.cn

摘要:

在我国央行不断加强政策沟通的背景下,探讨货币政策相关信息的发布如何影响资本市场,对于防范信息冲击导致的系统性风险具有重要意义。本文研究了货币政策公告发布前的股价漂移现象的形成机理及其影响因素。理论上,在连续时间理性预期模型框架中,引入了代表央行沟通的公共信息以及股价对货币政策冲击的敏感性,进而分析私有信息、公共信息与股价敏感程度对公告前股价漂移幅度的影响。实证上,采用2010-2022年的A股非金融行业数据进行经验分析,以验证理论模型的含义。研究发现,当私有信息精度越高或公共信息精度越低时,信息不对称越严重,股价漂移幅度越大。机制分析表明,信息不对称会影响投资者的信息获取行为,进而导致股价漂移。调节效应分析表明,股价对货币政策冲击越敏感,信息不对称导致的股价漂移越大。

关键词: 信息不对称, 货币政策公告, 股价漂移, 理性预期模型

Abstract:

In the context of the ongoing enhancement of policy communication by the People's Bank of China, exploring how the dissemination of monetary policy-related information impacts the capital market is crucial for mitigating systemic risks arising from information shocks. The formation mechanism and determinations behind stock price drift prior to the announcement of monetary policy are examined. Theoretically, within the framework of a continuous-time rational expectations model, public information—representing the central bank's communication—and the sensitivity of stock prices to monetary policy shocks are introduced to analyze the effects of private information, public information, and stock price sensitivity on the extent of stock price drift before announcements. Empirically, A-share non-financial industry data from 2010 to 2022 are used for analysis to validate the implications of the theoretical model. The findings indicate that when the precision of private information is higher or the precision of public information is lower, information asymmetry intensifies, resulting in a larger stock price drift. Mechanism analysis reveals that information asymmetry influences investors' information acquisition behavior, thereby contributing to stock price drift. Furthermore, moderating effect analysis demonstrates that the greater the sensitivity of stock prices to monetary policy shocks, the larger the stock price drift size resulting from information asymmetry.

Key words: information asymmetry, monetary policy announcement, stock price drift, rational expectations model

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