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
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:
Yong Ma1, Li Chen1, Wei Chen2(
)
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。
中图分类号:
马勇,陈犁,陈炜. 货币政策公告前的股价漂移:形成机理与影响因素[J]. 中国管理科学, 2026, 34(1): 60-71.
Yong Ma,Li Chen,Wei Chen. Pre-Monetary Policy Announcement Drift of Stock Price: Formation Mechanism and Determinants[J]. Chinese Journal of Management Science, 2026, 34(1): 60-71.
表2
变量描述性统计量"
| 变量 | 样本数 | 均值 | 标准差 | 最小值 | 中位数 | 最大值 |
|---|---|---|---|---|---|---|
| 3159 | 0.063 | 1.734 | -9.703 | 0.190 | 9.689 | |
| 3159 | 0.015 | 1.399 | -9.373 | 0.062 | 7.443 | |
| 3013 | 128.895 | 56.639 | 35.713 | 117.766 | 357.999 | |
| 319605 | 0.396 | 4.786 | -13.269 | 0.299 | 16.414 | |
| 319605 | 0.306 | 4.137 | -11.790 | 0.061 | 14.441 | |
| 296345 | 0.150 | 0.043 | 0.065 | 0.146 | 0.272 | |
| 318473 | 0.091 | 0.144 | 0.001 | 0.047 | 0.969 | |
| 298261 | 0.002 | 0.884 | -2.214 | 0.013 | 2.030 | |
| 298284 | -1.061 | 12.120 | -47.182 | -0.796 | 33.185 | |
| 298284 | 2.625 | 1.332 | 0.746 | 2.323 | 7.994 | |
| 286016 | 1.346 | 0.958 | 0.301 | 1.075 | 7.675 | |
| 318305 | 0.623 | 0.251 | 0.129 | 0.616 | 1.191 | |
| 319599 | 0.028 | 0.036 | -0.080 | 0.020 | 0.156 | |
| 319602 | 22.366 | 1.090 | 20.181 | 22.235 | 25.628 | |
| 294752 | -0.002 | 0.329 | -0.608 | -0.029 | 1.173 | |
| 316123 | -0.008 | 0.512 | -0.719 | -0.100 | 2.586 |
表3
央行沟通不确定性对市场收益率的影响"
| 变量 | EW | VW | ||
|---|---|---|---|---|
| (1) | (2) | (3) | (4) | |
| 0.2619*** | 0.2787*** | 0.1207* | 0.1289* | |
| (0.0826) | (0.0859) | (0.0664) | (0.1610) | |
| -0.0045*** | -0.0033*** | |||
| (0.0014) | (0.0011) | |||
| 0.0049*** | 0.0037*** | |||
| (0.0017) | (0.0013) | |||
| 常数项 | -0.1177 | 0.1506 | -0.1447 | 0.0580 |
| (0.1824) | (0.2005) | (0.1554) | (0.1689) | |
| 年份效应 | Yes | Yes | Yes | Yes |
| 月份效应 | Yes | Yes | Yes | Yes |
| 星期效应 | Yes | Yes | Yes | Yes |
| 观测值 | 3159 | 3013 | 3159 | 3013 |
| 0.017 | 0.025 | 0.010 | 0.017 | |
表4
信息不对称影响公告漂移的回归结果"
| 变量 | ||||
|---|---|---|---|---|
| (1) | (2) | (3) | (4) | |
| 4.3940*** | 3.8849*** | 4.7430*** | 4.1506*** | |
| (0.2093) | (0.2490) | (0.2062) | (0.2450) | |
| -0.0975*** | -0.1070*** | |||
| (0.0261) | (0.0256) | |||
| -1.9594*** | -1.7116*** | |||
| (0.4093) | (0.4001) | |||
| -0.0141 | -0.0126 | |||
| (0.0097) | (0.0098) | |||
| -0.0299*** | -0.0306*** | |||
| (0.0011) | (0.0011) | |||
| -0.0658*** | -0.0727*** | |||
| (0.0174) | (0.0172) | |||
| -0.1576*** | -0.1642*** | |||
| (0.0104) | (0.0101) | |||
| -0.2211*** | -0.2575*** | |||
| (0.0751) | (0.0740) | |||
| -0.7210*** | -0.7590*** | |||
| (0.0909) | (0.0892) | |||
| 常数项 | 0.6000** | 3.7950*** | 2.1684*** | 5.6107*** |
| (0.2434) | (0.6534) | (0.2376) | (0.6405) | |
| 个体固定效应 | Yes | Yes | Yes | Yes |
| 时间固定效应 | Yes | Yes | Yes | Yes |
| 观测值 | 296345 | 263480 | 296345 | 263480 |
| 0.312 | 0.317 | 0.118 | 0.123 | |
表 9
市场不确定性变化分析"
| 变量 | 高不确定性时期 | 低不确定性时期 | ||
|---|---|---|---|---|
| (1) | (2) | (3) | (4) | |
| -0.0570 | 0.0365 | -0.0576** | -0.0274 | |
| (0.0522) | (0.0497) | (0.0251) | (0.0247) | |
| 0.1307* | 0.0299 | 0.0010 | -0.0040 | |
| (0.0684) | (0.0633) | (0.0195) | (0.0265) | |
| -0.0554 | 0.0823* | -0.0063 | 0.0492* | |
| (0.0640) | (0.0469) | (0.0197) | (0.0290) | |
| 0.0240 | 0.0733 | -0.0194 | 0.0484** | |
| (0.0526) | (0.0720) | (0.1797) | (0.0243) | |
| -0.0608*** | -0.0840** | 0.0137 | 0.0852*** | |
| (0.0223) | (0.0358) | (0.0105) | (0.0204) | |
| 0.0047 | -0.0900** | 0.0274 | 0.0334 | |
| (0.0366) | (0.0420) | (0.0278) | (0.0254) | |
| 常数项 | 0.0075* | 0.0020 | 0.0045 | -0.0097 |
| (0.0045) | (0.0075) | (0.0050) | (0.0137) | |
| 观测值 | 3010 | 1946 | 3010 | 1946 |
| 0.0061 | 0.0103 | 0.0009 | 0.0060 | |
表 10
股价的货币政策敏感性的调节效应"
| 变量 | ||||
|---|---|---|---|---|
| (1) | (2) | (3) | (4) | |
| 0.1693 | -1.7726** | 0.9878 | -0.6755 | |
| (0.6811) | (0.7379) | (0.8879) | (0.7378) | |
| 0.2270** | 0.2114** | |||
| (0.0632) | (0.0870) | |||
| -2.0845** | -1.7560** | |||
| (0.5882) | (0.8198) | |||
| -0.8099*** | -0.8512*** | |||
| (0.1066) | (0.1073) | |||
| 5.1473*** | 4.2650*** | |||
| (0.6385) | (0.6375) | |||
| 常数项 | 3.8194*** | 4.5381*** | 3.9242*** | 6.3104*** |
| (0.6639) | (0.6627) | (0.6434) | (0.6527) | |
| 控制变量 | Yes | Yes | Yes | Yes |
| 个体固定效应 | Yes | Yes | Yes | Yes |
| 时间固定效应 | Yes | Yes | Yes | Yes |
| 观测值 | 229506 | 263480 | 229506 | 263480 |
| 0.323 | 0.317 | 0.118 | 12.31 | |
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