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散户关注度与股票收益:来自市场、行业及个股的分析

熊熊 张宇彤 高雅

系统管理学报2026,Vol.35Issue(2):525-542,18.
系统管理学报2026,Vol.35Issue(2):525-542,18.DOI:10.3969/j.issn2097-4558.2026.02.016

散户关注度与股票收益:来自市场、行业及个股的分析

Retail Investor Attention and Stock Returns:Evidence from Market,Industry,and Individual Stock Perspectives

熊熊 1张宇彤 2高雅3

作者信息

  • 1. 天津大学 管理与经济学部,天津 300072||天津大学 复杂管理系统实验室,天津 300072
  • 2. 天津大学 管理与经济学部,天津 300072
  • 3. 大连理工大学 经济管理学院,辽宁 大连 116024
  • 折叠

摘要

Abstract

Using stock codes search data from A-share mainboard listed companies in Shanghai and Shenzhen markets,this paper constructs retail investor attention indicators at market,industry,and individual stock levels to investigate their impacts on stock returns.The findings reveal positive correlations between retail investor attention and same-day stock returns across all three dimensions.However,distinct patterns emerge in longer-term performance:industry-level and individual stock-level attention indicators exhibit long-term reversal effects on returns,whereas market-level attention demonstrates persistent influence without significant subsequent reversal.Further analysis confirms that market-level attention exhibits more remarkable persistence than industry and individual stock dimensions.After controlling for contemporaneous market-wide attention,industry-and stock-specific attention measures maintain their long-term reversal effects,consistent with their impacts on individual stock returns.These results remain robust after excluding extreme risk events,controlling for the December effect,and employing alternative measurement methodologies.Additionally,the impact of attention on stock returns displays heterogeneity across market risk states,manifesting more pronounced effects during high-risk market conditions.

关键词

散户/投资者关注度/百度指数/股票收益/A股

Key words

retail investors/investor attention/Baidu Index/stock returns/A-share stock market

分类

管理科学

引用本文复制引用

熊熊,张宇彤,高雅..散户关注度与股票收益:来自市场、行业及个股的分析[J].系统管理学报,2026,35(2):525-542,18.

基金项目

国家自然科学基金资助项目(72471044,72141304,72001033) (72471044,72141304,72001033)

科技部重点研发项目课题(2022YFC3303304) (2022YFC3303304)

系统管理学报

2097-4558

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