Please wait a minute...
金融研究  2019, Vol. 473 Issue (11): 189-206    
  本期目录 | 过刊浏览 | 高级检索 |
投资者关注与市场反应——来自中国证券交易所交易公开信息的自然实验
刘杰, 陈佳, 刘力
福建农林大学经济学院,福建福州 350002;
北京大学习近平新时代中国特色社会主义思想研究院,北京 100871;
北京大学光华管理学院,北京 100871
Investor Attention and Market Reaction: A Natural Experiment Based on Trading Information Disclosure from Stock Exchanges in China
LIU Jie, CHEN Jia, LIU Li
College of Economics, Fujian Agriculture and Forestry University;
New Era Research Institute, Peking University;
Guanghua School of Management, Peking University
下载:  PDF (672KB) 
输出:  BibTeX | EndNote (RIS)      
摘要 涨停的股票能否被交易公开信息披露取决于收益率排名中的随机因素,与股票的基本面特征无关。本文利用这一机制设计自然实验检验了投资者关注对股价的影响。实证结果显示交易公开信息披露使股票受到投资者更多的关注,增加了小额资金的净流入,减少了大额资金的净流入和股价的短期收益率,抑制了股价短期波动率,同时降低了股价在长期发生反转的可能性。频繁登上交易公开信息的知名营业部买入的股票受到更多关注,相应的市场反应也更加显著。进一步的研究表明监管性信息披露引发的投资者关注通过降低市场信息不对称抑制了股价反转。
服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
刘杰
陈佳
刘力
关键词:  投资者关注  市场反应  交易公开信息    
Summary:  The impact of investor attention on asset pricing is critically important for the functioning of stock markets. This paper examines the effects of a type of attention-grabbing event, Trading Information Disclosure from China's stock exchanges, on investors' trading behavior and stock price performance.
It is difficult to empirically measure the impact of investor attention on stock prices because events that attract attention are often accompanied by the release of other valuable information on listed companies or special events related to them that contain information about the value of stocks. We use a natural experiment setting based on Trading Information Disclosure and upper price limits on China's stock exchanges. The natural experiment design eliminates confounding factors that occur simultaneously with attention-grabbing events and allows us to cleanly identify the impact of investor attention.
The treatment sample includes all A-share listed stocks that hit the upper price limits and were disclosed by Trading Information Disclosure on the Shanghai and Shenzhen Stock Exchanges from 2007 to 2015. The control sample includes all other stocks that hit the upper price limits without being disclosed. The advantage of this setting is that it can eliminate the interference of other factors.
The findings of this paper are threefold. (1) The treatment group has a significantly higher Baidu search index and excess turnover ratio during the event period, which indicates that the stocks disclosed under Trading Information Disclosure receive significantly more market attention than stocks in the control group. (2) Compared with the control group, the treatment group obtains more net inflows of small deals but fewer big deals. The treatment group also has lower excess return and idiosyncratic volatility in the short term and lower probability of price reversal in the long term. Further research also indicates that investor attention triggered by Trading Information Disclosure decreases the probability of price reversal by reducing market information asymmetry. (3) These effects are more significant for stocks bought by well-known security sales departments, which attract more market attention. The empirical results show that investor attention attracted by regulatory information disclosure reduces market information asymmetry and inhibits irrational price fluctuation.
Overall, investor attention, as an important factor in investor trading behavior, has a significant impact on asset prices. This paper shows that Trading Information Disclosure improves market efficiency, reduces information asymmetry, and decreases excessive stock price volatility. Academics, market regulators, and financial industry practitioners should be aware of the importance of reducing the irrational component of asset prices and take action to reduce market information asymmetry, inhibit irrational market volatility, and improve market pricing efficiency by constructing standard and appropriate information disclosure systems and investor education systems.
This paper contributes to the literature in three aspects. First, the natural experiment design allows us to more precisely observe the impact of investor attention on stock prices. Because random factors instead of stock fundamentals determine whether a stock that hits the upper price limits will be disclosed by Trading Information Disclosure, we can examine the impact of investor attention on stock prices more accurately.
Second, the literature argues that attention-grabbing events increase the trading of noise investors, which reduces market efficiency. However, a few studies have argued that investor attention due to regulatory information disclosure can reduce information asymmetry and improve market efficiency. This paper finds that Trading Information Disclosure makes price fluctuations more efficient. This paper thus supplements the literature about the beneficial effects of investor attention on the market.
Third, Trading Information Disclosure is an important part of the stock market information disclosure system in China. The information disclosed attracts the attention of a large number of institutional and individual investors because of its timeliness, authority, and unique value in trading. However, domestic researchers have not fully examined its effectiveness as an information disclosure system. This paper shows that Trading Information Disclosure achieves the role of reducing market information asymmetry and reducing excessive fluctuation of stock prices.
Keywords:  Investor Attention    Market Reaction    Trading Information Disclosure
JEL分类号:  G11   G12   G14  
基金资助: * 本文感谢国家自然科学基金(项目批准号:71903030;71403010;71371200)的资助。
作者简介:  刘 杰,金融学博士,副教授,福建农林大学经济学院,E-mail:liujie.14@pku.edu.cn.
陈 佳(通讯作者),金融学博士,助理教授,北京大学习近平新时代中国特色社会主义思想研究院,北京大学光华管理学院,E-mail:jia.j.chen@pku.edu.cn.
刘 力,工商管理硕士,教授,北京大学光华管理学院,E-mail:lli@pku.edu.cn.
引用本文:    
刘杰, 陈佳, 刘力. 投资者关注与市场反应——来自中国证券交易所交易公开信息的自然实验[J]. 金融研究, 2019, 473(11): 189-206.
LIU Jie, CHEN Jia, LIU Li. Investor Attention and Market Reaction: A Natural Experiment Based on Trading Information Disclosure from Stock Exchanges in China. Journal of Financial Research, 2019, 473(11): 189-206.
链接本文:  
http://www.jryj.org.cn/CN/  或          http://www.jryj.org.cn/CN/Y2019/V473/I11/189
[1]岑维、李士好和童娜琼,2014,《 投资者关注度对股票收益与风险的影响——基于深市“互动易”平台数据的实证研究》,《 证券市场导报》第7期,第40~47页。
[2]方颖和郭俊杰,2018,《 中国环境信息披露政策是否有效:基于资本市场反应的研究》,《经济研究》第53卷第10期,第158~174页。
[3]冯旭南,2017,《注意力影响投资者的股票交易行为吗?——来自 “股票交易龙虎榜” 的证据》,《 经济学 (季刊)》第1期,第255~274页。
[4]金宇超、靳庆鲁和李晓雪,2017,《资本市场注意力总量是稀缺资源吗?》,《金融研究》第10期,第166~181页。
[5]李小晗和朱红军,2011,《投资者有限关注与信息解读》,《金融研究》第8期,第128~142页。
[6]李茁,2016,《证交所交易信息披露的信息含量研究——基于龙虎榜数据的实证》,《上海金融》第11期,第73~77页。
[7]彭叠峰、饶育蕾和雷湘媛,2015,《基于注意力传染机制的股市动量与反转模型研究》,《中国管理科学》第23卷第5期,第 32~40页。
[8]饶育蕾、彭叠峰和成大超,2010,《 媒体注意力会引起股票的异常收益吗?——来自中国股票市场的经验证据》,《系统工程理论与实践》第30卷第2期,第287~297页。
[9]于李胜和王艳艳,2010,《 信息竞争性披露、投资者注意力与信息传播效率》,《金融研究》第8期,第112~135页。
[10]Andrei D, Hasler M. 2015. “Investor Attention and Stock Market Volatility” Review of Financial Studies, 28(1): 33~72.
[11]Barber B M, Odean T, and Zhu N. 2009. “Systematic Noise” Journal of Financial Markets,12(4):547~569.
[12]Barber B M, Odean T.2008. “All That Glitters: The Effect of Attention and News on The Buying Behavior of Individual and Institutional Investors” Review of Financial Studies,21(2):785~818.
[13]Barber B M, Zhu N. 2009. “Do Retail Trades Move Markets?” Review of Financial Studies, 22(1):151~186.
[14]Baron R M, Kenny D A. 1986. “The Moderator-Mediator Variable Distinction in Social Psychological Research: Conceptual, Strategic, and Statistical Considerations” Journal of Personality and Social Psychology, 51(6): 1173.
[15]Chan W S. 2003. “Stock Price Reaction to News and No-news: Drift and Reversal after Headlines” Journal of Financial Economics, 70(2): 223~260.
[16]Chemmanur T, Yan A. 2009. “Product Market Advertising and New Equity Issues” Journal of Financial Economics, 92(1): 40~65.
[17]Foucault T, Sraer D, and Thesmar D J.2011. “Individual Investors and Volatility” The Journal of Finance, 66(4): 1369~1406.
[18]Graham J R, Kumar A.2006. “Do Dividend Clienteles Exist? Evidence on Dividend Preferences of Retail Investors” Journal of Finance, 61(3):1305~1336.
[19]Hirshleifer D, Lim S S, and Teoh S H.2011. “Limited Investor Attention and Stock Market Misreactions to Accounting Information” The Review of Asset Pricing Studies, 1(1): 35~73.
[20]Jin L, Myers S C. 2006. “R 2 Around The World: New Theory and New Tests” Journal of Financial Economics, 79(2): 257~292.
[21]Lee J, Yi C H. 2001. “Trade Size and Information-Motivated Trading in the Options and Stock Markets” Journal of Financial & Quantitative Analysis, 36(4):485~501.
[22]Llorente G, Michaely R, Saar G, and Wang J.2001.“Dynamic Volume-Return Relation of Individual Stocks” Review of Financial Studies, 15(4):1005~1047.
[23]Loh R K.2010.“Investor Inattention and the Under-reaction to Stock Recommendations” Financial Management, 39(3): 1223~1252.
[24]Seasholes M S, Wu G.2007.“Predictable Behavior, Profits, and Attention” Journal of Empirical Finance, 14(5): 590~610.
[25]Shefrin H, Statman M. 1985.“The Disposition to Sell Winners too Early and Ride Losers too Long: Theory and Evidence” The Journal of finance, 40(3): 777~790.
[26]Wang B.2016.“The Causal Effect of Investor Attention”Working Paper.
[27]Yuan Y.2015.“Market-wide Attention, Trading, and Stock Returns” Journal of Financial Economics, 116(3): 548~564.
[1] 杨涛, 郭萌萌. 投资者关注度与股票市场——以PM2.5概念股为例[J]. 金融研究, 2019, 467(5): 190-206.
[2] 方军雄,伍琼,傅颀. 有限注意力、竞争性信息与分析师评级报告市场反应[J]. 金融研究, 2018, 457(7): 193-206.
[3] 陈运森, 邓祎璐, 李哲. 非处罚性监管具有信息含量吗?——基于问询函的证据[J]. 金融研究, 2018, 454(4): 155-171.
[4] 钟覃琳, 陆正飞, 袁淳. 反腐败、企业绩效及其渠道效应——基于中共十八大的反腐建设的研究[J]. 金融研究, 2016, 435(9): 161-176.
[5] 杨晓兰, 沈翰彬, 祝宇. 本地偏好、投资者情绪与股票收益率:来自网络论坛的经验证据[J]. 金融研究, 2016, 438(12): 143-158.
[6] 邵新建, 何明燕, 江萍, 薛熠, 廖静池. 媒体公关、投资者情绪与证券发行定价[J]. 金融研究, 2015, 423(9): 190-207.
[1] 王曦, 朱立挺, 王凯立. 我国货币政策是否关注资产价格?——基于马尔科夫区制转换BEKK多元GARCH模型[J]. 金融研究, 2017, 449(11): 1 -17 .
[2] 刘勇政, 李岩. 中国的高速铁路建设与城市经济增长[J]. 金融研究, 2017, 449(11): 18 -33 .
[3] 况伟大, 王琪琳. 房价波动、房贷规模与银行资本充足率[J]. 金融研究, 2017, 449(11): 34 -48 .
[4] 祝树金, 赵玉龙. 资源错配与企业的出口行为——基于中国工业企业数据的经验研究[J]. 金融研究, 2017, 449(11): 49 -64 .
[5] 陈德球, 陈运森, 董志勇. 政策不确定性、市场竞争与资本配置[J]. 金融研究, 2017, 449(11): 65 -80 .
[6] 牟敦果, 王沛英. 中国能源价格内生性研究及货币政策选择分析[J]. 金融研究, 2017, 449(11): 81 -95 .
[7] 高铭, 江嘉骏, 陈佳, 刘玉珍. 谁说女子不如儿郎?——P2P投资行为与过度自信[J]. 金融研究, 2017, 449(11): 96 -111 .
[8] 吕若思, 刘青, 黄灿, 胡海燕, 卢进勇. 外资在华并购是否改善目标企业经营绩效?——基于企业层面的实证研究[J]. 金融研究, 2017, 449(11): 112 -127 .
[9] 姜军, 申丹琳, 江轩宇, 伊志宏. 债权人保护与企业创新[J]. 金融研究, 2017, 449(11): 128 -142 .
[10] 刘莎莎, 孔高文. 信息搜寻、个人投资者交易与股价联动异象——基于股票送转的研究[J]. 金融研究, 2017, 449(11): 143 -157 .
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
版权所有 © 《金融研究》编辑部
本系统由北京玛格泰克科技发展有限公司设计开发 技术支持:support@magtech.com.cn
京ICP备11029882号-1