The influences of information demand and supply on stock price synchronicity

被引:0
作者
Yu-Fen Chen
Cheng-Few Lee
Fu-Lai Lin
机构
[1] Da-Yeh University,Department of Business Administration
[2] Rutgers University,Department of Finance and Economics, School of Business
[3] Da-Yeh University,Department of Finance
来源
Review of Quantitative Finance and Accounting | 2023年 / 61卷
关键词
Stock price synchronicity; Investor attention; Media coverage; News tone; Firm-specific information environment; D82; G12; G14;
D O I
暂无
中图分类号
学科分类号
摘要
This study investigates how information flow affects the determinants of stock price synchronicity, with a focus on the role of investors' information demand and supply. We analyze quarterly data for S&P500 constituents from 2010 to 2020, using Google search volume index and media coverage as a proxy for information demand and supply, respectively. Our results show that higher information demand lowers stock price synchronicity, as greater interest in a firm exposes more firm-specific information. We also find a negative association between media coverage and stock price synchronicity, implying that media coverage helps stock prices better reflect firm-specific information. The tone of news further moderates this negative effect. However, our analysis does not confirm a stronger negative relationship between media coverage and stock price synchronicity for firms with more opaque information environments. Overall, our study offers new insights into the impact of information flow on stock price synchronicity, benefiting investors and policy makers in portfolio allocation and financial market monitoring.
引用
收藏
页码:1151 / 1176
页数:25
相关论文
共 164 条
[1]  
Albarrak MS(2020)The effect of twitter dissemination on cost of equity: a big data approach Int J Inf Manage 50 1-16
[2]  
Elnahass M(2004)Is all that talk just noise? The information content of internet stock message boards J Financ 59 1259-1294
[3]  
Papagiannidis S(2006)Investor sentiment and the cross-section of stock returns J Financ 61 1645-1680
[4]  
Salama A(2001)The internet and the investor J Econ Perspect 15 41-54
[5]  
Antweiler W(2005)Comovement J Financ Econ 75 283-317
[6]  
Frank MZ(2018)Can Twitter help predict firm-level earnings and stock returns? Account Rev 93 25-57
[7]  
Baker M(2017)It depends on where you search: Institutional investor attention and underreaction to news Rev Financ Stud 30 3009-3047
[8]  
Wurgler J(2014)The role of dissemination in market liquidity: evidence from firms' use of Twitter Account Rev 89 79-112
[9]  
Barber BM(2020)Market uncertainty and the importance of media coverage at earnings announcements J Account Econ 69 308-316
[10]  
Odean T(2009)Block ownership and firm-specific information J Bank Finance 33 107-129