Public data acces and stock price synchronicity: Evidence from China*

被引:12
作者
Du, Jiayue [1 ]
Gao, Haoyu [2 ]
Wen, Huiyu [2 ,4 ]
Ye, Yanyi [3 ]
机构
[1] Chinese Univ Hong Kong, Shenzhen Finance Inst, Sch Management & Econ, Shenzhen, Peoples R China
[2] Renmin Univ China, Sch Finance, Beijing, Peoples R China
[3] Beijing Univ Chem Technol, Coll Econ & Management, Beijing, Peoples R China
[4] Renmin Univ China, Sch Finance, Beijing 100872, Peoples R China
基金
中国国家自然科学基金;
关键词
Information-acquisition costs; Information infrastructure; Public data access; Stock price synchronicity; INFORMATION; EARNINGS; DISCLOSURE; TECHNOLOGY; COVERAGE; INTERNET;
D O I
10.1016/j.econmod.2023.106591
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper investigates how public data facilitates financial market informativeness. The increasing information efficiency in digital economics has raised great attention in extant literature. Using the staggered difference-indifferences approach, we investigate how public data access enhanced by establishing governmental public data platforms affects stock price synchronicity, measured by the relative importance of firm-specific information to market-level information capitalized into stock prices. We find that public data access significantly reduces local firms' stock price synchronicity. The underlying mechanism is that public data access mitigates informationacquisition costs and facilitates the incorporation of firm-specific information into investors' decision-making rather than increased market attention or corporate disclosure quality. Public data platforms' informational role is magnified when investors face higher informed trade risk or concern about poor corporate governance. Under the urgent need for value realization of data elements, we provide essential implications in promoting public data opening to improve financial market efficiency.
引用
收藏
页数:16
相关论文
共 65 条
  • [31] GROSSMAN SJ, 1980, AM ECON REV, V70, P393
  • [32] Impact of the digital economy on high-quality urban economic development: Evidence from Chinese cities
    Guo, Bingnan
    Wang, Yu
    Zhang, Hao
    Liang, Chunyan
    Feng, Yu
    Hu, Feng
    [J]. ECONOMIC MODELLING, 2023, 120
  • [33] Does Voluntary Disclosure Improve Stock Price Informativeness?
    Haggard, K. Stephen
    Martin, Xiumin
    Pereira, Raynolde
    [J]. FINANCIAL MANAGEMENT, 2008, 37 (04) : 747 - 768
  • [34] Macro news and micro news: Complements or substitutes?
    Hirshleifer, David
    Sheng, Jinfei
    [J]. JOURNAL OF FINANCIAL ECONOMICS, 2022, 145 (03) : 1006 - 1024
  • [35] Taxpayer Search for Information: Implications for Rational Attention
    Hoopes, Jeffrey L.
    Reck, Daniel H.
    Slemrod, Joel
    [J]. AMERICAN ECONOMIC JOURNAL-ECONOMIC POLICY, 2015, 7 (03) : 177 - 208
  • [36] Product Market Competition and Managerial Disclosure of Earnings Forecasts: Evidence from Import Tariff Rate Reductions
    Huang, Ying
    Jennings, Ross
    Yu, Yong
    [J]. ACCOUNTING REVIEW, 2017, 92 (03) : 185 - 207
  • [37] How does digital finance affect regional innovation capacity? A spatial econometric analysis*
    Hui, Peng
    Zhao, Hui
    Liu, Desheng
    Li, Ye
    [J]. ECONOMIC MODELLING, 2023, 122
  • [38] How does China's stock market react to the announcement of the COVID-19 pandemic lockdown?
    Huo, Xiaolin
    Qiu, Zhigang
    [J]. ECONOMIC AND POLITICAL STUDIES-EPS, 2020, 8 (04): : 436 - 461
  • [39] Can FinTech Competition Improve Sell-Side Research Quality?
    Jame, Russell
    Markov, Stanimir
    Wolfe, Michael C.
    [J]. ACCOUNTING REVIEW, 2021, 97 (04) : 287 - 316
  • [40] Information acquisition costs and credit spreads
    Jaskowski, Marcin
    Rettl, Daniel A.
    [J]. JOURNAL OF BANKING & FINANCE, 2023, 149