ANALYSTS' OPTIMISTIC TONE, STOCK PRICE SYNCHRONIZATION, AND STOCK PRICE CRASH RISK: EMPIRICAL EVIDENCE FROM CHINA

被引:0
|
作者
Zhao, Lei [1 ]
Feng, Lu [2 ]
Yang, Wei [3 ]
机构
[1] Zhengzhou Univ Aeronaut, Sch Business, 15 West Wenyuan Rd, Zhengzhou 450046, Henan, Peoples R China
[2] Beijing Univ Posts & Telecommun, 10 West Tucheng Rd, Beijing 100876, Peoples R China
[3] Wuhan Univ, Econ & Management Sch, 299 Bayi Ave, Wuhan 430072, Hubei, Peoples R China
来源
关键词
analysts' optimistic tone; text analysis; stock price synchronization; crash risk; FIRM-SPECIFIC INFORMATION; SHORT-SALES CONSTRAINTS; INVESTOR SENTIMENT; EARNINGS; MARKETS; COVERAGE; SYNCHRONICITY; DISCLOSURE; LIQUIDITY; INSIDERS;
D O I
暂无
中图分类号
F [经济];
学科分类号
02 ;
摘要
Information of listed companies disclosed by analysts to investors is conducive to increase the pricing efficiency of market. However, pricing efficiency may decrease if analysts write reports with an optimistic tone. To explore the influences of analysts' optimistic tone on pricing efficiency of market, optimistic tone indexes in analyst reports of A-share listed companies in China during 2009-2017 were extracted through text analysis in this study. On the basis of optimistic tone indexes, an empirical test of influences and acting mechanism of analysts' optimistic tone on stock price synchronization and stock price crash risk was carried out. Results demonstrate that analysts' optimistic tone decreases the stock price synchronization of listed companies significantly and intensifies the crash risk. In view of its mechanism, analysts' optimistic tone can decrease stock price synchronization of listed companies significantly when the performance of the company is increasing. However, analysts' optimistic tone drives investors to overreact to good news, thus generating bubbles of stock prices and increasing stock price crash risk. The conclusions obtained in this study disclose not only the internal logic behind analysts' optimistic tone to influence pricing efficiency, but also provide some enlightenment to lower the capital market risk further and increase pricing efficiency.
引用
收藏
页码:579 / 602
页数:24
相关论文
共 50 条
  • [41] Local corruption and stock price crash risk: Evidence from China
    Cao, Peng
    Qinb, Lu
    Zhu, Hongquan
    [J]. INTERNATIONAL REVIEW OF ECONOMICS & FINANCE, 2019, 63 : 240 - 252
  • [42] Stock liquidity and stock price crash risk: Evidence from Vietnam
    Dinh, Ngoc Bao
    Tran, Hy Nguyen Song
    [J]. COGENT BUSINESS & MANAGEMENT, 2023, 10 (03):
  • [43] The influence of lazy information disclosure on stock price crash risk: Empirical evidence from China
    Shi, Xiaofei
    Cao, Xuefen
    Xu, Wenxin
    Hou, Yangshi
    Shang, Liwei
    [J]. PLOS ONE, 2023, 18 (08):
  • [44] Does carbon price uncertainty affect stock price crash risk? Evidence from China
    Ren, Xiaohang
    Zhong, Yan
    Cheng, Xu
    Yan, Cheng
    Gozgor, Giray
    [J]. ENERGY ECONOMICS, 2023, 122
  • [45] An Empirical Investigation of Multinationality and Stock Price Crash Risk for MNCs in China
    Su, Larry
    Homapour, Elmina
    Caraffini, Fabio
    Chiclana, Francisco
    [J]. MATHEMATICS, 2022, 10 (19)
  • [46] LOCAL INSTITUTIONAL ENVIRONMENT AND STOCK PRICE CRASH RISK: EVIDENCE FROM CHINA
    Tang, Xiaojian
    Tsui, Stephanie
    Lo, Kuang-Ta
    [J]. SINGAPORE ECONOMIC REVIEW, 2020,
  • [47] Tax enforcement efforts and stock price crash risk: Evidence from China
    Chen, Shihua
    Ye, Yan
    Jebran, Khalil
    [J]. JOURNAL OF INTERNATIONAL FINANCIAL MANAGEMENT & ACCOUNTING, 2022, 33 (02) : 193 - 218
  • [48] Outward FDI and stock price crash risk-Evidence from China
    Liu, Haiyue
    Wang, Yile
    Huang, Ling
    Zhang, Xueyong
    [J]. JOURNAL OF INTERNATIONAL FINANCIAL MARKETS INSTITUTIONS & MONEY, 2021, 73
  • [49] Environmental information disclosure and stock price crash risk: Evidence from China
    Ge, Yongbo
    Chen, Qi
    Qiu, Shiwen
    Kong, Xiaoran
    [J]. FRONTIERS IN ENVIRONMENTAL SCIENCE, 2023, 11
  • [50] Customer concentration and stock price crash risk: new evidence from China
    Li, Jing
    Nie, Huihua
    Shen, Xinyi
    [J]. APPLIED ECONOMICS LETTERS, 2024,