Stock Crashes and Jumps Reactions to Information Demand and Supply: An Intraday Analysis

被引:6
|
作者
Chu, Gang [1 ]
Li, Xiao [2 ]
Shen, Dehua [1 ]
Zhang, Yongjie [1 ]
机构
[1] Tianjin Univ, Coll Management & Econ, Tianjin 300072, Peoples R China
[2] Nankai Univ, Sch Finance, Tianjin 300350, Peoples R China
基金
中国国家自然科学基金;
关键词
Information asymmetry; Information supply; Information demand; Intraday crashes; Intraday jumps; INVESTOR ATTENTION; CORPORATE GOVERNANCE; RISK EVIDENCE; RETURN; NEWS; LIQUIDITY; MARKET; MODEL; BULL; COVERAGE;
D O I
10.1007/s10690-020-09327-z
中图分类号
F [经济];
学科分类号
02 ;
摘要
The objective of this paper is to examine the possible linkage between the intraday stock price crashes and jumps and public information by using data from the Chinese stock market and Baidu Index. We divided public information into two kinds of information: supply through online media and information demand across inquiries by individual investors. Using a large sample from Chinese listed firms from 2013 to 2019, our evidence clearly indicates that online information supply and demand both have a positive impact on the intraday crashes and jumps; this is, the firm with higher information supply and demand more likely to experience intraday crashes and jumps. The results are robust to an alternative measure of crash risk. Moreover, we further examine whether the market conditions have an impact on the relationship between information flow and intraday crashes and jumps, and find that the marginal effect of information supply on intraday price crashes and jumps is smaller in the bull market phase. Moreover, the bull market phase enhances the effect of information demand on intraday price crashes and jumps.
引用
收藏
页码:397 / 427
页数:31
相关论文
共 50 条
  • [31] Order Choices: An Intraday Analysis of the Taiwan Stock Exchange
    Lien, Donald
    Hung, Pi-Hsia
    Lo, Hsiang-Yu
    [J]. NORTH AMERICAN JOURNAL OF ECONOMICS AND FINANCE, 2022, 62
  • [32] An intraday analysis of block orders on the Taiwan Stock Exchange
    Lien, Donald
    Hung, Pi-Hsia
    Wu, Yi-Hsien
    [J]. QUARTERLY REVIEW OF ECONOMICS AND FINANCE, 2023, 88 : 133 - 147
  • [33] Information demand and stock return predictability
    Chronopoulos, Dimitris K.
    Papadimitriou, Fotios I.
    Vlastakis, Nikolaos
    [J]. JOURNAL OF INTERNATIONAL MONEY AND FINANCE, 2018, 80 : 59 - 74
  • [34] Information demand and stock market volatility
    Vlastakis, Nikolaos
    Markellos, Raphael N.
    [J]. JOURNAL OF BANKING & FINANCE, 2012, 36 (06) : 1808 - 1821
  • [35] ANALYSIS OF SURVEY ON SUPPLY AND DEMAND OF SCIENTIFIC AND TECHNICAL INFORMATION OF VENEZUELA
    MENDA, E
    MOLLEJAS, LM
    [J]. ACTA CIENTIFICA VENEZOLANA, 1971, 22 : 24 - +
  • [36] STOCK-PRICES AND THE SUPPLY OF INFORMATION
    BRENNAN, MJ
    HUGHES, PJ
    [J]. JOURNAL OF FINANCE, 1991, 46 (05): : 1665 - 1691
  • [37] Market liquidity and macro announcement around intraday jumps: Evidence from Chinese stock index futures markets
    Sun, Bianxia
    Gao, Yang
    [J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2020, 541 (541)
  • [38] The role of oil futures intraday information on predicting US stock market volatility
    Tang, Yusui
    Xiao, Xiao
    Wahab, M. I. M.
    Ma, Feng
    [J]. JOURNAL OF MANAGEMENT SCIENCE AND ENGINEERING, 2021, 6 (01) : 64 - 74
  • [39] Intraday technical analysis of individual stocks on the Tokyo Stock Exchange
    Yamamoto, Ryuichi
    [J]. JOURNAL OF BANKING & FINANCE, 2012, 36 (11) : 3033 - 3047
  • [40] The role of oil futures intraday information on predicting US stock market volatility
    Yusui Tang
    Xiao Xiao
    MIMWahab
    Feng Ma
    [J]. Journal of Management Science and Engineering, 2021, (01) - 74