• DocumentCode
    3721336
  • Title

    Stock price fluctuation under asymmetric information

  • Author

    Cheng Liu; Lan Tian; Yuting Huangfu; Lili Chen

  • Author_Institution
    Dongling School of Economics and Management, University of Science and Technology Beijing, China
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Basing on EKOP information trading model analysis framework, we selected 50 stocks each as sample from the mainboard, small and medium-sized board and GEM (Growth Enterprises Market) in Chinese stock market for empirical analysis. This paper discusses the fluctuation of stock price under the information asymmetry. Preliminary empirical results show that the average daily turnover rate and probability of informed trading has positive correlation, and it does not conform to the theoretical derivation. As for the empirical improvement, the liquidity risk, average stock price and probability of informed trading as supplementary explanation variables are introduced to do regression analysis. The results show that under the condition of asymmetric information, the higher the stock prices is, the greater the information transaction risk raises; the larger the value of the probability of informed trading becomes, the greater the impact on stock price fluctuation brings; meanwhile, the liquidity risk has no directly influence on the information transaction risk and stock price fluctuation.
  • Keywords
    "Mathematical model","Stock markets","Fluctuations","Maximum likelihood estimation","Correlation","Analytical models"
  • Publisher
    ieee
  • Conference_Titel
    Logistics, Informatics and Service Sciences (LISS), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/LISS.2015.7369616
  • Filename
    7369616