• DocumentCode
    2897491
  • Title

    Empirical Study to the Price Volatility and Information Flow of China Stock

  • Author

    Liu, Yan-Chun ; Han, Ru-mei ; Liu, Jing

  • Author_Institution
    Coll. of Bus. Adm., LiaoNing Univ., Shenyang
  • fYear
    2006
  • fDate
    13-16 Aug. 2006
  • Firstpage
    3594
  • Lastpage
    3599
  • Abstract
    This article uses the cointegration technique of the econometrics to select the volume of trade and trade times as information flow agent variable and from the point of view of the personal share it makes an empirical study to the relationship between the stock price and the information flow in the bond market. The result indicates that the stock price, trading volume and trading times have the positive correlation. It supports the effect which the trading volume and trading times acting as the information flow agent variables have on the stock price volatility. The result gained has certain reference value to know the microcosmic structure of China stock market and to make the behavior of the market more standard
  • Keywords
    econometrics; pricing; stock markets; China stock market; cointegration technique; econometrics; empirical method; information flow agent variable; microcosmic structure; stock price volatility; trade times; trade volume; Bonding; Cybernetics; Econometrics; Educational institutions; Electronic mail; Equations; Machine learning; Reflection; Stock markets; TV broadcasting; Testing; Uncertainty; Cointegration; Test of unit root; Volatility; information flow; vector error modified;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2006 International Conference on
  • Conference_Location
    Dalian, China
  • Print_ISBN
    1-4244-0061-9
  • Type

    conf

  • DOI
    10.1109/ICMLC.2006.258577
  • Filename
    4028694