• DocumentCode
    3050030
  • Title

    Analysis of stock market information — a new financial engineering approach

  • Author

    Yao, Feng ; Ying, Yirong ; Zhang, Lingwen

  • Author_Institution
    Fac. of Econ., Kagawa Univ., Takamatsu, Japan
  • fYear
    2010
  • fDate
    20-23 June 2010
  • Firstpage
    430
  • Lastpage
    435
  • Abstract
    In this paper we introduce a new financial engineering approach to the investigation of information flow between two world stock markets. We apply the one-way effect causal measure approach presented by Yao and Hosoya (2000) and Yao (2007) to the analysis of systematic information transmission between stock markets of China, the US and Japan. In view of a high technical time series modeling, we see that both of the information flows from New York stock market and Tokyo stock market to Shanghai stock market are strong and short-run. The reverse, the information flow from Shanghai stock market to New York stock market and also to Tokyo stock market are statistically existed but comparatively weak and very steady. The one-way effect approach is found to be successfully revealed transmission of stock market information.
  • Keywords
    economic indicators; stock markets; time series; China; Japan; New York stock market; Shanghai stock market; Tokyo stock market; US; financial engineering; high technical time series modeling; information flow; one-way effect causal measure approach; stock market information analysis; systematic information transmission analysis; Automation; Conference management; Educational institutions; Frequency domain analysis; Information analysis; International trade; Stock markets; Testing; Time measurement; Time series analysis; Financial Engineering; Granger´s non-causality; Information Flow; Modeling Technique; Stock Market Information;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Automation (ICIA), 2010 IEEE International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4244-5701-4
  • Type

    conf

  • DOI
    10.1109/ICINFA.2010.5512374
  • Filename
    5512374