• DocumentCode
    1651459
  • Title

    Notice of Retraction
    Researching conductivity of the financial markets based on Granger-Causality model

  • Author

    Xueqin Zhang ; Hao Gong

  • Author_Institution
    Sch. of Inf. Manage., Chengdu Univ. of Technol., Chengdu, China
  • Volume
    2
  • fYear
    2010
  • Firstpage
    653
  • Lastpage
    657
  • Abstract
    Notice of Retraction

    After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

    We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

    The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

    This paper not only uses the bivariate vector autoregressive (BVAR) model to discuss Granger-Causality of stock markets and bases on the result of causality to study the conductivity of the financial markets, but also empirically analyze changing character of conductivity between up period and down period. The empirical results show that in the whole sample period Shanghai stork market and Shenzhen stork market mutually conducted, Singapore stork market and Shenzhen stork market mutually conducted, Singapore stork market to Shanghai is unidirectional conducted relationship. The conductivity of Shanghai, Shenzhen and Singapore stork market in down period is more complex and more intense than in up period.
  • Keywords
    autoregressive processes; finance; stock markets; Granger-Causality model; Shanghai stork market; Shenzhen stork market; bivariate vector autoregressive; financial markets; stock markets; Analytical models; Biological system modeling; Conductivity; BVAR; Conductivity; Financial market; Granger-Causality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Management Science (ICAMS), 2010 IEEE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-6931-4
  • Type

    conf

  • DOI
    10.1109/ICAMS.2010.5553006
  • Filename
    5553006