• DocumentCode
    2903176
  • Title

    Volatility Research Based on SHIBOR

  • Author

    Zhang, Xiaofeng ; Yao, Lan ; Yang, Qi

  • Author_Institution
    Sch. of Econ. & Manage., Changsha Univ. of Sci. & Technol., Changsha, China
  • fYear
    2011
  • fDate
    17-18 Oct. 2011
  • Firstpage
    77
  • Lastpage
    81
  • Abstract
    The research makes quantitative analysis of the volatility of SHIBOR based on the mainly four interest rates through the family of GARCH models by Eviews 6.0. Empirical results show that the family of GARCH models eliminates correlation of the original overnight interest rate and 1-week interest rate series successfully, and there is an obvious reversions in the asymmetric behavior of the volatility. All the results reflect that our interest rate setting mechanism is still not fully determined by the market, but influenced by government soundly. So it is necessary for all price offers to promote their internal management level, improve the pricing mechanism, especially the accuracy of SHIBOR which the term is more than 3 months so as to consolidate SHIBOR benchmark status.
  • Keywords
    autoregressive moving average processes; economic indicators; pricing; Eviews 6.0; GARCH models; SHIBOR; autoregressive moving average processes; interest rates; internal management level; pricing mechanism; volatility research; Analytical models; Biological system modeling; Correlation; Economic indicators; Equations; Gaussian distribution; Mathematical model; GARCH; PARCH; SHIBOR; TARCH; volatility;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Business Intelligence and Financial Engineering (BIFE), 2011 Fourth International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4577-1541-9
  • Type

    conf

  • DOI
    10.1109/BIFE.2011.156
  • Filename
    6121092