• DocumentCode
    508273
  • Title

    Analyzing Effects of Monetary Policy Change on Government Bond Yield Curve in Exchange by Using GRNN

  • Author

    Zhou Zikang ; Zhang Qiangjin ; Yang Heng

  • Author_Institution
    Acad. of Math. & Syst. Sci., CAS, Beijing, China
  • Volume
    1
  • fYear
    2009
  • fDate
    14-16 Aug. 2009
  • Firstpage
    75
  • Lastpage
    80
  • Abstract
    In order to research the effects of monetary policy to government bonds market, we adopt event study methodology to deeply analyze government bonds yield of four key terms, 1-year, 3-year, 7-year and 10-year, which construct from NSM term structure of interest rates model which use date on Shanghai exchange over the last year. Since we combine unit root with structural break test and t-test to fix on event period and adopt General Regression Neural Network (GRNN) model to forecast yields in every event period, our results are objective. The results show that the effects of adjusting the deposit reserve ratio to government bonds yields stranger than adjusting benchmark rate´s when they were impacted by one same monetary policy. Our results have some important value to macro-control as well as to investors in China.
  • Keywords
    neural nets; regression analysis; stock markets; Shanghai exchange; general regression neural network; government bond market; government bond yield curve; macro-control; monetary policy change; Benchmark testing; Bonding; Content addressable storage; Economic indicators; Government; Mathematical model; Mathematics; Neural networks; Predictive models; Supply and demand; Effects of Monetary Policy; General Regression Neural Network (GRNN); Government Bonds; NSM-Model; Yield Curve;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation, 2009. ICNC '09. Fifth International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-0-7695-3736-8
  • Type

    conf

  • DOI
    10.1109/ICNC.2009.366
  • Filename
    5366392