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
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