首页> 外文会议>International Conference on Natural Computation;ICNC '09 >Analyzing Effects of Monetary Policy Change on Government Bond Yield Curve in Exchange by Using GRNN
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Analyzing Effects of Monetary Policy Change on Government Bond Yield Curve in Exchange by Using GRNN

机译:应用GRNN分析货币政策变动对交易所国债收益曲线的影响。

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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 rateȁ9;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.
机译:为了研究货币政策对政府债券市场的影响,我们采用事件研究的方法,从NSM的角度对1年期,3年期,7年期和10年期四个关键术语的国债收益率进行深入分析。利率模型的期限结构,该模型使用了去年上海交易所的日期。由于我们将单位根与结构破坏测试和t检验相结合来确定事件周期,并采用通用回归神经网络(GRNN)模型来预测每个事件周期的收益,因此我们的结果是客观的。结果表明,在同一货币政策的影响下,调整存款准备金率对政府债券的收益要比调整基准利率ȁ9高​​得多。我们的结果对宏观调控以及中国的投资者都具有重要的价值。

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