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Dynamic Research for Term Structure of Repo Interest Rate Based on TGARCH

机译:基于TGARCH的回购利率期限结构动态研究

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In the process of China's marketization of interest rates, researching the term structure of interest rates has very important theoretical and practical significance to the development and improvement of China's financial market. In the paper, time series theories, such as GARCH and TGARCH model, are respectively applied to estimate the term structure of repo interest rate based on the basic model. The empirical results show: 1) As to the fitting results, the TGARCH model is better than the GARCH model for fitting the term structure of one day, 7 days, 14 days, one month, and two months repo interest rate. 2) The 7 days, 14 days, one month, and two months repo interest rate have very strong mean-reversion characteristic. But one day repo interest rate does not have remarkable linear meanreversion characteristic. 3) Diffusions of term structure of the one day, 7 days, 14 days, one month, and two months repo interest rate have obvious asymmetry.
机译:在中国利率市场化的过程中,研究利率期限结构对中国金融市场的发展和完善具有重要的理论和现实意义。本文采用时间序列理论,如GARCH和TGARCH模型,分别在基本模型的基础上估计回购利率的期限结构。实证结果表明:1)关于拟合结果,TGARCH模型在拟合1日,7天,14天,1个月和2个月回购利率期限结构方面优于GARCH模型。 2)7天,14天,1个月和2个月回购利率具有很强的均值回归特征。但是一日回购利率没有明显的线性均值回归特征。 3)一天,7天,14天,一个月和两个月的回购利率期限结构存在明显的不对称性。

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