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应该用哪一个模型来描述中国货币市场利率的动态变化
引用本文:潘冠中,马晓兰.应该用哪一个模型来描述中国货币市场利率的动态变化[J].数量经济技术经济研究,2006,23(12):54-63.
作者姓名:潘冠中  马晓兰
作者单位:1. 上海财经大学高等研究院;云南财经大学财政金融学院
2. 云南财经大学统计与信息学院
基金项目:感谢上海财经大学金融学院俞自由教授的指导,感谢美国所罗门兄弟公司邵斌博士提出的建议,当然文责自负.感谢博纬公司(www.fiol.com.cn)提供了银行问市场利率数据.
摘    要:本文论证了双曲模型是描述中国货币市场利率动态变化的最佳单因子利率模型。由极大似然估计可以得到单因子利率模型的边际密度函数。双曲模型的边际密度和非参数估计得到的边际密度函数拟合较好,其表现远远优于几个常见的利率模型(CIR、CKLS和AG模型)。与较一般的Ait-Sahalia模型相比差别很小,但参数形式得到简化,似然比检验也支持这一点。双曲模型在刻画利率的均值回复特征方面还克服了AG模型的不足。

关 键 词:极大似然估计  非参数估计  边际密度函数  双曲模型

Which Model Should Be Appropriate to Describe the Dynamics of Chinese Money Market Interest Rates
Pan Guanzhong.Which Model Should Be Appropriate to Describe the Dynamics of Chinese Money Market Interest Rates[J].The Journal of Quantitative & Technical Economics,2006,23(12):54-63.
Authors:Pan Guanzhong
Abstract:This article demonstrates that hyperbolic model is the most suitable single-factor interest rate model to describe the dynamics of Chinese money market interest rates. The marginal densities of single-factor interest rate models can be obtained by maximum likelihood estimation. The marginal density of hyperbolic model can fit the marginal density obtained by nonparametric estimation very well, outperforming some popular interest rate models, such as CIR, CKLS and AG model; the difference between hyperbolic model and Ait-Sahalia model is small, but the parametric form of hyperbolic model is reduced, and the likelihood ratio test also support this. Furthermore, hyperbolic model characterize the mean reversion of interest rates better than AG model.
Keywords:Maximum Likelihood Estimation  Nonparametric Estimation  Marginal Density Function  Positive Hyperbolic Model
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