Analyzing China’s Term Structure of Interest Rates Using VAR and Nelson-Siegel Model

Min Ding
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引用次数: 1

Abstract

China’s bonds market has developed rapidly in recent years. A further study of interest rate term structure is essential. Nelson-Siegel model is widely used to fit interest rate term structure around the world. In this essay, we try to find out whether Nelson-Siegel model is efficiency in China, and which model is most efficient among some typical variants of Nelson-Siegel model. After brief theoretical introduction, we conduct empirical analysis, which contains two sections. In the first session, we focus on fitting Chinese interest rate term structure using Nelson-Siegel model, and fitting efficiency turns out to be pretty good. In the second section, we establish a VAR model with macroeconomic variables to predict parameters in Nelson-Siegel model, and use the combination of VAR and NS model to predict interest rate term structure in 2019 and 2020 respectively. Also, in terms of prediction efficiency, VAR (Macro)-NS model performs better than both VAR-NS model without macroeconomic variables and simple NS model.
运用VAR和Nelson-Siegel模型分析中国利率期限结构
近年来,中国债券市场发展迅速。对利率期限结构的进一步研究是必要的。Nelson-Siegel模型在世界范围内广泛应用于利率期限结构的拟合。在本文中,我们试图找出Nelson-Siegel模型在中国是否有效,以及在Nelson-Siegel模型的几个典型变体中,哪个模型是最有效的。在简要的理论介绍之后,我们进行了实证分析,实证分析分为两个部分。在第一部分中,我们重点研究了用Nelson-Siegel模型拟合中国利率期限结构,结果表明拟合效率不错。在第二部分中,我们建立了一个带有宏观经济变量的VAR模型来预测Nelson-Siegel模型中的参数,并将VAR和NS模型相结合,分别预测了2019年和2020年的利率期限结构。在预测效率方面,VAR (Macro)-NS模型优于不含宏观经济变量的VAR-NS模型和简单的NS模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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