Forecasting the yield of Chinese corporate bonds

被引:2
|
作者
Zhang, Maojun [1 ]
Li, Hao [1 ]
机构
[1] Guilin Univ Elect Technol, Sch Computat Sci & Math, Guilin, Peoples R China
基金
中国国家自然科学基金;
关键词
corporate bonds; yield curve; Nelson-Siegel model; AR(1) model; TERM STRUCTURE; MODEL;
D O I
10.1504/IJCSE.2020.109402
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In this paper we focus on predicting the yield that is the centrepiece of bond markets. The dynamic Nelson-Siegel model is used to predict the yield of the Chinese corporate bonds with a class of AA, AA+ and AAA ratings. Our empirical results show that this model not only provides good in-sample fit, but also indicates the long-term, medium-term and short-term dynamic features of the yield curve of the corporate bonds with different credit ratings. Finally, we employ AR(1) model to forecast the three factors of the yield curve. Overall, the outcomes are very encouraging for the development of better forecasting systems for fixed income markets.
引用
收藏
页码:431 / 436
页数:6
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