Forecasting the yield of Chinese corporate bonds

Maojun Zhang, Hao Li
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Abstract

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.
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预测中国公司债券的收益率
在本文中,我们着重于预测债券市场的核心——收益率。采用动态Nelson-Siegel模型对中国AA、AA+和AAA级公司债的收益率进行了预测。实证结果表明,该模型不仅具有良好的样本内拟合效果,而且能够较好地反映不同信用等级公司债券收益率曲线的长、中、短期动态特征。最后,采用AR(1)模型对收益率曲线的三个因子进行预测。总体而言,这些结果对于开发更好的固定收益市场预测系统非常鼓舞人心。
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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