Assessing the Credit Risk of Corporate Bonds Based on Factor Analysis and Logistic Regress Analysis Techniques: Evidence from New Energy Enterprises in China

Sustainability

Xinhua Yu¹  Dong Zhou¹  Yuanxin Liu¹  Jiahai Yuan¹  FengYun Li¹ 

[1] School of Economics and Management, North China Electric Power University, Beijing 102206, China;

关键词: credit risk assessment;    corporate bonds;    Chinese new energy enterprise;    factor analysis;    logistic regress model;   

DOI  :  10.3390/su10051457

来源: DOAJ

【 摘 要 】

In recent years, new energy sources have ushered in tremendous opportunities for development. The difficulties to finance new energy enterprises (NEEs) can be estimated through issuing corporate bonds. However, there are few scientific and reasonable methods to assess the credit risk of NEE bonds, which is not conducive to the healthy development of NEEs. Based on this, this paper analyzes the advantages and risks of NEEs issuing bonds and the main factors affecting the credit risk of NEE bonds, constructs a hybrid model for assessing the credit risk of NEE bonds based on factor analysis and logistic regress analysis techniques, and verifies the applicability and effectiveness of the model employing relevant data from 46 Chinese NEEs. The results show that the main factors affecting the credit risk of NEE bonds are internal factors involving the company’s profitability, solvency, operational ability, growth potential, asset structure and viability, and external factors including macroeconomic environment and energy policy support. Based on the empirical results and the exact situation of China’s NEE bonds, this article finally puts forward several targeted recommendations.

【 授权许可】

Unknown