Research on Credit Risk of Corporate Bond Based on Principal Component Analysis and Cluster Analysis

被引：0

作者：

Liu, Jingwei ^{[1
]}

Luo, Tianyong ^{[1
]}

机构：

[1] Guizhou Univ Finance & Econ, Sch Finance, Guiyang 550025, Guizhou, Peoples R China

来源：

PROCEEDINGS OF THE FIFTH SYMPOSIUM OF RISK ANALYSIS AND RISK MANAGEMENT IN WESTERN CHINA (WRARM 2017) | 2017年 / 152卷

关键词：

Corporate bonds; Credit risk; Profitability; Solvency;

D O I：

暂无

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

In this paper, through the collection of corporate bond market data to conduct empirical research, Constructing 12 Index Systems, Using the principal component analysis method to extract the five principal component indicators, On the basis of principal component analysis, two kinds of clustering analysis were used to classify the data into two categories, And finally draw the corresponding conclusion: The profitability and solvency of the industry is the key to distinguish the credit rating of the enterprise. It is the main factor to distinguish between the two types of corporate bonds and the focus of the investors' investment.

引用

页码：191 / 196

页数：6