Research on Credit Risk Identification Model of Listed Companies

摘要

To establish an effective quantitative model of measuring the credit risk of listed companies, improve the governance of capital market, and to enhance the core competitiveness of public companies, this paper is dedicated to a research on the credit risk identification models. Using the mathematical methods of descriptive statistics, principal component analysis, and logistic regression, assuming "ST" companies as samples of low credibility (breach of contracts), non-ST companies as normal samples, and some specific financial indicators as explanatory variables, the paper established a quantitative model to identify the credit risk of China's listed companies.