我国上市公司信用风险评价和度量——基于面板数据Logit模型的实证分析

The Credit Risk Evaluate for China Listed Companies: Based on Panel Data Logit Model

上市公司的信用风险识别有很多的方法,本文选择构建面板数据的Logit模型进行上市公司的信用风险评价,选择财务指标、市场指标和上市公司的存续时间作为解释变量,实证结果表明,该模型的评价结果具有较高的准确率,有趣的是,上市公司的存续时间和信用风险同向变动,这意味着上市公司的存续时间越长,越需要适当的监管。

The method to indentify listed companies＇ credit risk is numerous.This article choose Panel Data Logit model to assess listed companies＇ credit risk,and select financial indicators,market indicators and the survival time of listed companies as the explanatory variables.The empirical results show that the model has high accuracy,and it is interesting to find that the survival time of listed companies and changes in credit risk have the same direction,which means the longer listed companies survival,the more they need for adequate supervision.