The Credit Risk Assessment Model of Internet Supply Chain Finance: Bayesian Networks Model Based on Relative Weight

被引：0

作者：

Zhong, Baoyu ^{[1
]}

Su, Yueliang ^{[1
]}

机构：

[1] South China Univ Technol, Coll Business Adm, Guangzhou, Guangdong, Peoples R China

来源：

PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ECONOMIC AND BUSINESS MANAGEMENT 2016 | 2016年 / 16卷

关键词：

credit risk assessment model; relative weights; Bayesian Networks;

D O I：

暂无

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

In this study, we first design a credit risk evaluation index of Internet Supply Chain Finance from the perspective of electronic commerce enterprises. Then, we determine the relative weights of variables in logistic regression. After that, we construct a credit risk assessment model based on the relative weights and the basic thought of Bayesian Networks. Finally, we perform a comparative analysis of a specific case using logistic regression model and Bayesian Networks based on relative weights. The findings of this study reveal that Bayesian Networks based on relative weights may have a higher accuracy in assessing the credit risk level of small and medium sized enterprises in Internet Supply Chain Finance.

引用

页码：46 / 52

页数：7