Application of Grey Clustering Evaluations in Credit Risk

被引：0

作者：

Li, Chuanqi ^{[1
]}

Li, Size ^{[1
]}

机构：

[1] Beijing Jiaotong Univ, Dept Math, Beijing 100044, Peoples R China

来源：

INNOVATIVE THEORIES AND METHODS FOR RISK ANALYSIS AND CRISIS RESPONSE | 2012年 / 21卷

关键词：

Credit risk; Risk assessment; Grey clustering evaluations; whitenization weight function;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Cement industry plays an important role in the national economic development, but it has been greatly set back by the recent global financial crisis. This increases the demand for loan of the cement industry. Thus a good way of assessing the credit risk of the cement industry becomes an urgent need for the banking industry. In this paper, we take four listing cement corporations as research objects, and discuss the credit risk and make risk assessment.

引用

页码：693 / 697

页数：5

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