Credit Risk Measurement on Customers of B2B Market

Author

Yuan, Jun ; Yang, Cheng

Author_Institution

Sch. of Manage., Shanghai Univ. of Eng. Sci., Shanghai, China

fYear

2012

fDate

12-14 Oct. 2012

Firstpage

83

Lastpage

86

Abstract

By selecting customers´ credit risk indicators of the domestic textile industry on the electronic trading market in China and using factor analysis method, clustering method, and ordered-logit model, it can be concluded that the comprehensive evaluation of customers´ credit status is measured scientifically in B2B market. Therefore, customers´ credit risk management is made effectively in accordance with the rating results.

Keywords

electronic commerce; financial management; pattern clustering; risk management; textile industry; B2B market; China; clustering method; credit risk measurement; customers credit risk indicator selection; customers credit status evaluation; domestic textile industry; electronic trading market; factor analysis method; ordered-logit model; Analytical models; Data mining; Educational institutions; Finance; Investments; Profitability; Risk management; B2B market; clustering analysis; customers´ credit risk measurement; factor analysis; ordered-logit model;

fLanguage

English

Publisher

ieee

Conference_Titel

Business Computing and Global Informatization (BCGIN), 2012 Second International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4673-4469-2

Type

conf

DOI

10.1109/BCGIN.2012.28

Filename

6382469