Comprehensive Evaluation Model of Cross- border E-commerce Credit Risk
Author:Yuduo Lu, Xiuying Sun, Tingzhen Ren, Shuang Zhao Author Unit: Faculty of Management and Economics, Dalian University of Technology,Dalian 116025,Liaoning, P. R. China
Abstract：In order to obtain the ideal cross-border e-commerce credit risk assessment results, this paper proposes a gray
correlation analysis and least squares support vector machine for cross-border e-commerce credit risk assessment
model for cross-border e-commerce credit risk assessment. First of all, according to the relevant research on build
cross-border e-commerce credit risk assessment indicators, the evaluation results of the gray correlation analysis
are used to select the most important evaluation indicators; and then the least squares support vector machine are
used to learn cross-border e-commerce credit risk assessment samples and construct the evaluation model of cross-
border e-commerce credit risk. Finally, the validity and superiority of the model are analyzed. The results show
that the model can improve the accuracy of cross-border e-commerce credit risk and provides valuable reference
information for cross-border e-commerce trading.
