The Credit Assessment for Chinese Companies Based on the Café System by Using Bigdata Method

This paper examines how the CAFÉ System developed by using bigdata approach is able to resolve three problems for which the current credit rating market in China facing such as “the rating is falsely high; the differentiation of ​credit rating grades is insufficient; and the poor performance of predicting early warning and related issues”. These issues are done by redefining the "BBB" as the basic investment level in accordance with international practice in capital markets, and cases study shows that how the so-called “CAFÉ Credit” is able to resolve the major issues in the capital market in China for credit rating