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Credit Risk Analysis of Chinese Companies by Applying the CAFÉApproach
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作者 George X.Yuan Chengxing Yan +3 位作者 Yunpeng Zhou Haiyang Liu Guoqi Qian Yukun Shi 《国际计算机前沿大会会议论文集》 2022年第2期475-502,共28页
It is known that the current Credit Rating in financial markets of China is facing at least three problems:1)the rating is falsely high;2)the differentiation of credit rating is insufficient;and 3)the poor performance... It is known that the current Credit Rating in financial markets of China is facing at least three problems:1)the rating is falsely high;2)the differentiation of credit rating is insufficient;and 3)the poor performance of predicting early warning,thus we must consider how to create a reasonable new credit risk analysis approach to deal with issues for financial markets in China for those listed companies’performance.This report shows that by using a newmethod called the“Hologram approach”as a tool,we are able to establish a so-called“CAFÉRisk Analysis System”(in short,“CAFÉApproach”,or“CAFÉ”)to resolve three issues for credit rating in China.In particular,the main goal in this paper is to give a comprehensive report for credit risk assessments for eight selected list companies by applying our“CAFÉ”from different industry sectors against actual market performance with the time period from the past one to three years through our one-by-one interpretation for event screening and true occurrence and related events.In this way,we show how“CAFÉ”is able to resolve current three major problems of“rating is falsely high,the differentiation of credit rating grades is insufficient,and the poor performance of predicting early warning”in the current credit market in China’s financial industry in practice. 展开更多
关键词 credit risk analysis Digital economy Big data financial technology HOLOGRAM Unstructured features credit rating CAFÉassessment system
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