英文摘要
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This paper primarily used statistical methods to establish logistic credit risk models on non-groups companies, discussed the agency problem on whether management and ownership belong to the same person. That made it be possible to predict in advance the probability of non-group companies experiencing financial risk. Empirical analysis, the author built up a credit risk model using K-S test, M-U test and logistic regression model. Finding, In the case where management and ownership are combined, there had no agency problems and increased the degrees of predictive accuracy, empirical results suggested that the non-groups companies reduce the cash flow per share, pay attention to CPA gives a qualified audit opinion, avoid switched of CPAs, and the outsider monitoring and corporate governance capacity have to be enhanced. Implications, the non-groups companies pay attention to corporate governance could reduce credit risk.
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