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CREDIT REFERENCE
2015年
9期
22-28
,共7页
供应链金融%中小企业%信用风险评估%Logistic回归
供應鏈金融%中小企業%信用風險評估%Logistic迴歸
공응련금융%중소기업%신용풍험평고%Logistic회귀
supply chain finance%small and medium-sized enterprises ( SME )%credit risk assessment%Logistic regression
将主成分分析法与Logistic回归法相结合，利用深圳证券交易所60家中小企业的样本数据进行实证分析，模拟构建中小企业信用风险评估的Logistic回归模型。结果表明，该模型的预测价值较高，能够给商业银行评估中小企业的信用风险提供帮助。
將主成分分析法與Logistic迴歸法相結閤，利用深圳證券交易所60傢中小企業的樣本數據進行實證分析，模擬構建中小企業信用風險評估的Logistic迴歸模型。結果錶明，該模型的預測價值較高，能夠給商業銀行評估中小企業的信用風險提供幫助。
장주성분분석법여Logistic회귀법상결합，이용심수증권교역소60가중소기업적양본수거진행실증분석，모의구건중소기업신용풍험평고적Logistic회귀모형。결과표명，해모형적예측개치교고，능구급상업은행평고중소기업적신용풍험제공방조。
An empirical analysisis made on the sample data of 60 small and medium-sized enterprises from Shenzhen stock exchange by combining the principal component analysis and Logistic regression methods. The paper con-structs a Logistic regression model for credit risk assessment of the small and medium-sized enterprises. The results show that the model has higher prediction value and can help commercial banks evaluate the credit risk of small and medium-sized enterprises.
