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	Predicting China’s SME Credit Risk in Supply Chain Financing by Logistic Regression, Artificial Neural Network and Hybrid Models
	Zhu, Y; Xie, C; Sun, B; Wang, GJ; Yan, XG
刊名	Sustainability
	2016
卷号	Vol.8 No.5 (May)页码:433
关键词	supply chain financing (SCF) credit risk small and medium-sized enterprises (SMEs) core enterprises (CEs) financial institutions (FIs) logistic regression (LR) artificial neural network (ANN) two-stage hybrid model
ISSN号	2071-1050
URL标识	查看原文
公开日期	[db:dc_date_available]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/6066757
专题	湖南大学
作者单位	1.Hunan Univ, Coll Business Adm, Changsha 410082, Hunan, Peoples R China 2.Hunan Univ, Ctr Finance & Investment Management, Changsha 410082, Hunan, Peoples R China 3.Wuhan Univ, Econ & Management Sch, Wuhan 430072, Peoples R China 4.China Huarong Asset Management CO LTD, Beijing 100033, Peoples R China
推荐引用方式 GB/T 7714	Zhu, Y,Xie, C,Sun, B,et al. Predicting China’s SME Credit Risk in Supply Chain Financing by Logistic Regression, Artificial Neural Network and Hybrid Models[J]. Sustainability,2016,Vol.8 No.5 (May):433.
APA	Zhu, Y,Xie, C,Sun, B,Wang, GJ,&Yan, XG.(2016).Predicting China’s SME Credit Risk in Supply Chain Financing by Logistic Regression, Artificial Neural Network and Hybrid Models.Sustainability,Vol.8 No.5 (May),433.
MLA	Zhu, Y,et al."Predicting China’s SME Credit Risk in Supply Chain Financing by Logistic Regression, Artificial Neural Network and Hybrid Models".Sustainability Vol.8 No.5 (May)(2016):433.

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