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Research On The Financial Credit Risk Assessment Of The Online Supply Chain

Posted on:2019-03-01Degree:MasterType:Thesis
Country:ChinaCandidate:C ZhangFull Text:PDF
GTID:2439330575472129Subject:Finance
Abstract/Summary:PDF Full Text Request
SMEs do a significant role in China's economic operation.Due to their weak strength and related management systems,it is difficult for them to get financial support from financial institutions such as banks.Supply chain finance can deal with the SMEs' financing problems effectually.Whereas there are obvious disadvantages:the procedure is lengthy and complex,the efficiency of funds operation and service are low and the entrance threshold is too high.The rapid development of e-commerce platform provides an opportunity for the reform of supply chain finance,and the online supply chain finance emerges which can alleviate and solve these malpractices.Compared with the traditional supply chain,the main body and its responsibilities have changed.At present,the online supply chain finance has developed rapidly in China,and most of the banks,represented by the Pingan Bank and the China Construction Bank,are involved.However,there are few related literature research in academic circles,and the existing research is based on its development model.Based on this,this paper research the evaluation of the financial credit risk of the online supply chain.This article combs the previous literature.First,redefine the definition of the online supply chain financial concept and introduce the specific division of the model and the three modes of operation.Besides,analyze the change of credit risks by comparing the difference of the supply chain from offline to online.Second,based on the index system of the financial credit risk measurement in the traditional supply chain,this paper constructs the index system of the online model.Finally,this paper carry on the empirical analysis of its credit risk using the model of Logistic,RBF neural network and the LR-RBF hybrid model.The results show that the LR-RBF hybrid model is superior to the other two models as it inherits the high precision of the RBF neural network and the stability of the Logistic.On this basis,this paper puts forward some suggestions on the development of the online supply chain.
Keywords/Search Tags:Online supply chain finance, Credit risk, LR-RBF hybrid model
PDF Full Text Request
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