Font Size: a A A

Study On Credit Risk Evaluation Of Online Supply Chain Finance

Posted on:2019-08-21Degree:MasterType:Thesis
Country:ChinaCandidate:Z X ChenFull Text:PDF
GTID:2429330545451887Subject:Applied Economics
Abstract/Summary:PDF Full Text Request
In recent years,SMEs have occupied a dominant position in China's national economy,and in order to achieve the goal of minimizing costs and maximizing value-added value,core enterprises and their upstream and downstream SMEs have started to operate in a supply chain manner.With the Development of Internet Technology and big data Application,a financial innovation which is online supply chain finance has become a new trend in supply chain finance.Online supply chain finance is a typical transactional financing product,and its credit risk has its own characteristics.Whether it can be accurately and effectively identified and evaluated affects its operation and prospects.Therefore,this paper has very important practical significance for evaluating the credit risk of online supply chain finance.This paper took online supply chain finance as the research object,analyzed information asymmetry,principal-agent theory,elaborated the participants of the online supply chain finance business,analyzed the credit risk sources of SMEs,and then constructed a more scientific and reasonable online supply chain financial credit risk assessment index system through summing up the previous literature and questionnaire surveys.Finally,using the method of principal component analysis and logistic regression analysis,an empirical evaluation model for calculating the probability of credit risk of SMEs in online supply chain finance was established.The research results show that online supply chain finance needs to be evaluated the credit risk of SMEs from a new perspective.Unlike the traditional bank business that only examines the static credit risk of a single financing company,it needs to evaluate the stability of the entire online supply chain.In the evaluation index system of this paper,the factor index of SMEs is the most,and the EC platform factors,core business factors and supply chain factors are the main source of credit risk;The Logistic regression model constructed by empirical research has certain predictive value and provides case support for the evaluation of the research object.It also proposed to improve the access mechanism of core enterprises,change the focus of investigations on financing companies,speed up the construction of electronic information platform,and improve the dynamic monitoring in the loan process.
Keywords/Search Tags:Online Supply Chain Finance, Credit risk evaluation, Principal component analysis, Logistic Model, SMEs
PDF Full Text Request
Related items