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Research On Financial Risk Early-warning Of Supply Chain Management Enterprises

Posted on:2021-05-10Degree:MasterType:Thesis
Country:ChinaCandidate:Y Y WangFull Text:PDF
GTID:2439330614970885Subject:Accounting
Abstract/Summary:PDF Full Text Request
Supply chain management service is a comprehensive service for the design,planning,control and optimization of logistics,business flow,information flow and capital flow in the supply chain,which belongs to the emerging industry developed in recent years.In 2017,supply chain management services were included in the Industry Classification of National Economy,and in the same year,the State Council issued the Guidance on Actively Promoting Supply Chain Innovation and Application.Related enterprises engaged in supply chain management welcomed the development opportunity,but in the process of rapid development,some problems were constantly exposed.In this paper,Tianshun Co.,Ltd,a supply chain management enterprise,is selected as the case for the study of financial risk early warning,to build a financial risk early warning suitable for the industry and the enterprise's own situation,to help stakeholders such as small and medium-sized investors to identify investment risks.At first,this paper research on domestic and foreign financial risk early warning and the risk of supply chain management literature,and then elaborates the theoretical basis of early warning system for financial risk,and through comparison and analysis to the existing financial risk early warning model,this paper selected the chosen method,multiple model study: Logistic regression model,the entropy value method and effect coefficient.Then,in this paper,the supply chain management industry present situation and the analysis of existing financial risk,and on this basis to build the supply chain management index system of enterprise financial risk system at the beginning of the screen,and then to the existing in supply chain management for the main business of the listed enterprise supply chain management,a total of 24 as samples,to preliminary screening indicators,significance test,principal component analysis,Logistic regression,ultimately determine the industry financial risk early warning model and verify its accuracy.On this basis,with the selected indicators and the financial data of T Tianshun Co.,Ltd,the entropy method and efficiency coefficient method are used to construct the early warning model of Tianshun Co.,Ltd.Taking Tianshun Co.,Ltd,a supply chain management enterprise,as a case study,the two models are applied to Tianshun Co.,Ltd to obtain the early warning results and verify each other.According to the results,the possible financial risks of Tianshun Co.,Ltd are analyzed.This article selects the Logistic regression model of financial risk early warning model is commonly used in industry,has strong objectivity,on the basis of efficacy coefficient method by using entropy value method and combining the enterprise early warning,the entropy value method can better determine the weights of enterprise financial indicators,efficacy coefficient method can grade comprehensive evaluation to the enterprise,this paper builds two models to verify complement each other,make the enterprise financial risk early warning results more objective and targeted,frequent problems in the industry enterprises,under the present situation of beneficial to identify the enterprise's financial risk,help investors to invest,It has great practical significance.
Keywords/Search Tags:Supply chain management enterprise, Early warning of financial risks, Logistic model, Entropy value method, Efficiency coefficient method
PDF Full Text Request
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