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Research on Risk Assessment of Supply Chain Financing for Big Data Enterprises

机译:大数据企业供应链融资风险评估研究

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摘要

Under the background of current enterprise financing difficulties, the development of supply chain finance has become one of the important options for enterprise financing. Based on principal component analysis and logistic regression model analysis, this paper chooses evaluation indexes from profitability and growth ability, and establishes a supply chain default risk early warning model for large data enterprises. Empirical results show that its early warning accuracy is high, which provides a new idea for the early warning research of supply chain financing risk for large data enterprises.
机译:在当前企业融资困难的背景下,供应链金融的发展已成为企业融资的重要选择之一。基于主成分分析和逻辑回归模型分析,本文选择了来自盈利能力和增长能力的评估指标,并为大型数据企业建立了供应链违约风险预警模型。经验结果表明,其预警准确性很高,为大型数据企业供应链融资风险的预警研究提供了新的思路。

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