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Supply Chain Finance Credit Risk Evaluation Method Based on Self-Adaption Weight

机译:基于自适应权重的供应链金融信用风险评估方法

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Credit risk is the core issue of supply chain finance. In the supply chain, problems happened in different enterprises can influent the whole to different degrees through transferring, thus statuses of all enterprises and their different influences should be considered when evaluating the supply chain’s credit risk. We examine the characters of supply chain network and complex network, use the local growing complex network to simulate the real supply chain, use cluster analysis to classify the company into several levels; Introducing each level’s self-adaption weight formula according to the company’s quantity and degrees of this level and use the weight to improve the credit evaluation method. The research results indicate that complex network can be used to simulate the supply chain. The credit risk evaluation (CRE) of an enterprise level with bigger note degrees has a greater weight in the supply chain system’s CRE, thus has greater effect on the whole chain. Considering different influences of different enterprise levels can improve credit risk evaluation method’s sensitivity.
机译:信用风险是供应链融资的核心问题。在供应链中,不同企业发生的问题可以通过转移整体影响到不同程度,因此在评估供应链的信用风险时应考虑所有企业的状况及其不同的影响。我们研究了供应链网络和复杂网络的特征,使用本地不断发展的复杂网络来模拟真实的供应链,使用聚类分析将公司分为几个层次。根据公司对该级别的数量和程度,介绍每个级别的自适应权重公式,并使用权重来改进信用评估方法。研究结果表明,复杂的网络可以用来模拟供应链。具有较高注释度的企业级别的信用风险评估(CRE)在供应链系统的CRE中具有更大的权重,因此对整个链的影响更大。考虑不同企业级别的不同影响可以提高信用风险评估方法的敏感性。

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