Forecasting SMEs’ credit risk in supply chain finance with an enhanced hybrid ensemble machine learning approach

Forecasting SMEs’ credit risk in supply chain finance with an enhanced hybrid ensemble machine learning approach

In recent years, financial institutions (FIs) have tentatively utilized supply chain finance (SCF) as a means of solving the financing issues of small and medium-sized enterprises (SMEs). Thus, forecasting SMEs’ credit risk in SCF has become one of the most critical issues in financing decision-maki...

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Bibliographic Details
Main Authors: Nguyen, T.V (Author), Wang, G.-J (Author), Xie, C. (Author), Zhou, L. (Author), Zhu, Y. (Author)
Format: Article
Language:English
Published: Elsevier B.V. 2019
Subjects:
Commerce
Credit risk forecasting
Credit risks
Decision making
Finance
Forecasting
Learning systems
Machine learning
Partial dependency plot
Risk assessment
RS-MultiBoosting
Small and medium sized enterprise
Small and medium-sized enterprises
Supply chain finance
Supply chain finances
Supply chains
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