Research on Credit Risk Evaluation of SMEs in Supply Chain Finance based on Big Data
Xiaofei Luan, Hongmei Zhang
Available Online September 2019.
- https://doi.org/10.2991/wrarm-19.2019.27How to use a DOI?
- supply chain finance, credit risk, logistic model
- With the development of global supply chain, enterprises are more and more aware of the advantages of supply chain. In recent years, supply chain finance has become the focus of many logistics enterprises and financial institutions. In this paper, principal component analysis and logistic regression method are used to further analyze the credit risk of SMEs under the supply chain financial model, so as to provide a theoretical basis for improving the credit risk assessment method and making correct decisions.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Xiaofei Luan AU - Hongmei Zhang PY - 2019/09 DA - 2019/09 TI - Research on Credit Risk Evaluation of SMEs in Supply Chain Finance based on Big Data BT - Proceedings of the Sixth Symposium of Risk Analysis and Risk Management in Western China (WRARM 2019) PB - Atlantis Press SP - 132 EP - 136 SN - 1951-6851 UR - https://doi.org/10.2991/wrarm-19.2019.27 DO - https://doi.org/10.2991/wrarm-19.2019.27 ID - Luan2019/09 ER -