Proceedings of the Sixth Symposium of Risk Analysis and Risk Management in Western China (WRARM 2019)

Research on Credit Risk Evaluation of SMEs in Supply Chain Finance based on Big Data

Authors
Xiaofei Luan, Hongmei Zhang
Corresponding Author
Hongmei Zhang
Available Online September 2019.
DOI
https://doi.org/10.2991/wrarm-19.2019.27How to use a DOI?
Keywords
supply chain finance, credit risk, logistic model
Abstract
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.
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This is an open access article distributed under the CC BY-NC license.

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Volume Title
Proceedings of the Sixth Symposium of Risk Analysis and Risk Management in Western China (WRARM 2019)
Series
Advances in Intelligent Systems Research
Publication Date
September 2019
ISBN
978-94-6252-793-5
ISSN
1951-6851
DOI
https://doi.org/10.2991/wrarm-19.2019.27How to use a DOI?
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  -