Construction of Credit Risk Evaluation System for Small and Medium-Sized Enterprises: Based on Principal Component Analysis and Logistic Model
- 10.2991/aebmr.k.191225.043How to use a DOI?
- SMEs, PCA, credit risk, logistic regression
With the fast development of the domestic financial sector, the financing of SMEs has become the significant part of domestic credit, but due to the SMEs’ stabilization of funds, technology and other aspects, SMEs are facing financial difficulties or loan default problems. This paper presents the financial and non-financial indicators combined with the evaluation system, using principal component analysis (PCA) and logistic regression (LR), a credit risk identification model is established. And then through the SPSS software to calculate the SMEs compliance probability, then analyze the impacts of SMEs compliance. Finally, some suggestions are put forward to improve the credit database, adjust the model according to the industry attributes, and strengthen the model test.
- © 2020, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Qiguang An AU - Yuyang Zhao PY - 2020 DA - 2020/01/07 TI - Construction of Credit Risk Evaluation System for Small and Medium-Sized Enterprises: Based on Principal Component Analysis and Logistic Model BT - Proceedings of the 5th International Conference on Economics, Management, Law and Education (EMLE 2019) PB - Atlantis Press SP - 244 EP - 250 SN - 2352-5428 UR - https://doi.org/10.2991/aebmr.k.191225.043 DO - 10.2991/aebmr.k.191225.043 ID - An2020 ER -