Construction of Credit Risk Evaluation System for Small and Medium-Sized Enterprises: Based on Principal Component Analysis and Logistic Model

DOI

10.2991/aebmr.k.191225.043How to use a DOI?

Keywords

SMEs, PCA, credit risk, logistic regression

Abstract

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.

Copyright

© 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/).

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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  -