Abstract

In recent years, small and medium-sized enterprises (SMEs) have gradually become the backbone of China’s national economic development due to their strong innovation ability and high operational efficiency. However, such enterprises have poor anti risk ability in the early stage of development and need banks to lend to them. In order to help banks quickly and accurately evaluate the ability of small and medium-sized enterprises to determine the amount of loans, this paper proposes a comprehensive ability evaluation model based on PCA algorithm. Considering the strong impact of the new COVID-19 on SMEs in 2020, we introduce this sudden factor into the model to improve the adaptability of the model and help banks to accurately evaluate the enterprise capacity under the COVID-19.

Details

Title
Credit risk assessment in bank based on SMEs using PCA
Author
Huang, Zhou 1 ; Yan, Zifeng 1 ; Zhao, Qingzhu 2 ; Ma, Keke 1 

 Department of Communication and Information Engineering, Xi ‘an University of Posts and Telecommunications, Xi ‘an, Shaanxi, 710061, China 
 Department of Electrical Engineering, Xi ‘an University of Posts and Telecommunications, Xi ‘an, Shaanxi, 710061, China 
Publication year
2021
Publication date
Apr 2021
Publisher
IOP Publishing
ISSN
17426588
e-ISSN
17426596
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2511964302
Copyright
© 2021. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.