Research Article
OLS Regression Analysis Based on Fintech Industry Development and Bank Credit Risk
@INPROCEEDINGS{10.4108/eai.9-12-2022.2327619, author={Yifan Wei}, title={OLS Regression Analysis Based on Fintech Industry Development and Bank Credit Risk}, proceedings={Proceedings of the 4th Management Science Informatization and Economic Innovation Development Conference, MSIEID 2022, December 9-11, 2022, Chongqing, China}, publisher={EAI}, proceedings_a={MSIEID}, year={2023}, month={3}, keywords={fintech technology traditional banks credit risk}, doi={10.4108/eai.9-12-2022.2327619} }- Yifan Wei
Year: 2023
OLS Regression Analysis Based on Fintech Industry Development and Bank Credit Risk
MSIEID
EAI
DOI: 10.4108/eai.9-12-2022.2327619
Abstract
This paper aims to study the impact of fintech technology on banking finance. The purpose of this paper is to examine the impact of fintech technology on banking finance and what factors have affected the effectiveness of the traditional banking industry. Based on the strengths of data science and big data in my field of study, a linear re-gression model of OLS was applied to summarize and analyze the data. Data from the fintech database and the banking finance database were collected through the CSMAR website for the period 2015 to 2020. According to the results, it is shown that the de-velopment of the fintech industry increases the credit risk of banks. This impact is presented in different regions of China, but is more pronounced in the non-Big 4 bank types. Overall, the results suggest that fintech banks replace traditional banking ser-vices.