Fintech application on banking stability using big data of an emerging economy.

Yin, Fang; Jiao, Xiaomei; Zhou, Jincheng; Yin, Xiong; Ibeke, Ebuka; Iwendi, Marvellous GodsPraise; Biamba, Cresantus

Abstract

The rapid growth and development of financial technological advancement (Fintech) services and innovations have attracted the attention of scholars who are now on a quest to analyse their impact on the banking sector. This study conducts several kinds of analyses to measure the effect of the fintech era on the stability of the Chinese banking sector. It uses Big Data and performs Pearson correlation and regression analysis on the fintech era's transition period to measure the impact of several explanatory variables— institutional regulation, government stability, bank credit to deposit ratio, and economic growth— on the outcome variables, which includes Nonperforming loans (NPLs) and its numerical measurement in relation to the mean score of the Big Data (Z-score). This study uses yearly Big Data from 1995-2018 and revealed that compared to the first wave of the fintech era, the second wave helped in the reduction of NPLs and the enhancement of financial stability in China. This study concludes that in the second wave of the fintech era, the explanatory variables mentioned above had a positive impact on NPLs and banking stability. This work helps comprehend fintech development in modern society and the importance of its disruptive forces in developing and developed countries.

Citation

YIN, F., JIAO, X., ZHOU, J., YIN, X., IBEKE, E., IWENDI, M.G. and BIAMBA, C. 2022. Fintech application on banking stability using big data of an emerging economy. Journal of cloud computing [online], 11, article number 43. Available from: https://doi.org/10.1186/s13677-022-00320-7

• Journal Article Type: Article
• Acceptance Date: Aug 31, 2022
• Online Publication Date: Sep 14, 2022
• Publication Date: Dec 31, 2022
• Deposit Date: Sep 1, 2022
• Publicly Available Date: Sep 1, 2022
• Journal: Journal of cloud computing
• Electronic ISSN: 2192-113X
• Publisher: Springer
• Peer Reviewed: Peer Reviewed
• Volume: 11
• Article Number: 43
• DOI: https://doi.org/10.1186/s13677-022-00320-7
• Keywords: Banking stability; Fintech; Innovations; Big data; Nonperforming loans; Corruption; First wave; Interaction analysis
• Public URL: https://rgu-repository.worktribe.com/output/1741981