Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022)

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Shadow Bank Scale and Financial Risk Prevention and Control Ability An Empirical Study Based on Principal Component Analysis

Authors
Jieping Cai1, Aijia Wang1, *
1Guangzhou Xinhua University, Dongguan, China
*Corresponding author. Email: wangaijia@xhsysu.edu.cn
Corresponding Author
Aijia Wang
Available Online 29 December 2022.
DOI
10.2991/978-94-6463-042-8_18How to use a DOI?
Keywords
shadow banking; financial risk prevention and control capability; principal component analysis method; index system construction
Abstract

This paper explores the impact of shadow banking scale on China's financial risk prevention and control capabilities, which is of great significance to the stability and development of the financial system. This paper starts with the literature on the definition of shadow banking in China and its impact on financial risk prevention and control. We first select 9 indicators that reflect the ability of financial risk prevention and control. Meanwhile, we build a financial risk prevention and control capability system, and use principal component analysis to obtain comprehensive indicators of financial risk prevention and control capabilities. Then, we divide the components of China's shadow banking into entrusted loan balance, trust loan balance, undiscounted bank acceptance bill, loan balance of small loan companies, etc., to measure the scale of China's shadow banking. Finally, we establish a regression model to analyze the impact of the development of shadow banking on financial risk prevention and control, and based on this, combine with the actual situation, we put forward policy recommendations for strengthening China's financial risk prevention and control capabilities.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022)
Series
Advances in Computer Science Research
Publication Date
29 December 2022
ISBN
10.2991/978-94-6463-042-8_18
ISSN
2352-538X
DOI
10.2991/978-94-6463-042-8_18How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Jieping Cai
AU  - Aijia Wang
PY  - 2022
DA  - 2022/12/29
TI  - Shadow Bank Scale and Financial Risk Prevention and Control Ability An Empirical Study Based on Principal Component Analysis
BT  - Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022)
PB  - Atlantis Press
SP  - 107
EP  - 114
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-042-8_18
DO  - 10.2991/978-94-6463-042-8_18
ID  - Cai2022
ER  -