Education, Science, Technology, Innovation and Life
Open Access
Sign In

An Analysis of Financial System Risk Early Warning Based on Machine Learning

Download as PDF

DOI: 10.23977/ferm.2023.061013 | Downloads: 31 | Views: 332

Author(s)

Feng Weiping 1

Affiliation(s)

1 Krirk University, Bangkok, Thailand

Corresponding Author

Feng Weiping

ABSTRACT

Financial system risk warning is an important research field in the financial industry. With the development of artificial intelligence technology, the risk warning of financial system based on machine learning has become a research hotspot. This paper analyzes the risk early warning of financial system based on machine learning, aiming to provide useful ideas and methods for risk management in financial industry. First, this paper introduces the background and significance of financial system risk warning, and the application of machine learning in the financial field. Secondly, this paper elaborates the key technologies and methods of financial system risk warning based on machine learning, including data preprocessing, feature engineering, model selection and evaluation. In addition, this paper also introduces the design and implementation of the financial system risk early warning system based on machine learning in detail.

KEYWORDS

Machine learning, financial system, risk warning

CITE THIS PAPER

Feng Weiping, An Analysis of Financial System Risk Early Warning Based on Machine Learning. Financial Engineering and Risk Management (2023) Vol. 6: 92-99. DOI: http://dx.doi.org/10.23977/ferm.2023.061013.

REFERENCES

[1] Li Qiang, Zhang Hua, Cheng Weijia. Review of research on financial risk early warning based on Machine learning [J]. Computer Engineering and Applications, 2019, 55(8): 1-9. (in Chinese)
[2] Chen Siyu, Xie Xiaoyu, Xiong Hao. Research on financial risk early warning model based on deep learning [J]. Statistics and Decision, 2020, 36(5): 140-144. (in Chinese)
[3] Hao Yaling, Liu Xiaoguang, Zhang Wenjun. Research on financial system risk early warning model based on random forest [J]. Data Analysis and Knowledge Discovery, 2019, 3(5): 46-55. (in Chinese)
[4] Sun Maohua, Wang Tao, Lu Zhengbiao. Research on financial market risk warning based on LSTM [J]. Computer Engineering and Applications, 2020, 56(15): 128-135. (in Chinese)
[5] Shen Dan, Zhang Qing, Jin Chenyang. Research on financial system risk warning method based on cluster analysis [J]. Science and Technology Management Research, 2018, 10(9): 172-177. (in Chinese)

Downloads: 18413
Visits: 353784

All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.