Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022)

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Application of Machine Learning Algorithms in Financial System Risk

Authors
Wenjing Huang1, *, Xiao Chen1, Liyuan Wang1
1Jiangxi College of Applied Technology, Ganzhou, 341000, China
*Corresponding author. Email: Huangwenqing2022@outlook.com
Corresponding Author
Wenjing Huang
Available Online 20 December 2022.
DOI
10.2991/978-94-6463-030-5_28How to use a DOI?
Keywords
Machine Learning; Corporate Financial Risk; Forecasting
Abstract

Aiming at the problems of low accuracy rate and recall rate and poor completion of recommended paths in enterprise financial risk prediction methods, based on machine learning algorithms, a method of enterprise financial risk prediction based on collaborative filtering is proposed. Build the overall architecture based on historical financial data resources, design the financial risk data processor and the financial risk intelligent recommender, and complete the design of the system hardware and software; in the system software design, the characteristics of the enterprise’s financial risk are used as the identification criteria to calculate the risk that meets the risk. By using the collaborative filtering algorithm, the intelligent recommendation model of enterprise financial risk is constructed to realize the intelligent recommendation of risk. The system test results show that this study can be used for the recommendation analysis of enterprise financial risk while improving the accuracy and recall rate of risk identification.

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 Bigdata Blockchain and Economy Management (ICBBEM 2022)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
20 December 2022
ISBN
978-94-6463-030-5
ISSN
2589-4919
DOI
10.2991/978-94-6463-030-5_28How 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  - Wenjing Huang
AU  - Xiao Chen
AU  - Liyuan Wang
PY  - 2022
DA  - 2022/12/20
TI  - Application of Machine Learning Algorithms in Financial System Risk
BT  - Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022)
PB  - Atlantis Press
SP  - 262
EP  - 269
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-030-5_28
DO  - 10.2991/978-94-6463-030-5_28
ID  - Huang2022
ER  -