Proceedings of the 3rd International Conference on Digital Economy and Computer Application (DECA 2023)

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Research on Intelligent Management of Financial Assets Based on Machine Learning Algorithm

Authors
Yongzhe Zhang1, *, Zhe Yang2, Xinyue Zhang2
1China Three Gorges Corporation, Wuhan City, China
2Beijing Zhongdian Puhua Information Technology Co, Beijing, China
*Corresponding author. Email: zhang_yongzhe@ctg.com.cn
Corresponding Author
Yongzhe Zhang
Available Online 4 December 2023.
DOI
10.2991/978-94-6463-304-7_46How to use a DOI?
Keywords
Machine learning; Financial assets; Intelligent management; Risk identification
Abstract

The intelligent management of financial assets has become one of the research hotspots in today’s financial field. This paper is entitled “Research on Intelligent Management of Financial Assets based on Machine Learning Algorithm”, aiming to explore the application and potential value of machine learning algorithm in financial asset management. By analyzing the dynamics and complexity of financial markets, as well as the limitations of traditional asset management approaches, this study highlights the great potential of machine learning to improve asset management efficiency, reduce risk, and optimize investment portfolios. These applications include, but are not limited to, stock market forecasting, bond portfolio optimization, risk identification, and sentiment analysis. To sum up, the research in this paper is of great significance for understanding and exploring the application potential of machine learning in the intelligent management of financial assets, which will help the financial industry make better use of advanced technologies, improve the efficiency and quality of asset management, and thus promote the stability and sustainable development of the financial market.

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 3rd International Conference on Digital Economy and Computer Application (DECA 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
4 December 2023
ISBN
978-94-6463-304-7
ISSN
2589-4900
DOI
10.2991/978-94-6463-304-7_46How 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  - Yongzhe Zhang
AU  - Zhe Yang
AU  - Xinyue Zhang
PY  - 2023
DA  - 2023/12/04
TI  - Research on Intelligent Management of Financial Assets Based on Machine Learning Algorithm
BT  - Proceedings of the 3rd International Conference on Digital Economy and Computer Application (DECA 2023)
PB  - Atlantis Press
SP  - 448
EP  - 454
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-304-7_46
DO  - 10.2991/978-94-6463-304-7_46
ID  - Zhang2023
ER  -