Machine Learning in Finance: A Brief Review

DOI

10.2991/978-94-6463-010-7_27How to use a DOI?

Keywords

Fintech; Machine Learning; Deep Learning; Financial Application

Abstract

In the era of AI, machine learning theory has developed rapidly, and its application in the financial field has become a hot topic. Machine learning methods can effectively reduce operating costs, monitor risks and expand services. This paper summarizes the application of machine learning in the field of fintech based on the theory of machine learning and its application literature in finance. The basic contents, advantages and disadvantages of deep learning, knowledge graph, decision tree model and natural language processing are summarized. The innovative applications of machine learning methods in market prediction, portfolio optimization and text analysis are introduced and analyzed. In addition, the paper also analyzes its limitations, and then provides some suggestions on the choice of methods in financial applications.

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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TY  - CONF
AU  - Ziyu Shang
AU  - Zhongyuan Wang
PY  - 2022
DA  - 2022/12/02
TI  - Machine Learning in Finance: A Brief Review
BT  - Proceedings of the 2022 International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2022)
PB  - Atlantis Press
SP  - 258
EP  - 264
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-010-7_27
DO  - 10.2991/978-94-6463-010-7_27
ID  - Shang2022
ER  -