Proceedings of the 2026 2nd International Conference on Financial Innovation and Marketing Management (FIMM 2026)

2026 2nd International Conference on Financial Innovation and Marketing Management (FIMM 2026)

📍Singapore, Singapore🗓️ 2-4 July 2026
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Analysis of the Application of Large Language Models in the Financial Field

Authors
Hongyi Qian1, *
1SWUFE-UD Institute of Data Science at SWUFE, Southwestern University of Finance and Economics, Chengdu, 611130, China
*Corresponding author. Email: qianhongyi13@outlook.com
Corresponding Author
Hongyi Qian
Available Online 23 October 2026.
DOI
10.2991/978-94-6239-801-6_18How to use a DOI?
Keywords
Large Language Models; Finance; Artificial Intelligence
Abstract

In recent years, the Large Language Models (LLMs) have developed continuously, providing new methods for the application of artificial intelligence (AI) in the financial field. This paper introduces the applications and limitations of LLMs and, based on this, proposes prospects for the application of LLMs in the financial field. This article primarily discusses the advantages of LLMs in investment advice, risk management, and processing unstructured data in the financial field. It also mentions that the “black box” nature of LLMs in dealing with regulations still needs further resolution in the future. Furthermore, it proposes that LLMs need to be more professional, transparent, and automated in the future to better adapt to the financial field and promote their deeper application in finance. This article aims to provide a summary of the latest developments in LLMs in the financial field for professionals in related industries, and to offer a reference for them.

Copyright
© 2026 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 2026 2nd International Conference on Financial Innovation and Marketing Management (FIMM 2026)
Series
Advances in Economics, Business and Management Research
Publication Date
23 October 2026
ISBN
978-94-6239-801-6
ISSN
2352-5428
DOI
10.2991/978-94-6239-801-6_18How to use a DOI?
Copyright
© 2026 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  - Hongyi Qian
PY  - 2026
DA  - 2026/10/23
TI  - Analysis of the Application of Large Language Models in the Financial Field
BT  - Proceedings of the 2026 2nd International Conference on Financial Innovation and Marketing Management (FIMM 2026)
PB  - Atlantis Press
SP  - 154
EP  - 160
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-801-6_18
DO  - 10.2991/978-94-6239-801-6_18
ID  - Qian2026
ER  -