Proceedings of the 2025 International Conference on Financial Innovation and Marketing Management (FIMM 2025)

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Comprehensive Study on Stock Investment Behavior and Risk Based on Artificial Intelligence, Big Data and Multi-agent Simulation

Authors
Yixin Zhang1, *
1Western Michigan Institute, Guizhou University of Finance and Economics, Guiyang, China
*Corresponding author. Email: ywr2402@WMICH.EDU
Corresponding Author
Yixin Zhang
Available Online 3 November 2025.
DOI
10.2991/978-94-6463-874-5_26How to use a DOI?
Keywords
Artificial Intelligence; Big Data; Multi-agent Simulation; Stock Investmen; Risk Analysis
Abstract

In the context of the rapid development of science and technology in the 21st century, artificial intelligence has become a key factor in global competition and has promoted profound changes in the financial field. This article reviews the current status and trends of artificial intelligence applications in the financial field, especially in stock investment, and focuses on analyzing the impact of individual investors’ trading behavior on market fluctuations in the Chinese market. This paper aims to provide support for investment decision-making and risk management by exploring the use of big data, machine learning, and multi-agent simulation technology to collect and analyze multi-source information (including investor trading records, social media data, and market news), as well as multi-agent models to simulate investor behavioral interactions and evaluate the impact of financial technology on information dissemination. At the same time, this article deeply studies the practicality of artificial intelligence, big data, and multi-agent simulation, provides a new perspective for stock investment research, promotes the development of financial technology, and promotes market intelligence, efficiency and stability.

Copyright
© 2025 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 2025 International Conference on Financial Innovation and Marketing Management (FIMM 2025)
Series
Advances in Economics, Business and Management Research
Publication Date
3 November 2025
ISBN
978-94-6463-874-5
ISSN
2352-5428
DOI
10.2991/978-94-6463-874-5_26How to use a DOI?
Copyright
© 2025 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  - Yixin Zhang
PY  - 2025
DA  - 2025/11/03
TI  - Comprehensive Study on Stock Investment Behavior and Risk Based on Artificial Intelligence, Big Data and Multi-agent Simulation
BT  - Proceedings of the 2025 International Conference on Financial Innovation and Marketing Management (FIMM 2025)
PB  - Atlantis Press
SP  - 205
EP  - 212
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-874-5_26
DO  - 10.2991/978-94-6463-874-5_26
ID  - Zhang2025
ER  -