Research Article
Research on the Impact of Stock Market Returns on the System Stability of Artificial Intelligence Enterprises: A Complex Network Perspective
@INPROCEEDINGS{10.4108/eai.24-5-2024.2350199, author={Di Zhang and Dujun Jiang and Junxiao Li and Xueyan Li and Xinyu Liu and Qianting Ma}, title={Research on the Impact of Stock Market Returns on the System Stability of Artificial Intelligence Enterprises: A Complex Network Perspective}, proceedings={Proceedings of the 3rd International Conference on Mathematical Statistics and Economic Analysis, MSEA 2024, May 24--26, 2024, Jinan, China}, publisher={EAI}, proceedings_a={MSEA}, year={2024}, month={10}, keywords={stock market returns; system stability; network clustering; regional heterogeneity}, doi={10.4108/eai.24-5-2024.2350199} }- Di Zhang
Dujun Jiang
Junxiao Li
Xueyan Li
Xinyu Liu
Qianting Ma
Year: 2024
Research on the Impact of Stock Market Returns on the System Stability of Artificial Intelligence Enterprises: A Complex Network Perspective
MSEA
EAI
DOI: 10.4108/eai.24-5-2024.2350199
Abstract
The Central Political Bureau meeting held in April 2023 emphasized the importance of focusing on the development of Artificial Intelligence (AI), fostering an innovative ecosystem, and mitigating industry risks. As AI deeply integrates with the financial industry, the capital market faces new opportunities and challenges. This paper constructs a correlation network of AI industry stocks and empirically tests the impact of stock market returns on the system stability of AI enterprises. The findings reveal that firstly, stock market returns significantly enhance the system stability of AI enterprises. Secondly, stock market returns increase network clustering, which in turn, enhances system stability. Thirdly, compared to other areas, the impact of stock market returns on the system stability of AI enterprises is more pronounced in the North China, East China, and South China. This paper unveils the mechanisms through which stock market returns influence AI enterprise system stability, providing policymakers with insights and recommendations to promote the healthy development of the AI industry and prevent financial risks.
