Under the influence of the rapid development of the market economy, the financial market also shows a good development trend, and statistics plays a very important role in the financial market, which can promote its long-term stable development. Under the background of big data, the integration of machine technology and statistical technology and the use of machine learning can better utilize the advantages of the two to identify the risks and problems in the financial market, which can help to identify the potential risks and challenges in the financial market, formulate scientific prevention and response strategies, and further lay a solid foundation for the future development of the financial market.

Wang Xinyue. The use and risks of machine learning in finance. Academic Journal of Business & Management (2024) Vol. 6, Issue 5: 165-169. https://doi.org/10.25236/AJBM.2024.060522.

[1] Liu Hongbo, Lin Bin. Value Orientation, Issue Construction and Path Selection of China's Artificial Intelligence Development - A Quantitative Study Based on Policy Texts [J]. E-Government, 2018(11): 47-58.

[2] Shi Guang, Song Fangxiu. The main features, risks and development countermeasures of the new round of financial technology innovation [J]. Economy, 2020(12): 100-108.

[3] Liu Y. Research on economic forecasting and financial statistics of banks based on big data [J]. Investment and Cooperation, 2023(10): 4-6.

[4] Cui Zhenguan, Jin Yide. Application of machine learning in early warning of China's overseas investment efficiency: Evidence from countries along the "Belt and Road" [J]. Finance Theory and Practice, 2023(05): 13-25.

[5] He Tao. The direction and path of fintech innovation driven by AI [J]. China Collective Economy, 2024(03): 103-106.

[6] Li Hongquan, Zhou Liang. Systemic financial risk monitoring and early warning based on machine learning technology [J]. Operations Research and Management, 2023, 32(11): 212-219.