School of Management, Northwestern Polytechnical University, Xi'an 710072, Shaanxi, China.
Comput Intell Neurosci. 2022 Oct 11;2022:3062566. doi: 10.1155/2022/3062566. eCollection 2022.
Financial investment promotes the market's fast economic growth and gradually becomes a new trend of social development in the contemporary era. From the national level, financial risk investment activities directly affect the development process of the information technology industry and social and economic benefits. The management of financial risk investment has received more attention, and the types and difficulties of risks are also gradually increasing. Financial regulatory agencies urgently need to establish a sensitive and scientific economic hazard early alarm system. The perfect earlier alarm system stands based on in-depth scientific theoretical research, so studying financial security evaluation and systemic economic earlier alarm systems is of great practical significance. Taking the systemic financial risk as the research object, this paper analyzes the mechanism of financial systemic risk. After that, deep learning technology in financial investment has been used for the first time to reconstruct the index system of financial security evaluation and early warning. The application of deep learning technology in the early warning of systemic financial risks is realized, which provides a reliable basis for the regulatory authorities to build a financial risk early warning system and makes empirical research.
财务投资促进了市场的快速经济增长，逐渐成为当代社会发展的新趋势。从国家层面来看，金融风险投资活动直接影响信息技术产业的发展进程和社会经济效益。金融风险投资的管理受到了更多的关注，风险的类型和难度也在逐渐增加。金融监管机构迫切需要建立一个敏感和科学的经济风险预警系统。完善的早期预警系统建立在深入的科学理论研究基础上，因此研究金融安全评估和系统性经济早期预警系统具有重要的现实意义。本文以系统性金融风险为研究对象，分析了金融系统性风险的作用机制。之后，首次将深度学习技术应用于金融安全评估和预警的指标体系重构。实现了深度学习技术在系统性金融风险预警中的应用，为监管部门构建金融风险预警系统提供了可靠依据，并进行了实证研究。
