Financial Risk Early Warning Model Based on Intelligent Data Monitoring

• Published in: 2022 International Conference on Big Data, Information and Computer Network (BDICN) pp. 161 - 164
• Main Authors: Jia, Chenlu, Sun, Shuo, Geng, Yue
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-01-2022
• Subjects: Computational modeling; Current measurement; Early warning model; Economic indicators; Enterprise economic indicators; financial risk; Globalization; Industries; Predictive models; Production; Quantitative evaluation
• DOI: 10.1109/BDICN55575.2022.00038

With the development of economic globalization, the market economic environment on which all kinds of enterprises depend also presents complex and changeable characteristics. Enterprises inevitably have some known and unknown risks in each stage of production and operation. Financial risk is a more important one, which must be paid attention to in the process of production and operation. This paper fully considers the actual development of enterprises and the characteristics of the industry, and constructs a financial risk evaluation model suitable for enterprises. The evaluation model is used to quantify the enterprise's financial risk, comprehensively evaluate its current overall financial situation, predict the severity of financial risk in the future years, and formulate measures to prevent and control financial risk according to the results of evaluation and early warning to avoid further deterioration of the enterprise's financial risk. It has certain practical guiding significance for enterprises.