Research on Enterprise Financial Risk Early Warning Based on Deep Learning Algorithm

Abstract

The continuous development of economic globalization and the continuous influx of multinational companies into China have intensified the competition among Chinese enterprises and between Chinese enterprises and foreign enterprises. At the same time, the imperfect market development, the lack of government supervision system and the flaws in the internal management mode of enterprises all make the listed enterprises in a very dangerous situation. In order to effectively avoid the financial risks of enterprises in the era of big data, it is necessary for enterprises to formulate effective early warning strategies for financial risks, so as to protect the financial management of enterprises. Enterprise financial risk early warning system refers to various interdependent and mutually restrictive early warning functional systems formed by enterprises in financial risk management. Enterprises should create a sound financial risk early warning mechanism and give full play to the functionality of the early warning mechanism, so as to find opportunities and provide power for the economic development of enterprises. This paper analyzes the deep learning and enterprise financial risk early warning, explores the problems existing in the enterprise financial risk early warning construction in the era of big data, and formulates corresponding solutions.