Research On Financial Risk Early Warning Of Surfilter Based On ELM Model From The Perspective Of Cash Flow

Recently,economic situation at home and abroad is complex.With the continuous growth of China capital market,problems such as the Sino-US trade war and the transformation of domestic economic structure have also emerged one after another,affecting China economic situation and increasing pressure on business development.In this complex economic background,the importance of financial risk early warning has gradually emerged.A set of efficient and accurate early warning methods can make enterprises predict about financial risk,and take corresponding preventive measures in time to ensure the sustainable and stable development of enterprises.There are many factors that have caused the financial risk of enterprises,and cash flow is a very important factor.No matter the size of the enterprise,the rupture of the capital chain will directly lead to the crisis of the enterprise.To some extent,maintaining stable and reasonable cash flow can ensure the stable and long-term development of enterprises more than obtaining excess profits.Based on the above,this paper elaborates the financial crisis early warning of enterprise in terms of cash flow,with the purpose of making complements for relevant studies.This paper will study Surfilter,a listed company in the network security industry,and find the necessity of building a financial crisis early warning system after fully analyzing its internal and external risks.On the basis of a large number of studies on financial risk early warning,this paper establishes a financial early warning model in terms of cash flow in line with the characteristics of any bank according to the relevant data of the network security industry.In the construction of the financial early warning model of any sub-bank,the entropy method is used to screen the financial indicators related to cash flow,so as to ensure that the selected indicators are more scientific and provide an index system basis for the construction of ELM model.Then,we use the data of 84 companies in the network security industry for 10 years to construct the ELM model and test the accuracy of this model,and then apply to the constructed model to conduct early warning study on the financial risks of any branch.Finally,combined with the overall development of enterprises put forward the corresponding risk prevention measures.Through the research of this paper,it can not only provide certain decision-making basis for the managers of any subsidiary enterprise itself,but also provide certain reference ideas for the financial early warning research of enterprises in the network security industry.