Study On Financial Risk Early Warning Based On Efficiency Coefficient Method

With the advent of the era of intelligence,big data,artificial intelligence and cloud computing have become the new favorites of the times.On the one hand,intellectualization brings more avant-garde production methods and technologies to manufacturing enterprises like Wankale.On the other hand,if traditional manufacturing enterprises do not reform and conform to the pace of the times,they will be eliminated by the new era.Intelligent age brings not only opportunities but also many risks to household appliances manufacturing industry.In the face of many risks of the times,financial risk is an important role that can not be ignored.How to detect and prevent financial risk in time is very important for enterprises.Therefore,financial risk early warning system is indispensable for enterprises to prevent financial risks.It can help enterprises avoid risks in difficult situations and develop continuously.In this paper,Wanjiale Co.,Ltd.in household appliances industry is taken as the research object.Firstly,it elaborates the background,significance,methods and contents of this paper.At the same time,on the basis of extensive study of relevant literature at home and abroad,it discusses the current situation of financial risk early warning research,and then summarizes the current situation and puts forward the reasons for the use of efficiency coefficient method.Secondly,in the theoretical part,it discusses the theory of financial risk early warning and efficiency coefficient method,and then discusses the feasibility of applying efficiency coefficient method to Wanjiale financial risk early warning.First establish Wankale financial risk early warning model,and then verify the validity of the model applied to Wankale financial risk early warning.This paper gives an early warning of the financial risks of Wankale Company from 2015 to 2017,and puts forward countermeasures to prevent financial risks,so as to avoid Wankale Company being subjected to the special treatment of delisting risk warning again,and to maintain the stable operation of the company.