Financial Risk Of Wind Power Equipment Enterprises Research And Application

Wind power generation is one of the core of developing new energy,and wind power equipment is the most competitive new energy form in technology and cost.However,wind power equipment has the particularity of large R & D investment and long income cycle,and it faces great financial risks.Therefore,in order to prevent the loss caused by financial risk to wind power equipment enterprises,it is necessary to study its financial risk.Firstly,this paper puts forward that the financial risk of wind power equipment enterprises is mainly reflected in financing,investment,capital recovery,credit,liquidity and so on.Based on the comprehensive evaluation method,this paper focuses on the financial risk of wind power equipment enterprises.The fuzzy comprehensive evaluation financial risk model and factor analysis comprehensive evaluation financial risk model are constructed to quantify the financial risk,and the quarterly financial data are used for empirical analysis for the first time.The results show that the risk quantitative value of the comprehensive evaluation financial risk system built by factor analysis can reflect the fluctuation of the financial situation of the enterprise in the past period of time,find out the source of financial risk,and better warn the financial risk of the enterprise.Secondly,in the existing classification research literature,most of them explore the supervised data,that is,select ST and non ST listed companies as the risk classification category,and the scope of application of the research is limited.In fact,the financial data generated by enterprise business activities is unsupervised.First,classify the quarterly unsupervised financial data into supervised data,that is,the quarter with return on net assets greater than or equal to 0.2 is regarded as having no financial risk,and the quarter with return on net assets less than 0.2 is regarded as having financial risk.With the help of two classifier support vector machine,integrated classifier random forest and grid search method,this paper constructs the financial risk early warning model of wind power equipment enterprises.The results show that the classification accuracy of random forest is higher than that of support vector machine,and it is not sensitive to data,so it can better deal with the problem of enterprise financial risk early warning.