Research On The Financial Crisis Warning Of M New Energy Company Under The Background Of Big Data

With the rapid development of social environment and information technology,the financial risks of enterprises are everywhere.Therefore,the early warning of financial crisis is very important.At present,the new energy industry has developed rapidly and become an indispensable industry in today's national life,but if it is not properly managed or prevented,it is likely to have serious financial problems.Therefore,it is urgent to study the sensitive indicators of the new energy industry,so as to carry out financial crisis early warning research.At the same time,it is a new breakthrough and attempt to make a better study of financial crisis early warning of new energy industry by means of big data.Based on the related knowledge of financial risk control and crisis early warning,this paper uses the methods and ideas of excellent scholars,uses SPSS software to establish logistic model,selects 60 new energy listed companies as the research object,studies their financial indicators and constructs the financial crisis early warning model of new energy listed companies.On this basis,with the background of big data,we use Python software to crawl the data of listed companies and analyze the emotional text,so as to get the non-financial indicators of enterprises.In this way,the accuracy of financial crisis model is further determined,and a part of samples are selected to test the model.Finally,the model is applied to m new energy company,combining literature analysis,quantitative analysis and case analysis to analyze the financial indicators and non-financial indicators of m new energy company,find out the existing problems and optimize them,so as to reduce the possibility of financial crisis of the company.In addition,as a case of new energy industry,it can help the whole industry.