Research On Financial Risk Early Warning Of New Energy Industry Based On PLS-Logistic Model

The high-quality development of economy puts forward new requirements for energy development,and the transformation and upgrading of China's energy industry is taking new steps at the present stage.The state actively promotes the orderly development of high-quality environmental protection production capacity,actively promotes the consumption of clean energy,adjusts the structure of the energy industry,and strives to improve the universal service level of new energy.The development of the new energy industry has ushered in an important stage of accelerated development.However,as a national strategic emerging industry,the development of the new energy industry not only needs the support of high and new technology,but also needs a large amount of capital investment at the beginning of the period,with high cost and long income cycle.As the core representative of new energy industry,new energy listed companies need to clearly identify the direction of future energy transformation,firmly grasp the core links of new energy industry,strengthen enterprise risk management,and improve enterprise financing mechanism.in order to make the steady,healthy and sustainable development of new energy enterprises.Financing,investment and operational risks in financial risks are the core of enterprise risk management,and the prevention of corporate financial risks is very important to the future development of the new energy industry.By analyzing and sorting out the relevant research literature on financial risk,financial risk early warning and financial risk early warning methods,this paper defines the meaning of new energy,and summarizes the financial risk characteristics of new energy listed companies.On this basis,the partial least square analysis(PLS)is used to generate and mine the financial and non-financial index information of 78 new energy listed companies in the new energy industry.Integrate it as a "fragment" into a multivariate model with the same standard caliber to deal with it,and then use the extracted partial least square factor to predict the financial risk of 78 sample companies through the Logistic model regression method,compare it with the set financial risk early warning threshold,get the financial risk comprehensive index and the corresponding financial risk status(ST or non-ST),and compare the actual financial situation of the enterprise.It is known that the financial risk early warning model constructed in this paper can predict the financial crisis of listed companies in the new energy industry with an accuracy of up to 90%,and the early warning effect is very ideal.Then,according to the PLSLogistic model,the financial risk evaluation standard of new energy enterprises is established to evaluate the new energy listed companies.Then introduce * ST Kaidi as a case,test its financial risk coefficient through the model,analyze the causes of financial crisis,and put forward reasonable suggestions by reducing costs,optimizing financing structure and building a complete and effective internal management mechanism to prevent and control the occurrence of financial risks,so as to promote efficient resource allocation and integration,so as to achieve the purpose of financial risk early warning.Finally,it makes a simple summary of the full text and puts forward four reasonable suggestions for constructing the financial risk early warning system of listed companies in the new energy industry in the future.