Research On Financial Risk Warning Of New Energy Listed Companies Based On BP Neural Network

‘Carbon peak,carbon neutral’ requires a rapid transition to new energy.At present,China is at an important node in the transition to new energy.To develop new energy and adjust industrial structure is the main path for China to realize energy transformation.In this context,the new energy industry ushered in unprecedented opportunities.As an important carrier of the new energy industry,the development of new energy listed companies is directly affected by the operating conditions.Therefore,new energy listed companies need to strengthen financial risk management in order to promote the healthy development of new energy industry.At the same time,the new energy industry has high initial investment,many technical barriers,large financing risks,and its market mechanism is not fully mature,so the company will face more financial risks.Therefore,it is particularly important and urgent to pay attention to its financial situation in the context of ‘carbon peak and carbon neutral’.On the basis of financial risk theory,this paper analyzes the development status and existing problems of China’s new energy listed companies,and identifies the financial risks of China’s new energy listed companies from five aspects: debt repayment,profit,operation,development and cash flow.Then 88 new energy listed companies are selected as the research samples to build the BP neural network model.Through factor analysis,principal component analysis and other methods,20 indicators in financial statements are screened into 7indicators for learning,training and testing of BP neural network,so as to improve the rationality of financial early warning index system.In the empirical process,88 companies are divided into two groups: one group is 55 training companies for the training of BP neural network model,the other group is 33 inspection companies for the training of the model test.The accuracy rates of T-3,T-2 and T-1 were 66.67%,81.81% and 90.91%.This indicates that the prediction accuracy of this model is high and it can be used to warn the financial crisis of China’s new energy listed companies.A listed company is taken as an example for the application of the model.The results show that the financial risk early warning model based on BP neural network can effectively predict whether an enterprise will have financial crisis in a certain period of time in the future.The model has strong stability and prediction accuracy.