Research On Financial Risk Warning Of Listed Companies Of Energy Conservation And Environmental Protection Industry Based On BP Neural Network

With the further development of national environmental protection work and the increasingly mature environmental protection industry policy,China's environmental protection industry standards are rapidly improved,environmental protection industry continues to expand,environmental protection technology and industrial structure continue to upgrade.A large number of social capital into the energy saving and environmental protection industry,the industry market is expected to usher in explosive growth.And many listed companies in the industry are facing greater financial risk management pressure.This paper attempts to through the combination of qualitative and quantitative methods,on the one hand,starting from the definition of the principal-agent theory and corporate crisis management theory and the financial risk of non equilibrium theory,the characteristics and influencing factors of the financial risk of listed companies of energy conservation and environmental protection industry.Combing the relevant research at home and abroad,to explore the current practical application of the financial risk early warning model deficiencies.On the other hand,the financial performance of 66 Sample Firms in the 2012-2016 period is selected,and the financial status of the company is divided into three forms: financial health,one year loss and St company.And select a variety of financial indicators and non-financial indicators reflecting the company's profitability,growth ability,operating capacity,solvency,cash flow capacity,corporate governance level,a total of 21 as the basis of early warning indicators.After the index and sample were tested by multiple collinearity test and stepwise regression method,the 8 indicators which can reflect the financial risk status of listed companies were obtained.BP neural network is used to build the financial early-warning model of energy saving and environmental protection industry company in China,and the prediction accuracy of the model is verified by test samples.The application and the "Longyuan technology" listed companies as an example of the model,the results show that the neural network model can effectively predict enterprise future within a certain period of time will occur financial crisis,with strong stability and accuracy.Finally,three suggestions are proposed according to the status of energy saving and environmental protection industry listed companies:(1)the enterprise should establish the correct concept of financial early-warning,scientific improvement of financial early-warning model;(2)the impact on enterprises should pay attention to the cash flow risk of financial risk;(3)the enterprises should actively play practical advantages,the introduction of non-financial indicators for early warning analysis on financial early-warning model.