Research On Financial Risk Evaluation Of Internet Listed Companies Based On BP Neural Network

Since the report of the Nineteenth National Congress of the Network Power Plan mentioned,the Internet industry has become an important force in China's economic development.Its main manifestation is the combination of mobile internet,big data,Internet of things and modern industries such as industry,agriculture,manufacturing,medical treatment,education and so on,which promotes the development of Internet enterprises.However,with the rapid development of market economy,the competition among Internet enterprises is becoming more and more fierce,and they are facing the threat of being eliminated.In order to gain a place in the cruel market competition and avoid the elimination of the market,Internet enterprises must always be vigilant,improve their operational capacity and strengthen financial risk management to prevent financial risks.In view of the importance of the development of Internet enterprises to the national economy and the particularity of the Internet industry itself,it is of great research value to construct the financial risk evaluation model of Internet listed companies.Firstly,this paper elaborates and analyses the relevant theories of financial risk assessment and financial risk assessment methods,and then combines the current development situation and industry background of Internet enterprises in China,analyses and classifies the main financial risks faced by Internet enterprises,namely,financing risk,investment risk,operation risk and cash flow risk.According to each risk type,it makes a specific analysis of Internet enterprises.The factors affecting financial risk assessment are put forward,and an index system for financial risk assessment of Internet listed enterprises is constructed.Then,it compares various methods of financial risk assessment,compares their advantages and disadvantages,and finally chooses the BP neural network method which is most suitable for Internet enterprises.Then,93 Internet companies listed on Shanghai and Shenzhen motherboards are selected as research samples,and their financial data in 2016 and 2017 are excavated.The sample data are processed by principal component analysis and cluster analysis,and the training simulation is carried out by using BP neural network.The financial risk evaluation model of Internet listed enterprises is established,and the robustness of the model is classified into groups.Inspection.Finally,this paper uses the data of Internet listed companies in 2016 to forecast the financial risk in 2017,and analyses the predictive effect of the financial risk evaluation of the BP neural network model.After the training and testing of the Internet financial risk assessment model based on BP neural network constructed in this paper,it can accurately determine the existing financial status of Internet listed companies and have a good forecasting effect.The results of the evaluation can accurately make Internet companies The manager clearly judges whether the enterprise is facing financial risks and adopts appropriate and post-control measures according to the actual situation.In the end,it will improve the risk response capability of Internet companies and enhance the domestic and international status of Internet listed companies.