Research On Financial Warning Of Automobile Manufacturing Based On Neural Network

2017 is the first year of the new U.S.government.Compared with the previous U.S.government's ruling style,the new U.S.President Trump has a remarkable pragmatism color,resulting in the ups and downs of the development of Sino-U.S.relations.The United States has conducted a series of trade surveys against China in the hope of suppressing China's market economy status and safeguarding the trade rules of "American Standards".In order to break China's weak position in the Sino-US trade war,China needs to accelerate the pace of independent R&D and reduce the impact of U.S.export control on Chinese manufacturing industry.Since the 21 st century,China's automobile manufacturing industry has developed very rapidly,and has become one of the most important pillar industries in China.By the end of2017,the output of China's automobile industry had reached 29.0154 million vehicles,and sales reached 28.8789 million vehicles.In terms of industrial concentration,manufacturing capacity and management level,China's automobile industry has been greatly improved.At the same time of China's economic development,the structure of the automotive industry has been constantly upgraded and adjusted,and mergers and reorganizations among automotive enterprises have been continuously promoted.At the same time,the internal and external competition environment of domestic automobile manufacturers is also more cruel,because foreign automobile manufacturers are also accelerating the speed of entering the Chinese market.In addition,the trade war launched by the United States to China has also brought crisis to Chinese automobile enterprises.If tariffs on imported cars are reduced in the future,the transformation and upgrading of Chinese automobile manufacturing will be more difficult.Under the impact of imported vehicles,the financial risks faced by China's automobile manufacturing industry will be more obvious.At present,the financial early warning has not achieved the desired effect at the application level,even though there are many studies on financial risk early warning at home and abroad,after all,the situations faced by various types of enterprises are different.Large-scale investment,long payback period,and very complex market environment willcause various risks to the financial activities of capital-intensive Chinese automobile manufacturing enterprises.Therefore,under the objective requirements of the market competition environment,it is necessary to accurately assess and analyze the financial risks of Chinese automobile manufacturing enterprises to help them further develop healthily.Therefore,this paper uses the BP neural network model for qualitative analysis,through quantitative analysis of early warning results combined with financial indicators,combined with financial risk management theory,as well as the characteristics of the automobile manufacturing industry itself,the financial risk early warning of China's automobile manufacturing enterprises has been more in-depth excavation.The first step of this paper is to summarize and summarize the theory of enterprise financial risk early warning,define the concept of financial risk and financial risk early warning clearly,and briefly summarize the related theory of enterprise financial risk early warning,make a general analysis of the development process and risk management status of China's automobile manufacturing enterprises,and form it in the direction of internal and external environment.The causes of this situation are analyzed.The second step is to screen the financial early warning model,select the samples needed by the early warning model,select the indicators needed by the early warning model,and construct the early warning model of financial risk.Then the model trained is verified and analyzed empirically.Through this step,the early warning model of financial risk of Chinese automobile manufacturing enterprises based on BP neural network is established.The last step is to use the financial risk early warning model constructed in this paper to forecast the financial risk degree of BYD,and put forward the corresponding preventive countermeasures according to the early warning results of BYD.