Case Study Of Financial Risk Early Warning Of Neusoft Group Based On Support Vector Machine

Both the Asian financial crisis and the US subprime mortgage crisis have shown us the "butterfly effect" transmitted from the economic field to the social field.In the face of a complex and changing economic environment,Chinese companies that are advancing in the market tide urgently need to assume the important mission of early warning of risks.Financial risk early warning is mainly micro-economic data such as financial statement data and business management information.It uses statistical methods and data mining techniques to analyze the financial status and operating status of the company to discover the operating risks and risks in business management.Financial risks,alerting the business operators before potential risks turn into real crises,prompt the management of the company to take effective measures to resolve the potential risks in a timely manner to ensure the safety of the enterprise.In this paper,Neusoft Group,a listed company in the information technology industry,is selected as the research object.After a thorough analysis of its internal and external risks,it is found that it is necessary to build a financial risk early warning system.After reading a lot of domestic and foreign financial risk early-warning research,the current risk classification cannot meet the needs of enterprises,it is proposed to reconstruct the risk category.The efficiency coefficient method can reasonably evaluate the financial status and operating results of Chinese enterprises.Therefore,this method is selected to calculate the five-category risk of the 11-year sample data of information technology service listed companies.Among the calculation in this method,the principal component analysis method is used to determine the coefficients of financial indicators for it eliminates subjective factors.Compared with other financial early warning methods,the support vector machine has a good generalization ability for a limited sample and can obtain the optimal solution under the existing information conditions.Therefore,the multipoint method of the support vector machine is selected to provide technical support for financial early warning.The validity of the constructed risk early warning system has been proved and finally it has been applied to the Neusoft Group.The research results show that the model can better predict the financial risk of Neusoft Group.It was identified that Neusoft Group has appeared financial risks in recent years.Finally,the risk prevention countermeasures were put forward based on the overall development of the enterprise.