Research On Financial Risk Early Warning Of G Company Based On Logistic Model

As the material foundation of economic development,energy determines the speed and level of world economic development.With the advancement of industrial globalization,the surge in energy demand has become a challenge that don’t be overlooked.From the "Ninth Five-Year Plan" to the "14th Five-Year Plan",the importance of new energy development has gradually become prominent,and the state has promulgated a sequence of policies to promote the development of the new energy industry in the promotion of the concept of sustainable development.In recent years,the market environment is constantly changing,all walks of life are affected,the new energy industry is no exception,its development is subject to the market environment and technology environment,and this type of enterprise initial investment is large,the income period is longer,so the financial risk problems faced by this type of enterprise are much higher than other enterprises.In addition,the traditional financial risk early warning model can not better meet the needs of enterprises,therefore,it is extremely urgent to find a financial risk early warning model suitable for this type of enterprise,early identification,early prevention of finance,which is particularly critical for the tomorrow development of companies.This paper takes Guoxuan Hi-Tech Co.,Ltd.(i.e.,G Company)as the research object,based on the theory of financial risk,and draws on the correlational research of financial risk early warning,first of all,the concept of financial risk and early warning of financial risk is elaborated,combined with the characteristics of the company’s industry,63 new energy companies are selected as sample companies,and indicators suitable for the characteristics of the industry are selected.Then the indicators are screened by means of significance tests,Bartlett spherical tests,principal component extraction,etc.,and finally the factors suitable for model construction are gained.According to the obtained factors,a Logistic regression model was selected to construct a financial risk early warning model,and the model was applied to Company G to analyze the enterprise’s financial questions and causes.Finally,according to the model calculations and the practical situation of the corporation,the corresponding suggestions are given to help the enterprise take appropriate measures in advance before the crisis occurs to prevent the delisting of the enterprise.The research on corporate financial risk early warning can not only effectively reduce the economic losses of G Company,but also enrich the relevant theories of financial risk early warning in the new energy battery industry.In this paper,the factor analysis is combined with the Logistic model,and through the embodiment of the research results,it shows that this method is more reasonable and effective.