Research On Financial Early Warning Issues Of Listed Companies In China's Transportation And Warehousing Industry

With the continuous improvement and development of China's market economy,and the influence of economic globalization on China is increasing day by day,the environment faced by enterprises is more complicated and changeable,this makes the enterprise in the process of survival and development need to face a greater financial crisis.If these crises are not timely and effective control will cause serious threat to the survival of enterprises and destruction.Transportation and storage industry is the pillar industry of China's national economy,its correlation degree is high,the drive is strong,has the huge influence to the national economy development.It is of great significance to establish an effective financial early warning model to track and evaluate the financial situation of the transportation and warehousing industry in our country,and to find the problem and take effective measures to control it in time.First of all,this paper introduces the background and significance of the study,by drawing lessons from domestic and foreign scholars in the financial early warning research results,establish the research methods and innovation of this paper,operating net cash flow/current liabilities for two consecutive years is less than China's total A shares of the index in the past five years the average value of the standard to define the financial crisis.Then elaborate the meaning of the financial crisis,and the financial crisis of our company defined.Then introduces the meaning of financial early-warning and theoretical basis of several existing early-warning models were compared and analyzed,summed up the advantages and disadvantages of the financial early-warning model,based on this,select the Logistic regression model as the financial early-warning model of this paper.Secondly,in the analysis of the status quo of China's transportation and warehousing industry and the factors that lead to financial crisis,the 70-2015 Shanghai and Shenzhen two cities of the 2010 transport and warehousing industry listed companies as the research object,among them,54 for modeling samples,the remaining 16 for the inspection samples,according to the characteristics of the transport and warehousing industry,select the 29 Financial Indicators.With the help of statistical software SPSS 19.0,the use of single sample K-S test,two independent samples Mann-Whitney U test for the screening of financial indicators,using factor analysis and Logistic regression analysis to establish the financial early warning model of China's transportation and warehousing industry,and to test the model.Finally,the results of this study and the model are summarized,and the measures for the financial crisis control are put forward for the transportation and warehousing industry in our country.At the same time,this paper also analyzes the deficiencies of this study,and puts forward suggestions for further research.