| In today’s increasingly open capital market and on the premise of promoting high-quality development,financial fraud emerges one after another,and its harm is very diverse,which will have a great impact on all parties concerned.Therefore,to explore the effective ways to identify financial fraud has obvious practical significance and theoretical value.In the research process,this paper uses literature analysis and empirical analysis.Theoretically,it summarizes the current situation of financial fraud identification in China and the methods and means of how to identify financial fraud through domestic and foreign literature.In terms of empirical analysis,this paper selects 50 fraudulent enterprises as samples,and selects the other 50 as matching.Then 10 representative indicators are selected as the influencing factors of financial fraud.Then all the data are analyzed and tested by logistic regression,and finally the financial fraud model is obtained.Finally,the research conclusion shows that among the selected indicators,the most explanatory ones are asset liability ratio,asset turnover rate and St.Finally,these three indicators are selected to enter the final fraud identification model.According to the actual case test results,the overall identification rate of the financial fraud identification model is 74%,which has a certain identification ability.The research conclusion has reference significance for identifying the financial fraud of listed companies.According to the research conclusions,the follow-up improvement methods include making reasonable adjustments to the actual distribution structure of equity of listed enterprises and the functional scope of the board of supervisors from the internal level;From the external level,we need to further improve the specific regulatory systems and policies,and strengthen personnel training to ensure that the overall quality of personnel in the industry is improved. |