The Detecting Model's Construction And Empirical Study On Financial Fraud Of Chinese Manufacturing Listed Companies

The problems of financial fraud have existed since the modern capital markets appeared. Since entering the 21st century, the exposure of financial fraud becoming more and more, seriously damage the legitimate interests of investors. Prevent the capital market from developing. The standard information disclosure is the decision basis of investors. Therefore, the fraud financial reporting will mislead investors; it also seriously hurts the confidence of majority investors. The problem of financial fraud has become a hot topic between Theory and practice.The exposure cheating cases are mostly requested by the top management. The financial report fraud of listed companies also intelligently fabricated, but identify it is not impossible. The domestic and foreign researchers have done some relevant research on operation ability, the board structure, and equity structure and so on, established the detecting models. The current research was based on all industries to establish common detecting model, no distinction between trade model, and different industry have different financial characteristics because of its background, therefore Establishing industrial detecting model is more specific and higher rate. Based on the previous research, because the manufacturing listed company is the main companies and their fraud behaviors are rampant, this paper establish a detecting model of Chinese manufacturing listed companies, The result of the manufacturing model is better due to the inspection.The thesis takes the empirical study and case analysis, selected 26 manufacturing listed companies as a fraud, with assets of similar samples which assets scale is similar with the fraud companies, through the Logistics control return, establish fraud detecting model, and test the model's recognition rate, in order to help users identify fraud reports quickly.