Study on Identification of Financial Fraud in Information Disclosure of Listed Companies - Based on Administrative Penalty Data of the Secondary Industry from 2001 to 2018

Yang Caifen

Abstract: This article is based on securities and futures commission due to the disclosure of financial fraud in 2001-2018 was the first time the administrative punishment of the second industry of listed companies and ultimately selected 144 listed companies as the data samples, the samples for fraud and non fraud samples 72 each, according to the theory of CRIME five factors selected 24 indicators, and the significance test, the data correlation inspection and collinearity finally get financial indicators and non-financial indicators for a total of 12, recognition rate reached 79.9 %, the resulting model has good recognition effect.

Keywords: Secondary industry, Information disclosure, Financial fraud, Logistic regression