Detecting Fraudulent Financial Statements for the Sustainable Development of the Socio-Economy in China: A Multi-Analytic Approach

Detecting Fraudulent Financial Statements for the Sustainable Development of the Socio-Economy in China: A Multi-Analytic Approach

Identifying financial statement fraud activities is very important for the sustainable development of a socio-economy, especially in China’s emerging capital market. Although many scholars have paid attention to fraud detection in recent years, they have rarely focused on both financial an...

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Bibliographic Details
Main Authors: Jianrong Yao, Yanqin Pan, Shuiqing Yang, Yuangao Chen, Yixiao Li
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Sustainability
Subjects:
fraudulent financial statements
data mining
support vector machine (SVM)
dimensionality reduction
stepwise regression
China
Online Access:http://www.mdpi.com/2071-1050/11/6/1579

Internet

http://www.mdpi.com/2071-1050/11/6/1579

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