A computational model for financial reporting fraud detection

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• 作者：Fletcher H. Glancy^a ; ^{fglancy@lindenwood.edu} ; Surya B. Yadav^b [Author vitae]
• 关键词：Fraud ; Financial reporting ; Text mining ; Quantitative model
• 刊名：Decision Support Systems
• 出版年：2011
• 出版时间：February 2011
• 年：2011
• 卷：50
• 期：3
• 页码：595-601
• 全文大小：452 K

文摘

A computational fraud detection model (CFDM) was proposed for detecting fraud in financial reporting. CFDM uses a quantitative approach on textual data. It incorporates techniques that use essentially all of information contained in the textual data for fraud detection. Extant work provides a foundation for detecting deception in high and low synchronicity computer-mediated communication (CMC). CFDM provides an analytical method that has the potential for automation. It was tested on the Management's Discussion and Analysis from 10-K filings and was able to distinguish fraudulent filings from non-fraudulent ones. CFDM can serve as a screening tool where deception is suspected.