Accruals-based Fraud Detection
Accruals-Based Fraud Detection is a financial forensic method that identifies indicators of fraudulent financial reporting by analyzing abnormal patterns in accrual components of earnings, distinguishing it from broader fraud detection techniques through its focus on discretionary accruals as signals of management intent to manipulate financial statements.
19
Publications
1.2K
Citations
30
Authors
30
Institutions
Publications per year
2017–2026
3
Parents
19
Earnings Manipulation and Expected Returns
Messod D. Beneish, Charles M.C. Lee, D. Craig Nichols · Financial Analysts Journal · 2013 · 148 citations
Business, Accountancy, Accounting +15
Fraud Detection and Expected Returns
Messod D. Beneish, Charles M.C. Lee, D. Craig Nichols · SSRN Electronic Journal · 2012 · 95 citations · Full text
Business, Accountancy, Accounting +15
1–5 of 19
30
2
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 30
30

Pennsylvania State University
State College, United States
2 h-index
3 publications
209 citations
Arizona State University
Tempe, United States
2 h-index
2 publications
117 citations

New Mexico State University
Las Cruces, United States
2 h-index
2 publications
477 citations
University of Saint Joseph
West Hartford, United States
1 h-index
1 publications
148 citations
Bentley University
Waltham, United States
1 h-index
1 publications
105 citations
Yonsei University
Seoul, South Korea
1 h-index
3 publications
54 citations
Universitat Ramon Llull
Barcelona, Spain
1 h-index
1 publications
22 citations

Pelita Harapan University
Tangerang, Indonesia
1 h-index
2 publications
24 citations
1–8 of 30
Repository · 3 publications · 225 citations
3
h-index
CAR · 2 publications · 402 citations
2
h-index
EMR · 1 publications · 22 citations
1
h-index
1 publications · 11 citations
1
h-index
1 publications · 92 citations
1
h-index
1–5