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

Authors

30

  1. DR
    Dahlia Robinson

    University of South Florida, United States

    2 publications · 117 citations

    2

    h-index

  2. KL
    Keith L. Jones

    North Carolina State University, United States

    2 publications · 477 citations

    2

    h-index

  3. AM
    Andrew M. Sbaraglia

    Florida International University, United States

    2 publications · 117 citations

    2

    h-index

  4. CM
    Charles M.C. Lee

    Stanford University, United States

    2 publications · 243 citations

    2

    h-index

  5. KD
    Kevin D. Melendrez

    New Mexico State University, United States

    2 publications · 477 citations

    2

    h-index

1–5 of 30

Venues

  1. SSRN Electronic Journal

    Repository · 3 publications · 225 citations

    3

    h-index

  2. Contemporary Accounting Research

    CAR · 2 publications · 402 citations

    2

    h-index

  3. European Management Review

    EMR · 1 publications · 22 citations

    1

    h-index

  4. Advances in Accounting

    1 publications · 11 citations

    1

    h-index

  5. Review of Accounting Studies

    1 publications · 92 citations

    1

    h-index

1–5