Chakrabarthy, B, Moulton, PC, Pugachev, L and Wang, X (2019). Catch Me If You Can: Improving the Scope and Accuracy of Fraud Prediction. E-print available at SSRN: https://ssrn.com/abstract=3352667, March 13, 2019.
This work is cited by the following items of the Benford Online Bibliography:
Note that this list may be incomplete, and is currently being updated. Please check again at a later date.
Alawadhi, A, Karpoff, J, Koski, JL and Martin, GD (2023). The prevalence and price distorting effects of undetected financial misrepresentation:
Empirical evidence. Preprint (first posted at SSRN in 2020). DOI:10.2139/ssrn.3532053.
|
|
|
|
|
Cano‐Rodríguez, M, Licerán-Gutiérrez, A and Nunez-Nickel, M (2023). Does Divergence from Benford’s Distribution Signal Earnings Management?. Preprint available at SSRN; last accessed January 16, 2025. DOI:10.2139/ssrn.4475622.
|
|
|
|
|
Gepp, A, Kumar, K and Bhattacharya, S (2023). Taking the hunch out of the crunch: A framework to
improve variable selection in models to detect financial statement fraud. Accounting & Finance 2023, pp.1–20.. DOI:10.1111/acfi.13192 .
|
|
|
|
|
Horton, J, Kumar, DK and Mercado, F (2023). Anticipating Corporate Misreporting: Leveraging the Slippery Slope Phenomenon and its Predictive Power. Preprint.
|
|
|
|
|
Le, L and Mantelaers, E (2024). Benford’s Law and Beyond: A framework for auditors. Maandblad voor Accountancy en Bedrijfseconomie 98(7), pp. 427–438. DOI:10.5117/mab.98.134061.
|
|
|
|
|