Cross Reference Up

Aggarwal, V and Dharni, K (2020). Deshelling the Shell Companies Using Benford’s Law: An Emerging Market Study. Vikalpa 45(3), pp. 160-169.

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.


Antonio, GR (2023). Numbers Don’t Lie: Decoding Financial Error and Fraud through Benford’s Law. UTSAHA (Journal of Entrepreneurship) 2(3) . DOI:10.56943/joe.v2i3.367. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Eutsler, J, Harris, MK, Williams, LT and Cornejo, OE (2023). Accounting for partisanship and politicization: Employing Benford's Law to examine misreporting of COVID-19 infection cases and deaths in the United States. Accounting, Organizations and Society, in press. DOI:10.1016/j.aos.2023.101455. View Complete Reference Online information Works that this work references Works that reference this work
Farhadi, N and Lahooti, H (2022). In Data We Trust: Proving Market Manipulation on the Tehran Stock Exchange. International Journal of Business and Management 17(4). DOI:10.5539/ijbm.v17n4p1. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Luty, P, Petković, M and Vavrek, R (2022). Applying Benfordʼs Law on assessing the reliability of financial information in European companies from the rental and leasing sector before and after the adoption of IFRS 16. The Theoretical Journal of Accounting 46(4), pp. 51-68. ISSN/ISBN:1641-4381 . View Complete Reference Online information Works that this work references No Bibliography works reference this work
Mörch, H and Hällgren, H (2022). Accounting manipulation - analyzing corporate subsidy recipients during the covid-19 pandemic. Masters thesis, Uppsala University, Sweden. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Silva, AdeA and Gouvêa, MA (2023). Study on the effect of sample size on type I error, in the first, second and first-two digits excessmad tests. International Journal of Accounting Information Systems 48, p. 100599. DOI:10.1016/j.accinf.2022.100599. View Complete Reference Online information Works that this work references No Bibliography works reference this work