NUMBERS DON’T LIE: DECODING FINANCIAL ERROR AND FRAUD THROUGH BENFORD’S LAW
Universitas Surabaya
DOI:
https://doi.org/10.56943/joe.v2i3.367This research investigates Benford’s Law as a statistical instrument to detect financial fraud and errors. Benford's Law, also known as the First-Digit Law, states that lesser digits, specifically '1', frequently appear as the leading digit in numerous numerical datasets, and deviations from this distribution may indicate potential financial irregularities. This research examines literature demonstrating the application and efficacy of Benford’s Law in identifying numerical inconsistencies indicative of financial misconduct. This research investigates the use of Benford’s Law as a tool of detecting error and fraudulent activities within the sales data of two branches during 2022. A comprehensive dataset of 3098 records from Bandung and 539 records from Surabaya was collected after excluding certain data points that exhibited abnormalities. The application of Benford's statistical test discovered a discrepancy between the Benford probability and the observed probability, suggesting the presence of possible errors and frauds. The audit findings unveiled anomalies in pricing and instances of fraudulent activities in both locations, primarily due to pricing discrepancies and incorrect price inputs from sales orders. Furthermore, instances of fraud involved the manipulation of set prices for personal gain by salesmen. The results affirmed the hypothesis that a larger deviation between Benford’s probability and the observed probability corresponded with a higher incidence of error and fraud. However, it observes that Benford’s Law is not a stand-alone solution for detecting fraud, as not all financial datasets conform to it and deviations from the law only indicate the possibility of fraud, not confirm it. Therefore, the research suggests using Benford’s Law in conjunction with other data analysis and auditing techniques to conduct a comprehensive investigation. The conclusion of research emphasizes the significance of Benford’s Law in the field of forensic accounting and the need for multidimensional strategies for effective error and fraud detection.
Keywords: Audit Systems Benford’s Law Errors Fraud
Aggarwal, V., & Dharni, K. (2020). Deshelling the Shell Companies Using Benford’s Law: An Emerging Market Study. Vikalpa: The Journal for Decision Makers, 45(3), 160–169. https://doi.org/10.1177/0256090920979695
Antonio, G. R. (2014). Continuous auditing: Developing automated audit systems for fraud and error detections. Journal of Economics, Business, & Accountancy Ventura, 17(1), 127. https://doi.org/10.14414/jebav.v17i1.272
Antonio, G. R. (2022). The Effectiveness of Continuous Auditing Implementation: Developing Automated Audit Systems for Fraud and Error Detections. UTSAHA (Journal of Entrepreneurship), 1(3). https://journal.jfpublisher.com/index.php/joe/article/view/157
Ghooi, R., Bhosale, N., Wadhwani, R., Divate, P., & Divate, U. (2016). Assessment and classification of protocol deviations. Perspectives in Clinical Research, 7(3), 132. https://doi.org/10.4103/2229-3485.184817
Gorenc, M. (2019). Benford’s Law as a Useful Tool to Determine Fraud in Financial Statements. Management, 14(1), 19–31.
Grammatikos, T., & Papanikolaou, N. I. (2021). Applying Benford’s Law to Detect Accounting Data Manipulation in the Banking Industry. Journal of Financial Services Research, 59(1–2), 115–142. https://doi.org/10.1007/s10693-020-00334-9
Li, F., Han, S., Zhang, H., Ding, J., Zhang, J., & Wu, J. (2019). Application of Benford’s law in Data Analysis. Journal of Physics: Conference Series, 1168, 032133. https://doi.org/10.1088/1742-6596/1168/3/032133
Renaldo, N., Sudarno, S., Hutahuruk, M. B., Suhardjo, S., Suyono, S., Putri, I. Y., & Andi, A. (2022). Forensic Accounting: The Use of Benford’s Law to Evaluate Indications of Fraud. Revista Eletrônica Do Departamento de Ciências Contábeis & Departamento de Atuária e Métodos Quantitativos (REDECA), 9, e57343. https://doi.org/10.23925/2446-9513.2022v9id57343
Setyawan, E. C. (2020). The Use of Benford’s Law in Performance Audit to Detect Fraud in The State Expenditure Transactions Assisted by Idea Software (A Case Study at the Transportation Ministry Work Units). Asia Pacific Fraud Journal, 5(1), 147. https://doi.org/10.21532/apfjournal.v5i1.145
Tammaru, M., & Alver, L. (2016). Application of Benford’s Law for Fraud Detection in Financial Statements: Theoretical Review. Proceedings of the 5th International Conference on Accounting, Auditing, and Taxation (ICAAT 2016). https://doi.org/10.2991/icaat-16.2016.46