Forensic accounting: the use of Benford's law to evaluate indications of fraud
DOI:
https://doi.org/10.23925/2446-9513.2022v9id57343Palabras clave:
Fraud DetectionResumen
The sudden decline in profit at PII Corporation is an important issue that requires further discussion. This study aims to evince whether there are indications of fraud in the preparation of PII Corporation's profit and loss statements, which can be proven through Benford's Law. This study uses the Binomial Test, Sign Test, and Chi-Squared Test methods to test the alignment of data with Benford's Law. The sample in this study consists of PII Corporation's 2013-2019 profit and loss reports. The results have shown that 25 out of 28 tests expressed no indication of fraud, while 3 tests have indicated fraud, detected in the fourth digit of the company's expenses, in the first 2 digits of its expenses, and in the last 2 digits of other incomes and costs. After further investigation, it was found that the significant decrease in profit occurred because the company had paid interest on bonds with quite large values in 2019, so the statistical test results were considered false-positive. The recommendation that can be given is that PII Corporation regulates the imposition of the bond coupon value in stages.
Citas
Alali, F. A., & Romero, S. (2013). Benford’s Law: Analyzing a Decade of Financial Data. Journal of Emerging Technologies in Accounting, 10(1), 1–39. https://doi.org/10.2308/jeta-50749
Benford, F. (1938). The Law of Anomalous Numbers. Proceedings of the American Philosophical Society, 78(4), 551–572. Retrieved from https://www.jstor.org/stable/984802
Bierstaker, J. L., Brody, R. G., & Pacini, C. (2006). Accountants’ perceptions regarding fraud detection and prevention methods. Managerial Auditing Journal, 21(5), 520–535. https://doi.org/10.1108/02686900610667283
Cerioli, A., Barabesi, L., Cerasa, A., Menegatti, M., & Perrotta, D. (2019). Newcomb–Benford law and the detection of frauds in international trade. Proceedings of the National Academy of Sciences of the United States of America, 116(1), 106–115. https://doi.org/10.1073/pnas.1806617115
Chandra, T., Renaldo, N., & Putra, L. C. (2018). Stock Market Reaction towards SPECT Events using CAPM Adjusted Return. Opción, Año 34(Especial No.15), 338–374.
Davydov, D., & Swidler, S. (2017). Auditing Bank Financial Statements in Emerging Market Countries: The Use of the Benford Distribution. Risk Management in Emerging Markets, 187–200. https://doi.org/10.37307/j.1867-8394.2008.02.07
Geyer, D., & Drechsler, C. (2014). Detecting Cosmetic Debt Management Using Benford’s Law. The Journal of Applied Business Research, 30(5), 1485–1492. https://doi.org/10.19030/jabr.v30i5.8801
González, F. A. I. (2020). Self-reported income data: are people telling the truth? Journal of Financial Crime, 27(4), 1349–1359. https://doi.org/10.1108/JFC-08-2019-0113
Hafni, L., Renaldo, N., Chandra, T., & Thaief, I. (2020). The Use of Regression Models with Supply Chain Management to Increase Financial Satisfaction of Generation Z. International Journal of Supply Chain Management, 9(5), 1641–1650.
Kruger, P. S., & Yadavalli, V. S. S. (2017). THE POWER OF ONE: BENFORD’S LAW. South African Journal of Industrial Engineering, 28(2), 1–13.
Kuruppu, N. (2019). The Application of Benford’s Law in Fraud Detection: A Systematic Methodology. International Business Research, 12(10), 1–10. https://doi.org/10.5539/ibr.v12n10p1
Lind, D. A., Marchal, W. G., & Wathen, S. A. (2018). Statistical Techniques in Business & Economics. Economics (Seventeent). New York: McGraw-Hill Education.
Mardiyaningsih, & Kamil, K. (2020). Pengaruh Komisaris Independen, Komite Audit, Kualitas Audit Terhadap Nilai Perusahan. Sekolah Tinggi Ilmu Ekonomi Indonesia, 1–15.
Miller, S. J., & Nigrini, M. J. (2008). Order Statistics and Benford’s Law. International Journal of Mathematics and Mathematical Sciences, 1–14. https://doi.org/10.1155/2008/382948
Newcomb, S. (1881). Note on the Frequency of Use of the Different Digits in Natural Numbers. American Journal of Mathematics, 39–40. https://doi.org/DOI: 10.2307/2369148
Nigrini, Mark J. (2015). Persistent Patterns in Stock Returns, Stock Volumes, and Accounting Data in the U.S. Capital Markets. Journal of Accounting, Auditing and Finance, 30(4), 1–17. https://doi.org/10.1177/0148558X15584051
Nigrini, Mark J., & Miller, S. J. (2007). Benford’s Law Applied to Hydrology Data - Results and Relevance to Other Geophysical Data. Mathematical Geology, 39(5), 469–490. https://doi.org/10.1007/s11004-007-9109-5
Nigrini, Mark John. (2012). Benford’s Law: Application for Forensic Accounting, Auditing, and Fraud Detection. New Jersey: John Wiley & Sons, Inc.
Nyoto, Renaldo, N., Karuppannan, G., Bhuiyan, A. B., & Kumarasamy, M. M. (2021). The Determinance of the Financial Behavior among Graduate Students in Indonesia. Australian Finance & Banking Review, 5(1), 29–42. https://doi.org/https://doi.org/10.46281/afbr.v5i1.1009
Pažický, M. (2017). Stock Price Simulation Using Bootstrap and Monte Carlo. Scientific Annals of Economics and Business, 64(2), 155–170. https://doi.org/10.1515/saeb-2017-0010
Qin, L., Han, S., Xing, L., Zhang, J., Zhang, J., Yang, R., & Wu, J. (2019). Application Research of Benford’s Law in Testing Agrometeorological Data. IOP Conference Series: Earth and Environmental Science, 310, 1–11. https://doi.org/10.1088/1755-1315/310/5/052030
Renaldo, N., Sudarno, Suhardjo, Putri, I. Y., Suyono, Andi, & Hutahuruk, M. B. (2021). Fraud Detection at Rural Credit Banks in Riau Province until the 2019 Financial Report. International Journal of Advanced Multidisciplinary Research and Studies, 1(3), 51–57.
Renaldo, N., Suhardjo, Putri, I. Y., Juventia, J., & Nur, N. M. (2021). Penilaian Harga Saham Hijau Perusahaan Sektor Industri Barang Konsumsi Tahun 2015-2019. Procuratio: Jurnal Ilmiah Manajemen, 9(3), 283–298.
Silva, P. C. C. G. da. (2016). Assessing the omission of records from a data set using Benford’s law. Journal of Financial Crime, 23(3). Retrieved from http://dx.doi.org/10.1108/JFC-07-2014-0036%5Cnhttp://dx.doi.org/10.1108/JFC-06-2015-0030%5Cnhttp://dx.doi.org/10.1108/JFC-09-2015-0053
Slijepcevic, S., & Blaskovic, B. (2014). Statistical detection of fraud in the reporting of Croatian public companies. Financial Theory and Practice. https://doi.org/10.3326/fintp.38.1.4
Striga, D., & Podobnik, V. (2018). Benford’s Law and Dunbar’s Number: Does Facebook Have a Power to Change Natural and Anthropological Laws? IEEE Access, 6, 14629–14642. https://doi.org/10.1109/ACCESS.2018.2805712
Sujatha, & Gomez, M. S. S. (2013). Fraud Detection and Forensic Accounting. International Journal of Science and Research (IJSR), 4(4), 3366–3369. https://doi.org/10.1007/978-3-642-20826-3_2
Sumartono, Urumsah, D., & Hamdani, R. (2020). Skills of the Forensic Accountants in Revealing Fraud in Public Sector: The Case of Indonesia. Journal of Accounting and Investment, 21(1), 180–194. https://doi.org/10.18196/jai.2101144
Suyono, Renaldo, N., Sevendy, T., Putri, I. Y., & Sitompul, Y. S. (2021). Pengaruh ROA, DER terhadap Ukuran Perusahaan dan Nilai Perusahaan Makanan dan Minuman. Bilancia: Jurnal Ilmiah Akuntansi, 5(3), 308–317.
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