Contabilidade forense: o uso da lei de benford para avaliar indicações de fraude
DOI:
https://doi.org/10.23925/2446-9513.2022v9id57343Palavras-chave:
Detecção de fraudeResumo
O súbito declínio no lucro da PII Corporation é uma questão importante que requer mais discussão. Este estudo tem como objetivo evidenciar se há indícios de fraude na elaboração das demonstrações de resultados da PII Corporation, o que pode ser comprovado por meio da Lei de Benford. Este estudo utiliza os métodos Teste Binomial, Teste de Sinais e Teste Qui-Quadrado para testar o alinhamento dos dados com a Lei de Benford. A amostra deste estudo consiste nas demonstrações de resultados de 2013-2019 da PII Corporation. Os resultados mostraram que 25 dos 28 testes não expressaram indícios de fraude, enquanto 3 testes indicaram fraude, detectadas no quarto dígito das despesas da empresa, nos primeiros 2 dígitos de suas despesas e nos 2 últimos dígitos de outras receitas e custos. Após uma investigação mais aprofundada, apurou-se que a diminuição significativa do lucro ocorreu porque a empresa pagou juros sobre títulos com valores bastante elevados em 2019, então os resultados dos testes estatísticos foram considerados falso-positivos. A recomendação que pode ser oferecida é que a PII Corporation regule a imposição do valor do cupom do título por etapas.
Referências
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.
Downloads
Publicado
Como Citar
Edição
Seção
Licença
Copyright (c) 2022 Revista Eletrônica do Departamento de Ciências Contábeis & Departamento de Atuária e Métodos Quantitativos (REDECA)
Este trabalho está licenciado sob uma licença Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.