The role of accounting in anti-money laundering. Challenges and opportunities

El papel de la contabilidad en la lucha contra el lavado de dinero. Desafíos y oportunidades

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María de los Remedios Pérez Gómez
Germán Martínez Prats
Francisca Silva Hernández
Candelaria Guzmán Fernández

Abstract

This article addresses the importance of accounting in the fight against money laundering. The objective of the article is to analyze the role of accounting in combating laundering, identify relevant international regulations and frameworks, explore opportunities and best practices in the use of accounting, and highlight the importance of ethics and transparency in this work. The research was based on the analysis of specialized literature, including international regulations, accounting and auditing standards, as well as studies and best practices in money laundering prevention. It was found that accountants play a key role in money laundering prevention, acting as guardians of financial integrity. International regulations and frameworks, such as the recommendations of the FATF, establish the standards that accountants must comply with. The use of advanced technologies, such as data analysis and artificial intelligence, offers opportunities to improve the detection of patterns and suspicious transactions. Cooperation among financial institutions, regulators, and law enforcement authorities, as well as training and skill development of accounting professionals, are essential elements to strengthen prevention and detection mechanisms. By following these guidelines, accountants contribute to preventing and detecting illicit activities, promoting financial integrity, and fighting corruption and organized crime.

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Afanador, N. (2023). Historia de la producción y sus retos en la era actual. Región Científica, 2(1), 202315. https://doi.org/10.58763/rc202315

Al-Hashedi, K., y Magalingam, P. (2021). Financial fraud detection applying data mining techniques: A comprehensive review from 2009 to 2019. Computer Science Review, 40, 100402. https://doi.org/10.1016/J.COSREV.2021.100402

Amara, I., Khlif, H., y Ammari, A. (2020). Strength of auditing and reporting standards, corruption and money laundering: a cross-country investigation. Managerial Auditing Journal, 35, 1243-1259. https://doi.org/10.1108/MAJ-10-2018-2026

Andino-González, P. (2023). Estudio Bibliométrico sobre Empleabilidad. Ad-Gnosis, 12(12), 1-25. https://doi.org/10.21803/adgnosis.12.12.605

Asprilla, E., Lozano, H., Bechara, R., y Emiro, R. (2019). El medio ambiente como vi?ctima del conflicto armado en el departamento del Choco?. Pensamiento Americano, 12(23). https://doi.org/10.21803/pensam.v12i22.251

Badal-Valero, E., Alvarez-Jareño, J., y Pavía, J. (2018). Combining Benford's Law and machine learning to detect money laundering. An actual Spanish court case.. Forensic science international, 282, 24-34. https://doi.org/10.1016/j.forsciint.2017.11.008

Baesens, B., Höppner, S., y Verdonck, T. (2021). Data engineering for fraud detection. Decision Support Systems, 150, 113492. https://doi.org/10.1016/J.DSS.2021.113492

Bhardwaj, A., y Kaushik, K. (2022). Investigate Financial Crime Patterns Using Graph Databases. IT Professional, 24, 27-36. https://doi.org/10.1109/MITP.2022.3157029

Boisjoly, R., Conine, T., y McDonald, M. (2020). Working capital management: Financial and valuation impacts. Journal of Business Research, 108, 1-8. https://doi.org/10.1016/j.jbusres.2019.09.025

Bondarenko, N., y Kryzhanovska, O. (2020). Professional Values and Ethics as a Factor of Increasing Trust in the Profession of the Accountant. Accounting and Finance, 10-16. https://doi.org/10.33146/2307-9878-2020-4(90)-10-16

Canhoto, A. (2020). Leveraging machine learning in the global fight against money laundering and terrorism financing: An affordances perspective. Journal of Business Research, 131, 441 - 452. https://doi.org/10.1016/j.jbusres.2020.10.012

Casasempere-Satorres, A., y Vercher-Ferrándiz, M. (2020). Bibliographic documentary analysis. Getting the most out of the literature review in qualitative research. New Trends in Qualitative Research, 4, 247-257. https://doi.org/10.36367/ntqr.4.2020.247-257

Chen, Z., Khoa, L., Teoh, E., … y Lam, K. (2018). Machine learning techniques for anti-money laundering (AML) solutions in suspicious transaction detection: a review. Knowledge and Information Systems, 57, 245-285. https://doi.org/10.1007/s10115-017-1144-z

Cho, S., Vasarhelyi, M., Sun, T., y Zhang, C. (2020). Learning from Machine Learning in Accounting and Assurance. Journal of Emerging Technologies in Accounting, 17, 1-10. https://doi.org/10.2308/jeta-10718

Colladon, A., y Remondi, E. (2021). Using social network analysis to prevent money laundering. Expert Systems with Applications, 67, 49-58. https://doi.org/10.1016/j.eswa.2016.09.029

Creswell, J. (2019). Research Design. Qualitative, Quantitative and Mixed Method Approaches. SAGE

Eslava, R., Chacón, E., y Gonzalez, H. (2019). Costos estándar: aplicabilidad en las empresas del sector productivo. Gestión y Desarrollo Libre, 4(8). https://doi.org/10.18041/2539-3669/gestionlibre.8.2019.8122

Goldbarsht, D., y Harris, H. (2020). Transnational regulatory networks: a study in compliance and legitimacy in counter-terrorist financing. Journal of Financial Crime, 27, 855-870. https://doi.org/10.1108/JFC-01-2020-0013

Gómez, O. (2022). La franquicia: de la inversión al emprendimiento. Región Científica, 1(1), 20229. https://doi.org/10.58763/rc20229

Gómez, E. (2020). El nuevo liderazgo y la transformación de las organizaciones del siglo XXI. Gestión y Desarrollo Libre, 5(9). https://doi.org/10.18041/2539-3669/gestionlibre.9.2020.8113

Gonzales, Y., Quintanilla, L., y Pérez, A. (2023). Metaverse and education: A complex space for the next educational revolution. Metaverse Basic and Applied Research, 2, 56. https://doi.org/10.56294/mr202356

Habib, A., Hasan, M., y Al-Hadi, A. (2018). Money laundering and audit fees. Accounting and Business Research, 48, 427 - 459. https://doi.org/10.1080/00014788.2017.1392842

He, J., Tian, J., Wu, Y., … y Ji, Y. (2021). An Efficient Solution to Detect Common Topologies in Money Launderings Based on Coupling and Connection. IEEE Intelligent Systems, 36, 64-74. https://doi.org/10.1109/MIS.2021.3057590

Hernández, E., Larios-Gómez, E., y Gamboa, A. (2023). El conocimiento y el aprendizaje, como factores de éxito en el dinamismo de los dueños de micro unidades económicas. FACE: Revista De La Facultad De Ciencias Económicas Y Empresariales, 23(3), 5–16. https://doi.org/10.24054/face.v23i3.2611

Herrera, S., Maldonado, L., Jaimes, M., y Gélvez, R. (2021). Capacidad dinámica de innovación como apuesta competitiva de valor empresarial. Gestión y Desarrollo Libre, 3(5). https://doi.org/10.18041/2539-3669/gestionlibre.5.2018.8194

Huang, D., Mu, D., Yang, L., y Cai, X. (2018). CoDetect: Financial Fraud Detection With Anomaly Feature Detection. IEEE Access, 6, 19161-19174. https://doi.org/10.1109/ACCESS.2018.2816564

Ketenci, U., Kurt, T., Önal, S., … y .Ilhan, H. (2020). A Time-Frequency Based Suspicious Activity Detection for Anti-Money Laundering. IEEE Access, 9, 59957-59967. https://doi.org/10.1109/ACCESS.2021.3072114

Khanuja, H., y Adane, D. (2018). Monitor and Detect Suspicious Transactions With Database Forensic Analysis. J. Database Manag., 29, 28-50. https://doi.org/10.4018/JDM.2018100102

Kute, D., Pradhan, B., Shukla, N., y Alamri, A. (2021). Deep Learning and Explainable Artificial Intelligence Techniques Applied for Detecting Money Laundering–A Critical Review. IEEE Access, 9, 82300-82317. https://doi.org/10.1109/ACCESS.2021.3086230

López, D., Peñalosa, M., Larios, E., y Fischer, L. (2022). La lealtad de marca y el consumidor colombiano en época de covid-19. FACE: Revista De La Facultad De Ciencias Económicas Y Empresariales, 22(2), 4–13. https://doi.org/10.24054/face.v22i2.1326

Lukova, O. (2021). Expert Verification of Accounting Information on Financial Instruments for Solving Economic Crimes. Accounting and Finance, 101-114. https://doi.org/10.33146/2307-9878-2021-1(91)-101-114

Machuca-Contreras, F., Canova-Barrios, C., y Castro, M. (2023). Una aproximación a los conceptos de innovación radical, incremental y disruptiva en las organizaciones. Región Científica, 2(1), 202324. https://doi.org/10.58763/rc202324

Manning, M., Wong, G., y Jevtovic, N. (2020). Investigating the relationships between FATF recommendation compliance, regulatory affiliations and the Basel Anti-Money Laundering Index. Security Journal, 34, 566 - 588. https://doi.org/10.1057/s41284-020-00249-z

Mogrovejo, J., Herrera, S., y Maldonado, L. (2019). Estrategias para impulsar el agroturismo rural en Norte de Santander. Gestión y Desarrollo Libre, 4(7). https://doi.org/10.18041/2539-3669/gestionlibre.7.2019.8138

Mohammadi, S., Naghshbandi, N., y Moridahmadibezdi, Z. (2020). Investigating the impact of audit features on money laundering. Journal of Money Laundering Control, 23, 913-930. https://doi.org/10.1108/jmlc-09-2019-0072

Molina, J. (2019). Concepción de la educación ambiental ante la crisis ecológica. Gestión y Desarrollo Libre, 4(7). https://doi.org/10.18041/2539-3669/gestionlibre.7.2019.8134

Morse, J. (2019). Blacklists, Market Enforcement, and the Global Regime to Combat Terrorist Financing. International Organization, 73, 511 - 545. https://doi.org/10.1017/S002081831900016X

Oliveira, I. (2018). The governance of the financial action task force: an analysis of power and influence throughout the years. Crime, Law and Social Change, 69, 153-172. https://doi.org/10.1007/S10611-017-9749-4

Orozco, E. (2022). Experiencias en torno al emprendimiento femenino. Región Científica, 1(1), 20227. https://doi.org/10.58763/rc20225

Parra, Y., Almanza, C., y Astudillo, D. (2021). Análisis de estrategia en redes sociales para el sector de los restaurantes colombianos en tiempos de crisis por la pandemia covid-19. FACE: Revista De La Facultad De Ciencias Económicas Y Empresariales, 21(2), 84–98. https://doi.org/10.24054/face.v21i2.1106

Peláez, O., Echeverri, L., y Castrillón, E. (2022). La percepción instrumentalizada del inglés para la competitividad: un caso de estudio. Pensamiento Americano, 15(29), 45-57. https://doi.org/10.21803/penamer.15.29.416

Pérez, A., Echerri, D., y García, Y. (2021). Proyecto de vida como categoría de la pedagogía de la Educación Superior: aproximaciones a una teoría fundamentada. Transformación, 17(3), 542-563. 2021. http://scielo.sld.cu/scielo.php?script=sci_arttext&pid=S2077-29552021000300542&lng=es&tlng=es

Priego, R., Martínez, G. Rodríguez, M. (2021). La publicidad digital y el desafío de la saturación publicitaria para el empresario. FACE: Revista De La Facultad De Ciencias Económicas Y Empresariales, 21(2), 46-51. https://doi.org/10.24054/01204211.v2.n2.2021.4651

Ricardo, L. (2022). Dimensiones de emprendimiento: Relación educativa. El caso del programa cumbre. Región Científica, 1(1), 202210. https://doi.org/10.58763/rc202210

Romaniuk, P., y Keatinge, T. (2018). Protecting charities from terrorists … and counterterrorists: FATF and the global effort to prevent terrorist financing through the non-profit sector. Crime, Law and Social Change, 69, 265-282. https://doi.org/10.1007/S10611-017-9755-6

Roman-Acosta, D., Caira-Tovar, N., Rodríguez-Torres, E., y Pérez, A. (2023). Effective leadership and communication strategies in disadvantaged contexts in the digital age. Salud, Ciencia y Tecnología - Serie de Conferencias, 2, 532. https://doi.org/10.56294/sctconf2023532

Ruan, J., Yan, Z., Dong, B., Zheng, Q., y Qian, B. (2019). Identifying suspicious groups of affiliated-transaction-based tax evasion in big data. Information Sciences, 477, 508-532. https://doi.org/10.1016/j.ins.2018.11.008

Sánchez, V., Gómez, C., y Alape, R. (2023). Dynamics of institutional rural social networks and their contribution to social capital in a collective of theobroma cacao l. producers. FACE: Revista De La Facultad De Ciencias Económicas Y Empresariales, 23(1), 195–210. https://doi.org/10.24054/face.v23i1.2475

Savona, E., y Riccardi, M. (2019). Assessing the risk of money laundering: research challenges and implications for practitioners. European Journal on Criminal Policy and Research, 25, 1-4. https://doi.org/10.1007/S10610-019-09409-3

Singh, K., y Best, P. (2019). Anti-Money Laundering: Using data visualization to identify suspicious activity. International Journal of Accounting Information Systems, 34. https://doi.org/10.1016/J.ACCINF.2019.06.001

Sittlington, S., y Harvey, J. (2018). Prevention of money laundering and the role of asset recovery. Crime, Law and Social Change, 70, 421-441. https://doi.org/10.1007/S10611-018-9773-Z

Smieliauskas, W., Bewley, K., Gronewold, U., y Menzefricke, U. (2018). Misleading Forecasts in Accounting Estimates: A Form of Ethical Blindness in Accounting Standards? Journal of Business Ethics, 152, 437-457. https://doi.org/10.1007/S10551-016-3289-1

Verwey, I., y Asare, S. (2021). The Joint Effect of Ethical Idealism and Trait Skepticism on Auditors’ Fraud Detection. Journal of Business Ethics, 176, 381-395. https://doi.org/10.1007/S10551-020-04718-8

Yao, J., Pan, Y., Yang, S., Chen, Y., y Li, Y. (2019). Detecting Fraudulent Financial Statements for the Sustainable Development of the Socio-Economy in China: A Multi-Analytic Approach. Sustainability, 11(6), 1579. https://doi.org/10.3390/SU11061579