The Bulletin of the Institute of Economics of the Russian Academy of Sciences № 5/2025. Finance.

Nikolai G. Sinyavsky

Dr. Sci. (Econ.), Associate Professor, Leading Researcher, Institute of Economic Policy and Economic Security Problems, Faculty of Economics and Business, Financial University under the Government of the Russian Federation, Moscow, Russia

ORCID: 0000-0003-1034-6489

 

SYSTEMIC RISK FACTORS IN THE IMPLEMENTATION OF DIGITAL TECHNOLOGIES TO ANTI-MONEY LAUNDERING: IDENTIFICATION, RANKING AND REGULATORY MEASURES

Размер файла167-187  Размер файла  335.54 KB Размер файла Full text

Digital products have the potential to make anti-money laundering and counter-terrorist financing operations less costly, more efficient and significantly faster, ensure high-quality compliance with the Financial Action Task Force Standards and improve cross-border cooperation. This enables financial institutions to provide services to a greater number of economic entities. Therefore, the global anti-money laundering system is widely introducing innovative digital technologies to provide prompt and reliable information about economic entities and their operations by significantly increasing the volume of processed data. However, their use is associated with regulatory or operational systemic risks. The purpose of the study is to identify risk factors and measures to regulate them for systemic risks, as well as to systematize and rank them by importance. Such ordering provides grounds for the appropriate distribution of resources used to influence risk factors. The level of risks, risk factors and measures for their regulation are assessed on the basis of a risk-oriented approach using surveys of authoritative organizations, research by specialists and regulatory documents.

Keywords: anti-money laundering, Financial Action Task Force on Money Laundering (FATF), digitalization, risks.

JEL: O33, O38, L73

EDN: LTKMAC

DOI: https://doi.org/10.52180/2073-6487_2025_5_167_187

References

  1. Kozyrev A.N. The Data Economy and the Digital Economy // Digital Economy. 2024. Vol. 2. No. 28. Pp. 5–14. (In Russ.). DOI: 10.33276/DE-2024-02-01. EDN: BFNYBQ.
  2. Tapscott D. The Digital Economy: Promise and Peril In The Age of Networked Intelligence: Monograph. New York, McGrawHill, 1995.
  3. Tapscott D. The Digital Economy Anniversary Edition: Rethinking Promise and Peril In the Age of Networked Intelligence: Monograph. New York, McGraw-Hill, 2014.
  4. Coase R. The Nature of the Firm // Econometrica. 1937. Vol. 4. No. 16. Pp. 386–405. DOI: 10.1111/j.1468-0335.1937.tb00002.x.
  5. Tapscott D., Agnew D. Governance in the Digital Economy // Finance & Development. 1999. December. Pp. 34–37. https://www.imf.org/external/pubs/ft/fandd/1999/12/pdf/tapscott.pdf (accessed: 31.08.2025).
  6. Abasov I.R., Galimkhanov A.B., Yusupov R.G. On the monitoring and supervision of the state authorities of the Russian Federation in the field of education in the context of the digital technologies development // The Rule-of-Law State: Theory and Practice. 2023. No. 4. Pp. 62–70. (In Russ.). DOI: 10.33184/pravgos-2023.4.7. EDN: SZURHB.

Manuscript submission date: 19.05.2025

Manuscript acceptance date: 13.10.2025

 

For citation:

Sinyavsky N.G. Systemic risk factors in the implementation of digital technologies to anti-money laundering: identification, ranking and regulatory measures // Vestnik Instituta Ekonomiki Rossiyskoy Akademii Nauk. 2025. № 5. Pp. 167-187. (In Russ.). https://doi.org/10.52180/2073-6487_2025_5_167_187 EDN: LTKMAC

  Creative Commons 4.0

© Vestnik Instituta Ekonomiki Rossiyskoy Akademii Nauk, 2021 - 2025

32, Nakhimovskiy Prospekt, Moscow, Russia 117218, Institute of Economics of the Russian Academy of Sciences.

Phone.: +7 (499) 724-13-91, E-mail: vestnik-ieran@inecon.ru