INSTITUTIONAL FACTORS OF THE EFFECTIVENESS OF THE FINANCIAL MONITORING SYSTEM

Keywords: transaction costs, formal rules, bureaucratic procedures, financial monitoring

Abstract

This article examines the problem of identifying factors that threaten the efficiency of the financial monitoring system and determining measures to improve its effectiveness. It is shown that the financial monitoring system is an important tool, the success of overcoming many dangerous socio-economic phenomena depends on its effectiveness and efficiency. This tool is particularly important because it can be used even in cases where the possibilities of using other tools are significantly limited. The main factor threatening the effectiveness and efficiency of the financial monitoring system is the danger of an increase in the level of transaction costs of bureaucratic financial monitoring procedures for persons not involved in the process of laundering dirty money. It has been proven that the effectiveness of the financial monitoring system is determined by the effectiveness of the formal rules of financial monitoring and the formal rules of financial investigations. The main tasks of the formal rules of financial monitoring are to ensure the detection of the largest possible share of financial transactions related to money laundering, while at the same time ensuring a low level of erroneous determinations of financial transactions as dubious, which in turn requires the definition of clear criteria for the dubiousness of financial transactions by appropriate formal rules and ensuring that as many financial transactions as possible are covered by inspections. The main tasks of the formal rules of financial investigations are to ensure a high probability of proving the fact of laundering dirty money and at the same time to ensure an easy appeal procedure in the event of an erroneous determination of a financial transaction as dubious. Implementation of these tasks requires the formal rules of financial investigations to create appropriate conditions and a system of incentives for the relevant officials to perform their official duties. It is proposed to increase the efficiency of the formal rules of financial monitoring and formal rules of financial investigations to introduce widespread use of Big Data and AI algorithms in the financial monitoring system, which will allow to largely automate the process of checks and detection of questionable transactions and trace a much longer chain of financial transactions and collect more evidence for proving the fact of laundering dirty money.

References

. Dell’Anno R., Maddah M. Money laundering, corruption and socioeconomic development in Iran: an analysis by structural equation modeling. International Review of Economics. 2023. Vol. 70. №3. P. 395–417. DOI: https://doi.org/10.1007/s12232-023-00424-9

D’Avino C. Money laundering and AML regulatory and judicial system regimes: investigation of FinCEN files. European Journal of Law and Economics. 2023. Vol. 55. №2. P. 195–223. DOI: https://doi.org/10.1007/s10657-022-09756-3

Rajagopalan S. Demonetization in India: Superfluous discovery and money laundering. Review of Austrian Economics. 2020. Vol. 33. №1-2. P. 201–217. DOI: https://doi.org/10.1007/s11138-019-00465-w

Zhang Y., Trubey P. Machine Learning and Sampling Scheme: An Empirical Study of Money Laundering Detection. Computational Economics. 2019. Vol. 54. №3. P. 1043–1063. DOI: https://doi.org/10.1007/s10614-018-9864-z

Ferwerda J., Kleemans E.R. Estimating Money Laundering Risks: An Application to Business Sectors in the Netherlands. European Journal on Criminal Policy and Research. 2019. Vol. 25. №1. P. 45–62. DOI: https://doi.org/10.1007/s10610-018-9391-4

Savona E.U., Riccardi M. Assessing the risk of money laundering: research challenges and implications for practitioners. European Journal on Criminal Policy and Research. 2019. Vol. 25. №1. P. 1–4. DOI: https://doi.org/10.1007/s10610-019-09409-3

Dumbacher J. The fight against money laundering. Intereconomics. 1995. Vol. 30. №4. P. 177–186. DOI: https://doi.org/10.1007/BF02928089

Сержанов В. В., Дяченко Т. А., Абрамов Ф. В. Корупція, неефективні інститути та європейська інтеграція. Науковий вісник Ужгородського університету. 2022. Випуск 44. С. 90–95. DOI:https://doi.org/10.32782/2413-9971/2022-44-14

Абрамов Ф. В. Ефективність репресивних антикорупційних заходів в умовах високого рівня корумпованості. Бізнес Інформ. 2017. № 12. С. 8–12.

Абрамов Ф. В. Суспільні настрої як фактор динаміки антикорупційних формальних правил. Бізнес Інформ. 2018. № 12. С. 26–31.

Сержанов В. В., Максименко Я.А., Абрамов Ф. В. Ефективність формальних правил фінансового моніторингу. Держава та регіони. 2022. № 3 (126). С. 10–15.

Волоснікова Н.М., Сержанов В.В., Абрамов Ф.В. Попередження корупції в системі фінансового моніторингу: інституційний підхід. Цифрова економіка та економічна безпека. 2023. Випуск 4(04). С. 3¬8. DOI: https://doi.org/10.32782/dees.4-1

Волоснікова Н.М., Максименко Я.А., Сержанов В.В., Абрамов Ф.В. Напів формальні правила, як чинник динаміки ефективності формальних правил фінансового моніторингу. Бізнес Інформ. 2023. № 1. С. 12¬17.

Абрамов Ф.В. Напівформальними правила. Вісник Національного технічного університету «Харківський політехнічний інститут» (економічні науки). 2016. № 27. С. 103–106.

Абрамов Ф. В. Напівформальні правила як чинник динаміки ефективності формальних правил. Цифрова економіка та економічна безпека. 2022. Випуск 3(03). С. 26–30.

Dell’Anno R., Maddah M. (2023) Money laundering, corruption and socioeconomic development in Iran: an analysis by structural equation modeling. International Review of Economics, Vol. 70, no 3, pp. 395–417. DOI: https://doi.org/10.1007/s12232-023-00424-9

D’Avino C. (2023) Money laundering and AML regulatory and judicial system regimes: investigation of FinCEN files. European Journal of Law and Economics, Vol. 55, no 2, pp. 195–223. DOI: https://doi.org/10.1007/s10657-022-09756-3

Rajagopalan S. (2020) Demonetization in India: Superfluous discovery and money laundering. Review of Austrian Economics, Vol. 33, no 1-2, pp. 201–217. DOI: https://doi.org/10.1007/s11138-019-00465-w

Zhang Y., Trubey P. (2019) Machine Learning and Sampling Scheme: An Empirical Study of Money Laundering Detection. Computational Economics, Vol. 54, no 3, pp. 1043–1063. DOI: https://doi.org/10.1007/s10614-018-9864-z

Ferwerda J., Kleemans E.R. (2019) Estimating Money Laundering Risks: An Application to Business Sectors in the Netherlands. European Journal on Criminal Policy and Research, Vol. 25, no 1, pp. 45–62. DOI: https://doi.org/10.1007/s10610-018-9391-4

Savona E.U., Riccardi M. (2019) Assessing the risk of money laundering: research challenges and implications for practitioners. European Journal on Criminal Policy and Research, Vol. 25, no 1, pp. 1–4. DOI: https://doi.org/10.1007/s10610-019-09409-3

Dumbacher J. (1995) The fight against money laundering. Intereconomics, Vol. 30, no 4, pp. 177–186. DOI: https://doi.org/10.1007/BF02928089

Serzhanov V.V., Dyachenko T. A., Abramov F. V. (2022) Koruptsiya, neefektyvni instytuty ta yevropeysʹka intehratsiya [Corruption, inefficient institutions and European integration]. Naukovyy visnyk Uzhhorodsʹkoho universytetu, no 44, pp. 90–95. DOI: https://doi.org/10.32782/2413-9971/2022-44-14

Abramov F. V. (2017) Efektyvnist represyvnykh antykoruptsiinykh zakhodiv v umovakh vysokoho rivnia korumpovanosti [The Efficiency of Repressive Anti-Corruption Measures in Conditions of High-Level Corruption]. Biznes Inform, no. 12, pp. 8–12.

Abramov F. V. (2018) Suspilni nastroi yak faktor dynamiky antykoruptsiinykh formalnykh pravyl [The Public Sentiments as a Factor in the Dynamics of Anti-Corruption Formal Rules]. Biznes Inform, no. 12, pp. 26–31.

Serzhanov V. V., Maksymenko YA.A., Abramov F. V. (2022) Efektyvnistʹ formalʹnykh pravyl finansovoho monitorynhu [Effectiveness of formal rules of financial monitoring]. Derzhava ta rehiony, no 3 (126), pp. 10–15.

Volosnikova N.M., Serzhanov V.V., Abramov F.V. (2023) Poperedzhennya koruptsiyi v systemi finansovoho monitorynhu: instytutsiynyy pidkhid [Corruption prevention in the financial monitoring system: an institutional approach]. Tsyfrova ekonomika ta ekonomichna bezpeka, no 4(04), pp. 3¬8. DOI: https://doi.org/10.32782/dees.4-1

Volosnikova N.M., Maksymenko YA.A., Serzhanov V.V., Abramov F.V. (2023) Napiv formalʹni pravyla, yak chynnyk dynamiky efektyvnosti formalʹnykh pravyl finansovoho monitorynhu [Semi-formal rules as a factor in the dynamics of the effectiveness of formal financial monitoring rules]. Biznes Inform, no 1, pp. 12–17.

Abramov F.V. (2016) Napivformalʹnymy pravyla. [Semi-formal rules.] Visnyk Natsionalʹnoho tekhnichnoho universytetu «Kharkivsʹkyy politekhnichnyy instytut» (ekonomichni nauky), no 27, pp. 103–106.

Abramov F. V. (2022) Napivformalʹni pravyla yak chynnyk dynamiky efektyvnosti formalʹnykh pravyl [Semi-formal rules as a factor in the dynamics of the effectiveness of formal rules]. Tsyfrova ekonomika ta ekonomichna bezpeka, no 3(03), pp. 26¬30.

Article views: 35
PDF Downloads: 36
Published
2023-07-31
How to Cite
Sukholov, E. (2023). INSTITUTIONAL FACTORS OF THE EFFECTIVENESS OF THE FINANCIAL MONITORING SYSTEM. Digital Есопоmу and Economic Security, (7 (07), 125-130. https://doi.org/10.32782/dees.7-20