Search for statistically approved criteria for identifying money laundering risk
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Received November 20, 2020;Accepted December 15, 2020;Published December 17, 2020
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Author(s)Link to ORCID Index: https://orcid.org/0000-0002-6584-8390Link to ORCID Index: https://orcid.org/0000-0003-3798-3816
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DOIhttp://dx.doi.org/10.21511/bbs.15(4).2020.13
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Article InfoVolume 15 2020, Issue #4, pp. 150-163
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Cited by1 articlesJournal title: Scientific Bulletin of Mukachevo State University Series “Economics”Article title: Economic and Mathematical Modelling of the Effectiveness of the National System for Combatting Cyber Fraud and Legalisation of Criminal Proceeds Based on Survival Analysis MethodsDOI: 10.52566/msu-econ.8(1).2021.144-153Volume: 8 / Issue: 1 / First page: 144 / Year: 2021Contributors: Olha V. Kuzmenko, Tetiana V. Dotsenko, Liliia O. Skrynka
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The paper focuses on the theoretical justification and theoretical foundations of using statistical criteria for identifying money laundering risk as a tool to prevent and counteract the legalization of bank clients’ proceeds.
The hypothesis is that the coefficient of variation can be appropriately used as an identifier for money laundering risk. To prove this hypothesis, a special methodology was used: generalization, grouping, statistical analysis of time series, and correlation analysis – to identify and analyze the hidden signs of the customer income legalization in the financial activities of a bank; mathematical statistics and scaling – to determine the quantitative values of risk levels for the use of bank services for legalizing customer income. The analysis of financial activities of 32 Ukrainian banks aimed at identifying money-laundering risks showed that banks in which the National Bank of Ukraine revealed suspicious transactions with money-laundering features (16 operating banks) had much higher coefficients of variation in the volume of cash flows, in cash flows for on-demand accounts of economic entities, in cash flows of on-demand accounts for individuals, compared with banks in which violations of legislation in the field of financial monitoring were revealed (eight banks), and with banks where violations were not found (eight banks). This proves that sudden changes in customer transaction volume can be a sign of money laundering risk.
Acknowledgment
State grant for fundamental scientific research “Risk-oriented approach in countering money laundering, terrorist financing and proliferation of weapons of mass destruction” (state registration number 0118U000058).
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JEL Classification (Paper profile tab)G21, O17
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References46
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Tables6
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Figures0
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