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Scientific article

MONEY LAUNDERING USING CRYPTOCURRENCIES

By
Marijana Joksimović Orcid logo ,
Marijana Joksimović

Alfa BK University, Faculty of Finance, Banking and Audit , Belgrade , Serbia

Marija Paunović Orcid logo ,
Marija Paunović

University of Kragujevac, Faculty of Hotel Management and Tourism , Kragujevac , Serbia

Stevica Dedjanski Orcid logo
Stevica Dedjanski

Faculty of Social Sciences, University of Business Academy in Novi Sad , Belgrade , Serbia

Abstract

This paper examines the growing issue of money laundering through cryptocurrencies on a global scale. Criminals use digital assets to launder illicitly obtained funds, converting them into cryptocurrencies to obscure the origins of the money. Unlike traditional financial systems, decentralized finance (DeFi) platforms lack mechanisms to freeze or block funds from suspicious sources, presenting a unique challenge for law enforcement. However, the blockchain underlying cryptocurrencies allows for the tracking of transactions across DeFi protocols, making it possible to trace asset movement, albeit with difficulty due to complex methods criminals use to mix and transfer funds across multiple wallets. The study employs official data from financial institutions between 2019 and 2023, using time-series analysis to forecast money laundering trends under both optimistic and pessimistic scenarios. The paper concludes by highlighting the ongoing efforts by regulatory bodies to strengthen measures aimed at preventing cryptocurrency-related money laundering.

In order to draw adequate conclusions, the data used in the paper are official data from financial institutions relevant to money laundering. The time series used in the paper includes data related to the period from 2016 to 2023 and the forecast model based on optimistic and pessimistic scenarios is constructed.

References

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Bjelobaba G, Paunovic M, Savic A, Stefanovic H, Doganjic J, Miladinovic Bogavac Z. Blockchain Technologies and Digitalization in Function of Student Work Evaluation. Sustainability. 14(9):5333.
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Chainalysis. 2023.
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Chainalysis. 2024.
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F.A.T.F. Money Laundering and Terrorist Financing Red Flag Indicators Associated with Virtual Assets. 2020;
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FBI’S FB of I. 2023.

Citation

Funding Statement

This paper is part of the results of research on project U 01/2023 Green economy in the era of digitization, Faculty of Finance, Banking and Auditing, Alfa BK University. This research is supported by the Ministry of Science, Technological Development and Innovation of the Republic of Serbia by the Decision on the transfer of funds to finance the scientific research work of teaching staff at faculties in 2024, No. 451-03-65/2024-03 of 26 January 2024.

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Citations

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2

Crossref Logo

Francesco Ernesto Alessi Longa

(2025)

Cryptocurrency and Money Laundering

American Journal of Industrial and Business Management, 15(02)

10.4236/ajibm.2025.152017

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Raffaella Barone, Friedrich Schneider

(2026)

Beyond the veil: unpacking money laundering through economic models, emerging technologies, and government capture

Economics of Governance, 27(1)

10.1007/s10101-025-00343-1

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