About the Possibility of Controlling the Turnover of Digital Financial Assets

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Abstract

The authors set the goal of their research to form the reader's opinion about the need to use modern technologies for regulating and supervising the turnover of digital financial assets. To achieve this , the following tasks were solved: 1. The article provides an overview of the events organized by Rosfinmonitoring, which determine the control over the turnover of digital financial assets. 2. The main elements of digital financial assets, the properties of their turnover and measures to counteract the laundering of proceeds from crime are analyzed. 2. The analysis of classifications of blockchain platforms is given. The study is presented in the form of an analytical review. The conducted research allowed us to draw conclusions: 1. the thesis is true about the unconditional fulfillment of the requirement to disclose information about the buyer of cryptocurrencies, regardless of the technologies used; 2. the emergence of new risks in the field of money laundering obtained by criminal means becomes more intense with the increase in the number of technologies being introduced in the sphere of digital assets turnover, despite the formal signs of their compliance with the regulatory rules established at some initial stage; 3. the activity of cyber fraudsters, which is increasing against the background of the emergence of new technologies, requires the use and development of new modern technologies of regulation and supervision.

About the authors

Vladimir I. Soloviev

Financial University under the Government of the Russian Federation

Email: vsoloviev@fa.ru
Dr. Sci. (Econ.), Professor, Director of the Engineering Center of the Department of Data Analysis and Machine Learning Moscow, Russian Federation

Vladislav K. Kontorovich

Financial University under the Government of the Russian Federation

Email: vkkontorovich@fa.ru
Cand. Sci. (Econ.), Leading Researcher, Scientific Leader of the Department of Data Analysis and Machine Learning Moscow, Russian Federation

Vadim G. Feklin

Financial University under the Government of the Russian Federation

Email: vfeklin@fa.ru
Cand. Sci. (Phys.-Math.), Associate Professor, First Deputy Head of the Department of Data Analysis and Machine Learning Moscow, Russian Federation

References

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