The article deals with the prototyping of an information system for intrabank monitoring of transactions related to money laundering. It has been proven that the automation of financial monitoring system would increase the bank’s efficiency due to examining all bank transactions without exception, leveling the human factor, maximizing the speed of identifying suspicious transactions, which will provide the bank management with the possibility to reduce reputational risk and minimize losses related to paying penalties imposed by regulatory agencies. It has been established that the prototype of the information system for monitoring transactions related to money laundering through banks should consist of a model of the business process monitoring in an automated system environment, a DFD model of automated monitoring of banking transactions, a structural database model, user interface forms and the logic of validation business rules. The resulting methodological and practical developments are a universal component of the financial monitoring system of any bank since they have the opportunity to transform and adapt to new standards for reporting entities or differentiation of the business processes of a bank.
The current trends of globalization, the integration of banks and insurance companies worldwide into a single financial conglomerate, as well as the emergence of new electronic payment instruments, force governments of different countries to search for new approaches to analyse the risks of involvement of financial institutions in money laundering. The research explains how to use the data mining and bifurcation analysis based on the limited information on general indices of a country's characteristics to evaluate the state's resilience to the involvement of its financial institutions in money laundering. The purpose of the article is to develop a scientific and methodological approach to assessing the risk of using financial institutions in money laundering. It is based on the study of the dynamic stability of this risk on the basis of bifurcation theory. Empirical calculations show that for a group of countries, to which Ukraine belongs, the dynamic system is in a non-equilibrium state and is described as a phase portrait "saddle". Therefore, the risk of using financial institutions for money laundering is high in Ukraine, although it is under certain control by the state. However, the calculations show that under conditions of the partial reform of the anti-money laundering system in Ukraine, the system will lose its conditional stability and the corresponding risk will increase even more
Money laundering has become a global threat to the international stability and security, leading both to economic
and social upheavals, and to an increase in terrorist threats. Therefore, an objective necessity arises for a more detailed study of
the money laundering within the scope of its developmental patterns and time-dependent behaviour. The study mission is the
development of a theoretical framework and methodological support for modelling the cyclic component of the money laundering risk. The correlation and regression are used for isolating the cyclic component. In turn, the Fourier harmonic analysis
allows specifying the cyclic component. Additionally, we carried out a decomposition of time series, analysis of its volatility and
persistence using the Hurst exponent. We determined the peaks, downturns and duration of the money laundering cycles in
the developed economies and economies in transition, and established the possibility of predicting this process in the medium
term. We proved the internationalization of the money laundering and the similarity of behaviour of trends that characterize
it both for developed economies among themselves and between groups of countries. The further scientific research is needed
within the framework of the imposition of trends in the development of the money laundering processes of some countries on
others and the formation of international medium-term anti-fraud strategies.
The article defines the role of the tax system, which it plays to gain competitive advantages of the country in social and economic spheres. The system of relevant taxes, characterizing the level of competition of the national tax system, is identified. Methodological basis for determining tax countries competing with Ukraine based on the cluster analysis is improved. By implementing the algorithm for establishment the European countries -tax competitors of Ukraine, firstly, potential tax competitors of Ukraine were identified, secondly, real tax competitors of Ukraine in a cluster with a similar structure of the tax system in terms of socioeconomic development were set.
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