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.

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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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The article deals with the development of the methodology for improving the state policy of the national economy de-shadowing. It generalizes arguments and counterarguments within the framework of scientific discussion on the main instruments for the national economy de-shadowing. It has been established that tax instruments used for the state influence on the shadow economy allowed achieving a complex effect in all spheres of public life. The purpose of the article is to form an innovative methodology for assessing the efficiency of instruments for direct influence on business entities, which will allow adopting the deliberate management decisions by state authorities regarding the national economy de-shadowing. The systematization of literary sources and approaches to solving the problem of the national economy de-shadowing showed the lack of empirical calculation of the efficiency of tax instruments for the state regulation of the economy. The relevance of solving this scientific problem consists in the need to identify both the level of increase in the social contribution tax due to the salary de-shadowing and the implicit effect of increasing indirect taxes and savings. The problem considered in the article was solved by developing a methodological approach to assessing the efficiency of the instruments for the national economy de-shadowing based on the calculation of the probability of a decision on the application of a specific instrument, a posteriori probability of achieving a certain level of efficiency and fuzzy logic methods. The efficiency of public administration of the national economy de-shadowing was determined by the example of reducing the level of tax burden on the labour compensation fund in Ukraine. The study empirically confirms and theoretically proves the need for a systematic assessment of the level of the national economy de-shadowing, depending on the type of state influence instruments and their quantitative characteristics. The article proposes theoretical and methodological principles for the formation of the national economy de-shadowing strategy, depending on the efficiency of the state tax policy instruments. The results of the study may be used by state executive agencies in the field of tax regulation of the national economy.

This article considers the peculiarities of scientific and methodical approach construction to the evaluation of the State Financial Monitoring Service effectiveness as a component of the national system for Prevention and Counteraction to Legalization (Laundering) of the Proceeds of Crime or Terrorism Financing. The mechanism of functioning of the State Financial Monitoring Service of Ukraine is treated as a queueing system. Namely, denials of service requests, which provides for a possibility to form a queue with unlimited waiting and no limit on the queue length. Practical approbation was obtained with respect to the characteristics of the input and output service flows, indicators for assessing the stability and efficiency of the state regulation system and supervision under investigation.