Prototyping of information system for monitoring banking transactions related to money laundering

Леонов, С.В.; Yarovenko, Hanna; Boyko, Anton; Доценко, Тетяна

doi:10.1051/shsconf/20196504013

Cited by 36 publications

(29 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Another important step in the formalization of the trust cycle is the study of existing mechanisms for determining the impact of particular economic categories on the development process of others. Thus, interdependence of human capital and remuneration is analyzed in the paper of Bilan et al (2017), Petrushenko et al (2017), impact of market interest rates on commercial banks' business is stressed in the work of Rahman et al (2016), and the relationship between money laundering and efficiency of monitoring of banking transactions is described by such scientists as Leonov et al (2019), Kostyuchenko et al (2018).…”

Section: Methodsmentioning

confidence: 99%

Trust cycle of the finance sector and its determinants: The case of Ukraine

Brychko¹,

Polách²,

Kuzmenko³

et al. 2019

Journal of International Studies

View full text Add to dashboard Cite

The paper presents the results of exploring the characteristics of trust cycle in the financial sector of the economy in general and across its main components (trust in banking and non-bank financial and credit systems) illustrated by the economy in transition-Ukraine-for the period 1st quarter 2009-1st quarter 2018. Determinants of nonlinear dynamics of public trust in the financial sector of the economy were also identified. For this purpose, an algorithm has been developed that enables studying the cyclical nature of public trust in the financial sector and testing the hypotheses about the determinants of its nonlinear dynamics. To highlight the cyclical component of the time series, harmonic analysis via Fourier transformations was used. In order to analyze public trust in the financial sector and its main components the following indicators were used: absolute volatility, relative volatility (in relation to financial and business cycles), the persistence of actual values and cyclic components, correlation with financial and business cycles. Our main

show abstract

Section: Methodsmentioning

confidence: 99%

Trust cycle of the finance sector and its determinants: The case of Ukraine

Brychko¹,

Polách²,

Kuzmenko³

et al. 2019

Journal of International Studies

View full text Add to dashboard Cite

show abstract

“…The visualization of ML/CFT typologies with the use of graphs is being considered as a result of the study. Leonov et al (2019) engage in the active use of the latest information processing methods, succeeding in the prototyping of information system for monitoring banking transactions.…”

Section: Literature Reviewmentioning

confidence: 99%

Money Laundering Risk in Developing and Transitive Economies: Analysis of Cyclic Component of Time Series

Levchenko

Boyko

Bozhenko

et al. 2019

Business: Theory and Practice

View full text Add to dashboard Cite

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.

show abstract

“…This is due to the fact that persons trying to launder money are able to send them in various parts to other countries through financial institutions of one country in a very short period of time. This fact makes it difficult to identify the final recipient of laundered funds (Dmytrov & Medvid, 2017;Khaled & Alasmari, 2012;Leonov et al, 2019). Moreover, the development of information technology in finance creates even greater opportunities for the development of methods and instruments for money laundering (e.g.…”

Section: Introductionmentioning

confidence: 99%

Data mining and bifurcation analysis of the risk of money laundering with the involvement of financial institutions

Kuzmenko

Šuleř

Lyeonov

et al. 2020

Journal of International Studies

Self Cite

View full text Add to dashboard Cite

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

show abstract

Prototyping of information system for monitoring banking transactions related to money laundering

Cited by 36 publications

References 12 publications

Trust cycle of the finance sector and its determinants: The case of Ukraine

Trust cycle of the finance sector and its determinants: The case of Ukraine

Money Laundering Risk in Developing and Transitive Economies: Analysis of Cyclic Component of Time Series

Data mining and bifurcation analysis of the risk of money laundering with the involvement of financial institutions

Contact Info

Product

Resources

About