Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/247998 
Year of Publication: 
2019
Citation: 
[Journal:] Verslas: Teorija ir praktika / Business: Theory and Practice [ISSN:] 1822-4202 [Volume:] 20 [Publisher:] Vilnius Gediminas Technical University [Place:] Vilnius [Year:] 2019 [Pages:] 492-508
Publisher: 
Vilnius Gediminas Technical University, Vilnius
Abstract: 
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.
Subjects: 
anti money laundering
money laundering risk
time series analysis
trend analysis
cyclic component
Fourier analysis
volatility
persistence
JEL: 
G32
C22
O17
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

Files in This Item:
File
Size





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.