| Abstract [eng] |
SUMMARY 94 pages, 29 tables, 2 pictures, 64 references. The aim of the work is to identify anti-money laundering measures and their application in the financial sector. The objectives of the work are: • To analyze the concept of money laundering, its economic, political, and social impact, and to discuss existing prevention measures based on scientific literature; • To develop a quantitative empirical research methodology using panel data regression analysis techniques; • To conduct an empirical study analyzing the effectiveness of anti-money laundering (AML) measures on the stability of the banking sector in the Baltic States; • To provide conclusions and recommendations for improving the application of anti-money laundering measures in the banking sector of the Baltic States based on the study results. A quantitative research approach was employed in this study, applying panel data regression analysis methods. The third chapter of the thesis examines the impact of anti-money laundering measures on banking sector stability in the Baltic States. The research is based on three main hypotheses. The results of the empirical analysis indicate that more effective anti-money laundering measures are associated with higher levels of banking sector stability in the Baltic States. Furthermore, the findings reveal that the impact of AML measures varies depending on the macroeconomic environment, suggesting that their effectiveness is not uniform across different phases of the economic cycle. Additionally, the analysis demonstrates that the impact of AML measures on banking sector stability strengthens under more favorable financial conditions within the banking sector. A comparative analysis of the Baltic States shows that the magnitude of the impact differs across countries due to heterogeneous economic and financial conditions. The results of this thesis may be published in the future. |
