Zhytar, Maksym (2025) Determinants of anti-money laundering system’s effectiveness in ukraine: insights from factorial and regression analysis Public and Municipal Finance, 2 (14). pp. 146-170. ISSN 2222-1867
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Krawczyk_Zhanseitova_Zakharkin_Zhytar_Dorsenko_Vovk_Vasylieva_PMF_14_2_2025.pdf - Published Version Download (853kB) |
Abstract
Th e eff ectiveness of anti-money laundering systems is vital for national economic resilience, especially in transitional economies facing wartime challenges, such as Ukraine. Th is study aims to identify key managerial determinants of the eff ectiveness of Ukraine’s anti-money laundering and counter-terrorist fi nancing (AML/CFT) sys - tem and to develop evidence-based recommendations for improving its performance. Based on data from Ukrainian national institutions for the period 2011–2023, the study employs principal component analysis and multiple linear regression to evalu- ate 44 statistical indicators related to institutional workload, procedural effi ciency, an d inter-agency coordination. Th e fi ndings reveal that a small set of indicators, includ - ing the volume of suspicious transaction reports from non-banking institutions, the number of dossiers compiled, and the backlog of unresolved judicial cases, explain over 70% of the system’s output variance. Th e fi nal model exhibits high explanatory power (R² = 0.963), underscoring the importance of prioritizing high-impact opera- tional metrics. Th e study concludes that targeted procedural reforms and enhanced coordination between institutions can signifi cantly strengthen AML/CFT outcomes in fragile and reforming contexts.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | AML/CFT; financial monitoring; Ukraine; efficiency; regression analysis; factor analysis |
| Subjects: | Статті у базах даних > Scopus > У виданнях Q2 Scopus |
| Divisions: | Факультет економіки та управління > Кафедра фінансів |
| Depositing User: | Професор Максим Олегович Житар |
| Date Deposited: | 27 Oct 2025 11:06 |
| Last Modified: | 27 Oct 2025 11:06 |
| URI: | https://elibrary.kubg.edu.ua/id/eprint/53557 |
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