000			01802nam a2200289 4500
001			394324
090			_a394324
100			_a20170104d2016 y0pory50 ba
101			_aeng
200			_aThe impact of anti-money laundering regulation on payment flows _bRecurso eletrónico _eevidence from SWIFT data _fMatthew Collin, Samantha Cook, Kimmo Soramäki
210			_aWashington, DC _cCenter for Global Development _d2016
215			_a1 CD-ROM _d12 cm
225			_aWorking Paper _v45
300			_aFicheiro de 1,84 MB em formato PDF (52 p.).
330			_a1. Introduction. 1.1 Overview. 2. Framework. 2.1 How can greater regulatory risk lead to de-risking?. 2.2 How can de-risking lead to lower payment flow volunes?. 2.3 Hypotheses. 3. Data sources and description. 3.1 SWIFT data on cross-border payments. 3.2 Do SWIFT payments measure anything?. 3.3 FATF greylisting. 3.4 Other treatment measures. 4. Specification issues and identification. 4.1 Controls, heterogeneity across time and inference. 5. Results. 5.1 Does FATF greylisting reduce the aggregate number of payment flows?. 5.2 Does greylisting change the direction of payment flows?. 5.3 Does greylisting change the route that payment messages take to or from high-risk countries?. 6. Discussion and conclusion. References. 7. Appendix. 7.1 Extra Graphs. 7.2 Extra Tables. .
606			_aTRANSACÇÃO FINANCEIRA _9343169
606			_aINSTITUIÇÃO FINANCEIRA _9100339
606			_aGAFI _9267852
606			_aBRANQUEAMENTO DE CAPITAIS _9243734
606			_aFINANCIAMENTO DO TERRORISMO _9304518
700			_aCOLLIN _bMatthew _9358330
701			_aCOOK _bSamantha _9358331
701			_aSORAMÄKI _bKimmo _9358332
955			_xOferta