01816nam a2200265   4500001000700000090001100007100004100018101000800059200016500067210005600232215002000288225002200308300004800330330078500378606003801163606003901201606001701240606003801257606004001295700002801335701002701363701003001390955001101420995011901431394324  a394324  a20170104d2016       y0pory50      ba  aeng  aThe impact of anti-money laundering regulation on payment flowsbRecurso eletrónicoeevidence from SWIFT datafMatthew Collin, Samantha Cook, Kimmo Soramäki  aWashington, DCcCenter for Global Developmentd2016  a1 CD-ROMd12 cm  aWorking Paperv45  aFicheiro de 1,84 MB em formato PDF (52 p.).  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. .  aTRANSACÇÃO FINANCEIRA9343169  aINSTITUIÇÃO FINANCEIRA9100339  aGAFI9267852  aBRANQUEAMENTO DE CAPITAIS9243734  aFINANCIAMENTO DO TERRORISMO9304518  aCOLLINbMatthew9358330  aCOOKbSamantha9358331  aSORAMÄKIbKimmo9358332  xOferta  104PJCD_282_00000000000000052022-06-066PJCD2829426935aPJcPJfPJ1CD282_118kPJCD282n2022-06-06o0rMOxOferta