The Impact of Gray-Listing on Capital Flows : An Analysis Using Machine Learning /
The Financial Action Task Force's gray list publicly identifies countries with strategic deficiencies in their AML/CFT regimes (i.e., in their policies to prevent money laundering and the financing of terrorism). How much gray-listing affects a country's capital flows is of interest to pol...
| Hovedforfatter: | Kida, Mizuho |
|---|---|
| Andre forfattere: | Paetzold, Simon |
| Format: | Tidsskrift |
| Sprog: | English |
| Udgivet: |
Washington, D.C. :
International Monetary Fund,
2021.
|
| Serier: | IMF Working Papers; Working Paper ;
No. 2021/153 |
| Fag: | |
| Online adgang: | Full text available on IMF |
Lignende værker
-
The Poverty and Distributional Impacts of Carbon Pricing : Channels and Policy Implications /
af: Shang, Baoping
Udgivet: (2021) -
The Long-Run Impact of Sovereign Yields on Corporate Yields in Emerging Markets /
af: Li, Delong
Udgivet: (2021) -
Predicting Fiscal Crises : A Machine Learning Approach /
af: Hellwig, Klaus-Peter
Udgivet: (2021) -
Enhancing Resilience to Climate Change in the Maldives /
af: Melina, Giovanni
Udgivet: (2021) -
The Macroeconomic Impact of Social Unrest /
af: Hadzi-Vaskov, Metodij
Udgivet: (2021)