The Impact of Gray-Listing on Capital Flows: An Analysis Using Machine Learning

Download or read book The Impact of Gray-Listing on Capital Flows: An Analysis Using Machine Learning written by Mizuho Kida and published by International Monetary Fund. This book was released on 2021-05-27 with total page 37 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 policy makers, investors, and the Fund. This paper estimates the magnitude of the effect using an inferential machine learning technique. It finds that gray-listing results in a large and statistically significant reduction in capital inflows.