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.
IMF Working Paper
The Impact of Gray-Listing on Capital Flows: An AnalysisUsingMachineLearning
Prepared by Mizuho Kida and Simon Paetzold 1
Authorized for distribution by Olaf Unteroberdoerster
The IMF Working Papers describe research in progress by the author(s) and are published to elicit comments and to encourage debate . The views expressed in IMF Working Papers are those of the author(s) and do not necessarily represent the views of the IMF, its Executive Board, or IMF management.