The Impact of Gray-Listing on Capital Flows: An Analysis Using Machine Learning
May 27, 2021
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Disclaimer: 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.
Summary
Subject: Anti-money laundering and combating the financing of terrorism (AML/CFT), Balance of payments, Capital flows, Capital inflows, Crime, Foreign direct investment, Machine learning, Technology
Keywords: AML/CFT, Analysis using machine learning, Anti-money laundering and combating the financing of terrorism (AML/CFT), Capital flows, Capital flows, Capital inflows, Coefficient estimate, Emerging market economies, Foreign direct investment, Global, Gray list, Gray-listing affect, Inferential machine learning technique, Machine learning, Machine learning
Publication Details
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Pages:
37
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Volume:
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DOI:
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Issue:
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Series:
Working Paper No. 2021/153
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Stock No:
WPIEA2021153
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ISBN:
9781513582436
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ISSN:
1018-5941
