How to assess country risk : the vulnerability exercise approach using machine learning
Year of publication: |
[2021]
|
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Other Persons: | Panth, Sanjaya (ed.) |
Publisher: |
Washington, DC, U.S.A. : International Monetary Fund, Publication Services |
Subject: | Risk Assessment | Supervised Machine Learning | Prediction | Sudden Stop | Exchange Market Pressure | Fiscal Crisis | Debt | Financial Crisis | Economic Crisis | Economic Growth | Finanzkrise | Financial crisis | Länderrisiko | Country risk | Wirtschaftskrise | Economic crisis | Künstliche Intelligenz | Artificial intelligence | Welt | World | Währungskrise | Currency crisis | Wirtschaftswachstum | Economic growth | Öffentliche Schulden | Public debt |
Extent: | 1 Online-Ressource (circa 66 Seiten) Illustrationen |
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Series: | Technical notes and manuals / International Monetary Fund. - Washington, DC : IMF, ISSN 2522-7882, ZDB-ID 2571783-2. - Vol. TNM/21, 03 |
Type of publication: | Book / Working Paper |
Type of publication (narrower categories): | Graue Literatur ; Non-commercial literature |
Language: | English |
ISBN: | 978-1-5135-7421-9 |
Other identifiers: | 10.5089/9781513574219.005 [DOI] |
Source: | ECONIS - Online Catalogue of the ZBW |
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