Predicting fiscal crises : a machine learning approach
Year of publication: |
May 2021
|
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Authors: | Hellwig, Klaus-Peter |
Publisher: |
[Washington, D.C.] : International Monetary Fund |
Subject: | Early warning systems | sovereign default | random forest | Frühwarnsystem | Early warning system | Öffentliche Schulden | Public debt | Prognoseverfahren | Forecasting model | Finanzkrise | Financial crisis | Künstliche Intelligenz | Artificial intelligence | Staatsbankrott | Sovereign default | Währungskrise | Currency crisis | Prognose | Forecast |
Extent: | 1 Online-Ressource (circa 66 Seiten) Illustrationen |
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Series: | IMF working papers. - Washington, DC : IMF, ZDB-ID 2108494-4. - Vol. WP/21, 150 |
Type of publication: | Book / Working Paper |
Type of publication (narrower categories): | Graue Literatur ; Non-commercial literature ; Arbeitspapier ; Working Paper |
Language: | English |
ISBN: | 978-1-5135-7358-8 |
Other identifiers: | 10.5089/9781513573588.001 [DOI] |
Source: | ECONIS - Online Catalogue of the ZBW |
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