Predicting macroeconomic and macrofinancial stress in low-income countries

Medientyp: E-Book

Titel: Predicting macroeconomic and macrofinancial stress in low-income countries

Beteiligte: Carvalho Filho, Irineu de [Verfasser:in]; Weisfeld, Hans [Herausgeber:in]; Comelli, Fabio [Verfasser:in]; Giri, Rahul [Verfasser:in]; Hellwig, Klaus [Verfasser:in]; Huang, Chengyu [Verfasser:in]; Liu, Fei [Verfasser:in]; Lizarazo Ruiz, Sandra [Verfasser:in]; Meyer Cirkel, Alexis [Verfasser:in]; Presbitero, Andrea [Verfasser:in]

Erschienen: [Washington, DC]: International Monetary Fund, December 2020

Umfang: 1 Online-Ressource (circa 64 Seiten); Illustrationen

Sprache: Englisch

DOI: 10.5089/9781513564609.001

ISBN: 9781513564609

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Schlagwörter: crisis prediction ; machine learning ; low-income countries ; Crisis Prediction ; Early Warning Systems ; Inflation Crisis ; Low-Income Countries ; Machine Learning ; Early warning systems ; Macroeconomics ; Economics: General ; International Economics ; Financial Risk Management ; Inflation ; Banks and Banking ; Forecasting and Other Model Applications ; Monetary Policy ; Financial Crises ; Macroeconomic Analyses of Economic Development ; Business Fluctuations ; Cycles ; Price Level ; Deflation ; Financing Policy ; [...]

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Beschreibung: In recent years, Fund staff has prepared cross-country analyses of macroeconomic vulnerabilities in low-income countries, focusing on the risk of sharp declines in economic growth and of debt distress. We discuss routes to broadening this focus by adding several macroeconomic and macrofinancial vulnerability concepts. The associated early warning systems draw on advances in predictive modeling

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