Verfügbarkeit: Monitoring Banking Sector Fragility

Monitoring Banking Sector Fragility: A Multivariate Logit Approach

This paper explores how a multivariate logit empirical model of banking crisis probabilities can be used to monitor banking sector fragility. The proposed approach relies on readily available data, and the fragility assessment has a clear interpretation based on in-sample statistics. The model has b...

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1. Verfasser:	Detragiache, Enrica (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	English
Veröffentlicht:	Washington, D.C International Monetary Fund 1999
Schriftenreihe:	IMF Working Papers Working Paper No. 99/147
Online-Zugang:	UBW01 UEI01 LCO01 SBR01 UER01 SBG01 UBG01 FAN01 UBT01 FKE01 UBY01 UBA01 FLA01 UBM01 UPA01 UBR01 FHA01 FNU01 BSB01 TUM01 Volltext
Zusammenfassung:	This paper explores how a multivariate logit empirical model of banking crisis probabilities can be used to monitor banking sector fragility. The proposed approach relies on readily available data, and the fragility assessment has a clear interpretation based on in-sample statistics. The model has better in-sample performance than currently available alternatives, and the monitoring system can be tailored to fit the preferences of the decision maker regarding type I and type II errors. The framework can be useful as a preliminary screen to economize on precautionary costs
Beschreibung:	1 Online-Ressource (27 p)
ISBN:	1451856717 9781451856712

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spelling	Detragiache, Enrica Verfasser aut Monitoring Banking Sector Fragility A Multivariate Logit Approach Detragiache, Enrica Washington, D.C International Monetary Fund 1999 1 Online-Ressource (27 p) txt rdacontent c rdamedia cr rdacarrier IMF Working Papers Working Paper No. 99/147 This paper explores how a multivariate logit empirical model of banking crisis probabilities can be used to monitor banking sector fragility. The proposed approach relies on readily available data, and the fragility assessment has a clear interpretation based on in-sample statistics. The model has better in-sample performance than currently available alternatives, and the monitoring system can be tailored to fit the preferences of the decision maker regarding type I and type II errors. The framework can be useful as a preliminary screen to economize on precautionary costs Online-Ausg Demirgüç-Kunt, Asli Sonstige oth http://elibrary.imf.org/view/IMF001/04758-9781451856712/04758-9781451856712/04758-9781451856712.xml Verlag URL des Erstveröffentlichers Volltext
spellingShingle	Detragiache, Enrica Monitoring Banking Sector Fragility A Multivariate Logit Approach
title	Monitoring Banking Sector Fragility A Multivariate Logit Approach
title_auth	Monitoring Banking Sector Fragility A Multivariate Logit Approach
title_exact_search	Monitoring Banking Sector Fragility A Multivariate Logit Approach
title_exact_search_txtP	Monitoring Banking Sector Fragility A Multivariate Logit Approach
title_full	Monitoring Banking Sector Fragility A Multivariate Logit Approach Detragiache, Enrica
title_fullStr	Monitoring Banking Sector Fragility A Multivariate Logit Approach Detragiache, Enrica
title_full_unstemmed	Monitoring Banking Sector Fragility A Multivariate Logit Approach Detragiache, Enrica
title_short	Monitoring Banking Sector Fragility
title_sort	monitoring banking sector fragility a multivariate logit approach
title_sub	A Multivariate Logit Approach
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work_keys_str_mv	AT detragiacheenrica monitoringbankingsectorfragilityamultivariatelogitapproach AT demirguckuntasli monitoringbankingsectorfragilityamultivariatelogitapproach

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