Distress in European Banks : An Analysis Based on a New Dataset.

By: Poghosyan, TigranContributor(s): Cihák, MartinMaterial type: TextTextSeries: IMF Working PapersPublisher: Washington : International Monetary Fund, 2009Copyright date: ©2009Description: 1 online resource (39 pages)Content type: text Media type: computer Carrier type: online resourceISBN: 9781451915921Subject(s): Banks and banking -- European Union countries | Europe -- Economic conditionsGenre/Form: Electronic books.Additional physical formats: Print version:: Distress in European Banks : An Analysis Based on a New DatasetDDC classification: 332.1068 | 332.10684 LOC classification: HG1582.E85 -- P64 2009ebOnline resources: Click to View
Contents:
Intro -- Contents -- I. Introduction -- II. Motivation -- A. Early Warning Systems for Banking Soundness -- B. Examples of Uses of the Early Warning Systems -- III. Methodology and Data -- A. Estimation Methodology -- B. Data -- IV. Estimation Results -- A. Baseline Estimate -- B. Robustness Checks -- C. Prediction Results -- D. Marginal Effects -- V. Conclusion -- References -- Tables -- 1. Database Overview -- 2. Determinants of Bank Distress -- 3. Logit Estimation Results -- 4. Type I and Type II Errors -- Figures -- 1. Overview of Distress Events by Year and by Country, 1995-2007 -- 2. Banks at Risk -- 3. Assets at Risk -- 4. Marginal Effects of Significant CAMEL Covariates -- 5. Trade-off in the Impact on PD between Pairs of Significant CAMEL Covariates -- Appendices -- I. Early Warning Systems for Banking Supervision: -- II. European Banking System -- III. European Structured Early Intervention and Resolution.
Summary: The global financial crisis has highlighted the importance of early identification of weak banks: when problems are identified late, solutions are much more costly. Until recently, Europe has seen only a small number of outright bank failures, which made the estimation of early warning models for bank supervision very difficult. This paper presents a unique database of individual bank distress across the European Union from mid-1990s to 2008. Using this data set, we analyze the causes of banking distress in Europe. We identify a set of indicators and thresholds that can help to distinguish sound banks from those vulnerable to financial distress.
Tags from this library: No tags from this library for this title. Log in to add tags.
    Average rating: 0.0 (0 votes)
No physical items for this record

Intro -- Contents -- I. Introduction -- II. Motivation -- A. Early Warning Systems for Banking Soundness -- B. Examples of Uses of the Early Warning Systems -- III. Methodology and Data -- A. Estimation Methodology -- B. Data -- IV. Estimation Results -- A. Baseline Estimate -- B. Robustness Checks -- C. Prediction Results -- D. Marginal Effects -- V. Conclusion -- References -- Tables -- 1. Database Overview -- 2. Determinants of Bank Distress -- 3. Logit Estimation Results -- 4. Type I and Type II Errors -- Figures -- 1. Overview of Distress Events by Year and by Country, 1995-2007 -- 2. Banks at Risk -- 3. Assets at Risk -- 4. Marginal Effects of Significant CAMEL Covariates -- 5. Trade-off in the Impact on PD between Pairs of Significant CAMEL Covariates -- Appendices -- I. Early Warning Systems for Banking Supervision: -- II. European Banking System -- III. European Structured Early Intervention and Resolution.

The global financial crisis has highlighted the importance of early identification of weak banks: when problems are identified late, solutions are much more costly. Until recently, Europe has seen only a small number of outright bank failures, which made the estimation of early warning models for bank supervision very difficult. This paper presents a unique database of individual bank distress across the European Union from mid-1990s to 2008. Using this data set, we analyze the causes of banking distress in Europe. We identify a set of indicators and thresholds that can help to distinguish sound banks from those vulnerable to financial distress.

Description based on publisher supplied metadata and other sources.

Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2018. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.

There are no comments on this title.

to post a comment.

Powered by Koha