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Banking Crises and Crisis Dating.
Many empirical studies of banking crises have employed ""banking crisis"" (BC) indicators constructedusing primarily information on government actions undertaken in response to bank distress. Weformulate a simple theoretical model of a banking industry which we use to identify an...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Washington :
International Monetary Fund,
2009.
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| Colección: | IMF Working Papers.
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 003 | OCoLC | ||
| 005 | 20240329122006.0 | ||
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| 008 | 140208s2009 dcu o 000 0 eng d | ||
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| 020 | |a 9781451917178 | ||
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| 035 | |a (OCoLC)870245366 | ||
| 050 | 4 | |a HG1573 |b B693 2009 | |
| 082 | 1 | 4 | |a 330 |q OCoLC |2 15/eng/20231120 |
| 049 | |a UAMI | ||
| 100 | 1 | |a Loukoianova, Elena. | |
| 245 | 1 | 0 | |a Banking Crises and Crisis Dating. |
| 260 | |a Washington : |b International Monetary Fund, |c 2009. | ||
| 300 | |a 1 online resource (52 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a IMF Working Papers | |
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a I. Introduction and Summary; II. Major Classifications of Banking Crises; III. BC Indicators an d Their Discrepancies; IV. A Simple Banking Model; V. Evidence from Cross-Country Data: Benchmark Specifications; A. Logit Regressions with BC Indicators as Dependent Variables; B. SBS indicators Predict BC indicators; C. Logit Regressions with SBS Indicators as Dependent Variables; VI. Market Structure and Deposit Insurance; A. Bank Market Structure and Competition; B. Deposit Insurance; VII. Currency and "Twin" Crises; A. BC and SBS Indicators as Dependent Variables. | |
| 505 | 8 | |a B. Currency Crises as Dependent VariablesVIII. Evidence from Bank-Level Data; A. Measures of Systemic Bank Shocks; B. SBS indicators Predict BC indicators; C. Market Structure, Deposit Insurance and External Shocks; VI. Conclusion; References; Tables; 1. BC Indicators; 2. Logit Regressions with Start Date BC Indicators (crisis dates after the first crisis year excluded); 3. Logit Regressions with BC Indicators (all observations with crisis dating); 4. Logit Regressions: Do SBS Lending Indicators Predict BC Indicators?; 5. Logit Regressions: Do SBS Deposit Indicators Predict BC Indicators? | |
| 505 | 8 | |a 6. Logit Regressions with SBS Indicators ad Dependent Variables7. Logit Regressions: BC Indicators and Bank Concentration Measures; 8. Logit Regressions: SBS Indicators and Bank Concentration Measures; 9. Logit Regressions: BC Indicators, SBS Indicators and Deposit Insurance; 10. Logit Regressions: BC Indicators, SBS Indicators, Deposit Insurance Features and Quality of Insitutions; 11. Logit Regressions: BC Indicators, Currency and Twin Crises; 12. Logit Regressions: SBS Indicators, Currency and Twin Crises; 13. Logit Regressions: Currency Crises and SBS Indicators. | |
| 505 | 8 | |a 14. Bank Level Data, Random Effect Logit Regressions: SBS Indicators Predict BC Indicators15. Bank Level Data, Random Effect Logit Regressions: Determinants of SBS and BC Indicators; A1. ""Systemic"" Banking Crises and Crisis Dating in Different Classifications. | |
| 520 | |a Many empirical studies of banking crises have employed ""banking crisis"" (BC) indicators constructedusing primarily information on government actions undertaken in response to bank distress. Weformulate a simple theoretical model of a banking industry which we use to identify and constructtheory-based measures of systemic bank shocks (SBS). Using both country-level and firm-level samples, we show that SBS indicators consistently predict BC indicators based on four major BCseries that have appeared in the literature. Therefore, BC indicatorsactually measure lagged government responses to syste | ||
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Bank failures |x Econometric models. | |
| 650 | 0 | |a Banks and banking |x Econometric models. | |
| 650 | 0 | |a Economic indicators. | |
| 650 | 6 | |a Banques |x Faillites |x Modèles économétriques. | |
| 650 | 6 | |a Indicateurs économiques. | |
| 650 | 7 | |a Bank failures |x Econometric models |2 fast | |
| 650 | 7 | |a Banks and banking |x Econometric models |2 fast | |
| 650 | 7 | |a Economic indicators |2 fast | |
| 700 | 1 | |a De Nicoló, Gianni. | |
| 700 | 1 | |a Boyd, John H. | |
| 758 | |i has work: |a Banking crises and crisis dating (Text) |1 https://id.oclc.org/worldcat/entity/E39PCFXFJRJVk6X7DR8VkCXKMK |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |a Loukoianova, Elena. |t Banking Crises and Crisis Dating: Theory and Evidence. |d Washington : International Monetary Fund, ©2009 |z 9781451872880 |
| 830 | 0 | |a IMF Working Papers. | |
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=1608346 |z Texto completo |
| 938 | |a EBL - Ebook Library |b EBLB |n EBL1608346 | ||
| 938 | |a YBP Library Services |b YANK |n 11617929 | ||
| 994 | |a 92 |b IZTAP | ||