04606nam 2200661Ia 450 991046398990332120211115221941.01-4623-9007-21-4527-2282-X97866128435561-4518-7288-71-282-84355-9(CKB)3170000000055290(EBL)1608346(SSID)ssj0000940063(PQKBManifestationID)11519260(PQKBTitleCode)TC0000940063(PQKBWorkID)10946362(PQKB)10314048(OCoLC)712987789(MiAaPQ)EBC1608346(EXLCZ)99317000000005529020090917d2009 uy 0engur|n|---|||||txtccrBanking crises and crisis dating[electronic resource] theory and evidence /John H. Boyd, Gianni De Nicoló and Elena Loukoianova[Washington, D.C.] International Monetary Fund, Research Dept.20091 online resource (52 p.)IMF working paper ;WP/09/141"July 2009."1-4519-1717-1 Contents; 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 VariablesB. 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?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 Institutions; 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 Indicators14. 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 ClassificationsMany empirical studies of banking crises have employed ""banking crisis"" (BC) indicators constructed using primarily information on government actions undertaken in response to bank distress. We formulate a simple theoretical model of a banking industry which we use to identify and construct theory-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 BC series that have appeared in the literature. Therefore, BC indicators actually measure lagged government responses to systemIMF working paper ;WP/09/141.Bank failuresEconometric modelsBanks and bankingEconometric modelsEconomic indicatorsElectronic books.Bank failuresEconometric models.Banks and bankingEconometric models.Economic indicators.Boyd John H281840De Nicoló Gianni375199Loukoianova Elena901684International Monetary Fund.Research Dept.MiAaPQMiAaPQMiAaPQBOOK9910463989903321Banking crises and crisis dating2156372UNINA