State interventions to rescue banks during the global financial crisis

Detalhes bibliográficos
Autor(a) principal: Abreu, J. F.
Data de Publicação: 2019
Outros Autores: Alves, M. G., Gulamhussen, M. A.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10071/18403
Resumo: We model unique state interventions to rescue commercial banks during the 2008-09 global financial crisis with the complementary binary logistic model that accommodates their skewed distribution. Our findings show that large and illiquid banks, and banks from countries with weak regulations, and weak shareholder and creditor rights are more likely to receive state interventions. These findings remain robust to a restricted definition of state intervention, alternative measures of bank fundamentals, placebo estimations, counterfactual sampling with propensity scores, bank and country sample splits, and the standard logistic model. These bank and incremental country level predictors can help regulators and supervisors limit future state interventions.
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spelling State interventions to rescue banks during the global financial crisisFinancial crisisBanksGovernment supportWe model unique state interventions to rescue commercial banks during the 2008-09 global financial crisis with the complementary binary logistic model that accommodates their skewed distribution. Our findings show that large and illiquid banks, and banks from countries with weak regulations, and weak shareholder and creditor rights are more likely to receive state interventions. These findings remain robust to a restricted definition of state intervention, alternative measures of bank fundamentals, placebo estimations, counterfactual sampling with propensity scores, bank and country sample splits, and the standard logistic model. These bank and incremental country level predictors can help regulators and supervisors limit future state interventions.Elsevier2020-02-27T00:00:00Z2019-01-01T00:00:00Z20192019-07-09T15:49:49Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10071/18403eng1059-056010.1016/j.iref.2019.02.013Abreu, J. F.Alves, M. G.Gulamhussen, M. A.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-25T17:48:26ZPortal AgregadorONG
dc.title.none.fl_str_mv State interventions to rescue banks during the global financial crisis
title State interventions to rescue banks during the global financial crisis
spellingShingle State interventions to rescue banks during the global financial crisis
Abreu, J. F.
Financial crisis
Banks
Government support
title_short State interventions to rescue banks during the global financial crisis
title_full State interventions to rescue banks during the global financial crisis
title_fullStr State interventions to rescue banks during the global financial crisis
title_full_unstemmed State interventions to rescue banks during the global financial crisis
title_sort State interventions to rescue banks during the global financial crisis
author Abreu, J. F.
author_facet Abreu, J. F.
Alves, M. G.
Gulamhussen, M. A.
author_role author
author2 Alves, M. G.
Gulamhussen, M. A.
author2_role author
author
dc.contributor.author.fl_str_mv Abreu, J. F.
Alves, M. G.
Gulamhussen, M. A.
dc.subject.por.fl_str_mv Financial crisis
Banks
Government support
topic Financial crisis
Banks
Government support
description We model unique state interventions to rescue commercial banks during the 2008-09 global financial crisis with the complementary binary logistic model that accommodates their skewed distribution. Our findings show that large and illiquid banks, and banks from countries with weak regulations, and weak shareholder and creditor rights are more likely to receive state interventions. These findings remain robust to a restricted definition of state intervention, alternative measures of bank fundamentals, placebo estimations, counterfactual sampling with propensity scores, bank and country sample splits, and the standard logistic model. These bank and incremental country level predictors can help regulators and supervisors limit future state interventions.
publishDate 2019
dc.date.none.fl_str_mv 2019-01-01T00:00:00Z
2019
2019-07-09T15:49:49Z
2020-02-27T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10071/18403
url http://hdl.handle.net/10071/18403
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1059-0560
10.1016/j.iref.2019.02.013
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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