How to measure banking regulation and supervision

Detalhes bibliográficos
Autor(a) principal: Pereira, C.
Data de Publicação: 2023
Outros Autores: Ramalho, J. J. S., Silva, J. V.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10071/29388
Resumo: This paper uses data from 141 countries to identify the variables that best characterize worldwide banking regulation and supervision practices. We apply a nonlinear principal components analysis with optimal variable transformation to deal with the variables’ mixed measurement levels and reduce data dimensionality. The robustness of the results is tested for different subsamples. The findings indicate that deposit insurance, liquidity, diversification requirements, complementary banking activities, and market discipline are the most reliable indicators to measure regulation. In contrast, resolution activities, the mandate of the head of the supervisory agency, and the report of prudential regulation infractions assume the same role for banking supervision. Capital requirements and ownership are of minor relevance and are sensitive to a country’s development level. China and Germany display the most distinct regulation practices, while China and the UK adopt the most stringent policies regarding supervision.
id RCAP_9423598e558b58364b518dd505e718e0
oai_identifier_str oai:repositorio.iscte-iul.pt:10071/29388
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling How to measure banking regulation and supervisionBanking regulationBanking supervisionNonlinear principal components analysisThis paper uses data from 141 countries to identify the variables that best characterize worldwide banking regulation and supervision practices. We apply a nonlinear principal components analysis with optimal variable transformation to deal with the variables’ mixed measurement levels and reduce data dimensionality. The robustness of the results is tested for different subsamples. The findings indicate that deposit insurance, liquidity, diversification requirements, complementary banking activities, and market discipline are the most reliable indicators to measure regulation. In contrast, resolution activities, the mandate of the head of the supervisory agency, and the report of prudential regulation infractions assume the same role for banking supervision. Capital requirements and ownership are of minor relevance and are sensitive to a country’s development level. China and Germany display the most distinct regulation practices, while China and the UK adopt the most stringent policies regarding supervision.Elsevier Science2023-10-09T11:31:18Z2023-01-01T00:00:00Z20232023-10-09T12:29:29Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10071/29388eng0275-531910.1016/j.ribaf.2023.102059Pereira, C.Ramalho, J. J. S.Silva, J. V.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:RCAAP2023-11-09T17:52:11Zoai:repositorio.iscte-iul.pt:10071/29388Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:25:58.495314Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv How to measure banking regulation and supervision
title How to measure banking regulation and supervision
spellingShingle How to measure banking regulation and supervision
Pereira, C.
Banking regulation
Banking supervision
Nonlinear principal components analysis
title_short How to measure banking regulation and supervision
title_full How to measure banking regulation and supervision
title_fullStr How to measure banking regulation and supervision
title_full_unstemmed How to measure banking regulation and supervision
title_sort How to measure banking regulation and supervision
author Pereira, C.
author_facet Pereira, C.
Ramalho, J. J. S.
Silva, J. V.
author_role author
author2 Ramalho, J. J. S.
Silva, J. V.
author2_role author
author
dc.contributor.author.fl_str_mv Pereira, C.
Ramalho, J. J. S.
Silva, J. V.
dc.subject.por.fl_str_mv Banking regulation
Banking supervision
Nonlinear principal components analysis
topic Banking regulation
Banking supervision
Nonlinear principal components analysis
description This paper uses data from 141 countries to identify the variables that best characterize worldwide banking regulation and supervision practices. We apply a nonlinear principal components analysis with optimal variable transformation to deal with the variables’ mixed measurement levels and reduce data dimensionality. The robustness of the results is tested for different subsamples. The findings indicate that deposit insurance, liquidity, diversification requirements, complementary banking activities, and market discipline are the most reliable indicators to measure regulation. In contrast, resolution activities, the mandate of the head of the supervisory agency, and the report of prudential regulation infractions assume the same role for banking supervision. Capital requirements and ownership are of minor relevance and are sensitive to a country’s development level. China and Germany display the most distinct regulation practices, while China and the UK adopt the most stringent policies regarding supervision.
publishDate 2023
dc.date.none.fl_str_mv 2023-10-09T11:31:18Z
2023-01-01T00:00:00Z
2023
2023-10-09T12:29:29Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10071/29388
url http://hdl.handle.net/10071/29388
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0275-5319
10.1016/j.ribaf.2023.102059
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 Science
publisher.none.fl_str_mv Elsevier Science
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
_version_ 1799134822674726912