Systemic risk analysis via D-vine quantile regression: the case of Silicon Valley Bank

Detalhes bibliográficos
Ano de defesa: 2024
Autor(a) principal: Santos, Marcos Vinícius Rodrigues de Oliveira lattes
Orientador(a): Tófoli, Paula Virgínia lattes
Banca de defesa: Não Informado pela instituição
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Católica de Brasília
Programa de Pós-Graduação: Programa Stricto Sensu em Economia de Empresas
Departamento: Escola de Humanidades, Negócios e Direito
País: Brasil
Palavras-chave em Português:
Palavras-chave em Inglês:
Área do conhecimento CNPq:
Link de acesso: https://bdtd.ucb.br:8443/jspui/handle/tede/3433
Resumo: With the failures of Silicon Valley Bank and Signature Bank at the beginning of 2023, a red sign lighted up. Such banks figured among the US banks with the highest proportions of uninsured deposits and, with the recent rise in interest rates in US, the market value of their assets declined and the uninsured depositors ran to withdraw their money. According to S&P Global Market Intelligence (2023), many large and medium banks in US also presented high proportions of uninsured deposits by the end of 2022, being susceptible to bank runs. Therefore, in this dissertation, we aim at analyzing the possible spillover effects of a crisis emerging among the US banks with the highest proportions of uninsured deposits over the US insurance sector and the European banking sector. For that purpose, we perform a stress test using a D-vine based quantile regression and a data set of daily log-returns of 12 US banks with high proportion of uninsured deposits (both medium and large banks), 4 US insurance companies and 10 European banks, from December 30, 2014, to March 8, 2023. The results of the stress test suggest that, overall, a crisis involving these banks would strongly affect both the US insurance sector and the European banking sector, although with a stronger geographical impact.
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spelling Tófoli, Paula Virgíniahttp://lattes.cnpq.br/9625957902840622http://lattes.cnpq.br/3366849939431141Santos, Marcos Vinícius Rodrigues de Oliveira2024-05-07T21:38:44Z2024-02-29SANTOS, Marcos Vinícius Rodrigues de Oliveira. Systemic risk analysis via D-vine quantile regression: the case of Silicon Valley Bank. 2023. 56 f. Dissertação (Programa Stricto Sensu em Economia de Empresas) - Universidade Católica de Brasília, Brasília, 2023.https://bdtd.ucb.br:8443/jspui/handle/tede/3433With the failures of Silicon Valley Bank and Signature Bank at the beginning of 2023, a red sign lighted up. Such banks figured among the US banks with the highest proportions of uninsured deposits and, with the recent rise in interest rates in US, the market value of their assets declined and the uninsured depositors ran to withdraw their money. According to S&P Global Market Intelligence (2023), many large and medium banks in US also presented high proportions of uninsured deposits by the end of 2022, being susceptible to bank runs. Therefore, in this dissertation, we aim at analyzing the possible spillover effects of a crisis emerging among the US banks with the highest proportions of uninsured deposits over the US insurance sector and the European banking sector. For that purpose, we perform a stress test using a D-vine based quantile regression and a data set of daily log-returns of 12 US banks with high proportion of uninsured deposits (both medium and large banks), 4 US insurance companies and 10 European banks, from December 30, 2014, to March 8, 2023. The results of the stress test suggest that, overall, a crisis involving these banks would strongly affect both the US insurance sector and the European banking sector, although with a stronger geographical impact.Com as falências do Silicon Valley e Signature Bank no começo de 2023, um alerta vermelho foi acionado. Esses bancos figuravam entre os bancos dos EUA com as maiores proporções de depósitos não segurados e, com a recente alta da taxa de juros nos EUA, o valor de mercado de seus ativos caiu e os depositantes não segurados correram para resgatar o seu dinheiro. De acordo com S&P Global Market Intelligence (2023), muitos bancos norte-americanos médios e grandes também apresentavam altas proporções de depósitos não segurados até o final de 2022, sendo suscetíveis a corridas bancárias. Portanto, nessa dissertação, pretendemos analisar os possíveis efeitos de transbordamento, ou seja, spillover effects, de uma crise emergente entre os bancos norte-americanos com as maiores proporções de depósitos não segurados sobre as seguradoras norte-americanas e os bancos europeus. Para isso, realizamos um teste de estresse usando uma regressão quantílica baseada em D-vine e um conjunto de dados de log-retornos diários de 12 bancos norte-americanos com alta proporção de depósitos não segurados (bancos médios e grandes), 4 companhias de seguros norte-americanas e 10 bancos europeus, de 30 de dezembro de 2014 a 8 de março de 2023. Os resultados do teste de estresse sugerem que, de modo geral, uma crise envolvendo estes bancos afetaria fortemente tanto o setor de seguros dos EUA quanto o setor bancário europeu, embora com um impacto geográfico mais forte.Submitted by Ihorranna Oliveira (ihorranna.oliveira@ucb.br) on 2024-04-11T21:01:08Z No. of bitstreams: 1 MarcosSantosDissertacao2023.pdf: 2520604 bytes, checksum: 86faa7f94bbe7a5c393b9bda9817c0e0 (MD5)Approved for entry into archive by Sara Ribeiro (sara.ribeiro@ucb.br) on 2024-05-07T21:38:44Z (GMT) No. of bitstreams: 1 MarcosSantosDissertacao2023.pdf: 2520604 bytes, checksum: 86faa7f94bbe7a5c393b9bda9817c0e0 (MD5)Made available in DSpace on 2024-05-07T21:38:44Z (GMT). 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dc.title.por.fl_str_mv Systemic risk analysis via D-vine quantile regression: the case of Silicon Valley Bank
title Systemic risk analysis via D-vine quantile regression: the case of Silicon Valley Bank
spellingShingle Systemic risk analysis via D-vine quantile regression: the case of Silicon Valley Bank
Santos, Marcos Vinícius Rodrigues de Oliveira
Risco sistêmico
Bancos
Regressão qunatílica
Cópula
Systemic risk
Banks
Silicon Valley
D-vine
Quantile regression
CoVaR
Copula
CNPQ::CIENCIAS SOCIAIS APLICADAS::ECONOMIA
title_short Systemic risk analysis via D-vine quantile regression: the case of Silicon Valley Bank
title_full Systemic risk analysis via D-vine quantile regression: the case of Silicon Valley Bank
title_fullStr Systemic risk analysis via D-vine quantile regression: the case of Silicon Valley Bank
title_full_unstemmed Systemic risk analysis via D-vine quantile regression: the case of Silicon Valley Bank
title_sort Systemic risk analysis via D-vine quantile regression: the case of Silicon Valley Bank
author Santos, Marcos Vinícius Rodrigues de Oliveira
author_facet Santos, Marcos Vinícius Rodrigues de Oliveira
author_role author
dc.contributor.advisor1.fl_str_mv Tófoli, Paula Virgínia
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/9625957902840622
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/3366849939431141
dc.contributor.author.fl_str_mv Santos, Marcos Vinícius Rodrigues de Oliveira
contributor_str_mv Tófoli, Paula Virgínia
dc.subject.por.fl_str_mv Risco sistêmico
Bancos
Regressão qunatílica
Cópula
topic Risco sistêmico
Bancos
Regressão qunatílica
Cópula
Systemic risk
Banks
Silicon Valley
D-vine
Quantile regression
CoVaR
Copula
CNPQ::CIENCIAS SOCIAIS APLICADAS::ECONOMIA
dc.subject.eng.fl_str_mv Systemic risk
Banks
Silicon Valley
D-vine
Quantile regression
CoVaR
Copula
dc.subject.cnpq.fl_str_mv CNPQ::CIENCIAS SOCIAIS APLICADAS::ECONOMIA
description With the failures of Silicon Valley Bank and Signature Bank at the beginning of 2023, a red sign lighted up. Such banks figured among the US banks with the highest proportions of uninsured deposits and, with the recent rise in interest rates in US, the market value of their assets declined and the uninsured depositors ran to withdraw their money. According to S&P Global Market Intelligence (2023), many large and medium banks in US also presented high proportions of uninsured deposits by the end of 2022, being susceptible to bank runs. Therefore, in this dissertation, we aim at analyzing the possible spillover effects of a crisis emerging among the US banks with the highest proportions of uninsured deposits over the US insurance sector and the European banking sector. For that purpose, we perform a stress test using a D-vine based quantile regression and a data set of daily log-returns of 12 US banks with high proportion of uninsured deposits (both medium and large banks), 4 US insurance companies and 10 European banks, from December 30, 2014, to March 8, 2023. The results of the stress test suggest that, overall, a crisis involving these banks would strongly affect both the US insurance sector and the European banking sector, although with a stronger geographical impact.
publishDate 2024
dc.date.accessioned.fl_str_mv 2024-05-07T21:38:44Z
dc.date.issued.fl_str_mv 2024-02-29
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
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dc.identifier.citation.fl_str_mv SANTOS, Marcos Vinícius Rodrigues de Oliveira. Systemic risk analysis via D-vine quantile regression: the case of Silicon Valley Bank. 2023. 56 f. Dissertação (Programa Stricto Sensu em Economia de Empresas) - Universidade Católica de Brasília, Brasília, 2023.
dc.identifier.uri.fl_str_mv https://bdtd.ucb.br:8443/jspui/handle/tede/3433
identifier_str_mv SANTOS, Marcos Vinícius Rodrigues de Oliveira. Systemic risk analysis via D-vine quantile regression: the case of Silicon Valley Bank. 2023. 56 f. Dissertação (Programa Stricto Sensu em Economia de Empresas) - Universidade Católica de Brasília, Brasília, 2023.
url https://bdtd.ucb.br:8443/jspui/handle/tede/3433
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dc.publisher.country.fl_str_mv Brasil
dc.publisher.department.fl_str_mv Escola de Humanidades, Negócios e Direito
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