Systemic risk analysis via D-vine quantile regression: the case of Silicon Valley Bank
| Ano de defesa: | 2024 |
|---|---|
| Autor(a) principal: | |
| Orientador(a): | |
| Banca de defesa: | |
| 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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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). No. of bitstreams: 1 MarcosSantosDissertacao2023.pdf: 2520604 bytes, checksum: 86faa7f94bbe7a5c393b9bda9817c0e0 (MD5) Previous issue date: 2024-02-29application/pdfhttps://bdtd.ucb.br:8443/jspui/retrieve/11900/MarcosSantosDissertacao2023.pdf.jpgporUniversidade Católica de BrasíliaPrograma Stricto Sensu em Economia de EmpresasUCBBrasilEscola de Humanidades, Negócios e DireitoRisco sistêmicoBancosRegressão qunatílicaCópulaSystemic riskBanksSilicon ValleyD-vineQuantile regressionCoVaRCopulaCNPQ::CIENCIAS SOCIAIS APLICADAS::ECONOMIASystemic risk analysis via D-vine quantile regression: the case of Silicon Valley Bankinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/openAccessreponame:Biblioteca Digital de Teses e Dissertações da UCBinstname:Universidade Católica de Brasília (UCB)instacron:UCBLICENSElicense.txtlicense.txttext/plain; charset=utf-81905https://bdtd.ucb.br:8443/jspui/bitstream/tede/3433/1/license.txt75558dcf859532757239878b42f1c2c7MD51ORIGINALMarcosSantosDissertacao2023.pdfMarcosSantosDissertacao2023.pdfapplication/pdf2520604https://bdtd.ucb.br:8443/jspui/bitstream/tede/3433/2/MarcosSantosDissertacao2023.pdf86faa7f94bbe7a5c393b9bda9817c0e0MD52TEXTMarcosSantosDissertacao2023.pdf.txtMarcosSantosDissertacao2023.pdf.txttext/plain110797https://bdtd.ucb.br:8443/jspui/bitstream/tede/3433/3/MarcosSantosDissertacao2023.pdf.txtdba5cdac1805833a5e81e92919e37ebdMD53THUMBNAILMarcosSantosDissertacao2023.pdf.jpgMarcosSantosDissertacao2023.pdf.jpgimage/jpeg3124https://bdtd.ucb.br:8443/jspui/bitstream/tede/3433/4/MarcosSantosDissertacao2023.pdf.jpg7fe627c145bcfec4401709cdb13cae89MD54tede/34332024-05-08 13:02:16.132oai:bdtd.ucb.br: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 Digital de Teses e Dissertaçõeshttps://bdtd.ucb.br:8443/jspui/PRIhttps://bdtd.ucb.br:8443/oai/requestsdi@ucb.bropendoar:47812024-05-08T13:02:16Biblioteca Digital de Teses e Dissertações da UCB - Universidade Católica de Brasília (UCB)false |
| 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. |
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2024 |
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2024-05-07T21:38:44Z |
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2024-02-29 |
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info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/masterThesis |
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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. |
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https://bdtd.ucb.br:8443/jspui/handle/tede/3433 |
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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. |
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