The effect of brexit on the probabilities of default of the FTSE 100’s companies

Detalhes bibliográficos
Autor(a) principal: Miguel, Inês Margarida Frazão de Almeida
Data de Publicação: 2022
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.14/38695
Resumo: The main goal of this dissertation is to understand whether Brexit had any impact on the probabilities of default of the FTSE 100’s companies, as well as to perceive if this impact was any different when considering only firms that are a part of the financial sector. In this research, the firms’ distance to default was computed using the Merton Model, calibrated applying the Maximum Likelihood Approach (Duan, 1994). Then, it was studied whether the distance to default changed more than expected in a number of days, following the classification performed by Korus and Celebi (2019). Two regression analysis were performed. The first one took as dependent variable the daily change in firms’ distance to default, computed from the probabilities of default previously obtained. As explanatory variables, a dummy variable comprising the Brexit-related event days was considered along with several control variables. Using a sample of 56 FTSE 100’s companies, during the period of January 2013 and December 2020, the Brexit dummy was not found to be significant at a 5% level. In the second regression, the Brexit dummy variable was considered only for the financial sector firms. Again, the Brexit dummy was not found to be significant at a 5% level. Consequently, this dissertation was not able to show the existence of a significant relationship between Brexit and the probabilties of default of the FTSE 100’s companies.
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spelling The effect of brexit on the probabilities of default of the FTSE 100’s companiesProbabilities of defaultBrexitMaximum likelihood estimationStructural credit risk modelsProbabilidades de falênciaEstimação de máxima verossimilhançaModelos estruturais de risco de créditoDomínio/Área Científica::Ciências Sociais::Economia e GestãoThe main goal of this dissertation is to understand whether Brexit had any impact on the probabilities of default of the FTSE 100’s companies, as well as to perceive if this impact was any different when considering only firms that are a part of the financial sector. In this research, the firms’ distance to default was computed using the Merton Model, calibrated applying the Maximum Likelihood Approach (Duan, 1994). Then, it was studied whether the distance to default changed more than expected in a number of days, following the classification performed by Korus and Celebi (2019). Two regression analysis were performed. The first one took as dependent variable the daily change in firms’ distance to default, computed from the probabilities of default previously obtained. As explanatory variables, a dummy variable comprising the Brexit-related event days was considered along with several control variables. Using a sample of 56 FTSE 100’s companies, during the period of January 2013 and December 2020, the Brexit dummy was not found to be significant at a 5% level. In the second regression, the Brexit dummy variable was considered only for the financial sector firms. Again, the Brexit dummy was not found to be significant at a 5% level. Consequently, this dissertation was not able to show the existence of a significant relationship between Brexit and the probabilties of default of the FTSE 100’s companies.O objetivo desta tese consiste em compreender o impacto causado pelo Brexit nas probabilidades de falência das empresas do FTSE 100, bem como analisar se este foi diferente quando se tem em consideração apenas se essas empresas fazem parte do sector financeiro. Nesta dissertação, as distâncias de falência de cada empresa foram calculadas usando o modelo de Merton, calibrado através da aplicação do Método de Máxima Verossimilhança (Duan, 1994). Posteriormente, foi estudado se esta métrica teria uma variação maior do que o esperado em certos dias, seguindo a classificação dos autores Korus and Celebi (2019). De modo a calcular este impacto, duas regressões foram feitas. A primeira assume como variável dependente a variação das distâncias de falência, obtidas através das probabilidades de falência previamente calculadas. Relativamente a variáveis explicativas, uma dummy representativa dos dias relacionados com o Brexit foi considerada, juntamente com outras variáveis de controlo. Através de uma amostra de 56 empresas pertencentes ao índice FTSE 100, entre janeiro 2013 e dezembro 2020, a dummy Brexit não foi considerada significativa para um nível de confiança de 5%. Relativamente à segunda regressão, a dummy Brexit teve em conta apenas o sector financeiro. Novamente, esta a dummy não foi considerada significativa a um nível de 5%. Consequentemente, esta dissertação não conseguiu provar a existência de uma relação significativa entre o Brexit e as probabilidades de falência das empresas do FTSE 100.Silva, Nuno Ricardo Raimundo Rodrigues Marques daVeritati - Repositório Institucional da Universidade Católica PortuguesaMiguel, Inês Margarida Frazão de Almeida2022-09-05T08:37:48Z2022-01-252022-012022-01-25T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10400.14/38695TID:202964450enginfo: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:RCAAP2023-07-12T17:44:11Zoai:repositorio.ucp.pt:10400.14/38695Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T18:31:36.215116Repositório 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 The effect of brexit on the probabilities of default of the FTSE 100’s companies
title The effect of brexit on the probabilities of default of the FTSE 100’s companies
spellingShingle The effect of brexit on the probabilities of default of the FTSE 100’s companies
Miguel, Inês Margarida Frazão de Almeida
Probabilities of default
Brexit
Maximum likelihood estimation
Structural credit risk models
Probabilidades de falência
Estimação de máxima verossimilhança
Modelos estruturais de risco de crédito
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
title_short The effect of brexit on the probabilities of default of the FTSE 100’s companies
title_full The effect of brexit on the probabilities of default of the FTSE 100’s companies
title_fullStr The effect of brexit on the probabilities of default of the FTSE 100’s companies
title_full_unstemmed The effect of brexit on the probabilities of default of the FTSE 100’s companies
title_sort The effect of brexit on the probabilities of default of the FTSE 100’s companies
author Miguel, Inês Margarida Frazão de Almeida
author_facet Miguel, Inês Margarida Frazão de Almeida
author_role author
dc.contributor.none.fl_str_mv Silva, Nuno Ricardo Raimundo Rodrigues Marques da
Veritati - Repositório Institucional da Universidade Católica Portuguesa
dc.contributor.author.fl_str_mv Miguel, Inês Margarida Frazão de Almeida
dc.subject.por.fl_str_mv Probabilities of default
Brexit
Maximum likelihood estimation
Structural credit risk models
Probabilidades de falência
Estimação de máxima verossimilhança
Modelos estruturais de risco de crédito
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
topic Probabilities of default
Brexit
Maximum likelihood estimation
Structural credit risk models
Probabilidades de falência
Estimação de máxima verossimilhança
Modelos estruturais de risco de crédito
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
description The main goal of this dissertation is to understand whether Brexit had any impact on the probabilities of default of the FTSE 100’s companies, as well as to perceive if this impact was any different when considering only firms that are a part of the financial sector. In this research, the firms’ distance to default was computed using the Merton Model, calibrated applying the Maximum Likelihood Approach (Duan, 1994). Then, it was studied whether the distance to default changed more than expected in a number of days, following the classification performed by Korus and Celebi (2019). Two regression analysis were performed. The first one took as dependent variable the daily change in firms’ distance to default, computed from the probabilities of default previously obtained. As explanatory variables, a dummy variable comprising the Brexit-related event days was considered along with several control variables. Using a sample of 56 FTSE 100’s companies, during the period of January 2013 and December 2020, the Brexit dummy was not found to be significant at a 5% level. In the second regression, the Brexit dummy variable was considered only for the financial sector firms. Again, the Brexit dummy was not found to be significant at a 5% level. Consequently, this dissertation was not able to show the existence of a significant relationship between Brexit and the probabilties of default of the FTSE 100’s companies.
publishDate 2022
dc.date.none.fl_str_mv 2022-09-05T08:37:48Z
2022-01-25
2022-01
2022-01-25T00:00:00Z
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