The determinants of Euro Zone government credit spreads

Detalhes bibliográficos
Autor(a) principal: Jesus, Carlos Alberto Alves de
Data de Publicação: 2010
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Texto Completo: http://hdl.handle.net/10071/4469
Resumo: This paper studies the determinants of the Euro Zone government credit spreads. We analyzed the sensitivity of credit spread changes to financial and macroeconomic variables. We used the popular parameterization of the zero-coupon yield curve introduced by Nelson and Siegel (1987) in order to estimate the term structure of interest rates for seven EMU countries from January 2000 to December 2005. Sovereign credit spreads are computed from each of the countries against Germany, which was considered as the EMU benchmark. Subsequent analysis is made following Van Landschoot (2004) and Dullmann et al. (2000). Results suggest that the level of spot interest rates and the slope of the yield curve are statistically significant explanatory variables of credit spread changes, whereas other macroeconomic and market related variables present mixed conclusions. Panel data analysis shows that there is no evidence of different responses to credit spread changes across countries.
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spelling The determinants of Euro Zone government credit spreadsCredit spreadsZona euro -- Euro zoneNelson-SiegelSpreads de créditoThis paper studies the determinants of the Euro Zone government credit spreads. We analyzed the sensitivity of credit spread changes to financial and macroeconomic variables. We used the popular parameterization of the zero-coupon yield curve introduced by Nelson and Siegel (1987) in order to estimate the term structure of interest rates for seven EMU countries from January 2000 to December 2005. Sovereign credit spreads are computed from each of the countries against Germany, which was considered as the EMU benchmark. Subsequent analysis is made following Van Landschoot (2004) and Dullmann et al. (2000). Results suggest that the level of spot interest rates and the slope of the yield curve are statistically significant explanatory variables of credit spread changes, whereas other macroeconomic and market related variables present mixed conclusions. Panel data analysis shows that there is no evidence of different responses to credit spread changes across countries.Esta tese tem por objectivo estudar quais os determinantes dos spreads de dívida soberana da Zona Euro. Neste sentido, foi analisada a sensibilidade dos spreads de crédito de dívida soberana a variações em variáveis de natureza financeira e macroeconómica. Para estimar a estrutura temporal de taxas de juro para sete países pertencentes à união económica e monetária, entre Janeiro de 2000 e Dezembro de 2005, foi usado o modelo de parametrização desenvolvido por Nelson and Siegel (1987). Os spreads de dívida soberana foram calculados face à dívida alemã, considerada aqui como benchmark da Zona Euro. Análise posterior respeita a metodologia seguida por Van Landschoot (2004) e Dullmann et al. (2000). Os resultados sugerem que o nível das taxas de juro spot e a inclinação da curva de taxas de juro são variáveis estatisticamente significativas para a explicação das variações dos spreads de dívida soberana, enquanto que as variáveis de natureza macroeconómica e de mercado apresentam resultados mistos. A análise de dados em painel não mostra nenhuma evidência de respostas diferentes a variações dos spreads de dívida soberana entre os diferentes países.2013-01-28T18:28:16Z2010-01-01T00:00:00Z20102010-06info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10071/4469engJesus, Carlos Alberto Alves deinfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-07-07T03:29:34Zoai:repositorio.iscte-iul.pt:10071/4469Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T18:25:24.989530Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv The determinants of Euro Zone government credit spreads
title The determinants of Euro Zone government credit spreads
spellingShingle The determinants of Euro Zone government credit spreads
Jesus, Carlos Alberto Alves de
Credit spreads
Zona euro -- Euro zone
Nelson-Siegel
Spreads de crédito
title_short The determinants of Euro Zone government credit spreads
title_full The determinants of Euro Zone government credit spreads
title_fullStr The determinants of Euro Zone government credit spreads
title_full_unstemmed The determinants of Euro Zone government credit spreads
title_sort The determinants of Euro Zone government credit spreads
author Jesus, Carlos Alberto Alves de
author_facet Jesus, Carlos Alberto Alves de
author_role author
dc.contributor.author.fl_str_mv Jesus, Carlos Alberto Alves de
dc.subject.por.fl_str_mv Credit spreads
Zona euro -- Euro zone
Nelson-Siegel
Spreads de crédito
topic Credit spreads
Zona euro -- Euro zone
Nelson-Siegel
Spreads de crédito
description This paper studies the determinants of the Euro Zone government credit spreads. We analyzed the sensitivity of credit spread changes to financial and macroeconomic variables. We used the popular parameterization of the zero-coupon yield curve introduced by Nelson and Siegel (1987) in order to estimate the term structure of interest rates for seven EMU countries from January 2000 to December 2005. Sovereign credit spreads are computed from each of the countries against Germany, which was considered as the EMU benchmark. Subsequent analysis is made following Van Landschoot (2004) and Dullmann et al. (2000). Results suggest that the level of spot interest rates and the slope of the yield curve are statistically significant explanatory variables of credit spread changes, whereas other macroeconomic and market related variables present mixed conclusions. Panel data analysis shows that there is no evidence of different responses to credit spread changes across countries.
publishDate 2010
dc.date.none.fl_str_mv 2010-01-01T00:00:00Z
2010
2010-06
2013-01-28T18:28:16Z
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