Short-term forecasting of the portuguese economy

Detalhes bibliográficos
Autor(a) principal: Leal, João Miguel Agra Vasconcelos
Data de Publicação: 2013
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.14/17258
Resumo: This Dissertation focuses on exploring Dynamic Factor Models methodologies allowing for an e ccient and reliable forecast of Quarterly real GDP growth rates on a timely maner. Alternative forecasting models will be described, together with the most recent litterature focusing on the ex- perience of the European Monetary Union (EMU), Spain and Portugal. The accuracy of the created Dynamic Factor Model will be compared with the Portuguese Statistical O ce preliminary announce- ment, 45 days after the end of the reference quarter. The nature of the economic variables to be used, their timeliness and the weight given by the model to their information content are analyzed, in the search for undoing the black box character of factor models. A wide range of future developments are identi ed while acquiring the understanding that a Forecaster will always have to deal with open questions.
id RCAP_6849164183f30e2360c743f72559f73f
oai_identifier_str oai:repositorio.ucp.pt:10400.14/17258
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Short-term forecasting of the portuguese economyDomínio/Área Científica::Ciências Sociais::Economia e GestãoThis Dissertation focuses on exploring Dynamic Factor Models methodologies allowing for an e ccient and reliable forecast of Quarterly real GDP growth rates on a timely maner. Alternative forecasting models will be described, together with the most recent litterature focusing on the ex- perience of the European Monetary Union (EMU), Spain and Portugal. The accuracy of the created Dynamic Factor Model will be compared with the Portuguese Statistical O ce preliminary announce- ment, 45 days after the end of the reference quarter. The nature of the economic variables to be used, their timeliness and the weight given by the model to their information content are analyzed, in the search for undoing the black box character of factor models. A wide range of future developments are identi ed while acquiring the understanding that a Forecaster will always have to deal with open questions.Sousa, João MiguelVeritati - Repositório Institucional da Universidade Católica PortuguesaLeal, João Miguel Agra Vasconcelos2015-04-21T10:29:59Z2014-03-2920132014-03-29T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10400.14/17258TID:201103290enginfo: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:RCAAP2023-11-14T01:35:35Zoai:repositorio.ucp.pt:10400.14/17258Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T18:14:27.921878Repositório 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 Short-term forecasting of the portuguese economy
title Short-term forecasting of the portuguese economy
spellingShingle Short-term forecasting of the portuguese economy
Leal, João Miguel Agra Vasconcelos
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
title_short Short-term forecasting of the portuguese economy
title_full Short-term forecasting of the portuguese economy
title_fullStr Short-term forecasting of the portuguese economy
title_full_unstemmed Short-term forecasting of the portuguese economy
title_sort Short-term forecasting of the portuguese economy
author Leal, João Miguel Agra Vasconcelos
author_facet Leal, João Miguel Agra Vasconcelos
author_role author
dc.contributor.none.fl_str_mv Sousa, João Miguel
Veritati - Repositório Institucional da Universidade Católica Portuguesa
dc.contributor.author.fl_str_mv Leal, João Miguel Agra Vasconcelos
dc.subject.por.fl_str_mv Domínio/Área Científica::Ciências Sociais::Economia e Gestão
topic Domínio/Área Científica::Ciências Sociais::Economia e Gestão
description This Dissertation focuses on exploring Dynamic Factor Models methodologies allowing for an e ccient and reliable forecast of Quarterly real GDP growth rates on a timely maner. Alternative forecasting models will be described, together with the most recent litterature focusing on the ex- perience of the European Monetary Union (EMU), Spain and Portugal. The accuracy of the created Dynamic Factor Model will be compared with the Portuguese Statistical O ce preliminary announce- ment, 45 days after the end of the reference quarter. The nature of the economic variables to be used, their timeliness and the weight given by the model to their information content are analyzed, in the search for undoing the black box character of factor models. A wide range of future developments are identi ed while acquiring the understanding that a Forecaster will always have to deal with open questions.
publishDate 2013
dc.date.none.fl_str_mv 2013
2014-03-29
2014-03-29T00:00:00Z
2015-04-21T10:29:59Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.14/17258
TID:201103290
url http://hdl.handle.net/10400.14/17258
identifier_str_mv TID:201103290
dc.language.iso.fl_str_mv eng
language eng
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.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_ 1799131823083618305