Equity research-Daimler AG

Detalhes bibliográficos
Autor(a) principal: Resende, Diogo Pontinha
Data de Publicação: 2020
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/105707
Resumo: The report aims to explain the methodology applied to predict the expected share price for Daimler AG at the end of 2020.For that purpose, the company’s strategy for the long term was considered in the valuation model. Moreover, a detailed industry overview was performed as well as a comprehensive study of the trends that will impact the automotive sector in the future, such as electric vehicles and autonomous driving. Using a Discounted Cash Flow (DCF) method, an investment recommendation was made, taking into consideration not only capital gains but also the dividend yield.
id RCAP_99700b99d7d590dfc794b5051e5a2565
oai_identifier_str oai:run.unl.pt:10362/105707
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Equity research-Daimler AGDaimlerAutomotiveMobilityValuationDomínio/Área Científica::Ciências Sociais::Economia e GestãoThe report aims to explain the methodology applied to predict the expected share price for Daimler AG at the end of 2020.For that purpose, the company’s strategy for the long term was considered in the valuation model. Moreover, a detailed industry overview was performed as well as a comprehensive study of the trends that will impact the automotive sector in the future, such as electric vehicles and autonomous driving. Using a Discounted Cash Flow (DCF) method, an investment recommendation was made, taking into consideration not only capital gains but also the dividend yield.Sá, Nuno Quartin Bastos de Vasconcelos eRUNResende, Diogo Pontinha2023-01-03T01:31:46Z2020-01-172020-01-032020-01-17T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/105707TID:202493989enginfo: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:RCAAP2024-03-11T04:50:57Zoai:run.unl.pt:10362/105707Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:40:34.568052Repositório 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 Equity research-Daimler AG
title Equity research-Daimler AG
spellingShingle Equity research-Daimler AG
Resende, Diogo Pontinha
Daimler
Automotive
Mobility
Valuation
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
title_short Equity research-Daimler AG
title_full Equity research-Daimler AG
title_fullStr Equity research-Daimler AG
title_full_unstemmed Equity research-Daimler AG
title_sort Equity research-Daimler AG
author Resende, Diogo Pontinha
author_facet Resende, Diogo Pontinha
author_role author
dc.contributor.none.fl_str_mv Sá, Nuno Quartin Bastos de Vasconcelos e
RUN
dc.contributor.author.fl_str_mv Resende, Diogo Pontinha
dc.subject.por.fl_str_mv Daimler
Automotive
Mobility
Valuation
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
topic Daimler
Automotive
Mobility
Valuation
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
description The report aims to explain the methodology applied to predict the expected share price for Daimler AG at the end of 2020.For that purpose, the company’s strategy for the long term was considered in the valuation model. Moreover, a detailed industry overview was performed as well as a comprehensive study of the trends that will impact the automotive sector in the future, such as electric vehicles and autonomous driving. Using a Discounted Cash Flow (DCF) method, an investment recommendation was made, taking into consideration not only capital gains but also the dividend yield.
publishDate 2020
dc.date.none.fl_str_mv 2020-01-17
2020-01-03
2020-01-17T00:00:00Z
2023-01-03T01:31:46Z
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/10362/105707
TID:202493989
url http://hdl.handle.net/10362/105707
identifier_str_mv TID:202493989
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_ 1799138020447748096