Scenario analysis different paths spotify may take

Detalhes bibliográficos
Autor(a) principal: Silva, Francisco Maria Koehler Monteiro Da
Data de Publicação: 2019
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/106054
Resumo: The report consists in the implementation of a scenario analysis to understand the different paths the world economy may take which might impact differently. First, a macroeconomic outlook was made in order to grasp recent events and their impact in the world. Then, it was identified US-China trade war as the main source of uncertainty in the world and two possible evolutions for this risk. The conclusion is that, in a negative scenario, Spotify’s expected price is $127andexpected return is -15.3%. In the positive scenario, Spotify’s expected price is $219 and expected return is45.7%.
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spelling Scenario analysis different paths spotify may takeTrade warRecessionEconomic cycleSpotifyDomínio/Área Científica::Ciências Sociais::Economia e GestãoThe report consists in the implementation of a scenario analysis to understand the different paths the world economy may take which might impact differently. First, a macroeconomic outlook was made in order to grasp recent events and their impact in the world. Then, it was identified US-China trade war as the main source of uncertainty in the world and two possible evolutions for this risk. The conclusion is that, in a negative scenario, Spotify’s expected price is $127andexpected return is -15.3%. In the positive scenario, Spotify’s expected price is $219 and expected return is45.7%.Martins, FranciscoRUNSilva, Francisco Maria Koehler Monteiro Da2020-10-22T14:39:30Z2020-01-162019-01-032020-01-16T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/106054TID:202495108enginfo: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:RCAAP2024-03-11T04:51:18Zoai:run.unl.pt:10362/106054Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:40:40.582421Repositório 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 Scenario analysis different paths spotify may take
title Scenario analysis different paths spotify may take
spellingShingle Scenario analysis different paths spotify may take
Silva, Francisco Maria Koehler Monteiro Da
Trade war
Recession
Economic cycle
Spotify
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
title_short Scenario analysis different paths spotify may take
title_full Scenario analysis different paths spotify may take
title_fullStr Scenario analysis different paths spotify may take
title_full_unstemmed Scenario analysis different paths spotify may take
title_sort Scenario analysis different paths spotify may take
author Silva, Francisco Maria Koehler Monteiro Da
author_facet Silva, Francisco Maria Koehler Monteiro Da
author_role author
dc.contributor.none.fl_str_mv Martins, Francisco
RUN
dc.contributor.author.fl_str_mv Silva, Francisco Maria Koehler Monteiro Da
dc.subject.por.fl_str_mv Trade war
Recession
Economic cycle
Spotify
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
topic Trade war
Recession
Economic cycle
Spotify
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
description The report consists in the implementation of a scenario analysis to understand the different paths the world economy may take which might impact differently. First, a macroeconomic outlook was made in order to grasp recent events and their impact in the world. Then, it was identified US-China trade war as the main source of uncertainty in the world and two possible evolutions for this risk. The conclusion is that, in a negative scenario, Spotify’s expected price is $127andexpected return is -15.3%. In the positive scenario, Spotify’s expected price is $219 and expected return is45.7%.
publishDate 2019
dc.date.none.fl_str_mv 2019-01-03
2020-10-22T14:39:30Z
2020-01-16
2020-01-16T00:00:00Z
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/10362/106054
TID:202495108
url http://hdl.handle.net/10362/106054
identifier_str_mv TID:202495108
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
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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
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