The performance of dominant companies : portfolio performance evaluation
Autor(a) principal: | |
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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/10400.14/31878 |
Resumo: | Several studies look at the relationship between market share and rate of return, but there isn’t a consensus about the topic. I studied the particular case of companies that dominate their sector, with the goal of discovering if they outperformed the market. If these companies actually performed better than the market, I would have discovered a good investment strategy. I used OLS regression and Newey-West standard errors to find out the abnormal returns of the portfolios of dominant companies I constructed. The results using OLS regression were, in general, statistically non-significant, which indicated that investing in dominant companies doesn’t seem to be a good investment strategy, as it doesn’t have any advantage when compared to investing in the market. However, I obtained significant results by using Newey-West standard errors. The alphas’ estimations were positive, but very low, indicating that investing in dominant companies is only slightly better than investing in the market portfolio. Nevertheless, I think it is important to conduct more studies about this matter, as it is possible to obtain a better sample and look at the problem from various angles. |
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The performance of dominant companies : portfolio performance evaluationPortfolio evaluationDominant companiesMarket shareUnited KingdomAvaliação de portfoliosEmpresas dominantesQuota de mercadoReino UnidoDomínio/Área Científica::Ciências Sociais::Economia e GestãoSeveral studies look at the relationship between market share and rate of return, but there isn’t a consensus about the topic. I studied the particular case of companies that dominate their sector, with the goal of discovering if they outperformed the market. If these companies actually performed better than the market, I would have discovered a good investment strategy. I used OLS regression and Newey-West standard errors to find out the abnormal returns of the portfolios of dominant companies I constructed. The results using OLS regression were, in general, statistically non-significant, which indicated that investing in dominant companies doesn’t seem to be a good investment strategy, as it doesn’t have any advantage when compared to investing in the market. However, I obtained significant results by using Newey-West standard errors. The alphas’ estimations were positive, but very low, indicating that investing in dominant companies is only slightly better than investing in the market portfolio. Nevertheless, I think it is important to conduct more studies about this matter, as it is possible to obtain a better sample and look at the problem from various angles.Vários estudos analisam a relação entre quota de mercado e taxa de retorno, mas não há um consenso neste tópico. Eu estudei o caso particular das empresas que dominam o seu setor, com o objetivo de descobrir se teriam uma melhor performance do que o mercado. Se de facto essas empresas tivessem uma melhor performance do que o mercado, teria descoberto uma boa estratégia de investimento. Usei uma regressão OLS e desvios padrão de Newey-West para descobrir os retornos anormais dos portfolios de empresas dominantes que eu construí. Os resultados obtidos através de regressão OLS não eram significativos, o que indica que investir em empresas dominantes não seria uma boa estratégia de investimento, visto que não apresenta nenhuma vantagem em relação a investir no mercado. No entanto, obtive resultados com significância estatística ao utilizar desvios padrão de Newey-West. As estimativas dos alfas eram positivas, mas muito baixas, o que indica que investir em empresas dominantes é apenas ligeiramente melhor do que investir no portfolio de mercado. Ainda assim, acho que é importante realizar mais estudos sobre este tópico, uma vez que é possível obter uma melhor amostra e tratar o problema de vários ângulos.Alves, Paulo Alexandre PimentaVeritati - Repositório Institucional da Universidade Católica PortuguesaGandra, Ana Filipa Neto2021-02-03T12:42:20Z2020-07-0720202020-07-07T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10400.14/31878TID:202560937enginfo: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:RCAAP2023-07-12T17:37:18Zoai:repositorio.ucp.pt:10400.14/31878Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T18:25:38.626281Repositório 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 performance of dominant companies : portfolio performance evaluation |
title |
The performance of dominant companies : portfolio performance evaluation |
spellingShingle |
The performance of dominant companies : portfolio performance evaluation Gandra, Ana Filipa Neto Portfolio evaluation Dominant companies Market share United Kingdom Avaliação de portfolios Empresas dominantes Quota de mercado Reino Unido Domínio/Área Científica::Ciências Sociais::Economia e Gestão |
title_short |
The performance of dominant companies : portfolio performance evaluation |
title_full |
The performance of dominant companies : portfolio performance evaluation |
title_fullStr |
The performance of dominant companies : portfolio performance evaluation |
title_full_unstemmed |
The performance of dominant companies : portfolio performance evaluation |
title_sort |
The performance of dominant companies : portfolio performance evaluation |
author |
Gandra, Ana Filipa Neto |
author_facet |
Gandra, Ana Filipa Neto |
author_role |
author |
dc.contributor.none.fl_str_mv |
Alves, Paulo Alexandre Pimenta Veritati - Repositório Institucional da Universidade Católica Portuguesa |
dc.contributor.author.fl_str_mv |
Gandra, Ana Filipa Neto |
dc.subject.por.fl_str_mv |
Portfolio evaluation Dominant companies Market share United Kingdom Avaliação de portfolios Empresas dominantes Quota de mercado Reino Unido Domínio/Área Científica::Ciências Sociais::Economia e Gestão |
topic |
Portfolio evaluation Dominant companies Market share United Kingdom Avaliação de portfolios Empresas dominantes Quota de mercado Reino Unido Domínio/Área Científica::Ciências Sociais::Economia e Gestão |
description |
Several studies look at the relationship between market share and rate of return, but there isn’t a consensus about the topic. I studied the particular case of companies that dominate their sector, with the goal of discovering if they outperformed the market. If these companies actually performed better than the market, I would have discovered a good investment strategy. I used OLS regression and Newey-West standard errors to find out the abnormal returns of the portfolios of dominant companies I constructed. The results using OLS regression were, in general, statistically non-significant, which indicated that investing in dominant companies doesn’t seem to be a good investment strategy, as it doesn’t have any advantage when compared to investing in the market. However, I obtained significant results by using Newey-West standard errors. The alphas’ estimations were positive, but very low, indicating that investing in dominant companies is only slightly better than investing in the market portfolio. Nevertheless, I think it is important to conduct more studies about this matter, as it is possible to obtain a better sample and look at the problem from various angles. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-07-07 2020 2020-07-07T00:00:00Z 2021-02-03T12:42:20Z |
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/10400.14/31878 TID:202560937 |
url |
http://hdl.handle.net/10400.14/31878 |
identifier_str_mv |
TID:202560937 |
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 |
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1799131971207561216 |