The performance of dominant companies : portfolio performance evaluation

Detalhes bibliográficos
Autor(a) principal: Gandra, Ana Filipa Neto
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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spelling 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
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.14/31878
TID:202560937
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identifier_str_mv TID:202560937
dc.language.iso.fl_str_mv eng
language eng
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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)
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