Esg integration in multi factor models

Detalhes bibliográficos
Autor(a) principal: Cutolo, Christopher
Data de Publicação: 2021
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/133370
Resumo: Over the last years ESG has become one of the major trends within the financial world. Investors are expressing more interest in environmental, social and governance issues and experts are routinely integrating sustainability considerations when building portfolios. Several studies have been conducted and papers have been published trying to analyze ESG’s integration into the asset management world. Results show lack of uniformity and coherence when it comes to understanding the impact of socially responsible investments. We construct factor mimicking portfolios based on E, S and G scores to study the relationship between sustainability and financial performance in the American market. The results show that long short portfolios constructed in this fashion display negative returns over the period that spans from July 2002 until June 2020. This is mainly because of the significant positive returns of stocks with low sustainability scores. Moreover, regression analyses are conducted using the classic Fama Mac Beth procedure (1973), implementing the Newey West correction to account for heteroskedasticity and autocorrelation. Incorporating both the Fama- French five factor model and other control variables, ambiguous and mainly insignificant results are obtained
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spelling Esg integration in multi factor modelsAsset pricingESGFactor modelsFama MacBeth procedureDomínio/Área Científica::Ciências Sociais::Economia e GestãoOver the last years ESG has become one of the major trends within the financial world. Investors are expressing more interest in environmental, social and governance issues and experts are routinely integrating sustainability considerations when building portfolios. Several studies have been conducted and papers have been published trying to analyze ESG’s integration into the asset management world. Results show lack of uniformity and coherence when it comes to understanding the impact of socially responsible investments. We construct factor mimicking portfolios based on E, S and G scores to study the relationship between sustainability and financial performance in the American market. The results show that long short portfolios constructed in this fashion display negative returns over the period that spans from July 2002 until June 2020. This is mainly because of the significant positive returns of stocks with low sustainability scores. Moreover, regression analyses are conducted using the classic Fama Mac Beth procedure (1973), implementing the Newey West correction to account for heteroskedasticity and autocorrelation. Incorporating both the Fama- French five factor model and other control variables, ambiguous and mainly insignificant results are obtainedRizzo, Antonino EmanueleRUNCutolo, Christopher2021-06-292021-05-192024-05-19T00:00:00Z2021-06-29T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/133370TID:202769682enginfo:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:12:00Zoai:run.unl.pt:10362/133370Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:47:46.920199Repositório 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 Esg integration in multi factor models
title Esg integration in multi factor models
spellingShingle Esg integration in multi factor models
Cutolo, Christopher
Asset pricing
ESG
Factor models
Fama MacBeth procedure
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
title_short Esg integration in multi factor models
title_full Esg integration in multi factor models
title_fullStr Esg integration in multi factor models
title_full_unstemmed Esg integration in multi factor models
title_sort Esg integration in multi factor models
author Cutolo, Christopher
author_facet Cutolo, Christopher
author_role author
dc.contributor.none.fl_str_mv Rizzo, Antonino Emanuele
RUN
dc.contributor.author.fl_str_mv Cutolo, Christopher
dc.subject.por.fl_str_mv Asset pricing
ESG
Factor models
Fama MacBeth procedure
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
topic Asset pricing
ESG
Factor models
Fama MacBeth procedure
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
description Over the last years ESG has become one of the major trends within the financial world. Investors are expressing more interest in environmental, social and governance issues and experts are routinely integrating sustainability considerations when building portfolios. Several studies have been conducted and papers have been published trying to analyze ESG’s integration into the asset management world. Results show lack of uniformity and coherence when it comes to understanding the impact of socially responsible investments. We construct factor mimicking portfolios based on E, S and G scores to study the relationship between sustainability and financial performance in the American market. The results show that long short portfolios constructed in this fashion display negative returns over the period that spans from July 2002 until June 2020. This is mainly because of the significant positive returns of stocks with low sustainability scores. Moreover, regression analyses are conducted using the classic Fama Mac Beth procedure (1973), implementing the Newey West correction to account for heteroskedasticity and autocorrelation. Incorporating both the Fama- French five factor model and other control variables, ambiguous and mainly insignificant results are obtained
publishDate 2021
dc.date.none.fl_str_mv 2021-06-29
2021-05-19
2021-06-29T00:00:00Z
2024-05-19T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/133370
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dc.language.iso.fl_str_mv eng
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instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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