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The Impact of Carbon Emissions on Low-Carbon Investment Performance: Evidence From International Carbon Indexes

datacite.subject.fosCiências Naturais::Ciências da Computação e da Informaçãopt_PT
dc.contributor.advisorAshofteh, Afshin
dc.contributor.authorSantos, Carolina Isabel Fonseca
dc.date.accessioned2024-10-25T11:45:48Z
dc.date.embargo2027-10-21
dc.date.issued2024-10-21
dc.descriptionDissertation presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Risk Analysis and Managementpt_PT
dc.description.abstractIn recent years, climate change has emerged as one of the main global environmental, social, and economic threats. The rise in the Earth's average temperature is causing species extinctions and extreme weather events such as droughts and floods. As a result, there is growing interest in understanding how climate risks affect investment portfolios. The purpose of this dissertation is to enhance investors' understanding of how climate change affects investment returns. Specifically, we determined whether low-carbon indexes present superior risk-adjusted returns compared to carbon-intensive indexes in the USA and Europe regions, considering the risk factors of the Jensen's Alpha, Carhart's Four-Factor Model, Fama and French's Five-Factor Models and the Fama-French 5 Factor Model with the addition of the Volatility factor. This study aims to contribute to the finance field by offering thorough analyses that can guide investors in making decisions related to climate change and financial sustainability. By analysing the carbon emissions of low-carbon indexes and comparing them with their returns, we investigate if indexes with lower emissions achieve better returns than those with higher emissions. For this analysis, we selected ten low-carbon indexes and four carbon-intensive indexes from the USA and Europe. We started with an intensive literature review to adjust our research questions, and then we conduct the analytical part of the thesis by employing Jensen’s Alpha Model, Carhart's Four-Factor Model, Fama and French's FiveFactor Model and an extension of Fama and French's Five-Factor Model adding a Volatility factor to control for potential variations in risk exposure between the portfolios. The results of our study show that investing in low-carbon indexes in the USA can potentially offer more stable returns, even if they are lower than the S&P500 market and support a less volatility strategy. There is similarity with the European market since investing in companies with a lower carbon footprint in Europe may not bring consistently higher returns, either when comparing portfolios to the market indexes used. However, the results indicate that equallyweighted portfolios have lower volatility and less sensitivity to market changes, which can be beneficial for investors who are looking to reduce risk and minimise exposure to financial losses. Finally, sufficient evidence indicated that the inclusion of the volatility factor had a substantial impact on the model results and on the dispersion of portfolio returns, improving the accuracy and effectiveness of the models in analysing low-carbon and carbon-intensive portfolios.pt_PT
dc.identifier.tid203776178pt_PT
dc.identifier.urihttp://hdl.handle.net/10362/174041
dc.language.isoengpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectCarbon Emissionspt_PT
dc.subjectLow-carbonpt_PT
dc.subjectFinancial Returnpt_PT
dc.subjectRiskpt_PT
dc.subjectCarbon Footprintpt_PT
dc.subjectCarbon-intensivept_PT
dc.subjectEnvironment Economicspt_PT
dc.subjectSustainable Developmentpt_PT
dc.subjectSDG 7 - Affordable and clean energypt_PT
dc.subjectSDG 12 - Responsible production and consumptionpt_PT
dc.subjectSDG 13 - Climate actionpt_PT
dc.titleThe Impact of Carbon Emissions on Low-Carbon Investment Performance: Evidence From International Carbon Indexespt_PT
dc.typemaster thesis
dspace.entity.typePublication
rcaap.rightsembargoedAccesspt_PT
rcaap.typemasterThesispt_PT
thesis.degree.nameMestrado em Mestrado em Estatística e Gestão de Informação, especialização em Análise e Gestão de Riscopt_PT

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