Causal relationships between Environmental, Social and Governance (ESG) ratings and portfolio allocation: A network analysis approach

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dc.contributor.advisor Casarin, Roberto it_IT
dc.contributor.author Harrison, Benjamin Owusu <1997> it_IT
dc.date.accessioned 2023-06-18 it_IT
dc.date.accessioned 2023-11-08T14:56:00Z
dc.date.available 2023-11-08T14:56:00Z
dc.date.issued 2023-07-10 it_IT
dc.identifier.uri http://hdl.handle.net/10579/24338
dc.description.abstract This study aims to investigate the causal relationship between environmental, social, and governance (ESG) ratings, portfolio performance, and risk, using a network analysis approach. Specifically, we will use correlation and pairwise Granger causality to construct the network, which will capture the interrelationships between the ESG components and their relationship with portfolio returns and risk. The dataset will consist of ESG ratings, portfolio returns, and risk for a sample of companies over a specific period. We will use network analysis techniques to identify the key nodes and edges in the network, as well as community detection algorithms to identify groups of nodes that are tightly connected to each other. This study is expected to provide valuable insights into the drivers of investment performance and risk from an ESG perspective, and inform investment decisions based on these factors. it_IT
dc.language.iso en it_IT
dc.publisher Università Ca' Foscari Venezia it_IT
dc.rights © Benjamin Owusu Harrison, 2023 it_IT
dc.title Causal relationships between Environmental, Social and Governance (ESG) ratings and portfolio allocation: A network analysis approach it_IT
dc.title.alternative ESG ratings and Portfolio Selection: A network approach it_IT
dc.type Master's Degree Thesis it_IT
dc.degree.name Economia e finanza it_IT
dc.degree.level Laurea magistrale it_IT
dc.degree.grantor Dipartimento di Economia it_IT
dc.description.academicyear 2022/2023_sessione estiva_10-luglio-23 it_IT
dc.rights.accessrights openAccess it_IT
dc.thesis.matricno 892405 it_IT
dc.subject.miur SECS-P/11 ECONOMIA DEGLI INTERMEDIARI FINANZIARI it_IT
dc.description.note This thesis explores the role of Environmental, Social, and Corporate Governance (ESG) ratings in portfolio selection and investigates the connectivity patterns of institutions based on ESG classes. The study addresses the gap in understanding the relationship between ESG ratings and stock returns/volatility. ESG scores are extracted from Bloomberg, categorizing companies into four ESG classes. The thesis employs a multilayer network analysis and constructs different investment strategies. The findings suggest that ESG scores play a limited role in connectivity patterns in the volatility network. The relevance of ESG scores in portfolio selection depends on the complexity of the network structure and the investor's risk tolerance. The proposed ESG portfolio strategies underperform compared to traditional Markowitz. This thesis contributes to understanding the complexities and trade-offs involved in incorporating ESG information in investment decision-making. it_IT
dc.degree.discipline it_IT
dc.contributor.co-advisor it_IT
dc.date.embargoend it_IT
dc.provenance.upload Benjamin Owusu Harrison (892405@stud.unive.it), 2023-06-18 it_IT
dc.provenance.plagiarycheck None it_IT


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