Portfolios with high and low ESG scores and their performance during different market phases

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dc.contributor.advisor Billio, Monica it_IT
dc.contributor.author Mezini, Flavio <1993> it_IT
dc.date.accessioned 2022-02-19 it_IT
dc.date.accessioned 2022-06-22T07:59:34Z
dc.date.issued 2022-04-01 it_IT
dc.identifier.uri http://hdl.handle.net/10579/21245
dc.description.abstract In recent years the ESG (Environmental, Social, Governance) theme has gained relevance as society gained a renewed interest in several areas of it. This change has also affected the way in which portfolios, but more in general, investments are made. In this study we start by providing a general overview of the ESG field, meaning: an assessment of the different types of sustainable investing, a review of the role of rating agencies in relation to ESG investing and the contrast between sustainable investing and sin stocks. After reviewing the different methods of ESG portfolio construction we than built eight different portfolios each one containing 50 different stocks from the S&P 500 index: one with low Environmental score, one with high Environmental score, one with low Social score, one with high Social score, one with low Governance score, one with high Governance score, one with low ESG score and one with high ESG score. We finally review the different types of instruments that can be used to assess systematic risk and by using a quantile regression, we determine how our high E,S,G, and ESG portfolios behave in respect to low E,S,G and ESG ones during different market phases. it_IT
dc.language.iso en it_IT
dc.publisher Università Ca' Foscari Venezia it_IT
dc.rights © Flavio Mezini, 2022 it_IT
dc.title Portfolios with high and low ESG scores and their performance during different market phases it_IT
dc.title.alternative Portfolios with high and low ESG scores and their performance during different market phases 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 2020/2021 - sessione straordinaria - 7 marzo 2022 it_IT
dc.rights.accessrights closedAccess it_IT
dc.thesis.matricno 882489 it_IT
dc.subject.miur SECS-S/06 METODI MATEMATICI DELL'ECONOMIA E DELLE SCIENZE ATTUARIALI E FINANZIARIE it_IT
dc.description.note it_IT
dc.degree.discipline it_IT
dc.contributor.co-advisor it_IT
dc.date.embargoend 10000-01-01
dc.provenance.upload Flavio Mezini (882489@stud.unive.it), 2022-02-19 it_IT
dc.provenance.plagiarycheck Monica Billio (billio@unive.it), 2022-03-07 it_IT


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