Behavioral Biases in the Sustainability Framework: An Empirical Study

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dc.contributor.advisor Cruciani, Caterina it_IT
dc.contributor.author Villanova, Nicola <1999> it_IT
dc.date.accessioned 2024-02-19 it_IT
dc.date.accessioned 2024-05-08T13:29:29Z
dc.date.available 2024-05-08T13:29:29Z
dc.date.issued 2024-03-21 it_IT
dc.identifier.uri http://hdl.handle.net/10579/26756
dc.description.abstract The objective of this paper will be the study and the analysis of the impact of behavioral biases in the sustainable finance environment. In particular, the analysis will focus on the qualitative and quantitative effects of these biases on the financial operators and the impact in their financial decisions. In order to do that, there will be an introduction on the possible biases that affect investors' decisions and a careful description of the data that will be used; the latter will be a survey among retail clients about their knowledge, preferences, holding of sustainable instruments, relevance and impact in their asset allocation and asset management of ESG factors, and so on. One of the purposes of this paper will be to test the biases on the empirical data and find out if these biases are actually discovered and observed also in financial instruments concerning sustainable finance, since they are starting to become very important in financial decisions and investment strategies. it_IT
dc.language.iso en it_IT
dc.publisher Università Ca' Foscari Venezia it_IT
dc.rights © Nicola Villanova, 2024 it_IT
dc.title Behavioral Biases in the Sustainability Framework: An Empirical Study it_IT
dc.title.alternative Behavioral Biases in the Sustainability Framework: An Empirical Study 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 straordinaria it_IT
dc.rights.accessrights openAccess it_IT
dc.thesis.matricno 893731 it_IT
dc.subject.miur SECS-P/01 ECONOMIA POLITICA it_IT
dc.description.note it_IT
dc.degree.discipline it_IT
dc.contributor.co-advisor it_IT
dc.date.embargoend it_IT
dc.provenance.upload Nicola Villanova (893731@stud.unive.it), 2024-02-19 it_IT
dc.provenance.plagiarycheck Caterina Cruciani (cruciani@unive.it), 2024-03-04 it_IT


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