Passive, Active and Sentiment based mean-variance allocation

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dc.contributor.advisor Donadelli, Michael it_IT
dc.contributor.author Rizzolo, Carlo <1992> it_IT
dc.date.accessioned 2017-02-23 it_IT
dc.date.accessioned 2017-05-08T03:52:31Z
dc.date.available 2018-07-19T08:58:04Z
dc.date.issued 2017-03-21 it_IT
dc.identifier.uri http://hdl.handle.net/10579/10213
dc.description.abstract This thesis wants to concentrate on behavioral finance and in particular on the method used by investors to face the problem of risk and return in the capital market. The structure of the composition provides for the development of a theoretical analysis of the portfolio’s choice and of behavioral finance, in order to conduct a real empirical analysis of the model. Therefore, a portfolio of securities will be built, in which the performance is assessed with a passive management by applying Markowitz's portfolio theory at first, then with active management, and finally the impact of the behavioral finance theory will be analyzed on its efficiency, readjusting the allocation of securities in accordance with any speculative and earning opportunities that arise as a result of the agents’ mass behavior in the market. it_IT
dc.language.iso it_IT
dc.publisher Università Ca' Foscari Venezia it_IT
dc.rights © Carlo Rizzolo, 2017 it_IT
dc.title Passive, Active and Sentiment based mean-variance allocation it_IT
dc.title.alternative it_IT
dc.type Master's Degree Thesis it_IT
dc.degree.name Amministrazione, finanza e controllo it_IT
dc.degree.level Laurea magistrale it_IT
dc.degree.grantor Dipartimento di Management it_IT
dc.description.academicyear 2015/2016, sessione straordinaria it_IT
dc.rights.accessrights embargoedAccess it_IT
dc.thesis.matricno 857615 it_IT
dc.subject.miur it_IT
dc.description.note it_IT
dc.degree.discipline it_IT
dc.contributor.co-advisor it_IT
dc.provenance.upload Carlo Rizzolo (857615@stud.unive.it), 2017-02-23 it_IT
dc.provenance.plagiarycheck Michael Donadelli (donadelli.m@unive.it), 2017-03-06 it_IT


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