The Black-Litterman model: an application for strategic asset allocation

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dc.contributor.advisor Barro, Diana it_IT
dc.contributor.author Buoso, Edoardo <1991> it_IT
dc.date.accessioned 2018-10-08 it_IT
dc.date.accessioned 2019-02-19T15:11:26Z
dc.date.issued 2018-11-07 it_IT
dc.identifier.uri http://hdl.handle.net/10579/13505
dc.description.abstract The Black-Litterman model is a method to construct a well-diversified portfolio of financial assets consistently with manager’s views, in the attempt to outperform the market. In the context of mean-variance analysis as well as efficient market hypothesis, both portfolio diversification techniques and economic outlooks lead the development of different ways to approach financial markets for investment purposes. This thesis aims to show the rationale of the Black-Litterman model and how it may be employed to run a strategic asset allocation, in accordance with some fundamental measures to value stock prices. In other words how it can exploit the Dividend Discount Model to invest in the stock market for the middle-long term. it_IT
dc.language.iso en it_IT
dc.publisher Università Ca' Foscari Venezia it_IT
dc.rights © Edoardo Buoso, 2018 it_IT
dc.title The Black-Litterman model: an application for strategic asset allocation it_IT
dc.title.alternative The Black-Litterman Model: An Application for Strategic Asset Allocation it_IT
dc.type Master's Degree Thesis it_IT
dc.degree.name Economia e finanza - economics and finance it_IT
dc.degree.level Laurea magistrale it_IT
dc.degree.grantor Dipartimento di Economia it_IT
dc.description.academicyear 2017/2018, lauree sessione autunnale it_IT
dc.rights.accessrights closedAccess it_IT
dc.thesis.matricno 836578 it_IT
dc.subject.miur SECS-P/11 ECONOMIA DEGLI INTERMEDIARI FINANZIARI 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 Edoardo Buoso (836578@stud.unive.it), 2018-10-08 it_IT
dc.provenance.plagiarycheck Diana Barro (d.barro@unive.it), 2018-10-22 it_IT


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