Portfolio Insurance: Explanation and comparison of the most popular strategies

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dc.contributor.advisor Corazza, Marco it_IT
dc.contributor.author Sacchi, Giacomo <1989> it_IT
dc.date.accessioned 2016-06-15 it_IT
dc.date.accessioned 2016-10-07T07:59:35Z
dc.date.issued 2016-07-01 it_IT
dc.identifier.uri http://hdl.handle.net/10579/8697
dc.description.abstract This study aims to introduce and make a comparison between the most popular strategies of portfolio insurance. After an initial introduction about the birth and evolution during the years of the portolio insurance practice this work will explain under the mathematical point of view the laws that lead the OBPI, CPPI, Buy-and-Hold and Constant Mix strategies. The last part with the use of matlab and the Monte Carlo simulation wants to examine three strategies (OBPI, CPPI, SLPI) taking in consideration the moments of the distribution, performance ratios and the stochastic dominance in different conditions of the market and considering an underlying asset that follows a Brownian motion, at the end the strategies will be applied to three different stock indices to understand the real effects and situations in financial markets. My work studies the possible best decision for a manager or an investor that want to invest using a portfolio insurance strategy. it_IT
dc.language.iso it_IT
dc.publisher Università Ca' Foscari Venezia it_IT
dc.rights © Giacomo Sacchi, 2016 it_IT
dc.title Portfolio Insurance: Explanation and comparison of the most popular strategies it_IT
dc.title.alternative 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 2015/2016, sessione estiva it_IT
dc.rights.accessrights closedAccess it_IT
dc.thesis.matricno 850792 it_IT
dc.subject.miur 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 Giacomo Sacchi (850792@stud.unive.it), 2016-06-15 it_IT
dc.provenance.plagiarycheck Marco Corazza (corazza@unive.it), 2016-06-27 it_IT


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