From model-based to model-free implied volatilities: the VIX index and the new volatility derivatives

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dc.contributor.advisor Nardon, Martina it_IT
dc.contributor.author Fadone, Luca <1991> it_IT
dc.date.accessioned 2017-02-23 it_IT
dc.date.accessioned 2017-05-08T03:51:04Z
dc.date.available 2018-07-19T08:57:55Z
dc.date.issued 2017-03-20 it_IT
dc.identifier.uri http://hdl.handle.net/10579/10115
dc.description.abstract The aim of the work is to study volatility. It will consider the development of new models and methodologies for the measurement, forecasting and hedging the volatility risk. In particular, it will start from model-based approaches, then considering model-free approaches and volatility indexes. The focus of the work is on the CBOE VIX index, which provides an effective measure of the S&P500 implied volatility. As a further aim, we intend to study investment strategies involving derivatives based on the VIX index. These strategies are constructed both to hedge traditional portfolios and to speculate on the volatility. it_IT
dc.language.iso it_IT
dc.publisher Università Ca' Foscari Venezia it_IT
dc.rights © Luca Fadone, 2017 it_IT
dc.title From model-based to model-free implied volatilities: the VIX index and the new volatility derivatives 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 straordinaria it_IT
dc.rights.accessrights closedAccess it_IT
dc.thesis.matricno 855605 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 Luca Fadone (855605@stud.unive.it), 2017-02-23 it_IT
dc.provenance.plagiarycheck Martina Nardon (mnardon@unive.it), 2017-03-06 it_IT


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