Stochastic models for time series momentum

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dc.contributor.advisor Angelini, Giovanni it_IT
dc.contributor.author Gjinaj, Melsi <1988> it_IT
dc.date.accessioned 2020-07-13 it_IT
dc.date.accessioned 2020-09-24T12:02:03Z
dc.date.issued 2020-07-28 it_IT
dc.identifier.uri http://hdl.handle.net/10579/17585
dc.description.abstract This thesis examines the performance of the trend-following strategies known as absolute momentum strategies. In particular, I will examine the “Times-series momentum” strategy. First, I will investigate, analyzing different asset classes, if this strategy is still persistent in today’s market. Second, the portfolio strategy will be tested looking at different lookback periods and testing for different predictability horizons in order to investigate if there is a different and time-varying predictability horizon across the asset classes. it_IT
dc.language.iso en it_IT
dc.publisher Università Ca' Foscari Venezia it_IT
dc.rights © Melsi Gjinaj, 2020 it_IT
dc.title Stochastic models for time series momentum it_IT
dc.title.alternative Time Series Momentum 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 2019/2020 - Sessione Estiva it_IT
dc.rights.accessrights closedAccess it_IT
dc.thesis.matricno 856898 it_IT
dc.subject.miur SECS-P/05 ECONOMETRIA 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 Melsi Gjinaj (856898@stud.unive.it), 2020-07-13 it_IT
dc.provenance.plagiarycheck Giovanni Angelini (giovanni.angelini@unive.it), 2020-07-27 it_IT


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