Network Connectedness Analysis on European Corporate and Government Bonds: reading through latest global financial crises

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dc.contributor.advisor Berardi, Andrea it_IT
dc.contributor.author Santarlasci, Lapo <1995> it_IT
dc.date.accessioned 2021-04-12 it_IT
dc.date.accessioned 2021-07-21T08:05:07Z
dc.date.available 2021-07-21T08:05:07Z
dc.date.issued 2021-04-26 it_IT
dc.identifier.uri http://hdl.handle.net/10579/19230
dc.description.abstract Analysis on a sample of European corporate and government bonds. Study of geographic interconnections by modeling individual securities Yield to Maturity time series (bonds with homogeneous maturities), in order to define a network structure from which to derive market behavior drivers and crisis signals. Focus on the latest global crises, including the most recent from the spread of the Covid-19 virus. Main use of Forecast Error Variance Decomposition for the derivation of interconnection measures. Data collected through Bloomberg data providers, and modeled by applying R programming techniques, graphics and figures produced using the same techniques through the use of dedicated open source functional libraries. it_IT
dc.language.iso en it_IT
dc.publisher Università Ca' Foscari Venezia it_IT
dc.rights © Lapo Santarlasci, 2021 it_IT
dc.title Network Connectedness Analysis on European Corporate and Government Bonds: reading through latest global financial crises it_IT
dc.title.alternative Network Connectedness Analysis on European Corporate and Government Bonds 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 straordinaria LM it_IT
dc.rights.accessrights openAccess it_IT
dc.thesis.matricno 877686 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 it_IT
dc.provenance.upload Lapo Santarlasci (877686@stud.unive.it), 2021-04-12 it_IT
dc.provenance.plagiarycheck Andrea Berardi (andrea.berardi@unive.it), 2021-04-26 it_IT


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