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 |