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| dc.contributor.advisor | Aliverti, Emanuele | it_IT |
| dc.contributor.author | Bellinzona, Silvia <1996> | it_IT |
| dc.date.accessioned | 2022-10-03 | it_IT |
| dc.date.accessioned | 2023-02-22T10:56:53Z | |
| dc.date.available | 2023-02-22T10:56:53Z | |
| dc.date.issued | 2022-10-26 | it_IT |
| dc.identifier.uri | http://hdl.handle.net/10579/22305 | |
| dc.description.abstract | This study aims to analyze the relationship between cryptocurrencies and carbon dioxide emissions. The research was conducted by providing an initial background on the context of cryptocurrencies and emissions, then moving on to the theoretical explanation of univariate models and later to the part concerning the multivariate model: Vector AutoRegressive process. Finally, the data, results, and related conclusions are presented. | it_IT |
| dc.language.iso | en | it_IT |
| dc.publisher | Università Ca' Foscari Venezia | it_IT |
| dc.rights | © Silvia Bellinzona, 2022 | it_IT |
| dc.title | A multivariate analysis to discover the relation between cryptocurrencies and CO2 emissions | it_IT |
| dc.title.alternative | A multivariate analysis to discover the relation between cryptocurrencies and CO2 emissions | 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 | 2021-2022_appello_171022 | it_IT |
| dc.rights.accessrights | openAccess | it_IT |
| dc.thesis.matricno | 989300 | it_IT |
| dc.subject.miur | SECS-S/03 STATISTICA ECONOMICA | 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 | Silvia Bellinzona (989300@stud.unive.it), 2022-10-03 | it_IT |
| dc.provenance.plagiarycheck | Emanuele Aliverti (emanuele.aliverti@unive.it), 2022-10-17 | it_IT |
