Publicação
Scenario analysis different paths spotify may take
| datacite.subject.fos | Ciências Sociais::Economia e Gestão | pt_PT |
| dc.contributor.advisor | Martins, Francisco | |
| dc.contributor.author | Silva, Francisco Maria Koehler Monteiro Da | |
| dc.date.accessioned | 2020-10-22T14:39:30Z | |
| dc.date.available | 2020-10-22T14:39:30Z | |
| dc.date.issued | 2020-01-16 | |
| dc.date.submitted | 2019-01-03 | |
| dc.description.abstract | The report consists in the implementation of a scenario analysis to understand the different paths the world economy may take which might impact differently. First, a macroeconomic outlook was made in order to grasp recent events and their impact in the world. Then, it was identified US-China trade war as the main source of uncertainty in the world and two possible evolutions for this risk. The conclusion is that, in a negative scenario, Spotify’s expected price is $127andexpected return is -15.3%. In the positive scenario, Spotify’s expected price is $219 and expected return is45.7%. | pt_PT |
| dc.identifier.tid | 202495108 | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10362/106054 | |
| dc.language.iso | eng | pt_PT |
| dc.relation | Nova School of Business and Economics | |
| dc.subject | Trade war | pt_PT |
| dc.subject | Recession | pt_PT |
| dc.subject | Economic cycle | pt_PT |
| dc.subject | Spotify | pt_PT |
| dc.title | Scenario analysis different paths spotify may take | pt_PT |
| dc.type | master thesis | |
| dspace.entity.type | Publication | |
| oaire.awardNumber | UID/ECO/00124/2013 | |
| oaire.awardTitle | Nova School of Business and Economics | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FECO%2F00124%2F2013/PT | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | masterThesis | pt_PT |
| relation.isProjectOfPublication | 644a3f4f-817b-4d0d-aba6-f98cdca28bc7 | |
| relation.isProjectOfPublication.latestForDiscovery | 644a3f4f-817b-4d0d-aba6-f98cdca28bc7 | |
| thesis.degree.name | A Work Project, presented as part of the requirements for the Award of a Masters Degree in Finance from the NOVA – School of Business and Economics | pt_PT |
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