Utilize este identificador para referenciar este registo: http://hdl.handle.net/10362/104204
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dc.contributor.advisorNunes, Luis Catela-
dc.contributor.authorBalogun, Nazeerah-
dc.date.accessioned2020-09-17T12:43:29Z-
dc.date.available2021-01-03T01:30:39Z-
dc.date.issued2020-01-22-
dc.date.submitted2020-01-03-
dc.identifier.urihttp://hdl.handle.net/10362/104204-
dc.description.abstractThis paper studies the effects of monetary policy in the aggregate Euro Area. Contrary to traditional money shock analysis, this paper uses a vector autoregressive model and estimates the structural shocks through an external instrument identification approach, employing high-frequency financial data as instrument. The model inhibits economic as well as financial variables and uses the movement of Eurozone overnight index swaps around monetary policy meetings as proxy for unexpected monetary policy shocks. The results show, that a contractionary monetary policy shock behaves contrary to theory, indicating a bias in high-frequency identification.Apart from theapplication ofhigh-frequency identification,this paper contributes to the literature by using Python for the estimation and identification of the model.pt_PT
dc.language.isoengpt_PT
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FECO%2F00124%2F2013/PTpt_PT
dc.rightsopenAccesspt_PT
dc.subjectProxy svarpt_PT
dc.subjectHigh-frequency identificationpt_PT
dc.subjectMonetary policypt_PT
dc.subjectEuro Areapt_PT
dc.titleEmpirical analysis of the impact of monetary policy in the Euro Area: How do monetary policy shocks affect financial markets and economic activity in the Euro Area?pt_PT
dc.typemasterThesispt_PT
thesis.degree.nameA Work Project, presented as part of the requirements for the Award of a Masters Degree in Economics from the NOVA – School of Business and Economicspt_PT
dc.identifier.tid202492117pt_PT
dc.subject.fosDomínio/Área Científica::Ciências Sociais::Economia e Gestãopt_PT
Aparece nas colecções:NSBE: Nova SBE - MA Dissertations

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