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Local versus global factor models: time-series versus cross-sectional evidence

datacite.subject.fosCiências Sociais::Economia e Gestãopt_PT
dc.contributor.advisorBoons, Martijn
dc.contributor.authorAgostini, Giulia Degli
dc.date.accessioned2017-12-04T11:33:36Z
dc.date.available2017-12-04T11:33:36Z
dc.date.issued2017-01-20
dc.description.abstractMany studies agree on the fact that during the late 1980s and 1990s financial market integration increased substantially. Under an efficient and integrated financial market, a set of global risk factors should price international stock returns. However, despite the perception that currently financial markets are highly integrated, many researches proved that empirical local factor models outperform global factor models. We investigate the performance of global factors respect with local factors through a time series and a cross sectional analysis.pt_PT
dc.identifier.tid201714540pt_PT
dc.identifier.urihttp://hdl.handle.net/10362/26128
dc.language.isoengpt_PT
dc.subjectGlobal factor modelspt_PT
dc.subjectLocal factorspt_PT
dc.subjectInternational asset pricingpt_PT
dc.titleLocal versus global factor models: time-series versus cross-sectional evidencept_PT
dc.typemaster thesis
dspace.entity.typePublication
rcaap.rightsopenAccesspt_PT
rcaap.typemasterThesispt_PT
thesis.degree.nameA Work Project, presented as part of the requirements for the Award of a Masters Degree in Finance from the NOVA – School of Business and Economicspt_PT

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