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Quadratic programming versus second order con programming in portfolio optimization

datacite.subject.fosCiências Sociais::Economia e Gestãopt_PT
dc.contributor.advisorEça, Afonso Fuzeta
dc.contributor.authorTalina, Bernardo Júdice Franqueira Cotrim
dc.date.accessioned2016-03-15T15:58:43Z
dc.date.available2016-03-15T15:58:43Z
dc.date.issued2016-01
dc.description.abstractDespite the extensive literature in finding new models to replace the Markowitz model or trying to increase the accuracy of its input estimations, there is less studies about the impact on the results of using different optimization algorithms. This paper aims to add some research to this field by comparing the performance of two optimization algorithms in drawing the Markowitz Efficient Frontier and in real world investment strategies. Second order cone programming is a faster algorithm, appears to be more efficient, but is impossible to assert which algorithm is better. Quadratic Programming often shows superior performance in real investment strategies.pt_PT
dc.identifier.tid201523558
dc.identifier.urihttp://hdl.handle.net/10362/16803
dc.language.isoengpt_PT
dc.subjectPortfolio optimizationpt_PT
dc.subjectSecond order cone programmingpt_PT
dc.subjectQuadratic programmingpt_PT
dc.titleQuadratic programming versus second order con programming in portfolio optimizationpt_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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