Utilize este identificador para referenciar este registo: http://hdl.handle.net/10362/133431
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Campo DCValorIdioma
dc.contributor.advisorPereira, João Pedro-
dc.contributor.authorAleksidze, David-
dc.date.accessioned2022-02-23T14:38:28Z-
dc.date.available2022-02-23T14:38:28Z-
dc.date.issued2021-01-21-
dc.date.submitted2021-01-04-
dc.identifier.urihttp://hdl.handle.net/10362/133431-
dc.description.abstractThis project aims to analyze which volatility estimation model can better forecast volatility for Banco Invest. The compared models are the GARCH (1, 1), Exponentially Weighted Moving Average, Heston-Nandi GARCH, and two variations of the Heston stochastic volatility model. The model recommended for Banco Invest is the Heston, as it is the one that presents the closest results to the realized volatility and demonstrates the most stable estimates. Alternatively, if it is not Banco Invest’s intention to use the implied volatility as an input when forecasting volatilities, the Heston-Nandi GARCH model should be taken in to consideration.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.subjectVolatilitypt_PT
dc.subjectGarchpt_PT
dc.subjectEwmapt_PT
dc.subjectHeston-nandipt_PT
dc.subjectHestonpt_PT
dc.subjectVolatility surfacept_PT
dc.titleBanco invest field lab on option volatility modelspt_PT
dc.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
dc.identifier.tid202766160pt_PT
dc.subject.fosDomínio/Área Científica::Ciências Sociais::Economia e Gestãopt_PT
Aparece nas colecções:NSBE: Nova SBE - MA Dissertations

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