Utilize este identificador para referenciar este registo: http://hdl.handle.net/10362/161195
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Campo DCValorIdioma
dc.contributor.advisorD’arienzo, Daniele-
dc.contributor.authorPeters, Sven-
dc.date.accessioned2023-12-13T12:28:47Z-
dc.date.available2023-12-13T12:28:47Z-
dc.date.issued2022-01-11-
dc.date.submitted2022-01-11-
dc.identifier.urihttp://hdl.handle.net/10362/161195-
dc.description.abstractBanco Invest offers various over-the-counter (OTC) derivatives to institutional clients as part of its structured investment solutions. These derivatives are managed within the bank’s Proprietary Trading Book. The focus of this consulting project is developing a Delta-Gamma Value-at-Risk (VaR) model that Banco Invest can implement to actively manage its equity derivative portfolio`s underlying risks. The first part contains the estimation of the portfolio delta and gamma. The second part consists of the quadratic approximation to calculate the portfolio standard deviation. In the last section, the authors calculate the Delta-Gamma Value at-Risk and provide recommendations to Banco Invest.pt_PT
dc.language.isoengpt_PT
dc.relationUID/ECO/00124/2013pt_PT
dc.rightsopenAccesspt_PT
dc.subjectValue-at-Riskpt_PT
dc.subjectAutocall optionpt_PT
dc.subjectPortfolio Deltapt_PT
dc.subjectPortfolio Gammapt_PT
dc.subjectDelta-Gammapt_PT
dc.subjectValue-at-Riskpt_PT
dc.titleBanco invest consulting project: delta-gamma value-at-risk model for portfolio of autocall optionspt_PT
dc.typemasterThesispt_PT
thesis.degree.nameA Work Project, presented as part of the requirements for the Award of a Master’s degree in Finance from the Nova School of Business and Economics.pt_PT
dc.identifier.tid203312015pt_PT
dc.subject.fosDomínio/Área Científica::Ciências Sociais::Economia e Gestãopt_PT
Aparece nas colecções:NSBE: Nova SBE - MA Dissertations

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