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Portfolio optimization under ‘at-risk’ constraints

datacite.subject.fosCiências Sociais::Economia e Gestão
dc.contributor.advisorFaias, José Afonso de Carvalho Tavares
dc.contributor.authorLúcio, Joana Filipa da Silva
dc.date.accessioned2015-12-04T12:00:09Z
dc.date.available2015-12-04T12:00:09Z
dc.date.issued2015-11-02
dc.date.submitted2015
dc.description.abstractThe financial crisis of 2008 brought with it a great interest in downside risk. This dissertation focus on portfolio optimization under downside risk constraints. We maximize the expected return subject to the level of risk, which is defined as Value at Risk (VaR) or Conditional Value at Risk (CVaR) above the risk free rate on the initial wealth. Since this model does not depend on distributional assumptions for the returns, we are able to evade the shortcomings of overestimation or underestimation of risk. In an out-of-sample exercise between 1994 and 2014, we show that our VaR and CVaR strategies yield an annualized Sharpe ratio of 0.67 and 0.63, respectively, which compares well to the S&P500 that yields an annualized Sharpe ratio of 0.47. Additionally, we find evidence that our downside risk model for portfolio optimization exhibits better results during recessions when comparing its performance with several benchmarks. This implies that our model can be viewed as a risk mitigation strategy.pt_PT
dc.identifier.tid201170795
dc.identifier.urihttp://hdl.handle.net/10400.14/18748
dc.language.isoengpt_PT
dc.titlePortfolio optimization under ‘at-risk’ constraintspt_PT
dc.typemaster thesis
dspace.entity.typePublication
rcaap.rightsopenAccesspt_PT
rcaap.typemasterThesispt_PT
thesis.degree.nameMestrado em Economia

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