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Take a moment to predict

datacite.subject.fosCiências Sociais::Economia e Gestão
dc.contributor.advisorFaias, José Afonso de Carvalho Tavares
dc.contributor.authorCastel-Branco, Tiago Moraes
dc.date.accessioned2015-12-04T09:21:08Z
dc.date.issued2015-11-04
dc.date.submitted2015
dc.description.abstractWe analyze option-implied and realized variance, skewness and kurtosis, as well as their differences (also called risk premia) as predictors of market returns and of the cross section of stock returns. We find that the variance risk premium is the only variable capable of predicting the S&P 500 index returns, with a monthly out-of-sample R2 above 6% for the period 2001-2014. However, all analyzed variables have shown to be useful in predicting the cross section of stock returns. Self-financed portfolios long on the least exposed stocks to the market variable and short on the most exposed stocks achieve significant Carhart 4-factor Jenson’s alphas and perform considerably better (up to twice as good) than the S&P 500 index in terms of Sharpe ratio, with positive skewness.pt_PT
dc.identifier.tid201172160
dc.identifier.urihttp://hdl.handle.net/10400.14/18743
dc.language.isoengpt_PT
dc.titleTake a moment to predictpt_PT
dc.typemaster thesis
dspace.entity.typePublication
rcaap.rightsrestrictedAccesspt_PT
rcaap.typemasterThesispt_PT
thesis.degree.nameMestrado em Economia

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