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Forecasting the equity risk premium with frequency-decomposed predictors

dc.contributor.authorFaria, Gonçalo
dc.contributor.authorVerona, Fabio
dc.date.accessioned2018-07-05T16:18:27Z
dc.date.available2018-07-05T16:18:27Z
dc.date.issued2016
dc.description.abstractWe show that the out-of-sample forecast of the equity risk premium can b e signi cantly improved by taking into account the frequency-domain relationship b etween the equity risk premium and several p otential predictors. We consider fteen predictors from the existing literature, for the out-of-sample forecasting p erio d from January 1990 to Decemb er 2014. The b est result achieved for individual predictors is a monthly out-of-sample R 2 of 2.98 % and utility gains of 549 basis p oints p er year for a mean-variance investor. This p erformance is improved even further when the individual forecasts from the frequency- decomp osed predictors are combined. These results are robust for di erent subsamples, including the Great Mo deration p erio d, the Great Financial Crisis p erio d and, more generically, p erio ds of bad, normal and go o d economic growth. The strong and robust p erformance of this metho d comes from its ability to disentangle the information aggregated in the original time series of each variable, which allows to isolate the frequencies of the predictors with the highest predictive p ower from the noisy parts.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationFaria, G., Verona, F. (2016). Forecasting the equity risk premium with frequency-decomposed predictors. Working papers: Economics. N.º 6, 40 p.pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.14/25178
dc.language.isoengpt_PT
dc.peerreviewednopt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectPredictabilitypt_PT
dc.subjectEquity risk premiumpt_PT
dc.subjectFrequency domainpt_PT
dc.subjectDiscrete waveletspt_PT
dc.titleForecasting the equity risk premium with frequency-decomposed predictorspt_PT
dc.typeworking paper
dspace.entity.typePublication
oaire.citation.titleWorking papers: Economicspt_PT
rcaap.rightsopenAccesspt_PT
rcaap.typeworkingPaperpt_PT

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