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dc.contributor.authorBEKIROS, Stelios D.
dc.contributor.authorGUPTA, Rangan
dc.contributor.authorMAJUMDAR, Anandamayee
dc.date.accessioned2017-01-10T09:28:47Z
dc.date.available2017-01-10T09:28:47Z
dc.date.issued2016
dc.identifier.citationFinance research letters, 2016, Vol. 18, pp. 291-296
dc.identifier.issn1544-6123
dc.identifier.urihttps://hdl.handle.net/1814/44655
dc.description.abstractInformation on economic policy uncertainty does matter in predicting the US equity premium, especially when accounting for structural instabilities and omitted nonlinearities in their relationship, via a quantile predictive regression approach over the monthly period 1900:1-2014:2. Unlike as suggested by a linear mean-based predictive model, the extended quantile regression model with the incorporation of the EPU proxy, enhances significantly the out-of-sample stock return predictability. This is observed especially when the market is neutral, exhibits a slide or mildly upward trending behavior, yet not when the market appears to turn highly bullish.en
dc.language.isoenen
dc.publisherElsevieren
dc.relation.ispartofFinance research letters
dc.subjectStock marketsen
dc.subjectEconomic uncertaintyen
dc.subjectPredictabilityen
dc.subjectQuantile regressionen
dc.subjectC22en
dc.subjectC53en
dc.subjectE60en
dc.subjectG10en
dc.titleIncorporating economic policy uncertainty in US equity premium models : a nonlinear predictability analysisen
dc.typeArticleen
dc.identifier.doi10.1016/j.frl.2016.01.012
dc.identifier.volume18
dc.identifier.startpage291
dc.identifier.endpage296
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