Information 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.

Incorporating Economic Policy Uncertainty in US Equity Premium Models: a Nonlinear Predictability Analysis

BEKIROS S;
2016-01-01

Abstract

Information 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.
2016
18
291
296
Economic uncertainty; Predictability; Quantile regression; Stock markets
BEKIROS S; GUPTA R; MAJUMDAR A
File in questo prodotto:
File Dimensione Formato  
Incorporating Economic Policy Uncertainty in US Equity Premium Models.pdf

Accesso riservato

Tipo di file: PDF EDITORIALE
Dimensione 387.6 kB
Formato Adobe PDF
387.6 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1912691
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 82
  • ???jsp.display-item.citation.isi??? 75
social impact