Equity Risk Premium Predictability from Cross-Sectoral Downturns* José Afonso Faias and Juan Arismendi Zambrano This version: July 2017 Abstract We illustrate the role of left tail mean (LTM) in equity risk premium (ERP) predictability. LTM measures the average of pairwise left tail dependency among major equity sectors incorporating endogenous shocks that are imperceptible at the aggregate level. LTM, as the variance risk premium, significantly predicts the ERP in- and out-of- sample, which is not the case with the other commonly used predictors. Ceteris paribus, an increase of two standard deviations in the LTM in a time-varying disaster-risk consumption-based asset pricing model causes an increase of 0.70% in the ERP. This paper contributes to the debate on ERP predictability. Keywords: Predictability, left tail dependence, asset pricing model. JEL classification: G10, G12, G14. *Corresponding author: José Afonso Faias, UCP - Católica Lisbon School of Business & Economics, Palma de Cima, 1649-023 Lisboa, Portugal. Phone +351-217270250. E-mail:
[email protected]. Juan Arismendi Zambrano, Department of Economics, Finance and Accounting, Maynooth University -National University of Ireland, Maynooth, Ireland. Phone +353-(0)1- 7083728. E-mail:
[email protected]; ICMA Centre – Henley Business School, University of Reading, Whiteknights, RG6 6BA, Reading, UK. Phone +44-1183788239. E-mail:
[email protected]. We thank Rui Albuquerque, Gregory Connor, Adam Farago, Campbell Harvey, Joni Kokkonen, Stefan Nagel, Pedro Santa-Clara, Kenneth J. Singleton, Grigory Vilkov, Andrew Vivian, Jessica A. Wachter, and the participants at the 2016 FMA Annual Meeting, 2016 Research in Options, 2017 FMA European Conference, 2017 Multinational Finance Society Annual Meeting, 2017 European Finance Association Annual Meeting, and the 2017 Foro Finanzas for helpful comments and discussions.