Dynamics of subjective risk premia
Stefan Nagel and
Zhengyang Xu
Journal of Financial Economics, 2023, vol. 150, issue 2
Abstract:
We examine subjective risk premia implied by return expectations of individual investors and professionals for portfolios of stocks, bonds, currencies, and commodity futures. While in-sample predictive regressions with realized excess returns suggest that objective risk premia vary countercyclically with business-cycle and asset-valuation measures, subjective risk premia extracted from survey data are largely acyclical. Out-of-sample forecasts of excess returns exhibit a similar lack of cyclicality, which suggests that investors’ learning of forecasting relationships in real time may help explain the cyclicality gap. There is a subjective risk-return tradeoff, with subjective risk premia increasing in subjective perceptions of risk quantity.
Keywords: Return expectations; Subjective risk premia; Return predictability; Survey data (search for similar items in EconPapers)
JEL-codes: E70 G10 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0304405X23001459
Full text for ScienceDirect subscribers only
Related works:
Working Paper: Dynamics of Subjective Risk Premia (2022) 
Working Paper: Dynamics of Subjective Risk Premia (2022) 
Working Paper: Dynamics of Subjective Risk Premia (2022) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:jfinec:v:150:y:2023:i:2:s0304405x23001459
DOI: 10.1016/j.jfineco.2023.103713
Access Statistics for this article
Journal of Financial Economics is currently edited by G. William Schwert
More articles in Journal of Financial Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().