High-Frequency Tail Risk Premium and Stock Return Predictability
Journal of Financial and Quantitative Analysis, forthcoming
57 Pages Posted: 31 Jul 2018 Last revised: 27 Jul 2023
Date Written: May 16, 2023
We propose a novel measure of the market return tail risk premium based on minimum-distance state price densities recovered from high-frequency data. The tail risk premium extracted from intra-day S&P 500 returns predicts the market equity and variance risk premiums and expected excess returns on a cross section of characteristics-sorted portfolios. Additionally, we describe the differential role of the quantity of tail risk, and of the tail premium, in shaping the future distribution of index returns. Our results are robust to controlling for established measures of variance and tail risk, and of risk premiums, in the predictive models.
Keywords: Tail Risk, Risk-Neutral Measure, Expected Shortfall, Intra-day Market Returns, Return Predictability
JEL Classification: G12, G13, G17
Suggested Citation: Suggested Citation