Almeida, Caio, Ardison, Kim, Freire, Gustavo, Garcia, René and Orlowski, Piotr (2024) High-Frequency Tail Risk Premium and Stock Return Predictability. Journal of Financial and Quantitative Analysis, vol.59 (n°8). pp. 3633-3670.

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Identification Number : 10.1017/S0022109023001199

Abstract

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.

Item Type: Article
Language: English
Date: December 2024
Refereed: Yes
Place of Publication: Seattle
Subjects: B- ECONOMIE ET FINANCE
Divisions: TSE-R (Toulouse)
Site: UT1
Date Deposited: 03 Feb 2025 15:12
Last Modified: 14 Feb 2025 13:34
OAI Identifier: oai:tse-fr.eu:130206
URI: https://publications.ut-capitole.fr/id/eprint/50302
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