What can we learn from firm-level jump-induced tail risk around earnings announcements?

B-Tier
Journal: Journal of Banking & Finance
Year: 2022
Volume: 138
Issue: C

Authors (3)

Liu, Mengxi (Maggie) (not in RePEc) Chan, Kam Fong (not in RePEc) Faff, Robert (University of Queensland)

Score contribution per author:

0.670 = (α=2.01 / 3 authors) × 1.0x B-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

In this study, we provide empirical evidence that firm-level jump-induced tail risk (measured by a jump-implied variance contribution index [JIVX]) prospectively predicts cross-sectional stock returns around earnings announcements. The effect size is nontrivial. A practical trading strategy that buys announcers with high pre-news JIVX values and sells announcers with low pre-news JIVX values, earns a net risk-adjusted average return of 82 basis points (bps) three days after the news release. Notably, the empirical success of the JIVX predictor is distinct from model-free implied skewness and kurtosis measures and withstands a battery of robustness checks.

Technical Details

RePEc Handle
repec:eee:jbfina:v:138:y:2022:i:c:s0378426622000097
Journal Field
Finance
Author Count
3
Added to Database
2026-01-25