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

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  • Liu, Mengxi (Maggie)
  • Chan, Kam Fong
  • Faff, Robert

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.

Suggested Citation

  • Liu, Mengxi (Maggie) & Chan, Kam Fong & Faff, Robert, 2022. "What can we learn from firm-level jump-induced tail risk around earnings announcements?," Journal of Banking & Finance, Elsevier, vol. 138(C).
    • Handle: RePEc:eee:jbfina:v:138:y:2022:i:c:s0378426622000097
    DOI: 10.1016/j.jbankfin.2022.106409
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    More about this item

    Keywords

    Tail risk; Jump-implied variance contribution index; Earnings announcements; Implied moments;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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