We show that option-implied jump tail risk estimated prior to earnings announcements strongly predicts post-earnings risk-adjusted abnormal stock returns. The predictive power of implied jump tail risk is particularly strong on extreme abnormal stock returns whose absolute values exceed 10%. The...

We compile option-implied tail loss and gain measures based on a deep out-of-the- money option pricing formula derived by applying ‘extreme value theory', and then use these measures to investigate the information content of option-implied tail risk on the future returns of the underlying...

We develop a measure of how information events impact investors' perceptions of risk that is broadly applicable and simple to implement. We derive this measure from an option-pricing model where investors anticipate an announcement that simultaneously conveys information on the announcer's...