Too Good To Be True? An Analysis Of The Options Market'S Reactions To Earnings Releases
Keywords
earnings announcements; option implied distributions; tail risk; uncertainty resolution
Abstract
Using option implied risk neutral return distributions before and after earnings announcements, we study the option market's reaction to extreme events over earnings announcements. While earnings announcements generally reduce short-term uncertainty about the stock price, very good news does not reduce uncertainty and slightly bad news actually increases uncertainty. We also find that left tail probabilities decrease over earnings releases while right tail probabilities increase. We interpret these findings as evidence of maintained investor expectations that very good news is generally not released during earnings announcements, combined with skepticism in the form of lingering uncertainty at the release of such very good news.
Publication Date
7-1-2016
Publication Title
Journal of Business Finance and Accounting
Volume
43
Issue
7-8
Number of Pages
830-848
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1111/jbfa.12214
Copyright Status
Unknown
Socpus ID
84988943062 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84988943062
STARS Citation
Lu, Yan and Ray, Sugata, "Too Good To Be True? An Analysis Of The Options Market'S Reactions To Earnings Releases" (2016). Scopus Export 2015-2019. 3630.
https://stars.library.ucf.edu/scopus2015/3630