Abstract
We employ a characteristic-based model to decompose total analyst coverage into abnormal and expected components and show that abnormal coverage contains valuable information about individual firm ex-ante crash risk (proxied by implied volatility smirk from options data). Specifically, one standard deviation increase in unexpected or abnormal coverage is associated with a 5.5% decrease in the ex-ante crash risk. The abnormal coverage signal is more useful in firms with a more transparent information environment, proxied by lower analyst dispersed opinions, lower financial opacity, and more comparable financial statements. Collectively, the results suggest that options market investors utilise abnormal coverage to identify and assess crash risk of mispriced firms.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.