Option Trading Activity, News Releases, and Stock Return Predictability
David Weinbaum (),
Andrew Fodor (),
Dmitriy Muravyev () and
Martijn Cremers ()
Additional contact information
David Weinbaum: Whitman School of Management, Syracuse University, Syracuse, New York 13244
Andrew Fodor: College of Business, Ohio University, Athens, Ohio 45701
Dmitriy Muravyev: Broad College of Business, Michigan State University, East Lansing, Michigan 48824
Martijn Cremers: Mendoza College of Business, University of Notre Dame, Notre Dame, Indiana 46556
Management Science, 2023, vol. 69, issue 8, 4810-4827
Abstract:
We examine which categories of option trading volume carry information about future stock prices around corporate news announcements. We predict and find that purchases of options are informative on news days and ahead of unscheduled events but not before scheduled events, and sales of options predict returns only ahead of scheduled news releases. Therefore, although the arrival of new information is an important reason why option volume predicts stock returns, this relation depends on whether the information is scheduled or unscheduled because only the former affects volatility and thus option prices. We also study how trading costs and margin costs affect ex post profitability around news.
Keywords: option trading; news releases; stock return predictability (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://dx.doi.org/10.1287/mnsc.2022.4543 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:inm:ormnsc:v:69:y:2023:i:8:p:4810-4827
Access Statistics for this article
More articles in Management Science from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().