Option Trading Activity, News Releases, and Stock Return Predictability

Author:

Weinbaum David1ORCID,Fodor Andrew2,Muravyev Dmitriy3,Cremers Martijn4ORCID

Affiliation:

1. Whitman School of Management, Syracuse University, Syracuse, New York 13244;

2. College of Business, Ohio University, Athens, Ohio 45701;

3. Broad College of Business, Michigan State University, East Lansing, Michigan 48824;

4. Mendoza College of Business, University of Notre Dame, Notre Dame, Indiana 46556

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. This paper was accepted by Karl Diether, finance.

Publisher

Institute for Operations Research and the Management Sciences (INFORMS)

Subject

Management Science and Operations Research,Strategy and Management

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Misreaction, hedging pressure, and its effect on the futures market;Pacific-Basin Finance Journal;2024-09

2. Option trading volume and the cross-section of option returns;The North American Journal of Economics and Finance;2024-09

3. Informed Trading and Return Predictability in China: Research Based on Ensemble Neural Network;Emerging Markets Finance and Trade;2024-07-31

4. Anomalies, option volume, and disagreement;Financial Management;2024-06-24

5. Does the Options Market Underreact to Firms’ Left-Tail Risk?;Journal of Financial and Quantitative Analysis;2024-04-15

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