Informed Options Trading Prior to Takeover Announcements: Insider Trading?

Author:

Augustin Patrick1ORCID,Brenner Menachem2ORCID,Subrahmanyam Marti G.2ORCID

Affiliation:

1. Desautels Faculty of Management, McGill University, Montreal, Quebec H3A 1G5, Canada;

2. Leonard N. Stern School of Business, New York University, New York, New York 10012

Abstract

We quantify the pervasiveness of informed trading activity in target companies’ equity options before the announcements of 1,859 U.S. takeovers between 1996 and 2012. About 25% of all takeovers have positive abnormal volumes, which are greater for short-dated, out-of-the-money calls, consistent with bullish directional trading before the announcement. Over half of this abnormal activity is unlikely due to speculation, news and rumors, trading by corporate insiders, leakage in the stock market, deal predictability, or beneficial ownership filings by activist investors. We also examine the characteristics of option trades litigated by the Securities and Exchange Commission (SEC) for alleged illegal insider trading. Although the characteristics of such trades closely resemble the patterns of abnormal option volume in the U.S. takeover sample, we find that the SEC litigates only about 8% of all deals in it. This paper was accepted by Lauren Cohen, finance.

Publisher

Institute for Operations Research and the Management Sciences (INFORMS)

Subject

Management Science and Operations Research,Strategy and Management

Cited by 75 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. Anomalies, option volume, and disagreement;Financial Management;2024-06-24

2. Options trading imbalance, cash-flow news, and discount-rate news;Journal of Empirical Finance;2024-06

3. Prospect theory in M&A: Do historical purchase prices affect merger offer premiums and announcement returns?;Journal of Behavioral and Experimental Finance;2024-06

4. USDA reports affect the stock market, too;Journal of Commodity Markets;2024-06

5. A comprehensive review on insider trading detection using artificial intelligence;Journal of Computational Social Science;2024-05-03

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3