Trading volume reactions to earnings announcements and future firm performance

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Abstract/Contents

Abstract
I investigate whether firms with higher abnormal trading volume (ATV) around earnings announcements (EAs) outperform those with lower ATV over the short and long terms following the EA. In addition, I address whether any positive relation between ATV around EAs and future firm performance is weaker for firms with a higher proportion of shares held by sophisticated investors. Consistent with theories that attribute ATV around public announcements primarily to differing investor interpretations of the news and that link differential interpretation to future returns, I find that, for several years after an EA, firms in the highest decile of ATV significantly outperform those in the lowest decile. Further, I find that ATV and earnings surprises explain future returns incremental to the three Fama and French (1993) and momentum risk-factors. Next, consistent with the proportion of ATV driven by lack of consensus regarding the price being lower when the presence of rational investors is higher, I document that the level of investor sophistication−a proxy for investor rationality−attenuates the positive relation between ATV and future returns. Taken together, my study lends support to and links two streams of theories from financial economics, and demonstrates that trading volume reactions to EAs provide information about future returns and firm financial performance that cannot be deduced from the price reactions or the magnitudes of earnings surprises. My study also documents that the positive relation between ATV and future firm performance is sensitive to the level of security holdings of sophisticated investors.

Description

Type of resource text
Form electronic; electronic resource; remote
Extent 1 online resource.
Publication date 2013
Issuance monographic
Language English

Creators/Contributors

Associated with Israeli, Doron
Associated with Stanford University, Graduate School of Business.
Primary advisor Barth, Mary E
Thesis advisor Barth, Mary E
Thesis advisor Kasznik, Ron
Thesis advisor Lee, Charles M
Advisor Kasznik, Ron
Advisor Lee, Charles M

Subjects

Genre Theses

Bibliographic information

Statement of responsibility Doron Israeli.
Note Submitted to the Graduate School of Business.
Thesis Thesis (Ph.D.)--Stanford University, 2013.
Location electronic resource

Access conditions

Copyright
© 2013 by Doron Israeli
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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