Endogenous information flows and the clustering of announcements

Endogenous information flows and the clusteri ...
Viral V. Acharya, Viral V. Ach ...
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Last edited by MARC Bot
October 17, 2020 | History

Endogenous information flows and the clustering of announcements

"We consider the strategic timing of information releases in a dynamic disclosure model. Because investors don't know whether or when the firm is informed, the firm will not necessarily disclose immediately. We show that bad market news can trigger the immediate release of information by firms. Conversely, good market news slows the release of information by firms. Thus, our model generates clustering of negative announcements. Surprisingly, this result holds only when firms can preemptively disclose their own information prior to the arrival of external information. These results have implications for conditional variance and skewness of stock returns"--National Bureau of Economic Research web site.

Publish Date
Language
English

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Edition Availability
Cover of: Endogenous information flows and the clustering of announcements
Endogenous information flows and the clustering of announcements
2010, National Bureau of Economic Research
electronic resource / in English
Cover of: Endogenous information flows and the clustering of announcements
Endogenous information flows and the clustering of announcements
2010, National Bureau of Economic Research
electronic resource / in English

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Book Details


Edition Notes

Title from PDF file as viewed on 3/15/2011.

Includes bibliographical references.

Also available in print.

System requirements: Adobe Acrobat Reader.

Mode of access: World Wide Web.

Published in
Cambridge, MA
Series
NBER working paper series -- working paper 16485, Working paper series (National Bureau of Economic Research : Online) -- working paper no. 16485.

Classifications

Library of Congress
HB1

The Physical Object

Format
[electronic resource] /

ID Numbers

Open Library
OL30655206M
LCCN
2011655683

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October 17, 2020 Created by MARC Bot Imported from Library of Congress MARC record