Back to search

The University of Texas at Austin

Can investors fully adjust for known biases in manager communications?

Abstract

dc:description.abstract

Managerial communications often contain biased information because of managerial incentives and other influences. A common assumption in the accounting literature is that if investors are aware of managerial biases, they will be able to fully adjust for those known biases when reacting to managerial communications. Drawing on insights from psychology, I experimentally document that investors are not able to fully adjust for known biases in managerial communications--even when investors know the quantitative amount of the manager's bias. Indeed, investors behave contrary to economic theory as they are unable to fully unravel the effects of known biases when rendering judgments about the firm. My study has implications for researchers, regulators, and investors.

Degree

thesis:*
Name thesis:degree_name
Doctor of Philosophy
Level thesis:degree_level
Doctoral
Discipline thesis:degree_discipline
Accounting
Grantor
The University of Texas at Austin
Year dc:date.issued
2012

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Smith, James William, 1979-
Advisor dc:contributor.advisor
  • Koonce, Lisa Lynn, 1959-

Subjects

dc:subject × 3

Rights

dc:rights
Statement dc:rights
  • Copyright is held by the author. Presentation of this material on the Libraries' web site by University Libraries, The University of Texas at Austin was made possible under a limited license grant from the author who has retained all copyrights in the works.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/2152/18036
OAI identifier oai:identifier
oai:repositories.lib.utexas.edu:2152/18036

Chain of custody

source
Harvested from
University of Texas
Base URL
repositories.lib.utexas.edu/server/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Smith, James William, 1979-. Can investors fully adjust for known biases in manager communications?. Doctoral thesis, The University of Texas at Austin, 2012. http://hdl.handle.net/2152/18036