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Universidad del Rosario

When Do Signals Counteract The Effects of Confirmation Bias? Evidence From Sell-Side Analysts’ Forecasts

Abstract

dc:description

I empirically study whether strong signals counteract the effects of confirmation bias in sell-side analysts’ stock price forecasts when these signals are contradictory. I use target prices to measure forecast bias and the growth in Earnings Per Share as signals, and regress analysts’ forecast bias over different deciles of high signals interacted with prior negative forecast bias in a dynamic panel data model. I find that analysts underreact to favorable signals when the prior is pessimistic, except for sufficiently strong signals which cause analysts to issue more optimistic target prices. Also, that analysts underreact to low signals, except for sufficiently low signals.

Degree

thesis:*
Grantor dc:publisher
Universidad del Rosario
Year dc:date
2018

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Astaiza, José Gabriel

Subjects

dc:subject × 8

Rights

dc:rights
Statement dc:rights
  • info:eu-repo/semantics/openAccess
Language dc:language
spa

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:repository.urosario.edu.co:10336/18661

Chain of custody

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Harvested from
Universidad del Rosario
Base URL
repository.urosario.edu.co/oai/request
Last updated
2026-07-27
Source record
OAI-PMH GetRecord
citation

Astaiza, José Gabriel. When Do Signals Counteract The Effects of Confirmation Bias? Evidence From Sell-Side Analysts’ Forecasts. Universidad del Rosario, 2018. https://doi.org/10.48713/10336_18661