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Aggregate uncertainty, information acquisition, and analyst stock recommendations

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journal contribution
posted on 2024-06-19, 05:27 authored by A Singh, Harminder SinghHarminder Singh, V Welagedara
AbstractWe examine the informativeness of analyst stock recommendations in the presence of aggregate uncertainty. Our results suggest that a one standard deviation increase in aggregate uncertainty decreases the likelihood of influential recommendation revisions by 5.26%. Increased aggregate uncertainty leads to a small stock price impact for upgrade and downgrade recommendations. Our findings reveal consistent search for information by investors, which, support a post‐recommendation price drift amidst high aggregate uncertainty. We further find that investors of firms with fewer distracted shareholders, less readable financial statements, and more informed trading seek more information when aggregate uncertainty is high. Our study highlights that investors become more cautious while responding to analysts' stock recommendations during high aggregate uncertainty.

History

Journal

International Review of Finance

Pagination

1-37

Location

London, Eng.

Open access

  • Yes

ISSN

1369-412X

eISSN

1468-2443

Language

eng

Publication classification

C1 Refereed article in a scholarly journal

Publisher

Wiley

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