Where and about what? Price relevant narratives depend on topic and media type
Where and about what? Price relevant narratives depend on topic and media type
The role of traditional or social media-expressed tone on stock prices is nuanced. Negative tone of traditional media articles is much more likely to convey material information than web messages. Some topics, regardless of source, are unusually negative, causing fluctuations in investor sentiment and temporary price deviations.
Investor sentiment, Negative tone, Social media, Textual analysis, Traditional media
Liu, Sha
738b1d80-5aa6-4750-868e-b4741657874f
Gaskell, Paul
9d855bff-86a2-4995-965a-3cbd968c5b8a
McGroarty, Frank
693a5396-8e01-4d68-8973-d74184c03072
April 2022
Liu, Sha
738b1d80-5aa6-4750-868e-b4741657874f
Gaskell, Paul
9d855bff-86a2-4995-965a-3cbd968c5b8a
McGroarty, Frank
693a5396-8e01-4d68-8973-d74184c03072
Liu, Sha, Gaskell, Paul and McGroarty, Frank
(2022)
Where and about what? Price relevant narratives depend on topic and media type.
Economics Letters, 213, [110363].
(doi:10.1016/j.econlet.2022.110363).
Abstract
The role of traditional or social media-expressed tone on stock prices is nuanced. Negative tone of traditional media articles is much more likely to convey material information than web messages. Some topics, regardless of source, are unusually negative, causing fluctuations in investor sentiment and temporary price deviations.
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Accepted/In Press date: 4 February 2022
e-pub ahead of print date: 12 February 2022
Published date: April 2022
Additional Information:
Funding Information:
The authors thank Web Science Institute at University of Southampton for financial support and ChannelCreator for providing web data.
Publisher Copyright:
© 2022 Elsevier B.V.
Keywords:
Investor sentiment, Negative tone, Social media, Textual analysis, Traditional media
Identifiers
Local EPrints ID: 456399
URI: http://eprints.soton.ac.uk/id/eprint/456399
ISSN: 0165-1765
PURE UUID: 6a5747cb-f006-48f2-b48f-eb4f10367701
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Date deposited: 28 Apr 2022 16:31
Last modified: 17 Mar 2024 02:57
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Contributors
Author:
Sha Liu
Author:
Paul Gaskell
Author:
Frank McGroarty
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