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Article: FinTechs and the Market for Financial Analysis

TitleFinTechs and the Market for Financial Analysis
Authors
Issue Date2021
Citation
Journal of Financial and Quantitative Analysis, 2021, v. 56, n. 6, p. 1877-1907 How to Cite?
AbstractHundreds of equity market intelligence financial technology firms (FinTechs) have formed in the last decade. We assemble novel data to describe their capabilities, users, and consequences. Our data suggest that these FinTechs i) aggregate many data sources, including nontraditional ones (e.g., Twitter, blogs), and synthesize such data using artificial intelligence to make investment recommendations, and ii) change Internet users' information discovery by serving as substitutes for traditional information providers. We evaluate some nontraditional data and find evidence suggesting that such data contain valuable information or crowd wisdom that links to informational efficiency. Overall, our findings are consistent with this innovation benefiting investors and markets.
Persistent Identifierhttp://hdl.handle.net/10722/326245
ISSN
2023 Impact Factor: 3.7
2023 SCImago Journal Rankings: 3.980
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorGrennan, Jillian-
dc.contributor.authorMichaely, Roni-
dc.date.accessioned2023-03-09T09:59:11Z-
dc.date.available2023-03-09T09:59:11Z-
dc.date.issued2021-
dc.identifier.citationJournal of Financial and Quantitative Analysis, 2021, v. 56, n. 6, p. 1877-1907-
dc.identifier.issn0022-1090-
dc.identifier.urihttp://hdl.handle.net/10722/326245-
dc.description.abstractHundreds of equity market intelligence financial technology firms (FinTechs) have formed in the last decade. We assemble novel data to describe their capabilities, users, and consequences. Our data suggest that these FinTechs i) aggregate many data sources, including nontraditional ones (e.g., Twitter, blogs), and synthesize such data using artificial intelligence to make investment recommendations, and ii) change Internet users' information discovery by serving as substitutes for traditional information providers. We evaluate some nontraditional data and find evidence suggesting that such data contain valuable information or crowd wisdom that links to informational efficiency. Overall, our findings are consistent with this innovation benefiting investors and markets.-
dc.languageeng-
dc.relation.ispartofJournal of Financial and Quantitative Analysis-
dc.titleFinTechs and the Market for Financial Analysis-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1017/S0022109020000721-
dc.identifier.scopuseid_2-s2.0-85094108294-
dc.identifier.volume56-
dc.identifier.issue6-
dc.identifier.spage1877-
dc.identifier.epage1907-
dc.identifier.eissn1756-6916-
dc.identifier.isiWOS:000693071000003-

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