Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/97098
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dc.contributorSchool of Accounting and Financeen_US
dc.creatorPhua, Ken_US
dc.creatorTham, Men_US
dc.creatorWei, Cen_US
dc.date.accessioned2023-01-26T06:34:16Z-
dc.date.available2023-01-26T06:34:16Z-
dc.identifier.issn0022-1090en_US
dc.identifier.urihttp://hdl.handle.net/10397/97098-
dc.language.isoenen_US
dc.publisherCambridge University Pressen_US
dc.rights© The Author(s), 2022. Published by Cambridge University Press on behalf of the Michael G. Foster School of Business, University of Washington. This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.en_US
dc.rightsThe following publication Phua, K., Tham, M., & Wei, C. (2023). Peer effects in equity research. Journal of Financial and Quantitative Analysis, 58(2), 647-676 is available at https://doi.org/10.1017/S0022109022000710.en_US
dc.titlePeer effects in equity researchen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage647en_US
dc.identifier.epage676en_US
dc.identifier.volume58en_US
dc.identifier.issue2en_US
dc.identifier.doi10.1017/S0022109022000710en_US
dcterms.abstractWe study the importance of peer effects among sell-side analysts who work at the same brokerage house, but cover different firms. By mapping the information network within each brokerage, we identify analysts who occupy central positions in the network. Central analysts incorporate more information from their coworkers and produce better research. Using shocks to network structures around brokerage mergers, we identify the influence of peer effects and the importance of industry expertise on analysts’ performance. A portfolio strategy that exploits the forecast revisions of central analysts earns up to 24% per annum.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationJournal of financial and quantitative analysis, Mar. 2023, v. 58, no. 2, p. 647-676en_US
dcterms.isPartOfJournal of financial and quantitative analysisen_US
dcterms.issued2023-03-
dc.identifier.isiWOS:000871762200001-
dc.identifier.scopus2-s2.0-85136857218-
dc.identifier.eissn1756-6916en_US
dc.description.validate202301 bckwen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_TA, a2063en_US
dc.identifier.SubFormID46446en_US
dc.description.fundingSourceSelf-fundeden_US
dc.description.pubStatusPublisheden_US
dc.description.TACUP (2023)en_US
dc.description.oaCategoryTAen_US
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