Do analysts who understand accounting conservatism exhibit better forecasting performance?

Cited 5 time in webofscience Cited 0 time in scopus
  • Hit : 622
  • Download : 0
DC FieldValueLanguage
dc.contributor.authorJung, Jay Heonko
dc.contributor.authorLim, Sonya S.ko
dc.contributor.authorPae, Jinhanko
dc.contributor.authorYoo, Choong-Yuelko
dc.date.accessioned2017-08-31T09:01:03Z-
dc.date.available2017-08-31T09:01:03Z-
dc.date.created2017-08-28-
dc.date.created2017-08-28-
dc.date.created2017-08-28-
dc.date.issued2017-07-
dc.identifier.citationJOURNAL OF BUSINESS FINANCE & ACCOUNTING, v.44, no.7-8, pp.953 - 985-
dc.identifier.issn0306-686X-
dc.identifier.urihttp://hdl.handle.net/10203/225622-
dc.description.abstractThis study investigates the performance of analysts when they match the asymmetric timeliness of their earnings forecast revisions (i.e., asymmetric forecast timeliness) with the asymmetric timeliness of firms' reported earnings (i.e., asymmetric earnings timeliness). We find that better timeliness-matching analysts produce more accurate earnings forecasts and elicit stronger market reactions to their forecast revisions. Further, better timeliness-matching analysts issue less biased earnings forecasts, more profitable stock recommendations and have more favorable career outcomes. Overall, our results indicate that analysts' ability to incorporate conditional conservatism into their earnings forecasts is an important reflection of analyst expertise and professional success.-
dc.languageEnglish-
dc.publisherWILEY-
dc.titleDo analysts who understand accounting conservatism exhibit better forecasting performance?-
dc.typeArticle-
dc.identifier.wosid000407049300003-
dc.identifier.scopusid2-s2.0-85019124901-
dc.type.rimsART-
dc.citation.volume44-
dc.citation.issue7-8-
dc.citation.beginningpage953-
dc.citation.endingpage985-
dc.citation.publicationnameJOURNAL OF BUSINESS FINANCE & ACCOUNTING-
dc.identifier.doi10.1111/jbfa.12254-
dc.contributor.localauthorYoo, Choong-Yuel-
dc.contributor.nonIdAuthorJung, Jay Heon-
dc.contributor.nonIdAuthorLim, Sonya S.-
dc.contributor.nonIdAuthorPae, Jinhan-
dc.description.isOpenAccessN-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorasymmetric timely loss recognition-
dc.subject.keywordAuthorcareer outcome-
dc.subject.keywordAuthorconditional conservatism-
dc.subject.keywordAuthorequity analyst-
dc.subject.keywordAuthorforecasting performance-
dc.subject.keywordAuthorstock recommendation-
dc.subject.keywordPlusBIASED EARNINGS FORECASTS-
dc.subject.keywordPlusSECURITY ANALYSTS-
dc.subject.keywordPlusCONDITIONAL CONSERVATISM-
dc.subject.keywordPlusCAREER CONCERNS-
dc.subject.keywordPlusRECOMMENDATIONS-
dc.subject.keywordPlusTIMELINESS-
dc.subject.keywordPlusACCURACY-
dc.subject.keywordPlusASSOCIATION-
dc.subject.keywordPlusINFORMATION-
dc.subject.keywordPlusINCENTIVES-
Appears in Collection
MT-Journal Papers(저널논문)
Files in This Item
There are no files associated with this item.
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 5 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0