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Informativeness of Peer Performance and Analyst Forecasts in Performance Target Setting : Informativeness of Peer Performance and Analyst Forecasts in Performance Target Setting

DC Field Value Language
dc.contributor.author정선문-
dc.contributor.author권세원-
dc.contributor.author신재용-
dc.date.accessioned2024-04-24T02:33:04Z-
dc.date.available2024-04-24T02:33:04Z-
dc.date.created2024-04-16-
dc.date.issued2022-06-
dc.identifier.citationSeoul Journal of Business, Vol.28 No.1, pp.1-30-
dc.identifier.issn1226-9816-
dc.identifier.urihttps://hdl.handle.net/10371/199347-
dc.description.abstractFirms consider external information such as peer performance data and analyst forecasts when setting performance targets because this information provides relevant benchmarks about agents productivity. Using the EPS targets of S&P 1500 firms from the 2006–2014 period, we examine whether firms reliance on certain benchmarks depends on the relative informativeness of the external information. We find that firms put greater weight on analyst forecasts than on peer performance information because their profitability is less likely to comove with that of their peer firms. We also find that the use of forecasts increases in settings where analyst forecasts are more informative regarding focal firms profitability.-
dc.language영어-
dc.publisher서울대학교 경영연구소-
dc.titleInformativeness of Peer Performance and Analyst Forecasts in Performance Target Setting-
dc.title.alternativeInformativeness of Peer Performance and Analyst Forecasts in Performance Target Setting-
dc.typeArticle-
dc.identifier.doi10.35152/snusjb.2022.28.1.001-
dc.citation.journaltitleSeoul Journal of Business-
dc.citation.endpage30-
dc.citation.number1-
dc.citation.startpage1-
dc.citation.volume28-
dc.identifier.kciidART002849583-
dc.description.isOpenAccessN-
dc.contributor.affiliatedAuthor신재용-
dc.description.journalClass2-
dc.subject.keywordAuthorPerformance Target-
dc.subject.keywordAuthorTarget Ratcheting-
dc.subject.keywordAuthorRelative Target Setting-
dc.subject.keywordAuthorAnalyst Forecasts-
dc.subject.keywordAuthorPeer Performance-
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