Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.jfineco.2005.03.009
DC FieldValue
dc.titleDo accurate earnings forecasts facilitate superior investment recommendations?
dc.contributor.authorLoh, R.K.
dc.contributor.authorMian, G.M.
dc.date.accessioned2013-10-09T08:21:45Z
dc.date.available2013-10-09T08:21:45Z
dc.date.issued2006
dc.identifier.citationLoh, R.K., Mian, G.M. (2006). Do accurate earnings forecasts facilitate superior investment recommendations?. Journal of Financial Economics 80 (2) : 455-483. ScholarBank@NUS Repository. https://doi.org/10.1016/j.jfineco.2005.03.009
dc.identifier.issn0304405X
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/44479
dc.description.abstractWe find that analysts who issue more accurate earnings forecasts also issue more profitable stock recommendations. The average factor-adjusted return associated with the recommendations of analysts in the highest accuracy quintile exceeds the corresponding return for analysts in the lowest accuracy quintile by 1.27% per month. Our findings provide indirect empirical support for valuation models in the accounting and finance literatures (e.g., Ohlson, 1995) that emphasize the role of future earnings in predicting stock price movements. Our results also suggest that imperfectly efficient markets reward information gatherers, such as security analysts, for their costly activities in generating superior earnings forecasts. © 2005 Elsevier B.V. All rights reserved.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.jfineco.2005.03.009
dc.sourceScopus
dc.subjectEarnings forecasts
dc.subjectEarnings-based valuation models
dc.subjectSecurity analysts
dc.subjectStock recommendations
dc.typeArticle
dc.contributor.departmentFINANCE & ACCOUNTING
dc.description.doi10.1016/j.jfineco.2005.03.009
dc.description.sourcetitleJournal of Financial Economics
dc.description.volume80
dc.description.issue2
dc.description.page455-483
dc.description.codenJFECD
dc.identifier.isiut000237740500007
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