Forecasting Earnings Forecasts
Bert de Bruijn and
Philip Hans Franses
Additional contact information
Bert de Bruijn: Erasmus University Rotterdam
No 13-121/III, Tinbergen Institute Discussion Papers from Tinbergen Institute
Abstract:
We analyze earnings forecasts retrieved from the I/B/E/S database concerning 596 firms for the sample 1995 to 2011, with a specific focus on whether these earnings forecasts can be predicted from available data. Our main result is that earnings forecasts can be predicted quite accurately using publicly available information. Second, we show that earnings forecasts that are less predictable are also less accurate. We also show that earnings forecasters who quote forecasts that are too extreme need to correct these as the earnings announcement approaches. Finally, we show that the unpredictable component of earnings forecasts can contain information which we can use to improve the forecasts.
Keywords: Earnings Forecasts; Earnings Announcements; Financial Markets; Financial Analysts. (search for similar items in EconPapers)
JEL-codes: G17 G24 M41 (search for similar items in EconPapers)
Date: 2013-08-22
New Economics Papers: this item is included in nep-for
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://papers.tinbergen.nl/13121.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:tin:wpaper:20130121
Access Statistics for this paper
More papers in Tinbergen Institute Discussion Papers from Tinbergen Institute Contact information at EDIRC.
Bibliographic data for series maintained by Tinbergen Office +31 (0)10-4088900 ().