Economics at your fingertips  

Reporting errors in the I/B/E/S earnings forecast database: J. Doe vs. J. Doe

Tristan Roger ()

Finance Research Letters, 2017, vol. 20, issue C, 170-176

Abstract: This paper provides evidence of systematic errors in the way I/B/E/S reports analyst earnings forecasts. Analysis of the I/B/E/S earnings forecast database over the 1982–2014 period pinpointed a lack of consistency in the identification of financial analysts, a number of whom are consequently (1) identified by several different codes, and (2) erroneously attributed forecasts that were issued by namesakes. The present empirical investigation reveals that over 10% of the analyst codes in the database are subject to such reporting errors. These reporting errors impact the evaluation of analysts’ characteristics, and may bias empirical studies that rely on tracking analysts.

Keywords: Financial analysts; Earnings forecasts; I/B/E/S database; Reporting errors; Namesakes (search for similar items in EconPapers)
JEL-codes: C8 E17 G00 G24 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
Full text for ScienceDirect subscribers only

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:

DOI: 10.1016/

Access Statistics for this article

Finance Research Letters is currently edited by R. Gençay

More articles in Finance Research Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

Page updated 2022-04-29
Handle: RePEc:eee:finlet:v:20:y:2017:i:c:p:170-176