Reporting errors in the I/B/E/S earnings forecast database: J. Doe vs. J. Doe
Autor: | Tristan Roger |
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Rok vydání: | 2017 |
Předmět: |
Systematic error
050208 finance Actuarial science ComputingMilieux_THECOMPUTINGPROFESSION Earnings Database Computer science 05 social sciences Subject (documents) computer.software_genre Identification (information) Consistency (database systems) Empirical research 0502 economics and business 050207 economics computer Finance |
Zdroj: | Finance Research Letters. 20:170-176 |
ISSN: | 1544-6123 |
Popis: | 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. |
Databáze: | OpenAIRE |
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