Research Webinar | I/B/E/S Unpacked
I/B/E/S is one of the most widely used sources for analysts' expectations in empirical finance and accounting research. Yet important questions about data provenance, coverage, historical revisions, identifiers, and consensus construction can have significant implications for research design and reproducibility.
In this webinar, we sit down with two product specialists from LSEG to discuss I/B/E/S and its underlying data methodology. Drawing on this institutional knowledge, they address the questions researchers most need answered before building I/B/E/S into their empirical work: How is coverage determined, and where are the gaps? What does the data collection process actually look like, and how has it evolved over time? How should researchers navigate identifiers when linking I/B/E/S to other datasets? And how, precisely, is analyst consensus established?
Whether you're a seasoned I/B/E/S user or working with the data for the first time, this conversation offers practical, methodology-level insight that can strengthen your research design and support more reproducible results.