Analyst Estimates Data Interview Guide
Analyst estimates data interview guide covering consensus, revisions, timestamps, survivorship, surprises, examples, and caveats.
Candidates using revisions, consensus estimates, or surprise signals.
Estimate data is revision-heavy
Analyst estimates change over time, so consensus, dispersion, revision direction, and surprise must be measured point in time.
Publication timestamps matter
A backtest should know when each estimate was published, when consensus changed, and whether the revision was available before trading.
Concrete example
Using final consensus for a historical earnings date can leak later analyst revisions into the past and inflate surprise signals.
Coverage is not uniform
Large companies may have many analysts while smaller names have sparse coverage, creating selection and liquidity effects.
Common mistakes
Candidates often treat consensus as a static number. Estimate data is a time series with revisions, coverage changes, and lags.
Practice the pattern
Use the LeetQuidity curriculum and calibration to turn this topic into a focused practice plan.