Evidence is provided of security analyst (SA) superiority relative to univariate time-series (TS) models in predicting firms' quarterly earnings numbers. It is demonstrated that SA forecast superiority in the sample is attributable to: 1. better use of information that exists on the date that TS model forecasts can be initiated, a contemporaneous advantage, and 2. use of information acquired between the date of initiation of TS model forecasts and the date when SA forecasts are published, a timing advantage. The findings that SA forecasts out-predict TS model forecasts do not suggest that SA forecasts are superior measures of expectations to be employed in "event" or "information content" studies. The important criterion for evaluating expectation models for these studies is unexpected returns that are associated with information arrival, rather than predictive ability.