Investor relations officers (IROs) play a central role in corporate communications with Wall Street. We survey 610 IROs at U.S. public companies and conduct 14 follow-up interviews to deepen our understanding of the role of IROs in corporate disclosure events. Three important themes emerge from our results: (i) the value, nature, and timing of private communication between IROs, analysts, and investors; (ii) the significant influence IROs have on corporate disclosures; and (iii) the degree of “theater” involved in public earnings conference calls, even the Q&A portion. We provide insights into the investor relations, analyst, institutional investor, and disclosure literatures.

We survey 344 buy-side analysts from 181 investment firms and conduct 16 detailed follow-up interviews to gain insights into the activities of buy-side analysts, including the determinants of their compensation, the inputs to their stock recommendations, their beliefs about financial reporting quality, and the role of sell-side analysts in buy-side research. One important finding is that 10-K or 10-Q reports are more useful than quarterly conference calls and management earnings guidance for determining buy-side analysts׳ stock recommendations. Our results also suggest that sell-side analysts add value by providing buy-side analysts with in-depth industry knowledge and access to company management.

This paper provides evidence of security analyst (SA) superiority relative to univariate time-series (TS) models in predicting firms' quarterly earnings numbers and shows that SA forecast superiority in our sample is attributable to: (1) better utilization of information existing 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.

This study examines the association between abnormal returns and five alternative proxies for the market's assessment of unexpected quarterly earnings. We examine the role that measurement error potentially has in multiple regression tests of abnormal returns (occuring around the time of earnings announcements) on an unexpected earnings proxy and other non-earnings variables. The results indicate a potential measurement error interpretation of such multiple regression tests. We examine three procedures which reduce, to an unknown degree, the measurement error problem. Our procedures appear to be more (less) effective at reducing measurement error for small (large) firms and recent (non-recent) forecasts.