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Come on Over: Analyst/Investor Days as a Disclosure Medium

The Accounting Review 2016 91(6), 1725-1750
Our study introduces analyst/investor days, a new disclosure medium that allows for private interactions with influential market participants. We also highlight interdependencies in the choice and information content of analyst/investor days and conference presentations, a well-researched disclosure medium that similarly allows for private interactions. Analyst/investor days are less frequent, but with longer duration and greater price impact than conference presentations. They are mostly hosted by firms that already have opportunities to interact with investors at conferences, but whose complex and diverse activities make the short duration and rigid format of a conference presentation an imperfect solution to these firms' information problems. Analyst/investor days and conference presentations tend to occur in different quarters, consistent with their competing for the time and attention of senior management. When these two mediums are scheduled in close temporal proximity to each other, analyst/investor days diminish the information content of conference presentations, but not vice versa, consistent with managers' favoring analyst/investor days over conference presentations as a disclosure medium. JEL Classifications: D82; M41; G11; G12; G14. Data Availability: Data are publicly available from the sources identified in the paper.

The Value of Crowdsourced Earnings Forecasts

Journal of Accounting Research 2016 54(4), 1077-1110
Crowdsourcing—when a task normally performed by employees is outsourced to a large network of people via an open call—is making inroads into the investment research industry. We shed light on this new phenomenon by examining the value of crowdsourced earnings forecasts. Our sample includes 51,012 forecasts provided by Estimize, an open platform that solicits and reports forecasts from over 3,000 contributors. We find that Estimize forecasts are incrementally useful in forecasting earnings and measuring the market's expectations of earnings. Our results are stronger when the number of Estimize contributors is larger, consistent with the benefits of crowdsourcing increasing with the size of the crowd. Finally, Estimize consensus revisions generate significant two‐day size‐adjusted returns. The combined evidence suggests that crowdsourced forecasts are a useful supplementary source of information in capital markets.