Alastair Lawrence

Yahoo Finance Search and Earnings Announcements

We use Yahoo Finance search to examine the effects of investor attention at earnings announcements. We find that Yahoo Finance search at earnings announcements is a major factor explaining earnings responses and is predictive of subsequent returns. Moreover, we show that other measures of investor attention (e.g., Google search, EDGAR search) are less informative in explaining earnings responses and subsequent returns. The findings suggest the importance of investor attention, and in particular, retail attention in the pricing of financial information.

Earnings Announcement Promotions: A Yahoo Finance Field Experiment

This study presents a field experiment in which media articles for a random sample of firms with earnings announcements are promoted to a one percent subset of Yahoo Finance users. Promoted firms have higher abnormal returns and some evidence of lower bid-ask spreads on the day of the earnings announcement. These results are more pronounced for less visible firms, negative earnings news, and on days with fewer promoted firms. These findings suggest that investor attention affects the pricing of earnings and that retail investors buy stocks that catch their attention, in a setting where attention is randomly assigned.

Investor Reliance on the Crowd

Using Yahoo Finance search data, we document that when investors search for investment information they by far and large rely on the information of crowds. The results indicate that this reliance significantly varies across industries, and is most pronounced in firms with greater uncertainty and weaker information environments. Moreover, significant increases in the reliance on message boards consistently predict future negative stock returns and increases in information asymmetry, suggesting that investors’ increasing reliance on crowds provides insights into their expectations of firm performance and future sell-offs.

Managers’ Cost of Equity Capital Estimates: Empirical Evidence

Using actual practice data from U.S. corporate treasury executives, we provide initial evidence of managers’ internal estimates of their firms’ cost of equity capital (COEC) and extrapolate managers’ estimation practices to the broader population of public firms. Our study provides insights into the assumptions managers use in applying the capital asset pricing model (CAPM), the model that managers generally use to estimate their firms’ COEC according to prior research. We show that COEC estimates based on managers’ surveyed estimation practices are positively correlated with realized returns only in the pre-survey period, suggesting that managers set their COEC estimates in a backward-looking manner. Moreover, managers’ estimates are most correlated with estimates reverse-engineered following Easton, (2004) and Gode and Mohanram (2003).