We present new evidence that highlights the role of information intermediaries in the distribution and processing of earnings estimates in capital markets. We find that the time taken to activate an analyst's earnings forecast in the Thomson Reuters Institutional Brokers’ Estimate System is related to measures of investor demand for timely information processing, processing difficulty, and limited attention. Furthermore, we find that forecast announcement returns are muted and post-announcement drift is magnified for forecasts with longer unexpected activation delay and that market inefficiency is concentrated in neglected stocks and potentially exploitable. Finally, analyzing intraday returns, we find that activations facilitate price discovery.

We explore whether managers’ strong desire for good performance distorts their expectations and, consequently, corporate investment efficiency. We find that managers overweight favorable information and underweight unfavorable information, resulting in optimistic earnings guidance. We construct an ex ante measure of optimism and show that greater optimism is associated with a lower inventory investment efficiency: Managers overinvest in inventory, resulting in lower inventory turnover and increased incidence and severity of inventory writedowns. We also find motivational optimism influences firms’ financial reporting and is associated with an increased incidence of financial misreporting. Our results are consistent with the psychology theory of motivated reasoning, which emphasizes the distortive effects of preferences on beliefs and judgments.

We use employee predictions of their companies' six-month business outlook from Glassdoor.com to assess the information content of employee social media disclosures. We find that average employee outlook is incrementally informative in predicting future operating performance. Its information content is greater when the disclosures are aggregated from a larger, more diverse, more knowledgeable employee base, consistent with the wisdom of crowds phenomenon. Average outlook predicts bad news events more strongly than good news events, suggesting that employee social media disclosures are relatively more important as a source of bad news. Consistent with the organizational theory, we find systematic differences in the quantity and nature of the information in employee disclosures when the disclosures are grouped based on employee attributes and job responsibilities. Finally, average outlook predicts future returns of firms that attract less attention by analysts and investors, suggesting that investors in these firms use outlook inefficiently.

Sell-side quantitative equity research analysts (Quants) conduct econometric analyses of stock returns to uncover market anomalies and assist equity analysts and institutional clients with stock selection. We present novel evidence that establishes their role in helping analysts and mutual fund clients discover market anomalies and capital markets evolve toward greater pricing efficiency. Specifically, we find that analysts and mutual fund clients with greater access to Quants make recommendations and trades that reveal greater knowledge of anomalous cross-sectional return predictability. More importantly, cross-sectional return predictability is weaker in stocks that have higher coverage (ownership) by analysts (mutual fund clients) with access to Quants, and strengthens when quasi-exogenous brokerage house closures reduce the availability of Quants.

We examine how increased competition stemming from an innovation in financial technology influences sell-side analyst research quality. We find that firms added to Estimize, an open platform that crowdsources short-term earnings forecasts, experience a pervasive and substantial reduction in consensus bias and a limited increase in consensus accuracy relative to matched control firms. Long-term forecasts and investment recommendations remain similarly biased, alleviating the concern that the documented reduction in bias is a response to broad economic forces. At the individual analyst level, we find that bias reduction is more pronounced among close-to-management analysts, and that more biased analysts respond by reducing their coverage of Estimize firms. The collective evidence suggests that competition from Estimize improves sell-side research quality by discouraging strategic bias.

We examine the determinants and consequences of broker-hosted investor conferences. We find the number of brokers hosting a firm at conferences is positively related to institutional ownership and intangible assets, consistent with greater client demand for management access among hard-to-value firms. Younger firms and those that issue equity in the future attend more conferences, suggesting firms view conference participation as a means to enhance investor recognition. Hosting brokers are rewarded with increased commission revenue. Commission share increases by 0.61% during the conference week, with larger increases following more informative conference disclosures. Firms also benefit from conference participation. In the subsequent year, conference firms are followed by an additional 0.34 analysts, undergo a 6% reduction in bid-ask spread, and experience a 0.03 increase in Tobin׳s q.

We study the effects of social media on the informativeness of retail trading. Our identification strategy exploits the editorial delay between report submission and publication on Seeking Alpha, a popular crowdsourced investment research platform. We find the ability of retail order imbalances to predict the cross-section of stock returns and cash-flow news increases sharply in the intraday post-publication window relative to the pre-publication window. The findings are robust to controlling for report tone and stronger for reports authored by more capable contributors. The evidence suggests that recent technology-enabled innovations in how individuals share information help retail investors become better informed.

We examine whether access to management at broker-hosted investor conferences leads to more informative research by analysts. We find analyst recommendation changes have larger immediate price impacts when the analyst׳s firm has a conference-hosting relation with the company. The effect increases with hosting frequency and is strongest in the days following the conference. Conference-hosting brokers also issue more informative, accurate, and timely earnings forecasts than non-hosts. Our findings suggest that access to management remains an important source of analysts׳ informational advantage in the post-Regulation Fair Disclosure world.