Using unique new data, we examine whether brokerage trading volume creates a conflict of interest for analysts. We find that earnings forecast optimism is associated with higher brokerage volume, even controlling for forecast and analyst quality, recommendations, and target prices. However, forecast accuracy is also significantly associated with higher volume. When analysts change brokerage houses, they bring trading volume with them, influencing trading volume at the new brokerage. This indicates that analysts drive the volume effects we observe. Consistent with a reward for generating volume, brokerage houses are less likely to demote analysts who generate more volume. Finally, analysts strategically adjust forecast optimism based on expected volume impact. Analysts become more (less) optimistic if their optimistic forecasts in the prior year were more (less) successful at generating volume. However, consistent with higher costs to increasing accuracy, analysts do not update accuracy based on expected volume impact. Overall, our results are consistent with a brokerage trading volume conflict of interest moving analysts towards more optimistic earnings forecasts, despite the volume reward for accuracy.

We study individual investors’ paid news subscriptions. Among individual investors, only 4% of individual-quarters include a news subscription, and 1.2% include a financial news subscription. These low rates mask substantial variation across news sources and over time. Within financial news, approximately 30% of aggregate subscription dollars are spent on crowdsourced news, with the remaining 70% spent on traditional financial news. Subscription dollars vary over time, with crowdsourced news at times matching or exceeding traditional financial news. We also find that subscriptions are correlated with capital market activity. Aggregated payments for subscriptions, particularly for crowdsourced news, are correlated with stock market valuation, trading volume, and investment. Similarly, within individuals, the association between subscriptions and investment is driven primarily by crowdsourced news: subscribing is associated with a $280 increase in quarterly investment. Overall, our findings highlight variation in individual investors’ news subscriptions and their correlated investment activities.

While the production of credit ratings has long been limited mainly to rating agencies (CRAs), recent years have seen the growing popularity of consensus credit ratings crowdsourced from banks (i.e., bank ratings). We provide the first comprehensive examination of the properties and informativeness of bank ratings relative to CRA ratings. We find that bank ratings often deviate from CRA ratings, with over 60% of firm-months having different bank and CRA ratings. These deviations contain useful information. Bank ratings improve out-of-sample prediction of defaults and CRA rating revisions and explain the cross-section of credit spreads. However, bank ratings do not improve out-of-sample prediction of credit excess returns, indicating that current prices incorporate bank rating information. Overall our findings suggest that bank ratings are a useful supplement to traditional credit ratings.