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.

We study the mispricing information present in the target prices of US and international analysts. We hypothesize that asymmetry in the value-relevance of the information that managers supply to analysts, combined with asymmetry in the incentives facing analysts to curry favor with managers, leads to analyst-claimed undervaluation being more predictive of future stock returns than analyst-claimed overvaluation. Our empirical tests isolate analyst-claimed mispricing by first removing analysts’ estimates of the cost of equity from the returns implied by target prices and then separating analyst-claimed undervaluation from overvaluation. We find that target prices only predict future returns (at 16 cents to 18 cents on the dollar) when analysts claim undervaluation, not when they claim overvaluation. We also observe that analyst-claimed undervaluation predicts future returns more strongly after firms experience low returns and when macro-driven valuation uncertainty is low.