We examine how pre-announcement weather conditions near a firm's major institutional investors affect stock market reactions to firms' earnings announcements. We find that unpleasant weather experienced by institutional investors leads to more delayed market responses to subsequent earnings news. Moreover, unpleasant weather of institutional investors is associated with higher earnings announcement premia. The influence of institutional investors' weather is robust after controlling for New York City weather, extreme weather conditions, and firm local weather. Additional cross-sectional evidence suggests that the strength of this weather effect is related to institutional investors' trading behavior.

We find that the level of short interest in a firm's stock significantly predicts future seasoned equity offers (SEOs). The probability of an SEO announcement increases by 34% (decreases by 49%) for firms in the top (bottom) quintile of short interest. We identify a causal impact of short interest on SEO issuance using a novel instrument for short interest based on future litigation filings in close geographical proximity to hedge fund centers. Our findings suggest that corporate decisions can be triggered by the aggregate trading activity of sophisticated outside investors.

We analyze online stock posts to identify dynamic intercity investment preferences among Chinese investors. By inferring city connections using recent posts on local stocks mentioning other cities, we find that firms in highly connected cities exhibit higher stock valuations, greater turnover, higher idiosyncratic volatility, improved liquidity, and reduced crash risk. The network effects are more pronounced among less visible firms and induce intercity return comovement. Better stock performances in connected cities predict subsequent local stock return reversals as well as elevated intercity retail block trading. Our findings suggest that city connectivity, revealed through social media content, influences firm outcomes, investor behavior, and market efficiency.