We find that the stock market underreacts to stock-level liquidity shocks: liquidity shocks are not only positively associated with contemporaneous returns, but they also predict future return continuations for up to six months. Long-short portfolios sorted on liquidity shocks generate significant returns of 0.70% to 1.20% per month that are robust across alternative shock measures and after controlling for risk factors and stock characteristics. Furthermore, we show that investor inattention and illiquidity contribute to the underreaction: while both are significant in explaining short-term return predictability of liquidity shocks, the inattention-based mechanism is more powerful for the longer-term return predictability.

Abstract We document distinctly different clientele effects on investor attention and return responses to information. Macro news crowds out retail investor attention to firms’ earnings news by 49%. For stocks with high retail ownership, macro news dampens earnings announcement returns by 17% and substantially increases post-announcement drift, especially during high VIX periods. In contrast, macro news increases institutional investor attention to scheduled earnings announcements but not their attention to unscheduled analysts’ forecast revisions. The findings confirm the implications of rational inattention models and highlight the importance of considering clientele effects in understanding the effect of news on attention and asset prices.

Abstract We investigate the relationship between investor attention and financial market anomalies. We find that anomaly returns tend to be higher following high-attention days. The result is robust after controlling for the effect of news and in a natural experiment setting in which a stock market regulation and rounding errors generate exogenous variations in attention. An analysis of order imbalances suggests that large traders trade on anomaly signals more aggressively upon observing higher attention. We discuss the extent to which the findings are driven by inattention-driven underreaction, bias amplification, or coordinated arbitrage mechanisms, thereby providing insight into the understanding of anomalies.

Abstract We study how the social transmission of public news influences investors’ beliefs and the securities markets. Using data on social networks, we find that earnings announcements from firms in higher-centrality counties generate a stronger immediate price, volatility, and trading volume reactions. Post-announcement, such firms experience weaker price drift and faster volatility decay but higher and more persistent volume. These findings suggest greater social connectedness facilitates the timely incorporation of news into prices, as well as opinion divergence and excessive trading. We propose the social churning hypothesis, which is confirmed using granular data from StockTwits messages and household trading records.

ABSTRACT Using machine learning–based algorithms, we measure key impressions about sell‐side analysts using their LinkedIn photos. We find that impressions of analysts’ trustworthiness ( TRUST ) and dominance ( DOM ) are positively associated with forecast accuracy, especially after recent in‐person meetings between analysts and firm managers. High TRUST also enhances stock return sensitivity to forecast revisions, especially for stocks with high institutional ownership. In contrast, the impression of analysts’ attractiveness ( ATTRACT ) is only positively associated with accuracy for new analysts or when a firm has a new CEO or CFO. Furthermore, while high DOM helps male analysts’ chances of attaining All‐Star status, it reduces female analysts’ accuracy and the likelihood of winning the All‐Star award. In addition, the relation between TRUST and accuracy is modulated by the disclosure environment and is attenuated by Regulation Fair Disclosure. Our results suggest that face impressions influence analysts’ access to information and the perceived credibility of their reports.

Abstract We investigate how communication within banks affects small business lending. Using travel times between a bank’s headquarters and its branches to proxy for the costs of communicating soft information, we exploit shocks to these travel times—the introduction of new airline routes—to evaluate the impact of within-bank communication costs on small business loans. We find that reducing headquarters-branch travel time boosts small business lending in the branch’s county. Several extensions suggest that new airline routes facilitate in-person communications that boost small-firm lending.

Abstract We show that institutional investors are more likely to invest in firms from regions to which they have stronger social ties but find no evidence that these investments earn a differential return. Firms in regions with stronger social ties to locations with many institutional investors have higher valuations and liquidity. These effects are largest for small firms with little analyst coverage, suggesting that the investors’ behavior is explained by their increased awareness of firms in socially proximate locations. Our results highlight that the social structure of regions affects firms’ access to capital and contributes to geographic differences in economic outcomes. Authors have furnished an Internet Appendix, which is available on the Oxford University Press Web site next to the link to the final published paper online.