We develop a method for extracting “other information” from the articulation between bottom-line accounting numbers and stock prices. We posit that “other information” captures future earnings growth originating from conservative accounting recognition principles as demonstrated by Penman and Zhang (2020) and Penman and Zhu (2022), as well as nonzero net present value investment opportunities. Our findings confirm that “other information” is strongly associated with various proxies for expected future earnings growth and firm risk attributes. Furthermore, we show how a structural expected return model incorporating our “other information” estimate can predict out-of-sample future stock returns and generate sizeable long-short return spreads.

We investigate the effects of social trust on foreign institutional investors’ equity holdings in listed Chinese firms from 2005 to 2011. We find that social trust embedded in the regional environment is an important factor for the investment decisions of foreign institutional investors. We also find that the proportion and likelihood of foreign ownership increases with the level of social trust. The results support the notion that social trust and trust-related information help mitigate informational barriers in international equity investments. Our results are robust to alternative measures of social trust and a range of model specifications, including instrumental variable estimation. We document that the effects of social trust on foreign ownership diminishes in the presence of organizational learning, better formal institutional development, conservative financial reporting, and asset transparency. We also show that foreign institutional investors from countries with a common law origin are more likely to incorporate trust-related information in their investment decisions.

Court capture in developing countries is pervasive, yet its economic effects remain underexplored. We study a Chinese reform that transferred financial and personnel authority over local courts from local to provincial governments. Exploiting the staggered roll-out, we find a 7.3% decline in local defendants’ win rates against non-local plaintiffs, alongside improved judicial quality. The reform encouraged smaller non-local firms to litigate and attracted non-local investment, potentially raising GDP by 1.9%. Yet favoritism toward politically connected firms and inter-provincial protectionism remain, and centralization itself promotes less qualified judges— revealing both its promise and limits.

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.

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.