Using brokerage mergers and closures as two sources of exogenous shock to analyst coverage, this study explores the causal effect of analyst coverage on ex ante expected crash risk as captured by the options implied volatility smirk. We find a significant increase in a firm's ex ante expected crash risk subsequent to an exogenous drop in analyst coverage; this positive effect is stronger for firms initially receiving less coverage. Further, we find analysts' ability matters to investors' assessment of future crash risk. Specifically, we find the impact is more pronounced for the coverage terminations of analysts with more firm-specific or general experience, with greater access to resources, or whose prior forecasts are more accurate than those of their peers. Overall, our results suggest that investors in the options market do recognize analysts as important information intermediaries and monitors and, thus, that analyst coverage influences the underlying stock's expected crash risk.

The study investigates the impact of collective empathy on corporate green innovation from the perspective of war heritage. Drawing on stakeholder theory and empathy theory, we argue that collective empathy fosters corporate green innovation by generating public emotional empathy toward local descendants of war victims and enhance cognitive empathy within firms regarding the environmental needs of local communities. Analyzing data from Chinese-listed firms in heavily polluting industries between 2010 and 2019, we find that collective empathy significantly encourages green innovation efforts. Mechanism analyses indicate that collective emotional and cognitive empathy serve as key pathways in this relationship. Furthermore, state-owned ownership and formal institutions reinforce and complement the positive effect of collective empathy on corporate green innovation.

We analyze a model in which an anomaly is unknown to arbitrageurs until its discovery, and test the model implications on both asset prices and arbitrageurs’ trading activities. Using data on 99 anomalies documented in the existing literature, we find that the discovery of an anomaly reduces the correlation between the returns of its decile-1 and decile-10 portfolios. This discovery effect is stronger if the aggregate wealth of hedge funds is more volatile. Finally, hedge funds increase (reverse) their positions in exploiting anomalies when their aggregate wealth increases (decreases), further suggesting that these discovery effects operate through arbitrage trading.

Algorithm designers increasingly optimize not only for accuracy, but also for the fairness of the algorithm across pre-defined groups. We study the tradeoff between fairness and accuracy for any given set of inputs to the algorithm. We propose and characterize a fairness-accuracy frontier, which consists of the optimal points across a broad range of preferences over fairness and accuracy. Our results identify a simple property of the inputs, group-balance, which qualitatively determines the shape of the frontier. We further study an information-design problem where the designer flexibly regulates the inputs (e.g., by coarsening an input or banning its use) but the algorithm is chosen by another agent. Whether it is optimal to ban an input generally depends on the designer's preferences. But when inputs are group-balanced, then excluding group identity is strictly suboptimal for all designers, and when the designer has access to group identity, then it is strictly suboptimal to exclude any informative input.

We derive and test q-theory implications for cross-sectional stock returns. Under constant returns to scale, stock returns equal levered investment returns, which are tied directly to firm characteristics. When we use generalized method of moments to match average levered investment returns to average observed stock returns, the model captures the average stock returns of portfolios sorted by earnings surprises, book-to-market equity, and capital investment. When we try to match expected returns and return variances simultaneously, the variances predicted in the model are largely comparable to those observed in the data. However, the resulting expected return errors are large.

This paper introduces the “financing purposes (FP) channel”, a new channel through which uncertainty affects the effectiveness of monetary policy. Using U.S. bank-firm-loan-level data from 1990 to 2019, we examine how firms adjust FP in response to monetary policy shocks and how this response varies with the level of macroeconomic uncertainty. We find that firms demand more bank loans for investment-related purposes during monetary expansion, but this tendency diminishes notably when uncertainty spikes. A counterfactual analysis suggests that heightened uncertainty explains almost half of the decline in the share of productive loans during the Great Recession. Our results are not driven by banks’ credit supply and are more pronounced for more financially constrained firms and those with a higher degree of investment irreversibility, aligning with the real options theory and financial frictions channel. We also show that FP positively predicts real activities such as investment and employment growth, indicating that high uncertainty weakens the monetary policy transmission via the financing purposes channel.

Financial distress is a prevalent issue among the youth. An influential stream of literature has argued that religion wields significant influence over human life. Using a representative sample of U.S. young people, we explore whether religiosity matters for financial distress. To deal with endogeneity issue, we exploit arguably exogeneous within-school variation in adolescents’ peers. By instrumenting an adolescent's own religiosity with the religiosity of their school peer group, we find that higher levels of religiosity causally and significantly reduce the likelihood of financial distress at young adulthood. Our results withstand a variety of robustness checks. To shed light on the mechanisms, we explore the impact of religiosity on an individual's sociability and various psychological attributes. We find that more religious individuals hold higher levels of self-control, a crucial attribute that aids in averting financial distress. Our study contributes to the literature by providing rigorous causal evidence that identifies religiosity as a meaningful predictor of reduced financial distress among young adults.

Fund managers tilt towards stocks from the location of their tertiary education (education province). We find that, compared with their peers, fund managers overweight stocks headquartered in their education provinces. This overweighting differs from other biases, such as local bias, hometown bias, and educational ties, and is detrimental to fund performance. Funds with more education-province bias have poorer fund performance and higher idiosyncratic risk than those with less bias. Further analysis shows that education-province bias is more evident during poor market times, among underperforming funds, for stocks with less information asymmetry, in economically depressed provinces, and when fund managers are educated at lower-ranked institutes. Overall, our findings suggest that education-province bias is largely attributed to fund managers’ familiarity bias.

We show that hedge fund managers who more actively and astutely adjust the political sensitivity of their portfolios, in line with the dynamic U.S. political landscape, improve their investment performance. Funds that tilt their portfolios toward market segments expected to perform better during the new political regime, specifically around U.S. Presidential elections, generate significantly higher alphas. Further, hedge fund families with greater responsiveness to political changes exhibit persistently superior performance and are more likely to survive. Hedge fund investors reward more responsive fund managers with greater inflows.

We collect worker month-level panel data from two companies in Beijing for a two-year period before and after the opening of a nearby subway station, which significantly improved public transportation commutes for some workers. We find a significant difference-in-differences increase (12.6% of the standard deviation) in bonus pay, which is strongly correlated to worker-level performance measures, for affected workers relative to unaffected coworkers. We find no evidence that the improved performance is a result of affected workers spending extra time at the workplace. We find suggestive evidence for a relative decline in turnover, consistent with a gain in utility for affected workers.