We introduce a novel measure of CEO depression by applying machine learning models that analyze vocal acoustic features from CEOs' conference call recordings. Our research was preregistered via the Journal of Accounting Research 's registration‐based editorial process. In this study, we validate this measure and examine associated factors. We find that greater firm risk is positively associated with CEO depression, whereas higher job demands are negatively associated with CEO depression. Female and older CEOs show a lower likelihood of depression. Using this novel measure, we then explore the relationship between CEO depression and career outcomes. Although we do not find any evidence that CEO depression is associated with CEO turnover, we find some evidence that turnover‐performance sensitivity is higher among depressed CEOs. We also find limited evidence of higher compensation and higher pay‐performance sensitivity for depressed CEOs. This study provides new insights into the relationship between CEO mental health and career outcomes.

We investigate the impact of observing peers’ information acquisition on financial analysts’ allocation of attention. Using the timely disclosure mandate by the Shenzhen Stock Exchange as a setting, we find that, shortly after analysts observe that a firm has been visited by peer analysts, they reduce short‐term attention to that firm, as indicated by a reduced tendency to conduct follow‐up visits. Nonvisiting analysts who do not conduct follow‐up visits are more likely to discontinue coverage of the visited firm. These findings are consistent with the conjecture that the timely disclosure reveals the first‐mover advantage of visiting analysts, leading nonvisiting ones to reallocate their limited attention. We also find that, compared with the pre‐mandate period, the information environments of visited firms deteriorate immediately after an analyst's visit but not over the longer term. Further evidence suggests that the timely disclosure mandate has positive externalities in the form of increased immediate attention to and improved short‐term information environments of unvisited peer firms.

We use a novel experiment in China to examine the effects of having a quasi-official investor own a small number of shares on specific firm outcomes. We find that, relative to control firms, pilot firms experience an increase in dissenting votes from independent directors, a reduction in tunneling and earnings management activities, and an improvement in merger performance. Independent directors questioned by the quasi-official shareholder in activism events subsequently lose board seats in the director market. Overall, our results shed light on a new mechanism for enhancing the protection of minority shareholders.

This study examines the properties of innovation disclosures contained in new product announcements, a form of voluntary, nonfinancial disclosure. We analyze these properties using a novel, text-based measure of the extent of product innovation disclosed in new product announcements. We find that stock prices react more positively to announcements with more extensive innovation disclosure. In our main analyses, we first find that a higher level of innovation disclosure predicts a greater increase in future sales. We further find that this predictive ability falls when managers have stronger incentives to maximize their wealth and when the corporate governance structure and customers’ bargaining power weaken. Our research enhances the understanding of the properties of managerial voluntary, nonfinancial disclosures and contributes a text-based measure of innovation that captures managerial assessment of the extent of product innovation. This new measure is more generalizable and incrementally informative for firm value and future performance than conventional innovation measures that depend on the existence of patents or research and development expenses.

We examine how cybercrime impacts victims’ risk-taking and returns. The results from our difference-in-differences analysis of a sample of victim and matched non-victim investors on the Ethereum blockchain are in line with prospect theory and suggests that victims increase their long-term total risk-taking after losing part of their wealth, leading to lower risk-adjusted returns in the post-cybercrime period. Victims’ long-term total risk-taking increases because they increase diversifiable risk due to victims’ post-cybercrime withdrawal from altcoins. At the same time, the reduction in risk-adjusted returns correlates with increased trading activity and churn, due plausibly to managing cybercrime exposure. In the cross-section of Ethereum addresses, we show that the most affluent victims take a systematic approach to restore their pre-cybercrime wealth level, while the least affluent victims turn into gamblers. Finally, a parsimonious forensic model explains a good part of the addresses’ probability of being involved in cybercrime, on both the victim and the cybercriminal side.

To mitigate information asymmetry about borrowers in developing economies, digital lenders use machine-learning algorithms and nontraditional data from borrowers’ mobile devices. Consequently, digital lenders have managed to expand access to credit for millions of individuals lacking a prior credit history. However, short-term, high-interest digital loans have raised concerns about predatory lending practices. To examine how digital credit influences borrowers’ financial well-being, we use proprietary data from a digital lender in Kenya that randomly approves loan applications that would have otherwise been rejected based on the borrower’s credit profile. We find that access to digital credit improves borrowers’ financial well-being across various mobile-phone-based well-being measures, including monetary transactions and balances, mobility, and social networks as well as borrowers’ self-reported income and employment. We further show that this positive impact is more pronounced when borrowers have limited access to credit, take loans for business purposes, and obtain more credit.