Knowledge that Transforms

We examine firms' trade‐offs in their voluntary disclosure decisions following negative media coverage of climate change incidents. By combining a keyword discovery algorithm and a fine‐tuned BERT model, we identify “hard” and “soft” climate disclosures on Twitter. Our findings indicate that firms tend to issue climate tweets as a rapid response to negative climate incidents. Additionally, firms with a history of hard climate change disclosure, as measured by ESG reports, are more likely to issue climate‐related responses than firms without such a history. Furthermore, we show that prior hard disclosure is associated with hard responses when the incident receives moderate media attention, but with soft responses when the incident receives low media attention. Our findings provide empirical insights for dynamic disclosure theory by illustrating how prior disclosure shapes firms' response strategies to negative media coverage.

We present the first comprehensive descriptive evidence on the labor market and personal consequences for audit professionals in the United States who are named in SEC or PCAOB enforcement actions. Three key findings emerge. First, between 38% and 73% of culpable auditors depart from their firms within one year after the enforcement event. These departure rates are three to four times higher compared with a sample of non‐culpable auditors. Second, 83% of culpable auditors departing from Big 4 accounting firms exit the profession, compared with 58% of a departing non‐culpable comparison group. In contrast, about 77% of the culpable auditors leaving non–Big 4 accounting firms remain in public accounting, compared with 51% of a departing non‐culpable comparison group. Third, using novel data on personal real estate holdings, we find that culpable auditors do not appear to engage in markedly different transactions around enforcement compared with a comparison sample of non‐culpable individuals.

Patent applications often reveal proprietary information to competitors, but does such disclosure harm firms or also benefit them? We develop and empirically support a theory showing that when firms patent enhancements to incumbent, nondisruptive technologies, they can cooperate more easily on these technologies, increasing their profitability. The downside of cooperating on nondisruptive technologies is that the investment in and commitment to disruptive technologies decline. To improve their commitment to disruptive technologies, some firms rely more on trade secrecy. We provide empirical support for these predictions. We document that after a patent reform that made information about patent applications widely accessible, firms cooperate more and charge higher markups. Furthermore, the nature of patented innovation has changed, with the proportion of nondisruptive patents increasing substantially. Finally, while some firms start patenting more, others patent less and rely more on trade secrecy, with the response depending on the attractiveness of firms' innovation prospects.

Classification of financial statement elements into categories is an inherent, integral part of the financial reporting system. Although prior research documents that categories influence users’ perceptions of included items, we explore the reverse effect—how classifying items in a category can impact perceptions of the category itself and its other members. Using categorization theory from psychology and accounting literature and exploiting the classification challenges inherent to the crypto asset setting, we predict and find that classifying individual items into a category can impact equity analysts’ perceptions of the category itself and perceptions of the category's other members. We also explore the boundaries of this effect and find that categories like intangibles, with fewer common prototypical features, are more susceptible to these classification effects. Our results show several ways in which balance sheet classification could lead to unintended consequences for users.

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.

Using consumer complaints filed with the Consumer Financial Protection Bureau as a measure for the quality of financial products and services, we present evidence of racial disparities in the service quality received by consumers. Consumers in high‐minority communities file more complaints than those in low‐minority communities, and the racial gap in financial complaints increased by more than 60% during the COVID‐19 pandemic. Using a triple‐difference approach, we establish the role of corporate social attitudes, reflected in, for example, inclusive promotion practices and diversity in leadership, in mitigating the complaint racial gap and its pandemic‐period increase. Our results shed light on how inclusive corporate culture filters through an organization to benefit minority communities and underscore the effect of corporate social attitudes on important stakeholder outcomes.

We estimate the prevalence and drivers of short squeezes after short‐selling attacks. Positive returns after attacks have a disproportionate tendency to fully reverse and are accompanied by heightened short covering, consistent with the presence of short squeezes. We assess and find no support for non‐squeeze drivers of these positive return reversals and show they are more likely to be accompanied by squeeze‐related news articles, increased stock volatility, and disruptions in the stock lending market. Using positive return reversals as a proxy for short squeezes, we estimate that 15% of short attacks experience squeezes, and squeeze risk increases with short sellers’ visibility but decreases with the credibility of their evidence. Additionally, squeezes appear to be precipitated by actions of firms and investors, including insider purchases, share recalls, retail investor trading, and firm disclosures. Our findings quantify a material risk and check on activist short selling and are especially timely given recent proposed short‐selling restrictions.

This registered report investigates self‐directed retail investors' information choices and trading decisions on an integrated trading platform that provides timely and convenient access to accounting information. The analyses reveal that these investors access a mosaic of information, with a high proportion not firm‐specific. In accessing accounting disclosures, retail investors are more interested in media articles providing summaries or expert analyses than original filings. Retail trades on this integrated trading platform are more informed than another retail trading platform providing little information services while exhibiting no significant differences in informativeness compared with institutional trades using Bulge Bracket platforms. In particular, trade informativeness is more pronounced when there are accounting disclosures. The evidence suggests that self‐directed retail investors can benefit from a trading environment that provides rich and convenient access to a mosaic of information, particularly timely accounting disclosures.

Stakeholders in the Chapter 11 reorganization process face significant information uncertainty about the post‐emergence prospects of the firm. The U.S. Bankruptcy Code requires a debtor to provide a disclosure statement containing “adequate information” about its financial status and a proposed reorganization plan but stops short of rigidly defining the adequacy standard. We document the heterogeneity in disclosure statement information across 16 distinct attributes and examine the variation in disclosures along several dimensions that reflect agency costs and coordination problems. We observe that Chapter 11 disclosure correlates more with claimant‐ and case‐specific characteristics than pre‐bankruptcy debtor characteristics. Our results illustrate the importance of institutional features in specific disclosure settings such as bankruptcy court filings. The research questions and methods of this study were registered via the Journal of Accounting Research ’s registration‐based editorial process.

Upward influencers, employees who are more favorably perceived by their supervisors than their peers and subordinates, are predicted by economic and accounting theories and are found to be ubiquitous in many organizations. Despite their prevalence, the role of upward influencers in teams remains underexplored. This paper fills this void by using proprietary data from a service‐providing organization that allows for the identification of upward influencers based on its 360‐degree person evaluation. We find an inverted U‐shaped relationship between the fraction of upward influencers in a team and team performance. In cross‐sectional analyses, we show that this relationship is driven by conditions when the need for collaboration and information sharing is high and when managers are less experienced. Additional tests exploring the mechanisms for the role of upward influencers in teams suggest that they impair team horizontal relationships through lowering the willingness to communicate, share knowledge, and offer mutual assistance among team members. Yet, teams with upward influencers build better vertical relationships with supervisors, which, in return, is associated with supervisors allocating more of their time to provide team members with feedback and guidance. Taken together, this study contributes to the understanding of upward influencers in teams.