As remote auditing remains widespread, the profession is concerned that decreased auditor-client interactions and remote supervision challenges can reduce audit quality. In response, some firms have increased supervisor monitoring of remote auditors. We experimentally examine how two key remote audit factors, the spatial distance between auditors and clients and the frequency of supervisor monitoring, influence auditors’ judgments in creative tasks. We predict and find that working remotely facilitates auditors’ higher-level cognition that enhances creative hypothesis generation and improves decision quality when uncovering a seeded error if monitored less frequently than more frequently. More frequent monitoring constrains auditors, which squashes effort and creativity, diminishing the benefits of working remotely. Working onsite at the client location reduces the sense of psychological distance, thereby diminishing the difference between monitoring frequencies. These findings have implications for audit practice as working remotely can enhance performance on creative problem-solving tasks, but only when monitored less frequently.

We develop and evaluate an accounting-based Loan Portfolio Risk (LPR) variable that captures time-varying contagion effects in default risk for a portfolio of bank loans. Our results show that an Equity-to-LPR ratio (ELPR) is additive in predicting bank failure up to five years in advance, after controlling for all the capital adequacy, asset quality, management experience, earnings, liquidity, and sensitivity to market risks (CAMELS) variables as well as other fundamental-based bank risk measures from prior studies. Further, we find that publicly listed banks with higher ELPR have lower market-implied costs of capital, especially under market stress conditions. We conclude that ELPR captures key aspects of bank risk that are missing in current Basel Committee risk-weighted-asset calculations.

Although activist short sellers can play a crucial role in fraud detection, they have come under scrutiny following accusations of systematically disseminating false negative information. We develop a framework delineating the roles of campaign-specific private information quality and short-selling dynamics in shaping disclosure incentives. We predict that the act of disclosure combined with pre-disclosure stock lending dynamics is informative about the quality of an activist’s private information. We find that increased pre-disclosure shorting intensity is associated with more negative post-disclosure returns, adverse media coverage, and consequential campaign outcomes, including auditor turnover, accounting restatements, class-action lawsuits, and performance-related delistings. Furthermore, elevated short-selling costs and risks magnify the association between pre-disclosure shorting intensity and post-disclosure underperformance. Finally, we examine V-shaped reversals and short covering following activists’ disclosures and find no evidence of systematic manipulation. We conclude that activists disclosing fraud allegations under their own names are discouraged from engaging in “short-and-distort” schemes. Data Availability: Data are available from the sources cited in the text.

Although the increase in non-GAAP earnings metrics has drawn unfavorable attention from regulators and standard setters, it can provide valuable experience for investors. We investigate whether experience with non-GAAP earnings metrics influences investors’ pricing of non-GAAP exclusions. We measure experience as the frequency with which managers or analysts provide non-GAAP earnings over the prior eight quarters and find that experience aids in the pricing of non-GAAP exclusions. Absent prior experience with non-GAAP earnings metrics, investors appear to overestimate the persistence of exclusions at the earnings announcement, which corrects in the following months. Cross-sectional tests suggest that experience facilitates investors’ pricing of non-GAAP exclusions by reducing their information processing costs.

We use a simple k-nearest neighbors algorithm (hereafter, k-NN*) to forecast earnings. k-NN* forecasts of one-, two-, and three-year-ahead earnings are more accurate than those generated by popular extant forecasting approaches. k-NN* forecasts of two- and three-year (one-year)-ahead EPS and aggregate three-year EPS are more (less) accurate than those generated by analysts. The association between the unexpected earnings implied by k-NN* and the contemporaneous market-adjusted return (i.e., the earnings association coefficient (EAC)) is positive and exceeds the EAC on unexpected earnings implied by alternate approaches. A trading strategy that is long (short) firms for which k-NN* predicts positive (negative) earnings growth earns positive risk-adjusted returns that exceed those earned by similar trading strategies that are based on alternate forecasts. The k-NN* algorithm generates an empirically reliable ex ante indicator of forecast accuracy that identifies situations when the k-NN* EAC is larger and the k-NN* trading strategy is more profitable. Data Availability: Data are available from the public sources described in the text.

Prior research suggests that (1) politically active firms have an information advantage over firms that do not engage in the political process but also that (2) politically active firms are more likely to disclose policy-related information. We examine whether there are externalities associated with the processing of political information by politically active firms. We study this question in the setting of intraindustry information transfers around earnings announcements. Measuring firms’ political activism using campaign contributions, we find stronger intraindustry information transfers from politically active firms to their industry peers. These information transfers are stronger when there is more discussion during conference calls of political topics that have industry- or market-wide implications. Similarly, these information transfers are also stronger when there is greater political uncertainty. Our paper highlights an important information externality related to politically active firms’ disclosures and improves our understanding of how politically active firms affect their industries’ information environment. Data Availability: The data used in this study are publicly available from the sources cited in the text.