Knowledge that Transforms

We are among the first to investigate how Generative AI (GenAI) shapes investors' trading activities. Using an AI‐sentiment measure extracted from earnings‐call transcripts to proxy for textual signals, we find notable shifts in trading behaviors around earnings calls. Before the wide deployment of ChatGPT, short selling was aligned with AI‐sentiment, whereas retail trading was not. However, following ChatGPT's deployment, the alignment of retail traders with AI‐sentiment significantly increases, while the alignment of short sellers weakens, albeit insignificantly. Stocks with higher information processing costs exhibit a more pronounced increase in retail trading alignment, scenarios where retail investors are likely to benefit more from AI. Using retail‐AI alignment as a proxy for the extent to which retail investors trade based on AI signals, we show that information asymmetry declines and retail investors' trading profitability improves, whereas short sale profitability declines in high retail‐AI alignment stocks. Exogenous outages reduce the alignment between retail trading and AI‐sentiment, allowing us to draw causal inferences. Collectively, this study suggests that AI is a promising technology for narrowing the information gap in the trading of complex textual financial disclosures between investor classes with clear disparities in the ability to process public disclosures.

The engagement quality review is a key component of an audit firm's quality control system. This study leverages unique data on individual engagement quality reviewers (EQRs) to examine how previous shared working experience between EQRs and engagement partners affects audit quality. While prior research suggests that within‐firm network ties between predecessor and successor partners facilitate knowledge transfer, we find that prior shared working experience between EQRs and engagement partners is associated with lower audit quality. Mechanism tests indicate that such experience is associated with a higher likelihood of regulatory enforcement actions related to deficiencies in audit procedures, insufficient evidence, and a lack of professional skepticism. We also find that such experience corresponds with higher materiality thresholds, suggesting reduced scrutiny during audit planning and execution. Additional analyses reveal that these adverse effects primarily arise when previous shared working relationships did not produce adverse outcomes, when EQRs are not audit industry leaders, and when they face lower reputational risk. These findings are especially salient given that EQRs’ previous shared working experience with engagement partners appears to weigh heavily in EQR assignments. Overall, our study provides important insights into the implications of EQR independence and the determinants of engagement quality review effectiveness.

We examine whether and, if so, how retail consumers change their shopping in response to firm‐specific negative environmental, social, and governance (ESG) news. Using an event study methodology, we do not find significant changes in consumer foot traffic in response to negative ESG news, on average. However, the average consumer reacts negatively when such news is covered by national or global media outlets, which elevates consumer awareness. In addition, we provide evidence of the heterogeneity in responses to negative ESG news across consumer groups. Consumers in more ESG‐conscious counties, as measured by county ESG preferences, income, education, and political ideology, reduce store visits in response to negative ESG news. In contrast, consumers in the least ESG‐conscious counties increase their visits in response to negative ESG news. These opposing reactions explain the insignificant average consumer response to negative ESG news. Furthermore, the ESG‐conscious consumers' negative reaction is, at most, modest, dissipating within six weeks. Overall, our findings suggest that firms face divergent responses to ESG activities from different consumer groups, underscoring the divisive nature of ESG issues.

This study investigates the relation between audit competition, audit quality, and auditor labor hours. Using proprietary data on auditor realization rates, we construct new measures of competition based on theory predicting that abnormal profits will quickly disappear when competition is high but persist over multiple periods when competition is low. We find consistent evidence of persistent abnormal profits among U.S. Big 4 engagements and that individual offices earn persistent abnormal returns, suggesting that the market is not perfectly competitive. Examining the consequences of lower competition, we find that profit persistence is negatively related to audit hours and positively related to audit quality. Although we are cautious about inferring causality, our findings suggest that lower competition is associated with more efficient and effective audits.

We investigate the dynamics of internal forecasting in multi‐location firms and the relations between forecast characteristics and investment. Using U.S. Census microdata on plant‐level growth expectations, we find that plants within multi‐location firms make forecasts that are both more certain and less accurate than those of standalone plants. We provide evidence suggesting that headquarters infers uncertainty from inter‐plant forecast disagreement, and that headquarters is able to facilitate the use of relevant information held by one plant but applicable to another. Differences between peer and focal plants' forecasts predict forecast errors and relate to investment decisions at the focal plant, suggesting that information from multiple sources is integrated into capital allocation decisions. Headquarters' heavier use of peer plant forecast information when focal plants are more uncertain likely weakens focal plant managers' incentives to consider extreme scenarios when forecasting.

We synthesize evidence from six papers presented at the 2025 Journal of Accounting Research Conference on how generative artificial intelligence (GenAI) is reshaping capital‐market information flows. Our discussion is organized around an economic framework with three layers: information production by firms and accounting professionals, information dissemination through intermediaries, and information processing by investors. Across these layers, the conference papers show that GenAI can lower preparation costs, improve intermediary productivity, and reduce investors’ processing costs. At the same time, they point to a common constraint: whether GenAI improves the information environment depends critically on information verification costs. We also highlight gaps in current evidence and outline future research opportunities within and across the three layers.

Policy makers and researchers are concerned that the expected credit loss (ECL) approach may exacerbate procyclicality. Using administrative loan‐level and firm‐level data in China, we find that banks adopting the ECL model reduced their credit supply and became more prudent in lending decisions after the onset of the COVID‐19 pandemic, compared to banks using the incurred credit loss (ICL) approach. Our findings are more pronounced for banks that experienced greater loan loss provisions induced by ECL and for firms with higher credit risk. The credit contraction persisted throughout our sample period. We further document that firms more exposed to ECL banks experienced larger reductions in loans, assets, liabilities, and revenue after the pandemic began than those more exposed to ICL banks. These findings support the conjecture that the ECL approach may exacerbate procyclicality.

This study investigates (1) whether misreporting by corporate executives impacts unethical decision‐making by non‐peers in unrelated reporting tasks, and (2) whether observing various forms of punishment for corporate misreporting deters this spillover effect. Specifically, we examine the deterrent effects of two common forms of punishment (fines or imprisonment) and a novel form of punishment (public shaming). Across two experiments, we find that participants are more likely to misreport performance when exposed to media reports about executives engaging in financial misreporting. This evidence is consistent with executive misreporting leading to unethical decision‐making among non‐peer observers. We also find that participant misreporting is reduced when the media reports the punishments levied against those executives. In further mediation tests, our findings suggest observed punishments for corporate misconduct can influence perceptions of injunctive norms and potentially mitigate spillover in unethical behavior.

Capital flows increase in response to new public information. Conventional explanations typically conclude that this reflects a rational response to reduced risk. However, investors may also be overconfident in their ability to benefit from new information, even when it is publicly available and does not provide a relative advantage. We exploit two complementary settings to examine how this “better‐than‐average” mechanism affects capital flows. Archival evidence from horse race betting markets shows capital flows increase following the public provision of a summary measure of horse performance, even though more total parimutuel wagering necessarily implies a greater wealth transfer from bettors to tracks. A controlled lab experiment provides direct causal evidence of our proposed mechanism. Combined, our results suggest that new public information can increase capital flows due to investors’ overconfidence in their ability to benefit from information relative to others. Our findings inform regulators seeking to understand the consequences of expanding the public information available to individual investors.

We examine whether the local administration of sales taxes (as opposed to a more streamlined state administration) affects the real economy for businesses complying with the tax. We study this question in the Florida hotel industry, as counties in Florida can choose to locally administer the county‐level tourist tax or have the state administer the county‐level tax along with the state‐level tourist tax. Local administration is popular because it supports local employment (of tax administrators) and provides more stringent enforcement on non‐commercial operators (e.g., private rentals). State administration, however, has fewer compliance costs for hotels (e.g., reduced filings and fewer audits). Commentary from the profession suggests the incremental compliance costs of local administration can be considerable. We find that counties switching from state to local administration of tourist taxes is associated with slower growth in aggregate hotel payroll and employment, consistent with local tax administration increasing compliance costs to the point that affected businesses cut other services.