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The informational content of key audit matters: Evidence from using artificial intelligence in textual analysis

Contemporary Accounting Research 2025 42(4), 2392-2423 open access
This study provides empirical evidence that key audit matters (KAMs) are informative for future negative accounting outcomes. We employ FinBERT—a deep learning model designed for natural language processing that allows human‐like text comprehension—to demonstrate that goodwill‐related KAMs are predictive of firms' future impairments. Our findings reveal that utilizing KAMs as a stand‐alone predictor for future impairments provides meaningful predictive power. By exploring the semantic content of reported KAMs, we find that their predictive power is primarily driven by text passages covering how both the firm and the auditor exercise judgment in the accounting and auditing of goodwill. Furthermore, we show that KAMs are incrementally predictive beyond several firm‐level determinants and disclosures in annual reports. Finally, our additional analyses indicate that (1) KAM‐predicted impairment probabilities are relevant to capital markets, (2) KAMs are useful for predicting the magnitude of goodwill impairments, and (3) the predictive power extends to other KAM topics. Collectively, our findings enhance the understanding of the informational content of KAMs, which is a key rationale for their introduction.

A double-edged sword: materiality classifications of sustainability topics

Review of Accounting Studies 2025 30(4), 3596-3639 open access
The Sustainability Accounting Standards Board (SASB) has classified sustainability topics as material or not material for investors. We leverage the staggered release of the SASB classifications from 2013 to 2016 to examine whether and how they prompt changes in U.S. firms' sustainability performance. We measure sustainability performance using RepRisk scores, which reflect environmental, social, and governance (ESG) incidents. We find that RepRisk scores on sustainability topics classified as material decrease following the release of SASB classifications. Conversely, incident scores on nonmaterial sustainability topics increase. This suggests that firms improve their sustainability performance on topics the SASB deems relevant for investors while simultaneously performing worse on irrelevant topics. Firms adjust their internal sustainability policies to mirror these changes. The changes in sustainability performance occur primarily through two channels. We document that higher exposure to the classifications from shareholder pressure and sustainability-linked executive compensation prompts managers to prioritize sustainability topics classified as relevant for investors over irrelevant ones.