The Financial Accounting Standards Board (FASB) and International Accounting Standards Board (IASB), in their joint Financial Statement Presentation project, are reconsidering the basic format of financial statements. The Boards’ preliminary discussions related to this joint project indicate that they intend to modify the required financial statements to increase the proximity of performance‐related information for each reported period. We provide evidence related to this potential change by investigating the effects of financial statement information proximity on investors’ ability to learn the forecast‐relevant time series properties of reported cash flows and accruals. We also examine the role feedback plays in this relationship. Our experimental results suggest that nonprofessional investors are able to more quickly learn the relation between current period cash flows and accruals and future cash flow realizations when financial statement information is presented in a single statement rather than separated into two statements. In addition, we find that nonprofessional investors exhibit lower levels of absolute forecast errors and less forecast dispersion when financial statement information is unified into a single statement. Finally, we provide evidence that nonprofessional investors who receive extensive outcome feedback on a single page initially learn more quickly and later, after learning has leveled off, accurately forecast more consistently than do investors who receive extensive or limited feedback spread across two pages. Overall, our results provide evidence on the effectiveness of alternate financial statement presentation formats and the potential usefulness of receiving more extensive feedback.

The Financial Accounting Standards Board (FASB) and International Accounting Standards Board (IASB), in their joint Financial Statement Presentation project, are reconsidering the basic format of financial statements. The Boards’ preliminary discussions related to this joint project indicate that they intend to modify the required financial statements to increase the proximity of performance‐related information for each reported period. We provide evidence related to this potential change by investigating the effects of financial statement information proximity on investors’ ability to learn the forecast‐relevant time series properties of reported cash flows and accruals. We also examine the role feedback plays in this relationship. Our experimental results suggest that nonprofessional investors are able to more quickly learn the relation between current period cash flows and accruals and future cash flow realizations when financial statement information is presented in a single statement rather than separated into two statements. In addition, we find that nonprofessional investors exhibit lower levels of absolute forecast errors and less forecast dispersion when financial statement information is unified into a single statement. Finally, we provide evidence that nonprofessional investors who receive extensive outcome feedback on a single page initially learn more quickly and later, after learning has leveled off, accurately forecast more consistently than do investors who receive extensive or limited feedback spread across two pages. Overall, our results provide evidence on the effectiveness of alternate financial statement presentation formats and the potential usefulness of receiving more extensive feedback.

Le Financial Accounting Standards Board (FASB) et l’International Accounting Standards Board (IASB), dans leur projet conjoint de norme relative à la présentation des états financiers, remettent à l’étude les éléments de base de la présentation des états financiers. Les discussions préliminaires des deux organismes dans le cadre de ce projet indiquent qu’ils entendent modifier les états financiers exigés de manière à accroître la proximité de l’information liée à la performance relative à chaque période. Les auteurs apportent des preuves en ce qui a trait à ce changement potentiel en analysant l’incidence de la proximité de l’information contenue dans les états financiers sur la capacité des investisseurs d’assimiler les propriétés sérielles des données relatives aux flux de trésorerie et aux régularisations qui sont présentées, pertinentes à la formulation de prévisions. Ils examinent également le rôle que joue l’information rétroactive dans cette relation. Les résultats expérimentaux de l’étude semblent indiquer que les investisseurs non professionnels sont en mesure d’assimiler plus rapidement la relation entre les flux de trésorerie et les régularisations de la période courante et la matérialisation des flux de trésorerie futurs lorsque l’information contenue dans les états financiers est présentée dans un seul état plutôt que lorsqu’elle est subdivisée en deux états. Les auteurs constatent en outre que les investisseurs non professionnels affichent des degrés plus faibles d’erreurs prévisionnelles absolues et une dispersion des prévisions moins grande lorsque l’information contenue dans les états financiers leur est communiquée dans un seul état. Enfin, les auteurs démontrent que les investisseurs non professionnels à qui sont communiquées sur une seule page des observations rétroactives exhaustives quant aux résultats assimilent plus rapidement l’information au départ et, une fois l’apprentissage intégré, formulent des prévisions exactes avec plus de régularité que les investisseurs à qui sont communiquées en deux pages des observations rétroactives, exhaustives ou limitées. Dans l’ensemble, les résultats de l’étude tendent à démontrer l’efficacité des solutions de rechange quant à la présentation des états financiers et l’utilité potentielle de la communication d’observations rétroactives plus exhaustives.

ChatGPT frequently appears in the media, with many predicting significant disruptions, especially in the fields of accounting and auditing. Yet research has demonstrated relatively poor performance of ChatGPT on student assessment questions. We extend this research to examine whether more recent ChatGPT models and capabilities can pass major accounting certification exams including the Certified Public Accountant (CPA), Certified Management Accountant (CMA), Certified Internal Auditor (CIA), and Enrolled Agent (EA) certification exams. We find that the ChatGPT 3.5 model cannot pass any exam (average score across all assessments of 53.1%). However, with additional enhancements, ChatGPT can pass all sections of each tested exam: moving to the ChatGPT 4 model improved scores by an average of 16.5%, providing 10-shot training improved scores an additional 6.6%, and allowing the model to use reasoning and acting (e.g., allow ChatGPT to use a calculator and other resources) improved scores an additional 8.9%. After all these improvements, ChatGPT passed all exams with an average score of 85.1%. This high performance indicates that ChatGPT has sufficient capabilities to disrupt the accounting and auditing industries, which we discuss in detail. This research provides practical insights for accounting professionals, investors, and stakeholders on how to adapt and mitigate the potential harms of this technology in accounting and auditing firms.

The ability to develop bots to automate tasks and processes using robotic process automation (RPA) is receiving significant attention in accounting. Auditors often struggle to know what tasks to automate and how to prioritize bot development. Drawing upon socio‐technical systems (STS) theory and using a design science methodology, we develop and validate a three‐step evaluation framework to assist auditors as they decide what activities to automate. We validate this framework using interviews, surveys of experienced internal and external auditors, and two case studies. By developing and validating our framework through the lens of STS theory, we also provide several insights that help explain the mixed findings in prior research regarding the effectiveness and adoption of emerging technologies in audit. The implications of our study yield many opportunities for future research in the areas of RPA and emerging technologies in audit.