Concepts-Based Accounting Standards

35 Pages Posted: 13 Sep 2019 Last revised: 10 May 2021

See all articles by Mark Penno

Mark Penno

University of Iowa - Department of Accounting

Date Written: May 10, 2021

Abstract

While comparability across firms and consistency over time are generally held to be fundamental goals of financial reporting, I provide an analytic representation of a concept that explains why concepts-based accounting standards cannot assure comparability and why their induced consistency may not always be desirable. While the term, concepts-based accounting standards, has not caught on in the academic and professional literatures, its use here emphasizes the foundational role that language-based concepts play in constructing accounting standards. I appeal to the academic literature in machine learning, neural networks and especially cognitive science – all of which may represent concepts by S-curve (sigmoid) signatures. I then show how S-curves can explain an accounting standard’s (1) precision, (2) comparability across firms, (3) demands placed on judgment, and (4) consistency across time. Accordingly, an S-curve formulation may guide both analytical modelling of accounting standards and add structure to empirical research designs..

Keywords: Concepts-based standards, S-curve; Consistency; Comparability; Hysteresis.

JEL Classification: M4

Suggested Citation

Penno, Mark C., Concepts-Based Accounting Standards (May 10, 2021). Available at SSRN: https://ssrn.com/abstract=3448562 or http://dx.doi.org/10.2139/ssrn.3448562

Mark C. Penno (Contact Author)

University of Iowa - Department of Accounting ( email )

21 E Market St, Iowa City, IA 52242
Iowa City, IA 52242-1000
United States

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