The Eternal Debate Over Conservatism and Prudence: A Historical Perspective on the Conceptualization of Asymmetry in Financial Accounting Theory*
Bibliographic record
Abstract
ABSTRACT The recent revisions of conceptual frameworks (CFs) by the IASB and the FASB included changes to the status of prudence/conservatism, accompanied by a broader debate about the meaning and role of asymmetry in financial accounting theory (FinAT). This paper adopts a historical perspective to identify possible sources of the current controversies by examining how the discourse on asymmetry has developed over time. For this purpose, we trace the conceptualization of asymmetry in FinAT building from the 19th century until 2018, covering contributions to the US FinAT literature and the conceptual reasoning of standard setters (and their constituents) in the United States and at the international level. We identify four distinct constructs of asymmetry (ultra‐, specified, discretionary, and neutral asymmetry) developed in FinAT under the headings of “conservatism” and/or “prudence.” Our analysis reveals that the respective historical circumstances strongly influenced which notion and role of asymmetry were commonly accepted in FinAT, while the arguments underlying the debates were going in circles and were characterized by an increasing level of abstraction over time. We conclude that the controversy about asymmetry is partially due to conceptual ambiguity but also due to different assumptions about the objective of financial reporting and attributes of the preparer, which are indicative of two conflicting paradigms shaping the FinAT discourse on asymmetry. Our findings point to gaps and limitations in the deductive CFs currently employed by the IASB and FASB. Our study highlights future research potential regarding the construction of the preparer in standard setting and analyses of the ways in which deductive CFs (fail to) translate into consistent standards.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.018 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.004 | 0.037 |
| Scholarly communication | 0.008 | 0.012 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".