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Record W3123564588 · doi:10.1506/ap.8.3.1

Fair Value Accounting and the Financial Crisis: Messenger or Contributor?*

2009· article· en· W3123564588 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueAccounting Perspectives · 2009
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAuditing, Earnings Management, Governance
Canadian institutionsConcordia University
Fundersnot available
KeywordsFinancial crisisValuation (finance)Market liquidityFair valueBusinessFinancial instrumentEconomicsAccountingFinanceFinancial system

Abstract

fetched live from OpenAlex

ABSTRACT This commentary discusses how fair value accounting (FVA) affects the nature of financial reporting, especially for financial institutions that were deeply affected by the 2007‐9 financial crisis. Toward that end, I address four questions. First, I review FVA's role in financial reporting, emphasizing its development over time. While the commentary's focus is on the interface between financial instruments and FVA, its reach extends well beyond financial instruments. Thereafter, I discuss the measurement and valuation challenges that arise from the use of FVA in financial reporting. Then, I analyze the evidence, analytical and empirical, on the role that FVA may have played in the financial crisis of 2007‐9. Since, to some extent, the crisis is still unfolding, there is limited yet very insightful empirical evidence on this issue. The evidence does suggest that FVA, in combination with its use by regulators, may have severely undermined the financial condition of some institutions. The effect was amplified for institutions holding assets in markets that saw their liquidity dry up during the crisis. In other words, FVA may have amplified the crisis. Finally, I discuss some implications that we can draw from the crisis about the merits and risks underlying FVA. For instance, I conclude that, in a search for relevance, the use of FVA in financial reporting may accelerate its disconnection from a firm's business reality.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.021
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.834
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.021
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0020.003
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.006
GPT teacher head0.218
Teacher spread0.212 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it