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Record W3121168247 · doi:10.1111/1911-3846.12101

Asleep at the Wheel (Again)? Bank Audits During the Lead‐Up to the Financial Crisis

2014· article· en· W3121168247 on OpenAlexvenueno aff
Rajib Doogar, Stephen P. Rowe, Padmakumar Sivadasan

Bibliographic record

VenueContemporary Accounting Research · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAuditing, Earnings Management, Governance
Canadian institutionsnot available
Fundersnot available
KeywordsAuditAccountingFinancial crisisExtant taxonBusinessFinancial statementFinancial systemEconomicsMacroeconomics

Abstract

fetched live from OpenAlex

Abstract We present the first large‐sample empirical evidence on U.S. auditors' responses to changes in entity‐level audit risk during 2006–2007, the period leading up to the financial crisis of 2008–2009. Treating fiscal year 2005 engagements as a pre‐crisis benchmark, we find that audit attention during fiscal year 2006 and 2007 bank audit engagements shifted in line with the shifting audit risks. One implication of these findings is that auditors were able to recognize and respond to financial statement impacts of the macroeconomic shocks that unfolded during the lead‐up to the crisis. Another implication is that auditors' failure to issue advance warnings of increasing auditee riskiness during the time leading up to the financial crisis more likely reflects limitations of extant accounting and auditing rules rather than a lack of auditor awareness or attention to those risks.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.027
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.027
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.029
GPT teacher head0.272
Teacher spread0.243 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations57
Published2014
Admission routes1
Has abstractyes

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