Asleep at the Wheel (Again)? Bank Audits During the Lead‐Up to the Financial Crisis
Bibliographic record
Abstract
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.
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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 | 0.003 | 0.027 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
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".