Does the SOX Definition of an Accounting Expert Matter? The Association between Audit Committee Directors' Accounting Expertise and Accounting Conservatism*
Bibliographic record
Abstract
The Sarbanes-Oxley Act mandates the disclosure of whether at least one member of the audit committee is a financial expert. However, the final version of the rule adopted by the SEC defined experts to include both accounting and non-accounting experts. Did the SEC do the right thing? Are the non-accounting experts just as competent as the accounting experts in enhancing the quality of financial reporting? For a sample of S&P 500 firms we examine whether the audit committee's financial expertise is associated with accounting conservatism, a fundamental characteristic of financial reporting. Our results suggest that an audit committee's financial expertise is positively associated with conservatism when financial expertise is defined to include only accounting experts. Our findings are consistent with the notion that accounting expertise contributes to greater monitoring by the members of the audit committee which in turn enhances conservatism. However, this finding is conditional upon the firm's overall corporate governance, i.e., in weak boards accounting financial expertise is ineffective in promoting conservative accounting. Our findings have implications for regulators, corporate boards, and the accounting profession. Our findings are also relevant to regulators in other countries who are considering adopting measures to enhance corporate governance, particularly the effectiveness of the audit committees.
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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 | 0.020 | 0.096 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.010 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".