Do Investors Care about the Auditor's Economic Dependence on the Client?*
Bibliographic record
Abstract
Abstract In this study, we investigate whether investor perceptions of the financial reporting credibility of Big 5 audits are related to the auditor's economic dependence on the client as measured by nonaudit as well as total (audit and nonaudit) fees paid to the incumbent auditor. We use the client‐specific ex ante cost of equity capital as a proxy for investor perceptions of financial reporting credibility and examine auditor fees both as a proportion of the revenues of the audit firm and as a proportion of the revenues of the audit firm's practice office through which the audit was conducted. Our findings suggest that both nonaudit and total fees are perceived negatively by investors' that is, the higher the fees paid to the auditor, the greater the implied threat to auditor independence, and the lower the financial reporting credibility of a Big 5 audit. Furthermore, our findings appear to be largely unrelated to corporate governance: investors do not perceive the auditor as compensating for weak governance. Separately, recent anecdotal evidence suggests that declining revenues from nonaudit services' as a result of recent regulatory restrictions” are being offset by substantial increases in audit fees. Other things being equal, rising audit fees imply higher profit margins for audit services, indicating that the audit function may no longer be a loss leader. Thus, to the extent that investors perceive total fees negatively, recent regulatory initiatives to limit nonaudit fees may not have adequately addressed the perceived, if not the actual, threat to auditor independence posed by fees.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.004 |
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 teacher head, 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".