The governance of risk management: The importance of directors’ independence and financial knowledge
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.
Bibliographic record
Abstract
Abstract We test the effects of the independence and financial knowledge of directors on risk management and firm value in the gold mining industry. Our original hand‐collected database on directors’ financial education, accounting background, and financial experience allows us to measure the effect of financial knowledge on risk management activities. We show that directors’ financial knowledge increases firm value through the risk management channel. This effect is strengthened by the independence of the directors on the board and on the audit committee. Extending the dimension of education, we show that, following unexpected shocks to gold prices, firms with financially educated directors are more effective in hedging than average firms in the industry. Firms that hedge more also attracts highly educated directors on their board and audit committee. As a policy implication, our results suggest adding the experience and education dimensions to the 2002 Sarbanes–Oxley Act and New York Stock Exchange requirements for better governance.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it