Do Board and Audit Committee Characteristics Affect Firm’s Cost of Equity Capital?
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
This paper examines the association between board and audit committee characteristics and cost of equity capital. Using a sample of TSX-S&P 300 firms, our analysis shows that overall audit committee characteristics are negatively associated to the cost of equity capital. The size of the audit committee and the non-duality of the Chairman of the board are, however, positively related to the cost of equity capital. The results also confirm that being listed on the American stock exchange affects the relationship between non-duality of the Chairman of the board and cost of equity capital. However, being listed in the US capital market doesn’t change the relationship between audit committee features and the cost of equity capital and this can be explained by the fact that audit committee regulatory requirements are similar and mandatory in both Canadian and American capital markets.
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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 | 0.001 | 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 | 0.000 | 0.000 |
| 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