Corporate Governance and Firms’Financial Performance of Listed Company in the West African Monetary Union (Wamu) Regional Financial Exchange
Bibliographic record
Abstract
This study examines empirically the impact of corporate governance mechanisms on firm financial performance using listed firms in the West African Monetary Union (WAMU).Based on the review of existing literature, four corporate governance variables were selected namely: composition of board member, board size, CEO status and ownership concentration which served as the independent variables. The ordinary least square regression was used to estimate the relationship between corporate governance and firm performance. A total of 39 firms were selected for the study cutting across all sectors of Regional Financial Exchange. Findings from the study show that there is positive and significant relationship between composition of board member and board size as independent variables and firm performance. CEO status also has positive relationship with firm performance but insignificant at P<0.05.However, ownership concentration has negative relationships with return on asset (ROA) but positive relationship with profit margin (PM). The relationships are not significant at 5%.A high concentration of shares tends to create more pressure on managers to behave in ways that are value-maximizing.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".