The Effects of Board Size on Financial Performance of Banks: A Study of Listed Banks in Nigeria
Bibliographic record
Abstract
A critical review of the Nigerian banking system over the years shows that one of the problems confronting the sector has been that of poor corporate governance. In an attempt to investigate the linkage between corporate governance and financial performance of banks, this study contributed to the existing literature by assessing the effect of size of boards on the performance of banking sector in a developing economy like Nigeria. This study made use of a range of data drawn from the Nigerian Stock Exchange fact book (2008), which contains information on board size and the performance proxies. Regressing performance on board size, it was observed that banks with board size below 13 are more viable than those with board size above 13. The study further observed that banks with larger boards recorded profits lower than those with smaller boards. Therefore, this study concludes that there is a significant negative relationship between board size and bank financial performance with a t- value of -1.977 and a p- value of 0.053. This is because, increase in board size occurs with increase in agency problems (such as director free-riding) within the board and the board becomes less effective. However, the paper recommends a smaller board size for better financial performance and to reduce the problem of free-rider of banks in Nigeria.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 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".