Corporate Governance, Risk Management and Ethical Investment: Evidence From Banking Industries
Bibliographic record
Abstract
Considering the importance of good corporate governance in the banking industry, the study has been designed to investigate the managerial perceptions on interrelationship among good corporate governance, risk management, and ethical investment of the commercial banks of Bangladesh. Bangladesh has been selected as a field of study for three reasons. Firstly, banking is the leading sector in Bangladesh. Secondly, banking sector has been highly criticized in the recent times due to Bangladesh Bank scandal. Thirdly, banking is gradually being challenging services in Bangladesh. As a financial intermediary, bank has to ensure good corporate governance for smooth operations and reducing agency problem. As a trustee, bank deals with the money of others through various schemes of investment. Ethical investment known as social responsible investment is an indicator of good corporate governance. A structured questionnaire has been used to gather perceptions of managers of the sample banks. The results suggest that the most important factors for effective CG were the board of directors, auditors and managers of the various departments. The study also finds that risk taking behavior of the bank is influenced by the direction of board of directors. In this study corporate governance variables have been categorized with some sub-indices. Board’s structure with independent directors and well communication with supervisors ensure the efficient risk management practices in the banks where internal audit system and transparent disclosures of the board ensure the ethical investment practices.
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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 | 0.002 | 0.001 |
| 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 | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".