Corporate Governance and Financial Stability: The Case of Commercial Banks in Vietnam
Bibliographic record
Abstract
Bank stability is a goal that bank managers aim for in addition to the goal of maximizing shareholder value. To achieve this goal, commercial banks have applied various solutions, including corporate governance because corporate governance plays an important role in the business activities of an enterprise in general as well as in that of a commercial bank in particular. The purpose of this paper is to investigate the impact of corporate governance on the stabilities of Vietnamese commercial banks in the period from 2009 to 2020. Using hand-collected data from 25 commercial banks in Vietnam, by system GMM estimation and the Bayesian Mixed-Effects approach, the paper identifies the characteristics of corporate governance affecting bank stability. Board size, women board members, and board members’ education have a positive impact, and dependent board and foreign board members have a negative impact on bank stability. Our findings show important evidence for an emerging country, such as Vietnam. From the empirical results, the authors suggest several recommendations to maintain and enhance bank stability in the future time.
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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 | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".