Independent Board, Audit Committee, Risk Committee, the Meeting Attendance level and Its Impact on the Performance: A Study of Listed Banks in Indonesia
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 study determines the effect of good corporate governance on the performance of banks in Indonesia. The variables used are independent board (IB), the annual board meeting (BM), the percentage of annual board of director meeting attendance, the annual board-executive meeting (BEM), the percentage of annual board-executive meeting attendance, audit committee (AC), audit committee meeting (ACM), the percentage of annual audit committee meeting attendance, risk committee (RC), risk committee meeting (RCM), and the percentage of annual risk committee meeting attendance. The analysis technique employed in this study is two-stage least square (2SLS) panel data regression using return on asset (ROA), net interest margin ratio (NIM), and Tobin’s Q as the proxies of bank performance. The data used are listed bank in Indonesia Capital Market between 2013 and 2015. The findings reveal that the independent board has a positive impact on net interest margin among the big scale bank. However, among the small scale bank the independent board of directors has the positive impact on the market value, but they will have the lack of information that could obstruct the accounting based profit of the bank. Moreover, the findings of this study also explain the important role of meeting attendance for the accounting based profitability of the bank. This study also found the critical role of the audit committee in the banking industry.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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