Mergers Improve Efficiency of Malaysian Commercial Banks
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
The merger of the Malaysian domestic banks was enforced by the government in the year 1999 after years of persuasion with little success. This study endeavors to measure the impact of the involuntary merger on the efficiency gains. Merger and acquisition of domestic banks improved the banks’ performance, profitability and value creation as indicated by Bank Negara Malaysia in 1999. The central bank of Malaysia (Bank Negara Malaysia) reassures banks to merge with other banking institution in order to bring about the economies of scale and to provide a higher level of efficiency. Subsequent to the mergers, there were only nine commercial banks left to form a completely new corporation. The secondary data was derived from the nine domestic banks from the year 2005 to 2009 were accumulated and analyzed using the DEA method. Mergers had unique advantages in terms of industry efficiency.
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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 | 0.002 | 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 | 0.000 |
| 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