The Impact Of Mergers On Company Performances In The Banking Sector
Bibliographic record
Abstract
This study aims to examine the financial performance of PT Bank Oke Indonesia, which carried out the merger in 2017. This study employs financial performance ratios and stock performance as indicators to overview the effect of mergers on company performance. The research data is sourced from quarterly financial reports from the 1st quarter of 2017 to the 4th quarter of 2021 obtained from the company's website. In addition, research data is also sourced from 3-month stock prices within the same period, derived from www.finance.yahoo.com. Financial performance testing employs descriptive statistical analysis with the Wilcoxon test, while stock performance is tested through stock return value analysis. The test results show that the company's financial performance decreased after the merger. Tests on stock performance also suggest an impairment after the merger. It indicates that the short-term merger carried out by PT Bank Oke Indonesia failed to provide a positive value for the company's financial and stock performance. This study is expected to be additional literature in the accounting field concerning mergers and acquisitions.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| 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 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".