Evaluation of Pre and Post Demerger-Merger Performance: Using ABN AMRO Bank as an Example
Bibliographic record
Abstract
This study attempts to measure the impact of simultaneously demerger and merger over the financial performance of ABN AMRO Bank for the period 2007-2013 by using the DuPont system of financial analysis. ABN AMRO Bank N.V. is a Dutch state-owned bank with headquarters in Amsterdam. The bank demerged from Royal Bank of Scotland Group (RBS) in the first quarter of 2010 and merged with Fortis Bank Nederland from July 1, 2010. Two statistical techniques are used in this study; first the analysis of pre and post Demerger-Merger financial ratios is drawn and second paired sample t-test is used. Based on the analysis of 3 years pre and post Demerger-Merger financial ratios and data of ABN AMRO Bank, the result shows that the event of merger-demerger has no significant influence on the bank’s Net profit margin, Total asset turnover, Return on equity and Equity multiplier. This research fills the gap of Demerger-Merger analysis in the bank industry by using DuPont system of financial analysis.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".