Mergers and Acquisitions: The Trend in Business Environment in Nigeria
Bibliographic record
Abstract
This paper focused on merger and acquisition in Nigerian business environment. Its specific objectives are to determine implication of merger and acquisition on profitability, leverage buy- out and shareholders’ wealth. It is a longitudinal survey covering time period of six years (Pre-merger and acquisition: 2007-2009 and Post-merger and acquisition: 2010-2012). Historical data were obtained from the financial statement and accounts of Access Bank PLC which merged with Intercontinental Bank PLC. Data collected are evaluated and analysed using McNemar test. This study reveals that merger and acquisition has influence on profitability, leverage buy-out and shareholders’ wealth. It concluded that merger and acquisition can stimulate economic growth and development of any nation. Hence, recommended that merger and acquisition should be strategically be employed by firms to improve profitability, shareholders wealth and offset accumulated leverage for the interest of dispersed stakeholders and government should create the enabling environment that can enhance merger and acquisition in Nigeria.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".