Company Profitability Performance in Greek Takeover Bids
Bibliographic record
Abstract
One of the most studied aspects of Mergers and Acquisitions (M&A) is their effect both at the time of the announcement and during the period after. Researchers mostly focus on the short-term effects of such agreements, without thoroughly examining the behaviour of shareholders in the long term, namely after conclusion of the agreements. The scope of the paper is to examine the effect of M&A agreements in the efficiency and overall performance of Greek companies involved in such agreements. This research was based on a sample of 20 announcements made by companies listed in the Athens Stock Exchange and published at the Athens Stock Exchange website during the 2004-2006 period. The evaluation of the Company Performance was carried out with the help of 4 key indicators, like Liquidity, Capital structure, Activity and Performance. Results are in line with previous studies showing that M&A agreements have a positive effect on the efficiency and overall performance of the companies involved, yet only in the short term; this effect is reversed in the long term, thus creating a negative effect.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".