The Effect of the Profitability on the Valuation Models: Evidence from Italian Acquisitions
Bibliographic record
Abstract
The aim of this study is to analyse the behaviour of the book-to-market index, B/MV, on a sample of Italian listed companies that completed a M&A operation in the span 2008-2016, the decade of the economic-financial crisis. Moreover the authors' interest in investigating the relationship between the market index and the income and non-earnings performance index. The study has verified whether the listed Italian companies sampled have book-to-market indices in line with corporate performance in terms of profitability, and therefore of general economic, patrimonial and financial equilibrium. The intention is to consider if the market manages to "capitalise" corporate trends regularly and with what intensity. The hypothesis concerns the possibility that the B/MV may be more affected by financial market externalities than by the specific economic and financial outlook in terms of market capitalisation. The profound geopolitical and macroeconomic changes of the last few decades and the consequent multiple corporate crises, have undoubtedly called into question the validity and reliability of certain valuation assumptions.
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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 | 0.005 | 0.027 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".