Risk and Return of Merger Arbitrage in the UK 2001 to 2004
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper replicates the core underlying merger arbitrage strategy using daily data from the United Kingdom to generate three simulated merger arbitrage portfolio return series, for the period 2001 through to 2004. Past empirical evidence indicates that the merger arbitrage strategy generates large risk adjusted returns. More recent evidence indicates that the strategy has a return distribution equivalent to a short put option on a stock index. These prior studies have generally focused on monthly returns in the North American stock markets. For the UK market we find evidence that the merger arbitrage strategy exhibits little systematic risk and generates significant risk adjusted returns. Contrary to prior research we find no evidence of an increase in systematic risk in depreciating equity markets.
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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 | 0.013 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it