Does the Stock Market Compensate Banks for Diversifying into the Insurance Business?
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 explores a wide range of corporate restructurings, all available deals from wire services, in the banking and insurance sectors that led to bancassurance ventures. An event study methodology is employed to calculate excess returns on and around the deals’ announcement date. Using both univariate and multivariate analysis the paper finds bank driven mergers, deal's size and regional categorization all triggering positive and significant market reactions. Unlike the univariate framework, multivariate analysis shows that geographic focus and language are not significant factors. The results also indicate that markets are indifferent with respect to bank withdrawals from the bank-insurance operations. Finally, Canadian, U.S. and European bank-insurance deals produce positive results, while Australasian bidders offer statistically insignificant equity returns.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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