The Pricing of Multiple Line P&C Insurance Based on the Full Information Underwriting Beta
Why this work is in the frame
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Bibliographic record
Abstract
This paper develops a financial model of insurance pricing that is able to price insurance by line in a multi-line property & casualty insurance company based on the Full Information Underwriting Beta Methodology. It extends the existing literature in insurance pricing in that the model is suitable for multi-line pricing and reflects the systematic risk of different business lines. Based on Canadian Property & Casualty insurance industry data, the primary empirical findings in this paper strongly reject the argument in prior studies that underwriting betas of distinct lines vary in proportion to the length of the period that the premium of the corresponding line can be kept for investment. The results also show that the expected underwriting profit margin of liability insurance is the lowest among three distinct business lines: auto insurance, property insurance, and liability insurance.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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