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Record W3122584141

The Impact of the 2003 Regulatory Reform in the Canadian Property-Casualty Insurance Industry on Insurers' Surplus Levels

2010· article· en· W3122584141 on OpenAlexaffabout
Peter Carayannopolos, Mary Kelly, Si Li

Bibliographic record

VenueJournal of Insurance Issues · 2010
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicInsurance and Financial Risk Management
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsEconomic surplusInsurance industryBusinessRegulatory reformCapital (architecture)Property insuranceCapital requirementFinanceEconomicsMonetary economicsActuarial scienceInsurance policyGeneral insuranceMarket economyIncentive
DOInot available

Abstract

fetched live from OpenAlex

Canada modified the capital adequacy test for property/casualty insurers to align regulatory surplus and firm risk. We explore the impact of this change on insurer surplus holdings. We find firms have not changed the level of surplus in response to risk characteristics in the capital adequacy test. However, firms have reduced surplus holdings in jurisdictions in which automobile insurance reform has been successful, and increased surplus holdings in jurisdictions with escalating automobile insurance claims. Overall, larger firms have increased their surplus holdings since 2003, whereas smaller insurers report surplus-to-net-premium-written ratios that have been declining over time. In addition, insurers that are part of a larger financial conglomerate have consistently held more surplus than their counterparts. We conjecture that these higher levels may be related more to the conglomerate’s future strategic opportunities than the insurer’s level of risk.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.964
Threshold uncertainty score0.261

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0010.002
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.032
GPT teacher head0.269
Teacher spread0.236 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2010
Admission routes2
Has abstractyes

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