MétaCan
Menu
Back to cohort
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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.049
Threshold uncertainty score0.932

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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 teacher head, 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

Explore more

Same venueJournal of Insurance IssuesSame topicInsurance and Financial Risk ManagementFrench-language works237,207