Flotsam, Financing and Flotation: Is Canada 'Resolution Ready' for Insurance Company Insolvency?
Bibliographic record
Abstract
Insurance represents almost 2 per cent of Canada’s gross domestic product (GDP), yet there is little public policy discussion regarding the viability of the companies that insure Canadians or about the policyholder protection and resolution regime that underpins the provision of these services. As new products and technology develop, and as the complexity of multinational insurance enterprises increases, new risks pose challenges for Canada’s oversight and policyholder protection regimes. This article provides an overview of the insolvency regime for insurers in Canada, focusing primarily on the federal regime as the exemplar of how Canadian regulators and the insurance industry have built mechanisms for early intervention. It examines the causes of financial distress and the kinds of asset values that may be identified and preserved during insolvency. It explores the regulatory capital requirements imposed on insurers with the goal of safety and soundness of the system. It then examines policyholder protection and insolvency resolution strategies, including the early intervention system, aimed at keeping companies afloat or enabling them to exit the market with as little disruption as possible. It analyses how Canada’s supervisory and resolution system measures up against international standards, and looks at aspects of the system that need improvement and suggests priorities for legislative reform, including clear assignment of responsibility for resolution, treatment of derivatives and provisions to facilitate cross-border proceedings. The article also highlights new complex challenges facing Canadian insurers in terms of solvency risk, including accounting standards changes, climate change risk and cybersecurity.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.011 | 0.005 |
| Scholarly communication | 0.011 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".