Fault Lines: Earthquakes, Insurance, and Systemic Financial Risk
Notice bibliographique
Résumé
The fault lines from a major earthquake in Canada could quickly spread through the insurance industry and have a systemic financial impact. Policymakers should take several steps now to avert this chain of events. Since the financial crisis of 2007/08, policymakers have focused on systemic risk to financial and economic systems, with most of the attention on the banking system. The framework for these efforts has been to build resiliency and shock absorbers to minimize the impact of financial shocks on the real economy. The inevitability of an earthquake in Canada poses a similar systemic financial risk for the insurance industry and the economy as a whole, and similar remedial efforts are required. A federal emergency backstop arrangement for property and casualty insurers, properly designed, would minimize the systemic financial impact resulting from such a catastrophic and likely uninsurable event on those affected and on the economy at large. The moral-hazard implications appear small compared to the benefits of avoiding serious systemic risk. The backstop arrangement should, however, apportion costs, including a possible tranche of further contingent risk-sharing with industry in a way that lessens moralhazard issues. A federal last-resort backstop guarantee could kick in beyond an industry-wide trigger of expected losses, say those associated with a one-in-500-year earthquake – currently approximately $30 billion to $35 billion. This loss estimate would be updated periodically, and the trigger could be set somewhere in excess of the one-in-500 threshold to promote further industry risk-sharing. That said, as part of any Canadian reform package, it is important to bolster the Property and Casualty Insurance Compensation Corporation to deal with insurance industry problems and reduce systemic impacts from severe catastrophes. This would also reduce the likelihood that a federal financial commitment would be triggered and, if triggered, would have minimum costs. Having more tools available in advance to deal with catastrophic events would reduce post-catastrophe disaster claims. This Commentary recommends the following: • Strengthen PACCIC so it can intervene before insurance companies in financial difficulty become insolvent. • Ensure PACCIC has the capability to borrow to reduce its liquidity needs in a crisis. • Following these structural changes, PACCIC should rerun its scenario models to examine how much that could increase resilience to extreme events. Furthermore, insurance industry bodies, as well as the federal and provincial governments, should undertake awareness programs to enhance homeowners’ understanding of catastrophe risks. This should encourage Canadians to evaluate the merits of disaster insurance coverage, particularly in the Quebec City-Montreal-Ottawa corridor where such insurance penetration is far too low. Finally, the insurance industry, under active OSFI supervision, should further develop its models for setting aside adequate capital and claims-paying capacity. Regulators should ensure there is an adequate degree of conservatism and that models are as up to date as possible. OSFI should regularly assess the adequacy of major insurers’ models, as they have done in the banking industry.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,003 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».