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Enregistrement W3121867639 · doi:10.55016/ojs/sppp.v11i1.43034

The Time has come to Revisit Solvency Funding Rules

2018· article· en· W3121867639 sur OpenAlexaffabout
Norma Nielson

Notice bibliographique

RevueThe School of Public Policy Publications · 2018
Typearticle
Langueen
DomaineEconomics, Econometrics and Finance
ThématiqueInsurance and Financial Risk Management
Établissements canadiensUniversity of Calgary
Organismes subventionnairesnon disponible
Mots-clésSolvencyBusinessActuarial scienceFinanceAccounting

Résumé

récupéré en direct d'OpenAlex

Canadians are not fond of hearing news about people losing their hard-earned pensions because their employer misused the money. The thought of some Working Joe or Jane being deprived of a pension, after a lifetime of working for a company, is naturally repugnant. That is why regulations around defined-benefit pension plans are designed to force employers to keep their pension funds sufficiently solvent. But there are many ways to achieve that end and, while the rules that Canadian companies must follow might serve to help preserve pension savings, they also be very expensive — to employers and regulators — compared to other policies that can do the same thing. In fact, more flexibility in the rules might even make it easier for companies to offer richer pension benefits to employees than they already do. Some of Canada’s outdated pension-funding rules have created the opposite problem: There are now pension plans that are actually overfunded if one assumes the company and the plan will continue. That means money the sponsoring companies could be using to hire more workers, to offer employees better pay and benefits, or to invest, is tied up in pension coffers. The problem lies in the divergence between a “going-concern” valuation — which assumes that the plan continues indefinitely — with the more prescriptive “solvency” valuation that is central to Canadian regulations. It examines funding adequaciy if one assumes the employer is going to go out of business (even if the vast majority of large employers are at any given time at no risk of that). In the days when fixed-income returns were lucrative, companies relied on pension fund investments to top up the funds, reducing sponsor contributions to unsafe levels. The solvency rules required plans that were reaping higher returns in the stock market to continue making some contributions to their plans. Back then, the gap between a going-concern valuation and a solvency valuation was small, and so the rules were not an unacceptable burden. Those rich returns are gone. Now, that gap between valuations has grown dramatically. In B.C., for example, a recent analysis found that when using a going-concern evaluation, 75 per cent of 143 defined-benefit plans registered in the province in 2015 had at least 100-per-cent funding, while the median funding ratio was 124 per cent. Using a solvency model, the median funding ratio was instead estimated to be a much lower 85 per cent. Closing that gap would require onerous pension contributions. More importantly, the contributions it triggers might never be needed to cover benefits. Quebec is the first province to recognize that pension-funding rules need to be revisited and made more responsive, with new rules coming in that will reduce the unnecessary burden on employers while also adapting to changes in the economic environment. Ontario is showing signs that it will take steps in the same direction. Regulators everywhere should be revisiting pension rules to: remove the solvency-valuation requirement for well-funded plans, while allowing the regulator to assume a worst-case scenario in the uncommon case where they believe it to be warranted; to develop a method to rate the credit risk of a plan; to be less stringent and more realistic about plan liabilities (by allowing some types of liabilities to use a longer amortization period); but still restricting plan changes for underfunded plans. The result would not only reduce the cost and work of over-regulating well-funded, well-run plans, while freeing up cash . By reducing pressure on the cash flow for sponsors, and adding more flexibility, the policymakers will ultimately make defined-benefit pension plans more sustainable. They might even see defined-benefit plans making a comeback among employers who found heavy contributions enough to drive them out of the DB world.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,027
score de la tête « metaresearch » (Gemma)0,078
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,948
Score d'incertitude au seuil0,755

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0270,078
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0040,004
Études des sciences et des technologies0,0120,019
Communication savante0,0190,010
Science ouverte0,0080,004
Intégrité de la recherche0,0090,023
Charge utile insuffisante (le modèle a refusé de juger)0,0090,002

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.

Tête enseignante Opus0,074
Tête enseignante GPT0,285
Écart entre enseignants0,210 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2018
Routes d'admission2
Résumé présentoui

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