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Record W7043740432

A tale of two pension plans: Measuring pension plan risk from an economic capital perspective

2019· other· en· W7043740432 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueKent Academic Repository (University of Kent) · 2019
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaThe Institute and Faculty of ActuariesUniversity of Waterloo
KeywordsPensionValuation (finance)Pension planLife expectancyContext (archaeology)Economic capitalLife insuranceLongevity riskRisk management
DOInot available

Abstract

fetched live from OpenAlex

Years of high inflation, good investment returns and profits during the 1970s and 1980s created the illusion that defined benefit (DB) pension plans are easily affordable. Due to the creation of large surpluses during those years, pension risks have generally been excluded from an organisation's general risk management processes. Over the past decade or more however, increasing life expectancy and a steady fall in interest rates have meant that pension costs have increased. Consequently, many DB pension plans now have insufficient assets to cover all of their promised benefits. As a result, security of members' benefits may be compromised. This research, funded by the Society of Actuaries, builds on the works of Porteous et al. (2012), who performed a risk assessment of UK's Universities Superannuation Scheme (USS) based on the 2008 USS valuation report. In this research project, we update the analysis based on the most recently available valuation report. We then extend our analysis to carry out risk assessment of a stylised US plan, with the same membership profile as USS but with plan provisions modified to reflect a typical US DB plan design. We employ an economic capital approach to assess risks. Although the term economic capital has been widely used within the banking and insurance sectors, the concept is relatively new in the context of risk assessment of DB pension plans. In this research, we adapt the commonly used definitions of economic capital to appropriately capture the specific risk characteristics of DB pension plans. The analysis was carried out using stochastic economic scenario generators (ESG) calibrated to the UK and US economies. Specifically, we use a graphical model approach to ESG, proposed by Oberoi et al. (2019), alongside the well-known Wilkie model, to capture the sensitivity of the results to the choice of ESGs employed. The analysis also used a stochastic mortality model, similarly calibrated to the UK and the US. Results are shown for the full distribution of outcomes, but emphasis is given for certain percentile levels in line with the selected degree of confidence. We find that as a percentage of starting assets, the US stylised plan is more volatile than the USS plan. Moreover, the benefits of a larger allocation to long bonds are greater in the US stylised plan than the USS plan. In general, the effect on economic capital (for both plans) is much larger for changes in asset allocation than for changes to plan contributions. The full distribution of results provided should assist plan sponsors to understand the full range of uncertainties that they are assuming in the financing of their DB pension plans. An economic capital framework provides pensions regulators with another tool to consider their exposure to benefits guaranteed by the Pension Protection Fund and the Pension Benefit Guaranty Corporation. The analysis can also help the DB pension plan members to understand the uncertainties that the sponsor faces in the financing of DB pension plans.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.298
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.001

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 head0.017
GPT teacher head0.225
Teacher spread0.208 · 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