A Different Perspective on Retirement Income Sustainability: <i>The Blueprint for a Ruin Contingent Life Annuity (RCLA)</i>
Bibliographic record
Abstract
This article describes a new retirement income insurance product that would help individuals protect against longevity risk and retirement “ruin”in an economically efficient manner. The authors label this product a ruin-contingent life annuity (RCLA), for which they develop various numerical examples and pricing models. They then argue that RCLA products already exist, albeit not on a stand-alone basis. Namely, these RCLA products are embedded within modern variable annuity (VA) policies with guaranteed living income benefit (GLiB) riders. The authors’ analysis thus provides a deeper understanding of the role of VA + GLiB policies in hedging retirement risks. Indeed, the popularity of GLiB riders on VA policies point towards the potential commercial benefit of such stand-alone insurance products. At the very least, the existence of such a market would enable wealth managers to properly value the economic cost of a given retirement spending rate. <b>TOPICS:</b>Retirement, risk management
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".