---
title: Target-Benefit Pension Optimization with Jumps
url: https://www.ml-quant.com/papers/repec/eee-insuma-v-121-y-2025-i-c-p-100-110/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: RePEc:eee:insuma:v:121:y:2025:i:c:p:100-110
source_url: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS0167668725000137%3Bh%3Drepec%3Aeee%3Ainsuma%3Av%3A121%3Ay%3A2025%3Ai%3Ac%3Ap%3A100-110
featured: 2025-10-27
citations: unknown
topic: Other
---


# Target-Benefit Pension Optimization with Jumps

Provides closed-form rules for the best benefit payouts and investment choices for a target‑benefit pension fund facing continuous and jump risks to maximize expected utility.

- Source: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS0167668725000137%3Bh%3Drepec%3Aeee%3Ainsuma%3Av%3A121%3Ay%3A2025%3Ai%3Ac%3Ap%3A100-110
- Identifier: RePEc:eee:insuma:v:121:y:2025:i:c:p:100-110
- Released: 2025-10-27
- First featured: Quant Letter No. 117 (2025-10-27): https://www.ml-quant.com/issues/2025-10-27/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Other

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