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Bibliographic Details
Main Authors: Gabric, Lydia J., Zhou, Kenneth Q.
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2510.18721
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author Gabric, Lydia J.
Zhou, Kenneth Q.
author_facet Gabric, Lydia J.
Zhou, Kenneth Q.
contents Natural hedging allows life insurers to manage longevity risk internally by offsetting the opposite exposures of life insurance and annuity liabilities. Although many studies have proposed natural hedging strategies under different settings, calibration methods, and mortality models, a unified framework for constructing and evaluating such hedges remains undeveloped. While graphical risk assessment has been explored for index-based longevity hedges, no comparable metric exists for natural hedging. This paper proposes a structured natural hedging framework paired with a graphical risk metric for hedge evaluation. The framework integrates valuation, calibration, and evaluation, while the graphical metric provides intuitive insights into residual dependencies and hedge performance. Applied to multiple hedging scenarios, the proposed methods demonstrate flexibility, interpretability, and practical value for longevity risk management.
format Preprint
id arxiv_https___arxiv_org_abs_2510_18721
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A Natural Hedging Framework for Longevity Risk with Graphical Risk Assessment
Gabric, Lydia J.
Zhou, Kenneth Q.
Risk Management
Natural hedging allows life insurers to manage longevity risk internally by offsetting the opposite exposures of life insurance and annuity liabilities. Although many studies have proposed natural hedging strategies under different settings, calibration methods, and mortality models, a unified framework for constructing and evaluating such hedges remains undeveloped. While graphical risk assessment has been explored for index-based longevity hedges, no comparable metric exists for natural hedging. This paper proposes a structured natural hedging framework paired with a graphical risk metric for hedge evaluation. The framework integrates valuation, calibration, and evaluation, while the graphical metric provides intuitive insights into residual dependencies and hedge performance. Applied to multiple hedging scenarios, the proposed methods demonstrate flexibility, interpretability, and practical value for longevity risk management.
title A Natural Hedging Framework for Longevity Risk with Graphical Risk Assessment
topic Risk Management
url https://arxiv.org/abs/2510.18721