A natural hedging framework for longevity risk with graphical risk assessment

Abstract 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.

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Publication Details

Journal
Annals of Actuarial Science
Published
2026-10-14
DOI
https://doi.org/10.1017/s174849952610044x
Primary Topic
Insurance, Mortality, Demography, Risk Management
Type
article
Field-Weighted Citation Impact
0.00

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article

A natural hedging framework for longevity risk with graphical risk assessment

Kenneth Q. Zhou, Lydia J. Gabric
Annals of Actuarial Science
Insurance, Mortality, Demography, Risk Management
article

A natural hedging framework for longevity risk with graphical risk assessment

Kenneth Q. Zhou, Lydia J. Gabric
article en

Abstract

Abstract 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.

Annals of Actuarial Science
University of Waterloo (CA), Arizona State University (US)
Natural Sciences and Engineering Research Council of Canada
Openalex Percentile: Top 5%
Insurance, Mortality, Demography, Risk Management
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