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Modeling the Risk in Mortality Projections

Nan Zhu, Daniel Bauer

Operations Research · 2022 · Volume 70 · Issue 4

DOI: 10.1287/opre.2021.2255

Abstract

This paper presents and applies models for the valuation and management of mortality-contingent exposures. Such exposures include insurance and pension benefits, as well as novel mortality-linked securities traded in financial markets. Unlike conventional approaches to modeling mortality, we consider the stochastic evolution of mortality projections rather than realized mortality rates . Relying on a time series of age-specific mortality forecasts, we develop a set of stochastic models that—unlike conventional mortality models—capture the evolution of mortality forecasts over the past 50 years. In particular, the dynamics of our models reflect the substantial observed variability of long-term projections and are therefore particularly well-suited for financial applications where long-term demographic uncertainty is relevant.

Keywords

Financial Engineering, longevity risk, mortality risk management, forward mortality models, affine models

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