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Joint survival annuity derivative valuation in the linear-rational Wishart mortality model

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  • Jose Da Fonseca
  • Patrick Wong

Abstract

This study proposes a linear-rational joint survival mortality model based on the Wishart process. The Wishart process, which is a stochastic continuous matrix affine process, allows for a general dependency between the mortality intensities that are constructed to be positive. Using the linear-rational framework along with the Wishart process as state variable, we derive a closed-form expression for the joint survival annuity, as well as the guaranteed joint survival annuity option. Exploiting our parameterisation of the Wishart process, we explicit the distribution of the mortality intensities and their dependency. We provide the distribution (density and cumulative distribution) of the joint survival annuity. We also develop some polynomial expansions for the underlying state variable that lead to fast and accurate approximations for the guaranteed joint survival annuity option. These polynomial expansions also significantly simplify the implementation of the model. Overall, the linear-rational Wishart mortality model provides a flexible and unified framework for modelling and managing joint mortality risk.

Suggested Citation

  • Jose Da Fonseca & Patrick Wong, 2026. "Joint survival annuity derivative valuation in the linear-rational Wishart mortality model," Papers 2602.06415, arXiv.org.
    • Handle: RePEc:arx:papers:2602.06415
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    File URL: http://arxiv.org/pdf/2602.06415
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