Longevity and Morbidity Risks: Emerging Technologies and Perspectives

A special issue of Risks (ISSN 2227-9091).

Deadline for manuscript submissions: 31 July 2026 | Viewed by 848

Editors


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Guest Editor
Department of Economics and Statistics, University of Salerno, Via Giovanni Paolo II, 132, 84084 Fisciano, SA, Italy
Interests: stochastic processes; financial and insurance risk; longevity insurance products; survival forecasting
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Economics and Statistics, University of Udine, Udine, Italy
Interests: actuarial sciences; quantitative methods for life insurance; insurance economics; longevity risk modelling

Special Issue Information

Dear Colleagues,

Modeling longevity dynamics is a key subject of investigation in many fields of social sciences due to the cross-cutting effects of longevity on the social landscape and financial security, at both the individual and collective levels. Enhancing the understanding and unlocking peculiar features and trends of high-impact demographic phenomena as those related to population aging and healthy aging are crucial for developing resilience against the related risks in the medium-, long-, and very long-run.

This Special Issue welcomes original research articles that challenge conventional methods and develop data-driven methodological approaches to identify and interpret the emerging trends in longevity and morbidity risks, also from a gender perspective. We also encourage research articles addressing longevity and morbidity risk management for portfolios of traditional or newly proposed life insurance contracts (e.g., bundling of risks).

We welcome high-quality paper submissions, related but not limited to the following topics:

  • Stochastic mortality models;
  • Neural network approaches to longevity modeling;
  • Multistate health transition modeling;
  • Life insurance models;
  • Gender mortality differentials;
  • Bundling of risks;
  • Forecasting over long-term horizons.

Prof. Dr. Marilena Sibillo
Dr. Giovanna Apicella
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • longevity risk
  • mortality modeling
  • gender mortality gap
  • forecasting
  • health transitions
  • life insurance

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Published Papers (1 paper)

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Research

21 pages, 651 KB  
Article
Impact of Simultaneous Jumps in Mortality and Asset Markets on GMDB Riders
by Amin Hassan Zadeh, Arman Rostami and Kristina G. Stankova
Risks 2026, 14(5), 111; https://doi.org/10.3390/risks14050111 - 7 May 2026
Viewed by 360
Abstract
This study investigates the impact of jointly modeling jumps in asset prices and mortality rates on the valuation of insurance guarantees. Mortality dynamics are specified using two extended frameworks based on the classical Lee–Carter model, with and without the inclusion of jump components. [...] Read more.
This study investigates the impact of jointly modeling jumps in asset prices and mortality rates on the valuation of insurance guarantees. Mortality dynamics are specified using two extended frameworks based on the classical Lee–Carter model, with and without the inclusion of jump components. Financial asset returns are modeled using Merton jump–diffusion processes. In the proposed specification, asset prices evolve according to a two-regime Merton model, where the regimes correspond to pandemic and non-pandemic market conditions. Using historical mortality data for the U.S. population and financial market data from the S&P 500 index, we evaluate the pricing implications for a Guaranteed Minimum Death Benefit (GMDB) rider. Contract values and Greeks are computed across multiple issue ages and policy maturities. The empirical results highlight the importance of accounting for simultaneous mortality and market jumps and demonstrate that their interaction has a material effect on the valuation of GMDB products. Full article
(This article belongs to the Special Issue Longevity and Morbidity Risks: Emerging Technologies and Perspectives)
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