Artikel

Longevity risk management and the development of a value-based longevity index

The design and development of post-retirement income products require the assessment of longevity risk, as well as a basis for hedging these risks. Most indices for longevity risk are age-period based. We develop and assess a cohort-based value index for life insurers and pension funds to manage longevity risk. There are two innovations in the development of this index. Firstly, the underlying variables of most existing longevity indices are based on mortality experience only. The value index is based on the present value of future cash flow obligations, capturing all the risks in retirement income products. We use the index to manage both longevity risk and interest rate risk. Secondly, we capture historical dependencies between ages and cohorts with a cohort-based stochastic mortality model. We achieve this by introducing age-dependent model parameters. With our mortality model, we obtain realistic cohort correlation structures and improve the fitting performance, particularly for very old ages.

Language
Englisch

Bibliographic citation
Journal: Risks ; ISSN: 2227-9091 ; Volume: 6 ; Year: 2018 ; Issue: 1 ; Pages: 1-20 ; Basel: MDPI

Classification
Wirtschaft
Computational Techniques; Simulation Modeling
Insurance; Insurance Companies; Actuarial Studies
Asset Pricing; Trading Volume; Bond Interest Rates
Subject
retirement income risk
cohort mortality
value index
mortality risk
interest rate risk
hedge efficiency

Event
Geistige Schöpfung
(who)
Chang, Yang
Sherris, Michael
Event
Veröffentlichung
(who)
MDPI
(where)
Basel
(when)
2018

DOI
doi:10.3390/risks6010010
Handle
Last update
10.03.2025, 11:45 AM CET

Data provider

This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Artikel

Associated

  • Chang, Yang
  • Sherris, Michael
  • MDPI

Time of origin

  • 2018

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