Mortality credits within large survivor funds
Michel Denuit (),
Peter Hieber and
Christian Y. Robert
Additional contact information
Michel Denuit: Université catholique de Louvain, LIDAM/ISBA, Belgium
Peter Hieber: Université catholique de Louvain, LIDAM/ISBA, Belgium
No 2022030, LIDAM Reprints ISBA from Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA)
Abstract:
Survivor funds are financial arrangements where participants agree to share the proceeds of a collective investment pool in a predescribed way depending on their survival. This offers investors a way to benefit from mortality credits, boosting financial returns. Following Denuit (2019, ASTIN Bulletin, 49, 591–617), participants are assumed to adopt the conditional mean risk sharing rule introduced in Denuit and Dhaene (2012, Insurance: Mathematics and Economics, 51, 265–270) to assess their respective shares in mortality credits. This paper looks at pools of individuals that are heterogeneous in terms of their survival probability and their contributions. Imposing mild conditions, we show that individual risk can be fully diversified if the size of the group tends to infinity. For large groups, we derive simple, hierarchical approximations of the conditional mean risk sharing rule.
Keywords: Mortality risk pooling; tontine; conditional mean risk sharing (search for similar items in EconPapers)
Pages: 22
Date: 2022-06-15
Note: In: ASTIN Bulletin, 2022, vol. 52(3), p. 813-834
References: Add references at CitEc
Citations: View citations in EconPapers (2) Track citations by RSS feed
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:aiz:louvar:2022030
DOI: 10.1017/asb.2022.13
Access Statistics for this paper
More papers in LIDAM Reprints ISBA from Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA) Voie du Roman Pays 20, 1348 Louvain-la-Neuve (Belgium). Contact information at EDIRC.
Bibliographic data for series maintained by Nadja Peiffer ().