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Stochastic approximations in CBD mortality projection models
- Source :
- Journal of Computational and Applied Mathematics. 296:102-115
- Publication Year :
- 2016
- Publisher :
- Elsevier BV, 2016.
-
Abstract
- Comonotonicity has been successfully applied to derive various approximations in the single-factor mortality projection model proposed by Lee and Carter (1992), after Denuit and Dhaene (2007). However, this approach appears to lead to inaccurate approximations in the multi-factor mortality projection models developed by Cairns et?al. (2006). Therefore, we propose in this paper an alternative approach which consists in keeping the correlation structure within the time factors unchanged for every calendar year. Proceeding in this way, we provide accurate approximations useful for insurance practitioners avoiding them the simulations within simulations problem whatever the size of their portfolios.
- Subjects :
- Mathematical optimization
050208 finance
Applied Mathematics
Comonotonicity
05 social sciences
Structure (category theory)
01 natural sciences
Projection model
010104 statistics & probability
Computational Mathematics
0502 economics and business
0101 mathematics
Projection (set theory)
Mathematics
Subjects
Details
- ISSN :
- 03770427
- Volume :
- 296
- Database :
- OpenAIRE
- Journal :
- Journal of Computational and Applied Mathematics
- Accession number :
- edsair.doi...........dbf5b6c54fbf9d9e2e40899b37ead440
- Full Text :
- https://doi.org/10.1016/j.cam.2015.09.020