Basis risk in static versus dynamic longevity-risk hedging
Clemente De Rosa,
Elisa Luciano and
Luca Regis ()
No 425, Carlo Alberto Notebooks from Collegio Carlo Alberto
Abstract:
This paper provides a tractable, parsimonious model for assessing basis risk in longevity and its effect on the hedging strategies of Pension Funds and annuity providers. Basis risk is captured by a single parameter, that measures the co-movement between the portfolio and the reference population’s longevity. The paper sets out the static, full and customized swap-hedge for an annuity, and compares it with a dynamic, partial and index-based hedge. We calibrate our model to the UK and Scottish populations. The effectiveness of static versus dynamic strategies depends on the rebalancing frequency of the second, on the relative costs, and on basis risk, which does not affect fully-customized, static hedges. We show that appropriately calibrated dynamic hedging strategies can still be reasonably effective, even at low rebalancing frequencies.
Keywords: longevity risk; customized vs. indexed hedge; longevity swaps; longevity bonds; rebalancing frequency. (search for similar items in EconPapers)
JEL-codes: G22 G32 (search for similar items in EconPapers)
Pages: pages 31
Date: 2015-08, Revised 2015-10
New Economics Papers: this item is included in nep-rmg
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.carloalberto.org/wp-content/uploads/2018/11/no.425.pdf (application/pdf)
Related works:
Journal Article: Basis risk in static versus dynamic longevity-risk hedging (2017)
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:cca:wpaper:425
Access Statistics for this paper
More papers in Carlo Alberto Notebooks from Collegio Carlo Alberto Contact information at EDIRC.
Bibliographic data for series maintained by Giovanni Bert ().