Assessing the Solvency of Insurance Portfolios Via a Continuous Time Cohort Model

IMT Lucca EIC Working Paper Series 07 July 2014

37 Pages Posted: 25 Sep 2014

See all articles by Petar Jevtic

Petar Jevtic

McMaster University - Department of Mathematics and Statistics

Luca Regis

University of Turin; Collegio Carlo Alberto

Date Written: July 7, 2014

Abstract

This paper evaluates the solvency of a portfolio of assets and liabilities of an insurer subject to both longevity and financial risks. Liabilities are evaluated at fair-value and, as a consequence, interest-rate risk can affect both the assets and the liabilities. Longevity risk is described via a continuous-time cohort model. We evaluate the effects of natural hedging strategies on the risk profile of an insurance portfolio in run-off. Numerical simulations, calibrated to UK historical data, show that systematic longevity risk is of particular importance and needs to be hedged. Natural hedging can improve the solvency of the insurer, if interest-rate risk is appropriately managed. We stress that asset allocation choices should not be independent of the composition of the liability portfolio of the insurer.

Keywords: longevity risk; natural hedging; continuous-time cohort models for longevity; solvency of insurance portfolios; solvency requirements; longevity and interest-rate risk

JEL Classification: G22, G32

Suggested Citation

Jevtic, Petar and Regis, Luca, Assessing the Solvency of Insurance Portfolios Via a Continuous Time Cohort Model (July 7, 2014). IMT Lucca EIC Working Paper Series 07 July 2014, Available at SSRN: https://ssrn.com/abstract=2500346 or http://dx.doi.org/10.2139/ssrn.2500346

Petar Jevtic

McMaster University - Department of Mathematics and Statistics ( email )

1280 Main Street West
Hamilton, Ontario L8S 4M4
Canada

Luca Regis (Contact Author)

University of Turin ( email )

Corso Unione Sovietica 218 bis
Torino, Turin 10100
Italy

Collegio Carlo Alberto

Piazza Albarello , 8
Turin
Italy

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