Hostname: page-component-586b7cd67f-t7fkt Total loading time: 0 Render date: 2024-11-22T21:12:57.154Z Has data issue: false hasContentIssue false

First-Order Mortality Rates and Safe-Side Actuarial Calculations in Life Insurance

Published online by Cambridge University Press:  09 August 2013

Marcus C. Christiansen
Affiliation:
Institut für Versicherungswissenschaften, Universität Ulm, D-89069 Ulm, Germany
Michel M. Denuit
Affiliation:
Institut de Statistique, Biostatistique et Sciences Actuarielles, Université Catholique de Louvain, B-1348 Louvain-la-Neuve, Belgium

Abstract

In this paper, we discuss how to define conservative biometric bases in life insurance. The first approach is based on cumulative hazard (or survival probabilities), the second one on the hazard itself, and the third one on the rate of increase of the hazard. The second case has been studied in the literature and the sum-at-risk plays a central role in defining safe-side requirements. The two other cases appear to be new and concepts related to sum-at-risk are defined.

Type
Research Article
Copyright
Copyright © International Actuarial Association 2010

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Bowers, N.L., Gerber, H.U., Hickman, J.C., Jones, D.A. and Nesbitt, C.J. (1997) Actuarial Mathematics, 2nd edition. The Society of Actuaries, Schaumburg, Illinois.Google Scholar
Christiansen, M.C. (2008a) A sensitivity analysis concept for life insurance with respect to a valuation basis of infinite dimension. Insurance: Mathematics and Economics 42, 680690.Google Scholar
Christiansen, M.C. (2008b) A sensitivity analysis of typical life insurance contracts with respect to the technical basis. Insurance: Mathematics and Economics 42, 787796.Google Scholar
Christiansen, M.C. (2010) Biometric worst-case scenarios for multi-state life insurance policies. Insurance: Mathematics and Economics 47, 190197.Google Scholar
Christiansen, M.C. and Helwich, M. (2008) Some further ideas concerning the interaction between insurance and investment risks. Blätter der DGVFM 29(2), 253266.Google Scholar
Dienst, H.-R. (1995) Zur aktuariellen Problematik der Invaliditätsversicherung. Verlag Versicherungswirtschaft, Karlsruhe.Google Scholar
Hoem, J.M. (1988) The versatility of the Markov chain as a tool in the mathematics of life insurance. Transactions of the 23rd International Congress of Actuaries R, 171202.Google Scholar
Kalashnikov, V. and Norberg, R. (2003) On the Sensitivity of Premiums and Reserves to Changes in Valuation Elements. Scandinavian Actuarial Journal 3, 238256.Google Scholar
Lee, R.D. and Carter, L.R. (1992) Modelling and Forecasting U.S. Mortality. Journal of the American Statistical Association 87, 659671.Google Scholar
Lidstone, G.J. (1905) Changes in pure premium values consequent upon variations in the rate of interest or rate of mortality. Journal of the Institute of Actuaries 39, 209252.Google Scholar
Linnemann, P. (1993) On the application of Thiele's differential equation in life insurance. Insurance: Mathematics and Economics 13, 6374.Google Scholar
Norberg, R. (1985) Lidstone in the continuous case. Scandinavian Actuarial Journal, 2732.Google Scholar
Ramlau-Hansen, H. (1988) The emergence of profit in life insurance. Insurance: Mathematics and Economics 7, 225236.Google Scholar