Hostname: page-component-586b7cd67f-l7hp2 Total loading time: 0 Render date: 2024-11-23T21:43:07.290Z Has data issue: false hasContentIssue false

Some limiting properties of the bounds of the present value function of a life insurance portfolio

Published online by Cambridge University Press:  14 July 2016

Yi Zhang*
Affiliation:
Zhejiang University
Zhengyan Lin*
Affiliation:
Zhejiang University
Chengguo Weng*
Affiliation:
University of Waterloo
*
Postal address: Department of Mathematics, Zhejiang University, Hangzhou, 310027, P. R. China.
Postal address: Department of Mathematics, Zhejiang University, Hangzhou, 310027, P. R. China.
∗∗∗∗Postal address: Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada. Email address: [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

Under certain assumptions on the dependence structure of the residual lives of the insured (i.e. their independence, positive association, or negative association), in this paper we establish some laws of large numbers for the convex upper bounds, derived by the technique of comonotonicity, of the present value function of a homogeneous portfolio composed of the whole-life insurance policies.

Type
Research Papers
Copyright
© Applied Probability Trust 2006 

References

Ahcan, A., Darkiewicz, G., Goovaerts, M. and Hoedemakers, T. (2006). Computation of convex bounds for present value functions with random payments. J. Comput. Appl. Math. 186, 2342.CrossRefGoogle Scholar
Beekman, J. A. and Fuelling, C. P. (1993). One approach to dual randomness in life insurance. Scand. Actuarial J. 1993, 173182.Google Scholar
Bellhouse, D. R. and Panjer, H. H. (1981). Stochastic modelling of interest rates with applications to life contingencies – Part II. J. Risk Insurance 48, 628637.CrossRefGoogle Scholar
Birkel, T. (1988). A note on the strong law of large numbers for positively dependent random variables. Statist. Prob. Lett. 7, 1720.CrossRefGoogle Scholar
Boyle, P. P. (1976). Rates of return as random variables. J. Risk Insurance 43, 693711.CrossRefGoogle Scholar
Dhaene, J. (1989). Stochastic interest rates and autoregressive integrated moving average processes. ASTIN Bull. 19, 131138.CrossRefGoogle Scholar
Dhaene, J. and Goovaerts, M. J. (1996). Dependency of risks and stop-loss order. ASTIN Bull. 26, 201212.CrossRefGoogle Scholar
Dhaene, J. and Goovaerts, M. J. (1997). On the dependency of risks in the individual life model. Insurance Math. Econom. 19, 243253.CrossRefGoogle Scholar
Dhaene, J. et al. (2002a). The concept of comonotonicity in actuarial science and finance: theory. Insurance Math. Econom. 31, 333.CrossRefGoogle Scholar
Dhaene, J. et al. (2002b). The concept of comonotonicity in actuarial science and finance: application. Insurance Math. Econom. 31, 133161.CrossRefGoogle Scholar
Goovaerts, M. J. and Dhaene, J. (1999). Supermodular ordering and stochastic annuities. Insurance Math. Econom. 24, 281290.CrossRefGoogle Scholar
Goovaerts, M. J. and Redant, R. (1999). On the distribution of IBNR reserves. Insurance Math. Econom. 25, 19.CrossRefGoogle Scholar
Goovaerts, M. J., Dhaene, J. and De Schepper, A. (2000). Stochastic upper bounds for present value functions. J. Risk Insurance Theory 67, 114.CrossRefGoogle Scholar
Hall, P. and Heyde, C. C. (1980). Martingale Limit Theory and Its Application. Academic Press, New York.Google Scholar
Hoedemakers, T., Darkiewicz, G., Dhaene, J. and Goovaerts, M. (2006). On the distribution of life annuities with stochastic interest rates. To appear in Insurance Math. Econom. CrossRefGoogle Scholar
Kaas, R., Dhaene, J. and Goovaerts, M. J. (2000). Upper and lower bounds for sums of random variables. Insurance Math. Econom. 27, 151168.CrossRefGoogle Scholar
Kaas, R. et al. (2002). A simple geometric proof that comonotonic risks have the convex-largest sum. ASTIN Bull. 32, 7180.CrossRefGoogle Scholar
Lin, Z. (2003). Asymptotic normality of kernel estimates of a density function under association dependence. Acta Math. Sci. 23, 345350.CrossRefGoogle Scholar
Liu, J., Gan, S. and Chen, P. (1999). The Hájeck–Rènyi inequality for the NA random variables and its application. Statist. Prob. Lett. 43, 99105. (Correction: 44, 210.)CrossRefGoogle Scholar
Newman, C. M. (1980). Normal fluctuations and the FKG inequalities. Commun. Math. Phys. 74, 119128.CrossRefGoogle Scholar
Norberg, R. (1990). Payment measures, interest and discounting. An axiomatic approach with applications to insurance. Scand. Actuarial J. 1990, 1433.CrossRefGoogle Scholar
Panjer, H. H. and Bellhouse, D. R. (1980). Stochastic modelling of interest rates with applications to life contingencies. J. Risk Insurance 47, 91110.CrossRefGoogle Scholar
Parker, G. (1994a). Stochastic analysis of a portfolio of endowment insurance policies. Scand. Actuarial J. 1994, 119130.CrossRefGoogle Scholar
Parker, G. (1994b). Two stochastic approaches for discounting actuarial functions. ASTIN Bull. 24, 167181.CrossRefGoogle Scholar
Parker, G. (1997). Stochastic analysis of the interaction between investment and insurance risks. N. Amer. Actuarial J. 1, 5571.CrossRefGoogle Scholar
Simon, S., Goovaerts, M. J. and Dhaene, J. (2000). An easy computable upper bound for the price of an arithmetic Asian option. Insurance Math. Econom. 26, 175183.CrossRefGoogle Scholar
Vyncke, D., Goovaerts, M. J. and Dhaene, J. (2001). Convex upper and lower bounds for present value functions. Appl. Stoch. Models Business Industry 17, 149164.CrossRefGoogle Scholar
Wang, S. and Dhaene, J. (1998). Comonotonicity, correlation order and stop-loss premiums. Insurance Math. Econom. 22, 235243.CrossRefGoogle Scholar
Waters, H. R. (1978). The moments and distributions of actuarial functions. J. Inst. Actuaries 105, 6175.CrossRefGoogle Scholar
Wilkie, A. D. (1976). The rate of interest as a stochastic process: theory and applications. In Trans. 20th Internat. Congress Actuaries, Vol. 1 (Tokyo, 1976), pp. 325338.Google Scholar