Hostname: page-component-cd9895bd7-p9bg8 Total loading time: 0 Render date: 2024-12-27T03:05:03.626Z Has data issue: false hasContentIssue false

Uniform Asymptotics for Discounted Aggregate Claims in Dependent Risk Models

Published online by Cambridge University Press:  30 January 2018

Yang Yang*
Affiliation:
Nanjing Audit University and Southeast University
Kaiyong Wang*
Affiliation:
Southeast University
Dimitrios G. Konstantinides*
Affiliation:
University of the Aegean
*
Postal address: School of Mathematics and Statistics, Nanjing Audit University, Nanjing, 210029, China. Email address: [email protected]
∗∗ Postal address: Department of Mathematics, Southeast University, Nanjing, 210096, China.
∗∗∗ Postal address: Department of Mathematics, University of the Aegean, Karlovassi, GR-83 200 Samos, Greece. 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.

In this paper we consider some nonstandard renewal risk models with some dependent claim sizes and stochastic return, where an insurance company is allowed to invest her/his wealth in financial assets, and the price process of the investment portfolio is described as a geometric Lévy process. When the claim size distribution belongs to some classes of heavy-tailed distributions and a constraint is imposed on the Lévy process in terms of its Laplace exponent, we obtain some asymptotic formulae for the tail probability of discounted aggregate claims and ruin probabilities holding uniformly for some finite or infinite time horizons.

Type
Research Article
Copyright
© Applied Probability Trust 

References

Asmussen, S. (1998). Subexponential asymptotics for stochastic processes: extremal behavior, stationary distributions and first passage probabilities. Ann. Appl. Prob. 8, 354374.CrossRefGoogle Scholar
Bingham, N. H., Goldie, C. M. and Teugels, J. L. (1987). Regular Variation. Cambridge University Press.CrossRefGoogle Scholar
Block, H. W., Savits, T. H. and Shaked, M. (1982). Some concepts of negative dependence. Ann. Prob. 10, 765772.CrossRefGoogle Scholar
Cai, J. (2004). Ruin probabilities and penalty functions with stochastic rates of interest. Stoch. Process. Appl. 112, 5378.CrossRefGoogle Scholar
Chen, Y. and Ng, K. W. (2007). The ruin probability of the renewal model with constant interest force and negatively dependent heavy-tailed claims. Insurance Math. Econom. 40, 415423.CrossRefGoogle Scholar
Cline, D. B. H. and Samorodnitsky, G. (1994). Subexponentiality of the product of independent random variables. Stoch. Process. Appl. 49, 7598.CrossRefGoogle Scholar
Cont, R. and Tankov, P. (2004). Financial Modelling with Jump Processes. Chapman & Hall/CRC, Boca Raton, FL.Google Scholar
Hao, X. and Tang, Q. (2008). A uniform asymptotic estimate for discounted aggregate claims with subexponential tails. Insurance Math. Econom. 43, 116120.CrossRefGoogle Scholar
Joag-Dev, K. and Proschan, F. (1983). Negative association of random variables, with applications. Ann. Statist. 11, 286295.CrossRefGoogle Scholar
Kalashnikov, V. and Konstantinides, D. (2000). Ruin under interest force and subexponential claims: a simple treatment. Insurance Math. Econom. 27, 145149.CrossRefGoogle Scholar
Kalashnikov, V. and Norberg, R. (2002). Power tailed ruin probabilities in the presence of risky investments. Stoch. Process. Appl. 98, 211228.CrossRefGoogle Scholar
Klüppelberg, C. and Stadtmüller, U. (1998). Ruin probabilities in the presence of heavy-tails and interest rates. Scand. Actuarial J. 1998, 4958.CrossRefGoogle Scholar
Konstantinides, D., Tang, Q. and Tsitsiashvili, G. (2002). Estimates for the ruin probability in the classical risk model with constant interest force in the presence of heavy tails. Insurance Math. Econom. 31, 447460.CrossRefGoogle Scholar
Lehmann, E. L. (1966). Some concepts of dependence. Ann. Math. Statist. 37, 11371153.CrossRefGoogle Scholar
Li, J. (2012). Asymptotics in a time-dependent renewal risk model with stochastic return. J. Math. Anal. Appl. 387, 10091023.CrossRefGoogle Scholar
Maulik, K. and Resnick, S. (2004). Characterizations and examples of hidden regular variation. Extremes 7, 3167.CrossRefGoogle Scholar
Maulik, K. and Zwart, B. (2006). Tail asymptotics for exponential functionals of Lévy processes. Stoch. Process. Appl. 116, 156177.CrossRefGoogle Scholar
Paulsen, J. (1993). Risk theory in a stochastic economic environment. Stoch. Process. Appl. 46, 327361.CrossRefGoogle Scholar
Paulsen, J. (2002). On Cramér-like asymptotics for risk processes with stochastic return on investments. Ann. Appl. Prob. 12, 12471260.CrossRefGoogle Scholar
Paulsen, J. and Gjessing, H. K. (1997). Ruin theory with stochastic return on investments. Adv. Appl. Prob. 29, 965985.CrossRefGoogle Scholar
Tang, Q. (2005). The finite time ruin probability of the compound Poisson model with constant interest force. J. Appl. Prob. 42, 608619.CrossRefGoogle Scholar
Tang, Q. (2007). Heavy tails of discounted aggregate claims in the continuous-time renewal model. J. Appl. Prob. 44, 285294.CrossRefGoogle Scholar
Tang, Q. and Tsitsiashvili, G. (2003). Precise estimates for the ruin probability in finite horizon in a discrete-time model with heavy-tailed insurance and financial risks. Stoch. Process. Appl. 108, 299325.CrossRefGoogle Scholar
Tang, Q., Wang, G. and Yuen, K. C. (2010). Uniform tail asymptotics for the stochastic present value of aggregate claims in the renewal risk model. Insurance Math. Econom. 46, 362370.CrossRefGoogle Scholar
Yang, Y. and Wang, Y. (2010). Asymptotics for ruin probability of some negatively dependent risk models with a constant interest rate and dominatedly-varying-tailed claims. Statist. Prob. Lett. 80, 143154.CrossRefGoogle Scholar
Yuen, K. C., Wang, G. and Ng, K. W. (2004). Ruin probabilities for a risk process with stochastic return on investments. Stoch. Process. Appl. 110, 259274.CrossRefGoogle Scholar
Yuen, K. C., Wang, G. and Wu, R. (2006). On the renewal risk process with stochastic interest. Stoch. Process. Appl. 116, 14961510.CrossRefGoogle Scholar