Hostname: page-component-cd9895bd7-p9bg8 Total loading time: 0 Render date: 2024-12-25T08:13:32.648Z Has data issue: false hasContentIssue false

On the absolute ruin in a MAP risk model with debit interest

Published online by Cambridge University Press:  01 July 2016

Zhimin Zhang*
Affiliation:
Chongqing University
Hailiang Yang*
Affiliation:
The University of Hong Kong
Hu Yang*
Affiliation:
Chongqing University
*
Postal address: Department of Statistics and Actuarial Science, Chongqing University, Chongqing, P. R. China.
∗∗∗ Postal address: Department of Statistics and Actuarial Science, The University of Hong Kong, Pokfulam Road, Hong Kong.
Postal address: Department of Statistics and Actuarial Science, Chongqing University, Chongqing, P. R. China.
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 a risk model where claims arrive according to a Markovian arrival process (MAP). When the surplus becomes negative or the insurer is in deficit, the insurer could borrow money at a constant debit interest rate to repay the claims. We derive the integro-differential equations satisfied by the discounted penalty functions and discuss the solutions. A matrix renewal equation is obtained for the discounted penalty function provided that the initial surplus is nonnegative. Based on this matrix renewal equation, we present some asymptotic formulae for the discounted penalty functions when the claim size distributions are heavy tailed.

Type
General Applied Probability
Copyright
Copyright © Applied Probability Trust 2011 

References

Ahn, S. and Badescu, A. L. (2007). On the analysis of the Gerber–Shiu discounted penalty function for risk processes with Markovian arrivals. Insurance Math. Econom. 41, 234249.CrossRefGoogle Scholar
Asmussen, S. (2000). Ruin Probabilities. World Scientific, River Edge, NJ.CrossRefGoogle Scholar
Asmussen, S. (2003). Applied Probability and Queues, 2nd edn. Springer, New York.Google Scholar
Asmussen, S., Foss, S. and Korshunov, D. (2003). Asymptotics for sums of random variables with local subexponential behavior. J. Theoret. Prob. 16, 489518.Google Scholar
Asmussen, S., Fløe Henriksen, L. and Klüppelberg, C. (1994). Large claims approximations for risk processes in a Markovian environment. Stoch. Process. Appl. 54, 2943.CrossRefGoogle Scholar
Breuer, L. (2008). First passage times for Markov additive processes with positive Jumps of phase type. J. Appl. Prob. 45, 779799.CrossRefGoogle Scholar
Badescu, A.L. et al. (2005a). The Joint density of the surplus prior to ruin and the deficit at ruin for a correlated risk process. Scand. Actuarial J. 2005, 433446.Google Scholar
Badescu, A.L. et al. (2005b). Risk processes analyzed as fluid queues. Scand. Actuarial J. 2005, 127141.CrossRefGoogle Scholar
Cai, J. (2007). On the time value of absolute ruin with debit interest. Adv. Appl. Prob. 39, 343359.Google Scholar
Cheung, E. C. K. and Landriault, D. (2010). A generalized penalty function with the maximum surplus prior to ruin in a MAP risk model. Insurance Math. Econom. 46, 127134.CrossRefGoogle Scholar
Dassios, A. and Embrechts, P. (1989). Martingales and insurance risk. Commun. Statist. Stoch. Models 5, 181217.CrossRefGoogle Scholar
Embrechts, P. and Schmidli, H. (1994). Ruin estimation for a general insurance model. Adv. Appl. Prob. 26, 404422.CrossRefGoogle Scholar
Embrechts, P., Klüppelberg, C. and Mikosch, T. (1997). Modelling Extremal Events. Springer, Berlin.Google Scholar
Gerber, H. U. 1971. Der Einfluss von Zins auf die Ruinwahrscheinlichkeit. Bull. Swiss Assoc. Actuaries 71, 6370.Google Scholar
Gerber, H. U. and Shiu, E. S. W. (1998). On the time value of ruin. N. Amer. Actuarial J. 2, 4878.Google Scholar
Gerber, H. U. and Yang, H. (2007). Absolute ruin probabilities in a Jump diffusion risk model with investment. N. Amer. Actuarial J. 11, 159169.Google Scholar
Klüppelberg, C. (1988). Subexponential distributions and integrated tails. J. Appl. Prob. 25, 132141.Google Scholar
Klüppelberg, C. (1989). Subexponential distributions and characterizations of related classes. Prob. Theory Relat. Fields 82, 259269.Google Scholar
Konstantinides, D. G., Ng, K. W. and Tang, Q. (2010). The probabilities of absolute ruin in the renewal risk model with constant force of interest. J. Appl. Prob. 47, 323334.CrossRefGoogle Scholar
Linz, P. (1985). Analytical and Numerical Methods for Volterra Equations (SIAM Stud. Appl. Math. 7). Society for Industrial and Applied Mathematics, Philadelphia, PA.CrossRefGoogle Scholar
Rolski, T., Schmidli, H., Schmidt, V. and Teugels, J. (1999). Stochastic Processes for Insurance and Finance. John Wiley, Chichester.Google Scholar
Tang, Q. and Wei, L. (2010). Asymptotic aspects of the Gerber–Shiu function in the renewal risk model using Wiener–Hopf factorization and convolution equivalence. Insurance Math. Econom. 46, 1931.CrossRefGoogle Scholar
Yin, C. and Wang, C. (2010). The perturbed compound Poisson risk process with investment and debit interest. Methodology Comput. Appl. Prob. 12, 391413.CrossRefGoogle Scholar