Journal of Applied Probability

Differentiation of some functionals of risk processes, and optimal reserve allocation

Stéphane Loisel

Source: J. Appl. Probab. Volume 42, Number 2 (2005), 379-392.

Abstract

For general risk processes, we introduce and study the expected time-integrated negative part of the process on a fixed time interval. Differentiation theorems are stated and proved. They make it possible to derive the expected value of this risk measure, and to link it with the average total time below 0, studied by Dos Reis, and the probability of ruin. We carry out differentiation of other functionals of one-dimensional and multidimensional risk processes with respect to the initial reserve level. Applications to ruin theory, and to the determination of the optimal allocation of the global initial reserve that minimizes one of these risk measures, illustrate the variety of fields of application and the benefits deriving from an efficient and effective use of such tools.

Primary Subjects: 60G17
Secondary Subjects: 60G55, 91B30, 91B32, 62P05
Keywords: Ruin theory; sample path property; optimal reserve allocation; multidimensional risk process; risk measure

Full-text: Access denied (no subscription detected)

We're sorry, but we are unable to provide you with the full text of this article because we are not able to identify you as a subscriber.
If you have a personal subscription to this journal, then please login. If you are already logged in, then you may need to update your profile to register your subscription. Read more about accessing full-text
Links and Identifiers

Permanent link to this document: http://projecteuclid.org/euclid.jap/1118777177
Digital Object Identifier: doi:10.1239/jap/1118777177
Mathematical Reviews number (MathSciNet): MR2145483
Zentralblatt MATH identifier: 1079.60038

References

Dos Reis, A. E. (1993). How long is the surplus below zero? Insurance Math. Econom. 12, 23--38.
Mathematical Reviews (MathSciNet): MR1220359
Dufresne, F. and Gerber, H. U. (1988). The surpluses immediately before and at ruin, and the amount of the claim causing ruin. Insurance Math. Econom. 7, 193--199.
Mathematical Reviews (MathSciNet): MR1015183
Gerber, H. U. (1988). Mathematical fun with ruin theory. Insurance Math. Econom. 7, 15--23.
Mathematical Reviews (MathSciNet): MR971860
Loisel, S. (2005). Finite-time ruin probabilities in the Markov-modulated multivariate compound Poisson model with common shocks, and impact of dependence. Working paper, Cahiers de recherche de l'ISFA, WP2026.
Picard, P. (1994). On some measures of the severity of ruin in the classical Poisson model. Insurance Math. Econom. 14, 107--115.
Mathematical Reviews (MathSciNet): MR1292960

2009 © Applied Probability Trust