We examine discounted penalties at ruin for surplus dynamics driven by a general spectrally negative Lévy process; the natural class of stochastic processes which contains many examples of risk processes which have already been considered in the existing literature. Following from the important contributions of [Zhou, X., 2005. On a classical risk model with a constant dividend barrier. North Am. Act. J. 95-108] we provide an explicit characterization of a generalized version of the Gerber-Shiu function in terms of scale functions, streamlining and extending results available in the literature.Scale functions Ruin Spectrally negative Levy processes Gerber-Shiu function Laplace transform
In the context of classical ruin theory, ruin quantities (e.g. ruin probability and the time of ruin...
In the literature of ruin theory, there have been extensive studies trying to generalize the classic...
In this paper, we focus our analysis on the distribution function and the moments of the deficit at ...
Inspired by works of Landriault et al. [10, 11], we study the Gerber-Shiu distribution at Parisian r...
\u3cp\u3eWe consider a Cramér-Lundberg insurance risk process with the added feature of reinsurance....
We consider a Cramér-Lundberg insurance risk process with the added feature of reinsurance. If an ar...
In this paper, a risk model where claims arrive according to a Markovian arrival process (MAP) is co...
We consider a Cramér-Lundberg insurance risk process with the added feature of reinsurance. If an ar...
In this paper, results on spectrally negative Lévy processes are used to study the ruin probability ...
We analyse the general Levy insurance risk process for Levy measures in the convolution equivalence ...
Inspired by works of Landriault et al. [11, 12], we study the Gerber{Shiu distribution at Parisian r...
This paper studies the statistical estimation of the Gerber-Shiu discounted penalty functions in a g...
The Expected Discounted Penalty Function (EDPF) was intro-duced in a series of now classical papers ...
There is a vast literature in the analysis of the insurer's surplus process under the Sparre Anderse...
23 pages, 4 figuresThe field of risk theory has traditionally focused on ruin-related quantities. In...
In the context of classical ruin theory, ruin quantities (e.g. ruin probability and the time of ruin...
In the literature of ruin theory, there have been extensive studies trying to generalize the classic...
In this paper, we focus our analysis on the distribution function and the moments of the deficit at ...
Inspired by works of Landriault et al. [10, 11], we study the Gerber-Shiu distribution at Parisian r...
\u3cp\u3eWe consider a Cramér-Lundberg insurance risk process with the added feature of reinsurance....
We consider a Cramér-Lundberg insurance risk process with the added feature of reinsurance. If an ar...
In this paper, a risk model where claims arrive according to a Markovian arrival process (MAP) is co...
We consider a Cramér-Lundberg insurance risk process with the added feature of reinsurance. If an ar...
In this paper, results on spectrally negative Lévy processes are used to study the ruin probability ...
We analyse the general Levy insurance risk process for Levy measures in the convolution equivalence ...
Inspired by works of Landriault et al. [11, 12], we study the Gerber{Shiu distribution at Parisian r...
This paper studies the statistical estimation of the Gerber-Shiu discounted penalty functions in a g...
The Expected Discounted Penalty Function (EDPF) was intro-duced in a series of now classical papers ...
There is a vast literature in the analysis of the insurer's surplus process under the Sparre Anderse...
23 pages, 4 figuresThe field of risk theory has traditionally focused on ruin-related quantities. In...
In the context of classical ruin theory, ruin quantities (e.g. ruin probability and the time of ruin...
In the literature of ruin theory, there have been extensive studies trying to generalize the classic...
In this paper, we focus our analysis on the distribution function and the moments of the deficit at ...