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Exit problem of a two-dimensional risk process from the quadrant: Exact and asymptotic results

Florin Avram, +2 more
- 01 Dec 2008 - 
- Vol. 18, Iss: 6, pp 2421-2549
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TLDR
In this paper, the authors consider two insurance companies (or two branches of the same company) that divide between them both claims and premia in some specified proportions, and they model the occurrence of claims according to a renewal process.
Abstract
Consider two insurance companies (or two branches of the same company) that divide between them both claims and premia in some specified proportions. We model the occurrence of claims according to a renewal process. One ruin problem considered is that of the corresponding two-dimensional risk process first leaving the positive quadrant; another is that of entering the negative quadrant. When the claims arrive according to a Poisson process, we obtain a closed form expression for the ultimate ruin probability. In the general case, we analyze the asymptotics of the ruin probability when the initial reserves of both companies tend to infinity under a Cramer light-tail assumption on the claim size distribution.

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Journal ArticleDOI

Universal Survival Probability for a d-Dimensional Run-and-Tumble Particle.

TL;DR: In this article, the authors considered an active run-and-tumble particle (RTP) in one dimension and showed that the probability that the position of the RTP does not change sign up to time is independent of the number of tumblings.
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A two-dimensional risk model with proportional reinsurance

TL;DR: In this paper, an extension of the two-dimensional risk model introduced by Avram et al. (2008a) is considered and the Laplace transform of the time until at least one insurer is ruined is derived when the claim sizes follow a general distribution.
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Optimal Dividend Strategies for Two Collaborating Insurance Companies

TL;DR: In this paper, the authors considered a two-dimensional optimal dividend problem in the context of two insurance companies with compound Poisson surplus processes, who collaborate by paying each other's deficit when possible.
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Recursive methods for a multi-dimensional risk process with common shocks

TL;DR: In this article, a multi-dimensional risk model with common shocks is studied using a simple probabilistic approach via observing the risk processes at claim instants, recursive integral formulas are developed for the survival probabilities as well as for a class of Gerber-Shiu expected discounted penalty functions that include the surplus levels at ruin.
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Tail asymptotics for a Lévy-driven tandem queue with an intermediate input

TL;DR: This paper considers a Lévy-driven tandem queue with an intermediate input assuming that its buffer content process obtained by a reflection mapping has the stationary distribution, and derives exact tail asymptotics for the marginal stationary distribution of the second buffer content.
References
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Journal ArticleDOI

Dependency of risks and stop-loss order.

Jan Dhaene, +1 more
- 01 Nov 1996 - 
TL;DR: In this article, the correlation order is defined as a partial order between bivariate distributions with equal marginals, which is a helpfull tool for deriving results concerning the riskiness of portfolios with pairwise dependencies.
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Stochastic bounds on sums of dependent risks

TL;DR: In this article, Dhaene and Goovaerts extended these results by showing how to compute bounds on P(S>s) and more generally on E{φ(S)} for monotone, but not necessarily convex functions φ.
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The safest dependence structure among risks

TL;DR: In this article, the authors investigated the dependence in Frechet spaces containing mutually exclusive risks and showed that, under some reasonable assumptions, the safest dependence structure, in the sense of the minimal stop-loss premiums for the aggregate claims involved, is obtained with the Frechet lower bound and precisely corresponds to the exclusive risks.
Journal ArticleDOI

On the dependency of risks in the individual life model.

TL;DR: In this article, the authors consider several types of dependencies between the different risks of a life insurance portfolio and derive results for weaker forms of dependency, where the only non-independent risks of the portfolio are the risks of couples.
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