A Risk Process with Delayed Claims and Constant Dividend Barrier

2019 ◽  
Vol 64 (1) ◽  
pp. 103-123
Author(s):  
W. Zou ◽  
J. H. Xie
2019 ◽  
Vol 64 (1) ◽  
pp. 126-150
Author(s):  
Wei Zou ◽  
Wei Zou ◽  
Jie-hua Xie ◽  
Jie-hua Xie

1996 ◽  
Vol 33 (01) ◽  
pp. 57-70
Author(s):  
Bartłomiej Błaszczyszyn ◽  
Tomasz Rolski

Let N be a stationary Markov-modulated marked point process on ℝ with intensity β ∗ and consider a real-valued functional ψ(N). In this paper we study expansions of the form Eψ(N) = a 0 + β ∗ a 1 + ·· ·+ (β∗ ) nan + o((β ∗) n ) for β ∗→ 0. Formulas for the coefficients ai are derived in terms of factorial moment measures of N. We compute a 1 and a 2 for the probability of ruin φ u with initial capital u for the risk process in the Markov-modulated environment; a 0 = 0. Moreover, we give a sufficient condition for ϕu to be an analytic function of β ∗. We allow the premium rate function p(x) to depend on the actual risk reserve.


2011 ◽  
Vol 53 (9-10) ◽  
pp. 1700-1707 ◽  
Author(s):  
Kam Chuen Yuen ◽  
Chuancun Yin

1992 ◽  
Vol 29 (1) ◽  
pp. 73-81 ◽  
Author(s):  
Thomas H. Scheike

We construct a risk process, where the law of the next jump time or jump size can depend on the past through earlier jump times and jump sizes. Some distributional properties of this process are established. The compensator is found and some martingale properties are discussed.


2009 ◽  
Vol 33 (11) ◽  
pp. 4062-4068 ◽  
Author(s):  
Mi Ock Jeong ◽  
Kyung Eun Lim ◽  
Eui Yong Lee
Keyword(s):  

1996 ◽  
Vol 33 (2) ◽  
pp. 523-535 ◽  
Author(s):  
Søren Asmussen ◽  
Offer Kella

We consider a dam in which the release rate depends both on the state and some modulating process. Conditions for the existence of a limiting distribution are established in terms of an associated risk process. The case where the release rate is a product of the state and the modulating process is given special attention, and in particular explicit formulas are obtained for a finite state space Markov modulation.


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