AbstractThis paper analyzes the continuity and differentiability of several classes of ruin functions under Markov-modulated insurance risk models with a barrier and threshold dividend strategy, respectively. Many ruin related functions in the literature, such as the expectation and the Laplace transform of the Gerber–Shiu discounted penalty function at ruin, of the total discounted dividends until ruin, and of the time-integrated discounted penalty and/or reward function of the risk process, etc, are special cases of the functions considered in this paper. Continuity and differentiability of these functions in the corresponding dual models are also studied
In this thesis, we study the expected discounted penalty function and the total dividend payments in...
Chen et al. (2014), studied a discrete semi-Markov risk model that covers existing risk models such ...
Time to ruin, insolvency penalties and dividends in a Markov-modulated multi-risk model with common ...
This paper analyzes the continuity and differentiability of several classes of ruin functions under ...
AbstractThis paper analyzes the continuity and differentiability of several classes of ruin function...
In this paper, we consider the compound Poisson risk model influenced by an external Markovian envir...
In the literature of ruin theory, there have been extensive studies trying to generalize the classic...
In this paper, we study a Markov regime-switching risk model where dividends are paid out according ...
In this paper, we study the joint Laplace transform and probability generating function of some rand...
We consider a Markovian regime-switching risk model (also called the Markov-modulated risk model) wi...
In this paper, a discrete Markov-modulated risk model with delayed claims, random premium income, an...
In this paper, a risk model where claims arrive according to a Markovian arrival process (MAP) is co...
In this paper we consider a Markov-modulated risk model, where the premium rates, claim frequency an...
In this paper, a Markovian risk model with two-type claims is considered. In such a risk model, the ...
Risk theory has been a very active research area over the last decades. The main objectives of the t...
In this thesis, we study the expected discounted penalty function and the total dividend payments in...
Chen et al. (2014), studied a discrete semi-Markov risk model that covers existing risk models such ...
Time to ruin, insolvency penalties and dividends in a Markov-modulated multi-risk model with common ...
This paper analyzes the continuity and differentiability of several classes of ruin functions under ...
AbstractThis paper analyzes the continuity and differentiability of several classes of ruin function...
In this paper, we consider the compound Poisson risk model influenced by an external Markovian envir...
In the literature of ruin theory, there have been extensive studies trying to generalize the classic...
In this paper, we study a Markov regime-switching risk model where dividends are paid out according ...
In this paper, we study the joint Laplace transform and probability generating function of some rand...
We consider a Markovian regime-switching risk model (also called the Markov-modulated risk model) wi...
In this paper, a discrete Markov-modulated risk model with delayed claims, random premium income, an...
In this paper, a risk model where claims arrive according to a Markovian arrival process (MAP) is co...
In this paper we consider a Markov-modulated risk model, where the premium rates, claim frequency an...
In this paper, a Markovian risk model with two-type claims is considered. In such a risk model, the ...
Risk theory has been a very active research area over the last decades. The main objectives of the t...
In this thesis, we study the expected discounted penalty function and the total dividend payments in...
Chen et al. (2014), studied a discrete semi-Markov risk model that covers existing risk models such ...
Time to ruin, insolvency penalties and dividends in a Markov-modulated multi-risk model with common ...