GA Delsing, MRH Mandjes, PJC Spreij… - … and Computing in …, 2020 - Springer
This paper develops asymptotics and approximations for ruin probabilities in a multivariate risk setting. We consider a model in which the individual reserve processes are driven by a …
S Pojer, S Thonhauser - Methodology and Computing in Applied …, 2023 - Springer
In this paper, we consider discounted penalty functions, also called Gerber-Shiu functions, in a Markovian shot-noise environment. At first, we exploit the underlying structure of piecewise …
M Chen, KC Yuen, J Guo - Applied Mathematics and Computation, 2014 - Elsevier
In this paper, we consider the survival probability for a discrete semi-Markov risk model, which assumes individual claims are influenced by a Markov chain with finite state space …
G Pang, Y Zheng - Statistics & Probability Letters, 2017 - Elsevier
We study a class of Markov-modulated compound Poisson processes whose arrival rates and the compound random variables are both modulated by a stationary finite-state Markov …
W Yu - Discrete Dynamics in Nature and Society, 2013 - Wiley Online Library
We consider a Markovian regime‐switching risk model (also called the Markov‐modulated risk model) with stochastic premium income, in which the premium income and the claim …
M Chen, J Guo, X Wu - Journal of Computational and Applied Mathematics, 2014 - Elsevier
In this paper, we consider the dividend problems for a discrete semi-Markov risk model, which assumes individual claims are influenced by a Markov chain with finite state space …
J Li, B Su, Z Wei, C Nie - Methodology and Computing in Applied …, 2022 - Springer
In this paper, we consider the problem of computing different types of finite time survival probabilities for a Markov-Modulated risk model and a Markov-Modulated risk model with …
The Cambridge dictionary describes risk as “the possibility of something bad happening". An event that leads to a financial loss can thus be referred to as a risk. In this thesis we discuss …