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A discrete-time risk model with Poisson ARCH claim-number process
Authors:Jiahui Li  Kam Chuen Yuen
Institution:Department of Statistics and Actuarial Science, The University of Hong Kong, Hong Kong, P. R. China
Abstract:Abstract

In this paper, we propose a discrete-time risk model with the claim number following an integer-valued autoregressive conditional heteroscedasticity (ARCH) process with Poisson deviates. In this model, the current claim number depends on the previous observations. Within this framework, the equation for finding the adjustment coefficient is derived. Numerical studies are also carried out to examine the impact of the Poisson ARCH dependence structure on the ruin probability.
Keywords:Adjustment coefficient  discrete-time risk model  integer-valued time series  Poisson ARCH process  ruin probability
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