Random number generation and quasi-Monte Carlo methods
Random number generation and quasi-Monte Carlo methods
Implementation and tests of low-discrepancy sequences
ACM Transactions on Modeling and Computer Simulation (TOMACS)
The perturbed Sparre Andersen model with a threshold dividend strategy
Journal of Computational and Applied Mathematics
Stochastic successive approximation method for assessing the insolvency risk of an insurance company
Cybernetics and Systems Analysis
The perturbed compound Poisson risk model with constant interest and a threshold dividend strategy
Journal of Computational and Applied Mathematics
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In this paper, a collective risk reserve process of an insurance portfolio characterized by a homogeneous Poisson claim number process, a constant premium flow and independent and identically distributed claims is considered. In the presence of a non-linear dividend barrier strategy and interest on the free reserve we derive equations for the probability of ruin and the expected present value of dividend payments which give rise to several numerical number-theoretic solution techniques. For various claim size distributions and a parabolic barrier numerical tests and comparisons of these techniques are performed. In particular, the efficiency gain obtained by implementing low-discrepancy sequences instead of pseudo-random sequences is investigated.