Abstract
We study semi-Markov risk processes which describe a dynamic of summary capital of an insurance company. The theorems on stability, asymptotic and exponential stability of zero state of the processes with probability 1 are proved. We also investigate the optimal stochastic control of the controlled semi-Markov processes. The Bellman equation for semi-Markov risk processes is derived. Analogue of Dynkin formulae and boundary value problem for semi-Markov random evolutions, and properties of the respected stochastic Liapunov functions are used.
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© 1999 Kluwer Academic Publishers
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Swishchuk, A. (1999). Stochastic Stability and Optimal Control of Semi-Markov Risk Processes in Insurance Mathematics. In: Janssen, J., Limnios, N. (eds) Semi-Markov Models and Applications. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-3288-6_19
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DOI: https://doi.org/10.1007/978-1-4613-3288-6_19
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-3290-9
Online ISBN: 978-1-4613-3288-6
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