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Ruin Probabilities of a Surplus Process Described by PDMPs

Ruin Probabilities of a Surplus Process Described by PDMPs
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摘要 In this paper we mainly study the ruin probability of a surplus process described by a piecewise deterministic Markov process (PDMP). An integro-differential equation for the ruin probability is derived. Under a certain assumption, it can be transformed into the ruin probability of a risk process whose premiums depend on the current reserves. Using the same argument as that in Asmussen and Nielsen, the ruin probability and its upper bounds are obtained. Finally, we give an analytic expression for ruin probability and its upper bounds when the claim-size is exponentially distributed. In this paper we mainly study the ruin probability of a surplus process described by a piecewise deterministic Markov process (PDMP). An integro-differential equation for the ruin probability is derived. Under a certain assumption, it can be transformed into the ruin probability of a risk process whose premiums depend on the current reserves. Using the same argument as that in Asmussen and Nielsen, the ruin probability and its upper bounds are obtained. Finally, we give an analytic expression for ruin probability and its upper bounds when the claim-size is exponentially distributed.
出处 《Acta Mathematicae Applicatae Sinica》 SCIE CSCD 2008年第1期117-128,共12页 应用数学学报(英文版)
基金 Supported by the National Natural Science Foundation of China (No. 10571092) the Research Fund for the Doctorial Program of Higher Education.
关键词 Ruin probability piecewise deterministic Markov process integro-differential equation volterra equation Ruin probability, piecewise deterministic Markov process, integro-differential equation, volterra equation
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参考文献7

  • 1Asmussen, S. Ruin probabilities. World Scientific, Singapore, 2000.
  • 2Asmussen, S., Nielsen, H.M. Ruin probabilities via local adjustment coefficients. J. Appl. Prob., 33: 736-755 (1995).
  • 3Dassios, A., Embrechts, P. Martingales and insurance risk. Communications in Statistics-stochastic Models, 5:1810-217 (1989).
  • 4Davis, M.H.A. Markov models and optimization. Chapman & Hall, London, 1993.
  • 5Davis, M.H.A. Piecewise-deterministic markov processes: a general class of non-diffusion stochastic models. J. R. Statist. Soc. (Series B), 46(3): 353-388 (1984).
  • 6Mikhlin, S.G. Integral equations: Pergamon Press: London, 1957.
  • 7Wang, G.J., Zhang, C.S., Wu, R. Ruin theory for the risk process described by PDMPs. Acta Mathematicae Applicatae Sinica, 59-70 (2003).

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