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Conditional law of risk processes given that ruin occurs

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  • Schmidli, Hanspeter

Abstract

A risk process that can be Markovised is conditioned on ruin. We prove that the process remains a Markov process. If the risk process is a PDMP, it is shown that the conditioned process remains a PDMP. For many examples the asymptotics of the parameters in both the light-tailed case and the heavy-tailed case are discussed.

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  • Schmidli, Hanspeter, 2010. "Conditional law of risk processes given that ruin occurs," Insurance: Mathematics and Economics, Elsevier, vol. 46(2), pages 281-289, April.
    • Handle: RePEc:eee:insuma:v:46:y:2010:i:2:p:281-289
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    References listed on IDEAS

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    1. Dufresne, Francois & Gerber, Hans U., 1991. "Risk theory for the compound Poisson process that is perturbed by diffusion," Insurance: Mathematics and Economics, Elsevier, vol. 10(1), pages 51-59, March.
    2. Avanzi, Benjamin & U. Gerber, Hans & S.W. Shiu, Elias, 2007. "Optimal dividends in the dual model," Insurance: Mathematics and Economics, Elsevier, vol. 41(1), pages 111-123, July.
    3. Asmussen, Søren & Klüppelberg, Claudia, 1996. "Large deviations results for subexponential tails, with applications to insurance risk," Stochastic Processes and their Applications, Elsevier, vol. 64(1), pages 103-125, November.
    4. Schmidli, Hanspeter, 1999. "On the Distribution of the Surplus Prior and at Ruin," ASTIN Bulletin, Cambridge University Press, vol. 29(2), pages 227-244, November.
    5. Hans Gerber & Elias Shiu, 1998. "On the Time Value of Ruin," North American Actuarial Journal, Taylor & Francis Journals, vol. 2(1), pages 48-72.
    6. Furrer, H. J. & Schmidli, H., 1994. "Exponential inequalities for ruin probabilities of risk processes perturbed by diffusion," Insurance: Mathematics and Economics, Elsevier, vol. 15(1), pages 23-36, October.
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    Cited by:

    1. Rolando Rubilar-Torrealba & Lisandro Fermin & Soledad Torres, 2025. "Modeling Maximum drawdown Records with Piecewise Deterministic Markov Processe in Capital Markets," Papers 2503.23221, arXiv.org.

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