Risk process with stochastic premiums

The Cramer-Lundberg model with stochastic premiums which is natural generalization of classical dynamic risk model is considered. Using martingale technique the Lundberg inequality for ruin probability is proved and characteristic equations for Lundberg coefficients are presented for certain classes...

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Datum:2008
Hauptverfasser: Zinchenko, N., Andrusiv, A.
Format: Artikel
Sprache:Englisch
Veröffentlicht: Інститут математики НАН України 2008
Online Zugang:https://nasplib.isofts.kiev.ua/handle/123456789/4576
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Назва журналу:Digital Library of Periodicals of National Academy of Sciences of Ukraine
Zitieren:Risk process with stochastic premiums / N. Zinchenko, A. Andrusiv // Theory of Stochastic Processes. — 2008. — Т. 14 (30), № 3-4. — С. 189-208. — Бібліогр.: 36 назв.— англ.

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Digital Library of Periodicals of National Academy of Sciences of Ukraine
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author Zinchenko, N.
Andrusiv, A.
author_facet Zinchenko, N.
Andrusiv, A.
citation_txt Risk process with stochastic premiums / N. Zinchenko, A. Andrusiv // Theory of Stochastic Processes. — 2008. — Т. 14 (30), № 3-4. — С. 189-208. — Бібліогр.: 36 назв.— англ.
collection DSpace DC
description The Cramer-Lundberg model with stochastic premiums which is natural generalization of classical dynamic risk model is considered. Using martingale technique the Lundberg inequality for ruin probability is proved and characteristic equations for Lundberg coefficients are presented for certain classes of stochastic premiums and claims. The simple diffusion and de Vylder approximations for the ruin probability are introduced and investigated similarly to classical Cramer-Lundberg set-up. The weak and strong invariance principles for risk processes with stochastic premiums are discussed. Certain variants of the strong invariance principle for risk process are proved under various assumptions on claim size distributions. Obtained results are used for investigation the rate of growth of the risk process and its increments. Various modifications of the LIL and Erdos-Renyi-type SSLN are proved both for the cases of small and large claims.
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institution Digital Library of Periodicals of National Academy of Sciences of Ukraine
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spelling Zinchenko, N.
Andrusiv, A.
2009-12-07T15:40:47Z
2009-12-07T15:40:47Z
2008
Risk process with stochastic premiums / N. Zinchenko, A. Andrusiv // Theory of Stochastic Processes. — 2008. — Т. 14 (30), № 3-4. — С. 189-208. — Бібліогр.: 36 назв.— англ.
0321-3900
https://nasplib.isofts.kiev.ua/handle/123456789/4576
The Cramer-Lundberg model with stochastic premiums which is natural generalization of classical dynamic risk model is considered. Using martingale technique the Lundberg inequality for ruin probability is proved and characteristic equations for Lundberg coefficients are presented for certain classes of stochastic premiums and claims. The simple diffusion and de Vylder approximations for the ruin probability are introduced and investigated similarly to classical Cramer-Lundberg set-up. The weak and strong invariance principles for risk processes with stochastic premiums are discussed. Certain variants of the strong invariance principle for risk process are proved under various assumptions on claim size distributions. Obtained results are used for investigation the rate of growth of the risk process and its increments. Various modifications of the LIL and Erdos-Renyi-type SSLN are proved both for the cases of small and large claims.
en
Інститут математики НАН України
Risk process with stochastic premiums
Article
published earlier
spellingShingle Risk process with stochastic premiums
Zinchenko, N.
Andrusiv, A.
title Risk process with stochastic premiums
title_full Risk process with stochastic premiums
title_fullStr Risk process with stochastic premiums
title_full_unstemmed Risk process with stochastic premiums
title_short Risk process with stochastic premiums
title_sort risk process with stochastic premiums
url https://nasplib.isofts.kiev.ua/handle/123456789/4576
work_keys_str_mv AT zinchenkon riskprocesswithstochasticpremiums
AT andrusiva riskprocesswithstochasticpremiums