The time to ruin in some additive risk models with random premium rates

Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

Standard

The time to ruin in some additive risk models with random premium rates. / Jacobsen, Martin.

I: Journal of Applied Probability, Bind 49, Nr. 4, 2012, s. 915-938.

Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

Harvard

Jacobsen, M 2012, 'The time to ruin in some additive risk models with random premium rates', Journal of Applied Probability, bind 49, nr. 4, s. 915-938.

APA

Jacobsen, M. (2012). The time to ruin in some additive risk models with random premium rates. Journal of Applied Probability, 49(4), 915-938.

Vancouver

Jacobsen M. The time to ruin in some additive risk models with random premium rates. Journal of Applied Probability. 2012;49(4):915-938.

Author

Jacobsen, Martin. / The time to ruin in some additive risk models with random premium rates. I: Journal of Applied Probability. 2012 ; Bind 49, Nr. 4. s. 915-938.

Bibtex

@article{596a94220d1641e5a11e1e01aaeec0a7,
title = "The time to ruin in some additive risk models with random premium rates",
abstract = "The risk processes considered in this paper are generated by an underlying Markov process with a regenerative structure and an independent sequence of independent and identically distributed claims. Between the arrivals of claims the process increases at a rate which is a nonnegative function of the present value of the Markov process. The intensity for a claim to occur is another nonnegative function of the value of the Markov process. The claim arrival times are the regeneration times for the Markov process. Two-sided claims are allowed, but the distribution of the positive claims is assumed to have a Laplace transform that is a rational function. The main results describe the joint Laplace transform of the time at ruin and the deficit at ruin. The method used consists in finding partial eigenfunctions for the generator of the joint process consisting of the Markov process and the accumulated claims process, a joint process which is also Markov. These partial eigenfunctions are then used to find a martingale that directly leads to an expression for the desired Laplace transform. In the final section, three examples are given involving different types of the underlying Markov process. ",
author = "Martin Jacobsen",
year = "2012",
language = "English",
volume = "49",
pages = "915--938",
journal = "Journal of Applied Probability",
issn = "0021-9002",
publisher = "Applied Probability Trust",
number = "4",

}

RIS

TY - JOUR

T1 - The time to ruin in some additive risk models with random premium rates

AU - Jacobsen, Martin

PY - 2012

Y1 - 2012

N2 - The risk processes considered in this paper are generated by an underlying Markov process with a regenerative structure and an independent sequence of independent and identically distributed claims. Between the arrivals of claims the process increases at a rate which is a nonnegative function of the present value of the Markov process. The intensity for a claim to occur is another nonnegative function of the value of the Markov process. The claim arrival times are the regeneration times for the Markov process. Two-sided claims are allowed, but the distribution of the positive claims is assumed to have a Laplace transform that is a rational function. The main results describe the joint Laplace transform of the time at ruin and the deficit at ruin. The method used consists in finding partial eigenfunctions for the generator of the joint process consisting of the Markov process and the accumulated claims process, a joint process which is also Markov. These partial eigenfunctions are then used to find a martingale that directly leads to an expression for the desired Laplace transform. In the final section, three examples are given involving different types of the underlying Markov process.

AB - The risk processes considered in this paper are generated by an underlying Markov process with a regenerative structure and an independent sequence of independent and identically distributed claims. Between the arrivals of claims the process increases at a rate which is a nonnegative function of the present value of the Markov process. The intensity for a claim to occur is another nonnegative function of the value of the Markov process. The claim arrival times are the regeneration times for the Markov process. Two-sided claims are allowed, but the distribution of the positive claims is assumed to have a Laplace transform that is a rational function. The main results describe the joint Laplace transform of the time at ruin and the deficit at ruin. The method used consists in finding partial eigenfunctions for the generator of the joint process consisting of the Markov process and the accumulated claims process, a joint process which is also Markov. These partial eigenfunctions are then used to find a martingale that directly leads to an expression for the desired Laplace transform. In the final section, three examples are given involving different types of the underlying Markov process.

M3 - Journal article

VL - 49

SP - 915

EP - 938

JO - Journal of Applied Probability

JF - Journal of Applied Probability

SN - 0021-9002

IS - 4

ER -

ID: 49699512