Proceedings of the 2016 International Conference on Social Science, Humanities and Modern Education (SSHME 2016)

Infinite-time Ruin Probability of a Discrete-time Risk Model with Dependent Claims

Authors
Rongfei Liu
Corresponding Author
Rongfei Liu
Available Online June 2016.
DOI
10.2991/sshme-16.2016.13How to use a DOI?
Keywords
One-sided linear process; Discrete-time risk model; Heavy-tailed innovations; Asymptotic estimate
Abstract

The infinite-time ruin probability of a discrete-time risk model with dependent claims and heavy-tailed innovations is investigated in this paper. The claims are assumed to follow a one-sided linear process with independent and identically distributed (i.i.d.) innovations. Stochastic discount factors, which are independent of the innovations, and constant premium rate are taken into account. As a result, we establish an asymptotic estimate for the infinite-time ruin probability.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 International Conference on Social Science, Humanities and Modern Education (SSHME 2016)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
June 2016
ISBN
10.2991/sshme-16.2016.13
ISSN
2352-5398
DOI
10.2991/sshme-16.2016.13How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Rongfei Liu
PY  - 2016/06
DA  - 2016/06
TI  - Infinite-time Ruin Probability of a Discrete-time Risk Model with Dependent Claims
BT  - Proceedings of the 2016 International Conference on Social Science, Humanities and Modern Education (SSHME 2016)
PB  - Atlantis Press
SP  - 66
EP  - 70
SN  - 2352-5398
UR  - https://doi.org/10.2991/sshme-16.2016.13
DO  - 10.2991/sshme-16.2016.13
ID  - Liu2016/06
ER  -