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Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.14/135675

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Title
Ruin theory in a hidden Markov-modulated risk model
Related
Stochastic models, Vol. 27, Issue 3, (2011), p.474-489
DOI
10.1080/15326349.2011.593408
Publisher
Taylor & Francis
Date
2011
Author/Creator
Elliott, Robert J
Author/Creator
Siu, Tak Kuen
Author/Creator
Yang, Hailiang
Description
We discuss ruin theory when the insurance risk process is described by a hidden Markov, regime-switching diffusion process. The innovations approach to filtering theory is used to transform the partially observed modeling framework into one with complete observations. (Robust) filters for the hidden states of the chain are given. A partial differential equation for the ruin probability is derived in the filtered model.
Description
16 page(s)
Subject Keyword
Dirichlet problem
Subject Keyword
Filtering
Subject Keyword
Hidden Markovian regime-switching model
Subject Keyword
Innovations approach
Subject Keyword
Partial differential equation
Subject Keyword
Ruin probability
Resource Type
journal article
Organisation
Macquarie University. Dept. of Applied Finance and Actuarial Studies

Identifier
http://hdl.handle.net/1959.14/135675
Identifier
ISSN:1532-6349
Identifier
mq_res-ext-2-s2.0-80051543466
Language
eng
Reviewed
Reviewed
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Citation Format
E-mail Address
Subject
"Stochastic models"
 
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Innovations approach
Elliott, Robert J

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