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Analysis of IBNR Liabilities with Interevent Times Depending on Claim Counts

We extend a recently proposed stochastic loss reserving model for liabilities from incurred but not reported (IBNR) micro-level claims. We propose viewing the number of claims from an event as a measure of catastrophic severity. This view covers catastrophes with arbitrarily many classes of magnitud...

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Detalles Bibliográficos
Autores principales: Geiger, Daniel J., Adekpedjou, Akim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9213644/
https://www.ncbi.nlm.nih.gov/pubmed/35754950
http://dx.doi.org/10.1007/s11009-022-09950-5
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author Geiger, Daniel J.
Adekpedjou, Akim
author_facet Geiger, Daniel J.
Adekpedjou, Akim
author_sort Geiger, Daniel J.
collection PubMed
description We extend a recently proposed stochastic loss reserving model for liabilities from incurred but not reported (IBNR) micro-level claims. We propose viewing the number of claims from an event as a measure of catastrophic severity. This view covers catastrophes with arbitrarily many classes of magnitude. Our Markovian model allows the time between disasters to depend on the previous event’s level of severity. Simultaneously, we let the discount rate vary in the same manner. First, we find the moments of IBNR liabilities in our model. Then, we permit a later time horizon for IBNR claims when considered jointly with incurred and reported claims.
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spelling pubmed-92136442022-06-22 Analysis of IBNR Liabilities with Interevent Times Depending on Claim Counts Geiger, Daniel J. Adekpedjou, Akim Methodol Comput Appl Probab Article We extend a recently proposed stochastic loss reserving model for liabilities from incurred but not reported (IBNR) micro-level claims. We propose viewing the number of claims from an event as a measure of catastrophic severity. This view covers catastrophes with arbitrarily many classes of magnitude. Our Markovian model allows the time between disasters to depend on the previous event’s level of severity. Simultaneously, we let the discount rate vary in the same manner. First, we find the moments of IBNR liabilities in our model. Then, we permit a later time horizon for IBNR claims when considered jointly with incurred and reported claims. Springer US 2022-06-22 2022 /pmc/articles/PMC9213644/ /pubmed/35754950 http://dx.doi.org/10.1007/s11009-022-09950-5 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Geiger, Daniel J.
Adekpedjou, Akim
Analysis of IBNR Liabilities with Interevent Times Depending on Claim Counts
title Analysis of IBNR Liabilities with Interevent Times Depending on Claim Counts
title_full Analysis of IBNR Liabilities with Interevent Times Depending on Claim Counts
title_fullStr Analysis of IBNR Liabilities with Interevent Times Depending on Claim Counts
title_full_unstemmed Analysis of IBNR Liabilities with Interevent Times Depending on Claim Counts
title_short Analysis of IBNR Liabilities with Interevent Times Depending on Claim Counts
title_sort analysis of ibnr liabilities with interevent times depending on claim counts
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9213644/
https://www.ncbi.nlm.nih.gov/pubmed/35754950
http://dx.doi.org/10.1007/s11009-022-09950-5
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