Application of a Vine Copula for Multi-Line Insurance Reserving

This article introduces a novel use of the vine copula which captures dependence among multi-line claim triangles, especially when an insurance portfolio consists of more than two lines of business. First, we suggest a way to choose an optimal joint loss development model for multiple lines of busin...

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Main Authors: Himchan Jeong, Dipak Dey
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Risks
Subjects:
Online Access:https://www.mdpi.com/2227-9091/8/4/111
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author Himchan Jeong
Dipak Dey
author_facet Himchan Jeong
Dipak Dey
author_sort Himchan Jeong
collection DOAJ
description This article introduces a novel use of the vine copula which captures dependence among multi-line claim triangles, especially when an insurance portfolio consists of more than two lines of business. First, we suggest a way to choose an optimal joint loss development model for multiple lines of business that considers marginal distribution, vine copula structure, and choice of family for each pair of copulas. The performance of the model is also demonstrated with Bayesian model diagnostics and out-of-sample validation measures. Finally, we provide an implication of the dependence modeling, which allows a company to analyze and establish the risk capital for whole portfolio.
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spelling doaj.art-bce9c57b09f2431dac235ffc2ea0e6e62023-11-20T18:01:06ZengMDPI AGRisks2227-90912020-10-018411110.3390/risks8040111Application of a Vine Copula for Multi-Line Insurance ReservingHimchan Jeong0Dipak Dey1Department of Statistics and Actuarial Science, Simon Fraser University, 8888 University Drive, Burnaby, BC V5A 1S6, CanadaDepartment of Statistics, University of Connecticut, 215 Glenbrook Rd. U-4120, Storrs, CT 06269-4120, USAThis article introduces a novel use of the vine copula which captures dependence among multi-line claim triangles, especially when an insurance portfolio consists of more than two lines of business. First, we suggest a way to choose an optimal joint loss development model for multiple lines of business that considers marginal distribution, vine copula structure, and choice of family for each pair of copulas. The performance of the model is also demonstrated with Bayesian model diagnostics and out-of-sample validation measures. Finally, we provide an implication of the dependence modeling, which allows a company to analyze and establish the risk capital for whole portfolio.https://www.mdpi.com/2227-9091/8/4/111Bayesian inferencemodel selectionmulti-line reservingproperty and casualty insurancevine copula
spellingShingle Himchan Jeong
Dipak Dey
Application of a Vine Copula for Multi-Line Insurance Reserving
Risks
Bayesian inference
model selection
multi-line reserving
property and casualty insurance
vine copula
title Application of a Vine Copula for Multi-Line Insurance Reserving
title_full Application of a Vine Copula for Multi-Line Insurance Reserving
title_fullStr Application of a Vine Copula for Multi-Line Insurance Reserving
title_full_unstemmed Application of a Vine Copula for Multi-Line Insurance Reserving
title_short Application of a Vine Copula for Multi-Line Insurance Reserving
title_sort application of a vine copula for multi line insurance reserving
topic Bayesian inference
model selection
multi-line reserving
property and casualty insurance
vine copula
url https://www.mdpi.com/2227-9091/8/4/111
work_keys_str_mv AT himchanjeong applicationofavinecopulaformultilineinsurancereserving
AT dipakdey applicationofavinecopulaformultilineinsurancereserving