Reserve estimate based on the claims data of individual customers

Suppose the claims data of individual customers consist of the delay times in reporting the claims, delay times in payments and the severities of claims. A mixture of two multivariate power-normal (MPN) distributions and a degenerate distribution is fitted to the vector of variables consisting of th...

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Main Authors: Ang, Siew Ling, Pooi, Ah Him, Ng, Kok Haur
Format: Article
Published: Institute for Mathematical Research (INSPEM), Universiti Putra Malaysia 2021
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Online Access:http://eprints.um.edu.my/35042/
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spelling my.um.eprints.350422022-09-07T08:12:31Z http://eprints.um.edu.my/35042/ Reserve estimate based on the claims data of individual customers Ang, Siew Ling Pooi, Ah Him Ng, Kok Haur QA Mathematics Suppose the claims data of individual customers consist of the delay times in reporting the claims, delay times in payments and the severities of claims. A mixture of two multivariate power-normal (MPN) distributions and a degenerate distribution is fitted to the vector of variables consisting of the sum insured, the claim and payment records until the present time and the outstanding claims liabilities (OCL). When the sum insured together with the claim and payment records of a customer until the present time are given, a conditional distribution of the OCL is derived from the fitted MPN mixture distribution. The distribution of the sum of the OCL over the customers in a company is obtained from the conditional distributions of the OCL pertaining to the individual customers. From the distribution of the sum of OCL, the provision of risk margin for adverse deviation can be calculated to provide a 75% level of capital adequacy at the company level. Institute for Mathematical Research (INSPEM), Universiti Putra Malaysia 2021-05 Article PeerReviewed Ang, Siew Ling and Pooi, Ah Him and Ng, Kok Haur (2021) Reserve estimate based on the claims data of individual customers. Malaysian Journal of Mathematical Sciences, 15 (2). pp. 323-331. ISSN 1823-8343,
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic QA Mathematics
spellingShingle QA Mathematics
Ang, Siew Ling
Pooi, Ah Him
Ng, Kok Haur
Reserve estimate based on the claims data of individual customers
description Suppose the claims data of individual customers consist of the delay times in reporting the claims, delay times in payments and the severities of claims. A mixture of two multivariate power-normal (MPN) distributions and a degenerate distribution is fitted to the vector of variables consisting of the sum insured, the claim and payment records until the present time and the outstanding claims liabilities (OCL). When the sum insured together with the claim and payment records of a customer until the present time are given, a conditional distribution of the OCL is derived from the fitted MPN mixture distribution. The distribution of the sum of the OCL over the customers in a company is obtained from the conditional distributions of the OCL pertaining to the individual customers. From the distribution of the sum of OCL, the provision of risk margin for adverse deviation can be calculated to provide a 75% level of capital adequacy at the company level.
format Article
author Ang, Siew Ling
Pooi, Ah Him
Ng, Kok Haur
author_facet Ang, Siew Ling
Pooi, Ah Him
Ng, Kok Haur
author_sort Ang, Siew Ling
title Reserve estimate based on the claims data of individual customers
title_short Reserve estimate based on the claims data of individual customers
title_full Reserve estimate based on the claims data of individual customers
title_fullStr Reserve estimate based on the claims data of individual customers
title_full_unstemmed Reserve estimate based on the claims data of individual customers
title_sort reserve estimate based on the claims data of individual customers
publisher Institute for Mathematical Research (INSPEM), Universiti Putra Malaysia
publishDate 2021
url http://eprints.um.edu.my/35042/
_version_ 1744649205494841344
score 13.18916