Ruin Probability Analysis in Automobile Insurance Using Gamma-Cubic Transmuted Exponential Distribution for Claim Severity

Insurance companies must confront and manage financial risks to ensure their survival. This article analyzes and manages risks by estimating ruin probability using the newly developed Gamma-Cubic Transmuted Exponential (GCTE) claim severity distribution. The GCTE distribution is obtained by mixing d...

Full description

Saved in:
Bibliographic Details
Main Authors: Jiramet Hengcharoensuk, Adisak Moumeesri
Format: Article
Language:English
Published: Ram Arti Publishers 2025-04-01
Series:International Journal of Mathematical, Engineering and Management Sciences
Subjects:
Online Access:https://www.ijmems.in/cms/storage/app/public/uploads/volumes/24-IJMEMS-24-0642-10-2-486-505-2025.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1825201893377310720
author Jiramet Hengcharoensuk
Adisak Moumeesri
author_facet Jiramet Hengcharoensuk
Adisak Moumeesri
author_sort Jiramet Hengcharoensuk
collection DOAJ
description Insurance companies must confront and manage financial risks to ensure their survival. This article analyzes and manages risks by estimating ruin probability using the newly developed Gamma-Cubic Transmuted Exponential (GCTE) claim severity distribution. The GCTE distribution is obtained by mixing distribution and Cubic Rank Transmuted map techniques. Its parameters are estimated using the maximum likelihood estimation (MLE) method. The performance of GCTE distribution is compared with well-known loss distributions such as Gamma, Weibull, Lognormal, Inverse Gaussian, mixture Lognormal, and the Cubic Transmuted Exponential (CTE) distribution to identify the best-fitting distribution for claim severity data. To estimate ruin probability, a sample data simulation technique known as acceptance-rejection is employed in the surplus process. Additionally, the exponential function is used to predict the minimum capital reserve necessary to safeguard the company under acceptable risk levels. These methodologies aid decision-making and promote financial stability within non-life insurance companies.
format Article
id doaj-art-408b3c3f44194dfca9ae870e0e37ed5d
institution Kabale University
issn 2455-7749
language English
publishDate 2025-04-01
publisher Ram Arti Publishers
record_format Article
series International Journal of Mathematical, Engineering and Management Sciences
spelling doaj-art-408b3c3f44194dfca9ae870e0e37ed5d2025-02-07T16:17:13ZengRam Arti PublishersInternational Journal of Mathematical, Engineering and Management Sciences2455-77492025-04-01102486505https://doi.org/10.33889/IJMEMS.2025.10.2.024Ruin Probability Analysis in Automobile Insurance Using Gamma-Cubic Transmuted Exponential Distribution for Claim SeverityJiramet Hengcharoensuk0Adisak Moumeesri1Department of Statistics, Faculty of Science, Silpakorn University, Nakhon Pathom, 73000, Thailand.Department of Statistics, Faculty of Science, Silpakorn University, Nakhon Pathom, 73000, Thailand.Insurance companies must confront and manage financial risks to ensure their survival. This article analyzes and manages risks by estimating ruin probability using the newly developed Gamma-Cubic Transmuted Exponential (GCTE) claim severity distribution. The GCTE distribution is obtained by mixing distribution and Cubic Rank Transmuted map techniques. Its parameters are estimated using the maximum likelihood estimation (MLE) method. The performance of GCTE distribution is compared with well-known loss distributions such as Gamma, Weibull, Lognormal, Inverse Gaussian, mixture Lognormal, and the Cubic Transmuted Exponential (CTE) distribution to identify the best-fitting distribution for claim severity data. To estimate ruin probability, a sample data simulation technique known as acceptance-rejection is employed in the surplus process. Additionally, the exponential function is used to predict the minimum capital reserve necessary to safeguard the company under acceptable risk levels. These methodologies aid decision-making and promote financial stability within non-life insurance companies.https://www.ijmems.in/cms/storage/app/public/uploads/volumes/24-IJMEMS-24-0642-10-2-486-505-2025.pdfcubic rank transmutationsloss distributionclaim severityruin probabilitycapital reserve
spellingShingle Jiramet Hengcharoensuk
Adisak Moumeesri
Ruin Probability Analysis in Automobile Insurance Using Gamma-Cubic Transmuted Exponential Distribution for Claim Severity
International Journal of Mathematical, Engineering and Management Sciences
cubic rank transmutations
loss distribution
claim severity
ruin probability
capital reserve
title Ruin Probability Analysis in Automobile Insurance Using Gamma-Cubic Transmuted Exponential Distribution for Claim Severity
title_full Ruin Probability Analysis in Automobile Insurance Using Gamma-Cubic Transmuted Exponential Distribution for Claim Severity
title_fullStr Ruin Probability Analysis in Automobile Insurance Using Gamma-Cubic Transmuted Exponential Distribution for Claim Severity
title_full_unstemmed Ruin Probability Analysis in Automobile Insurance Using Gamma-Cubic Transmuted Exponential Distribution for Claim Severity
title_short Ruin Probability Analysis in Automobile Insurance Using Gamma-Cubic Transmuted Exponential Distribution for Claim Severity
title_sort ruin probability analysis in automobile insurance using gamma cubic transmuted exponential distribution for claim severity
topic cubic rank transmutations
loss distribution
claim severity
ruin probability
capital reserve
url https://www.ijmems.in/cms/storage/app/public/uploads/volumes/24-IJMEMS-24-0642-10-2-486-505-2025.pdf
work_keys_str_mv AT jiramethengcharoensuk ruinprobabilityanalysisinautomobileinsuranceusinggammacubictransmutedexponentialdistributionforclaimseverity
AT adisakmoumeesri ruinprobabilityanalysisinautomobileinsuranceusinggammacubictransmutedexponentialdistributionforclaimseverity