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COMPARISON OF FIRST-TO-DIE AND LAST-SURVIVOR JOINT LIFE INSURANCE UNDER COMMON SHOCK

BAREKENG: Jurnal Ilmu Matematika dan Terapan · Vol. 20 No. 2 (2026) · pp. 0913–0926

DOI
10.30598/barekengvol20iss2pp0913-0926
ISSN
2615-3017, 1978-7227
Published
2026-01-26
Publisher
PATTIMURA UNIVERSITY
Language
eng
License
creativecommons.org/licenses/by-sa/4.0

Abstract

Joint life insurance is a type of life insurance policy that covers two individuals, typically a married couple, under a single contract. The benefit is paid either upon the first death (First-to-Die) or after both individuals have passed away (Last-Survivor), depending on the policy type. This study explores the comparative analysis of First-to-Die and Last-Survivor joint life insurance policies under the impact of Common Shock. Common Shock refers to external catastrophic events, such as accidents or natural disasters, that simultaneously increase the mortality risk of both insured individuals. In this study, the Common Shock effect is parameterized by assigning additional joint mortality probabilities ranging from 2.5% to 10%, with increments of 2.5%. A total of 8 scenarios were tested. The first four scenarios vary the Common Shock probabilities at 2.5%, 5.0%, 7.5%, and 10.0%, while keeping the Interest Rate constant at 6.25%. The remaining four scenarios vary the Interest Rates at 5.50%, 5.75%, 6.00%, and 6.25%, with the Common Shock probability fixed at 10.0%. The analysis is conducted through actuarial modeling using present value formulas to assess total insurance premiums under these varying conditions. Using a benefit value of IDR 500,000,000.00 and a premium payment period of 10 years, this study demonstrates how these factors influence premium amounts. The incorporation of Common Shock into premium calculations offers a more realistic perspective in assessing insurance risk and cost. Mortality assumptions are based on the 2023 Indonesian Mortality Table published by BPJS Kesehatan, and the present value of future benefits is calculated using the specified interest rates. The findings reveal that the First-to-Die policy consistently results in significantly higher total premiums compared to the Last-Survivor policy under the same assumptions. On average across all scenarios, the total premium for First-to-Die is 5.67 times greater, primarily due to the higher probability of earlier benefit claims and shorter investment durations from the insurer’s perspective. The First-to-Die policy is more suitable for those with chronic illnesses or financial dependents, while the Last-Survivor policy is preferable for individuals focused on legacy planning.

Collaboration network of the authors

35 authors · 76 co-authorship links

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Co-authorOrganisationJoint articles
Hendra PerdanaAffiliation unknown11
Evy SulistianingsihAffiliation unknown7
Ray TamtamaAffiliation unknown4
Wirda AndaniAffiliation unknown4
Siti AprizkiyandariAffiliation unknown2
Dadan KusnandarAffiliation unknown1
Geby MarolaAffiliation unknown1
Hani Dwi RetnaniAffiliation unknown1
Inggriani Millennia TaralyAffiliation unknown1
Rita ApriliyantiAffiliation unknown1
Steven Jansen SinagaAffiliation unknown1
Tiffany ArdhithaAffiliation unknown1
Indah OktavianiAffiliation unknown1
Maria Welita DwinandaAffiliation unknown1
Widad ImtiyazAffiliation unknown1
Dinda TiaraAffiliation unknown1
Fritzgerald Muhammad ArsyiAffiliation unknown1
Aditya Nugraha PratamaAffiliation unknown1
Naomi Nessyana DebatarajaAffiliation unknown1
Nurfitri Imro'ahAffiliation unknown1
Herina MarlisaAffiliation unknown1
Rifkah Alfiyyah SaryAffiliation unknown1
Ainun ZakiahAffiliation unknown1
Noerul HaninAffiliation unknown1
Muhammad FauzanAffiliation unknown1
Nabila Izza HarnantaAffiliation unknown1
David Jordy DhandioAffiliation unknown1
Hairil Al-HamAffiliation unknown1
Preatin PreatinAffiliation unknown1
Nurhanifa NurhanifaAffiliation unknown1
Sania PujiantiAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://ojs3.unpatti.ac.id/index.php/barekeng/oai, first harvested 5 Nov 2026, last seen 5 Nov 2026.
Original metadata (oai_dc)
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	<dc:title xml:lang="en-US">COMPARISON OF FIRST-TO-DIE AND LAST-SURVIVOR JOINT LIFE INSURANCE UNDER COMMON SHOCK</dc:title>
	<dc:creator>Satyahadewi, Neva</dc:creator>
	<dc:creator>Jaya, Louis Putra</dc:creator>
	<dc:creator>Kurniawan, Hendri</dc:creator>
	<dc:creator>Pratiwi, Yuyun Eka</dc:creator>
	<dc:description xml:lang="en-US">Joint life insurance is a type of life insurance policy that covers two individuals, typically a married couple, under a single contract. The benefit is paid either upon the first death (First-to-Die) or after both individuals have passed away (Last-Survivor), depending on the policy type. This study explores the comparative analysis of First-to-Die and Last-Survivor joint life insurance policies under the impact of Common Shock. Common Shock refers to external catastrophic events, such as accidents or natural disasters, that simultaneously increase the mortality risk of both insured individuals. In this study, the Common Shock effect is parameterized by assigning additional joint mortality probabilities ranging from 2.5% to 10%, with increments of 2.5%. A total of 8 scenarios were tested. The first four scenarios vary the Common Shock probabilities at 2.5%, 5.0%, 7.5%, and 10.0%, while keeping the Interest Rate constant at 6.25%. The remaining four scenarios vary the Interest Rates at 5.50%, 5.75%, 6.00%, and 6.25%, with the Common Shock probability fixed at 10.0%. The analysis is conducted through actuarial modeling using present value formulas to assess total insurance premiums under these varying conditions. Using a benefit value of IDR 500,000,000.00 and a premium payment period of 10 years, this study demonstrates how these factors influence premium amounts. The incorporation of Common Shock into premium calculations offers a more realistic perspective in assessing insurance risk and cost. Mortality assumptions are based on the 2023 Indonesian Mortality Table published by BPJS Kesehatan, and the present value of future benefits is calculated using the specified interest rates. The findings reveal that the First-to-Die policy consistently results in significantly higher total premiums compared to the Last-Survivor policy under the same assumptions. On average across all scenarios, the total premium for First-to-Die is 5.67 times greater, primarily due to the higher probability of earlier benefit claims and shorter investment durations from the insurer’s perspective. The First-to-Die policy is more suitable for those with chronic illnesses or financial dependents, while the Last-Survivor policy is preferable for individuals focused on legacy planning.</dc:description>
	<dc:publisher xml:lang="en-US">PATTIMURA UNIVERSITY</dc:publisher>
	<dc:date>2026-01-26</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/18319</dc:identifier>
	<dc:identifier>10.30598/barekengvol20iss2pp0913-0926</dc:identifier>
	<dc:source xml:lang="en-US">BAREKENG: Jurnal Ilmu Matematika dan Terapan; Vol 20 No 2 (2026): BAREKENG: Journal of Mathematics and Its Application; 0913-0926</dc:source>
	<dc:source>2615-3017</dc:source>
	<dc:source>1978-7227</dc:source>
	<dc:source>10.30598/barekengvol20iss2year2026</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/18319/12403</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2026 Neva Satyahadewi, Louis Putra Jaya, Hendri Kurniawan, Yuyun Eka Pratiwi</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>