Actuarial Estimation of Unit-Linked Insurance Benefits Using the Point-to-Point Method with De Moivre’s Law
DOI:
https://doi.org/10.20956/j.v22i2.48361Keywords:
Unit link insurance, Point-to-Point, De Moivre’s Law, Endowment Life Insurance, InvestmentsAbstract
Unit-linked insurance is a life insurance product that combines elements of protection and investment. Hence, the value of the benefits received by policyholders depends on the performance of the underlying investment asset. This study aims to estimate the benefits of a dual-purpose life insurance (endowment) unit-linked policy using the Point-to-Point method and De Moivre's Law. The Point-to-Point method determines investment results based on changes in stock prices from the beginning to the end of the contract period. At the same time, De Moivre's Law is applied to calculate the insured's chances of life and death to determine actuarial benefits. The data used are daily share prices of PT Bank Negara Indonesia Tbk for the period July 2024-June 2025, assuming a risk-free interest rate of 5,25%. The results showed that the stock volatility of 0,378 reflected a moderate level of risk, while the endowment life insurance benefit obtained of 1,43061 resulted in a single premium of IDR 66.809.378. The investment benefits received by the heirs are calculated based on the benefit structure with a minimum warranty limit and a predetermined maximum value (cap). These findings show that the Point-to-Point method provides a transparent, easy-to-understand estimate of benefits and can be a relevant alternative for calculating the value of unit-linked endowment insurance products in Indonesia.
References
[1] Amalia, S. R., & Subhan, M., 2021. Penentuan premi tunggal asuransi jiwa dwiguna unit link dengan garansi minimum menggunakan metode annual ratchet dan model Black Scholes. Journal of Mathematics UNP, Vol. 6, No. 3, 59–65.
[2] Anggraini, D. P., & Aldila Nur Indah Berliana Ratam., 2025. The Influence of Literacy and Income on People’s Decisions to Have Insurance and Pension. Nusantara Hasana Journal, Vol. 5, No. 1, 338–347.
[3] Campbell, J. Y., Lo, A. W., & MacKinlay, A. C., 1997. The econometrics of financial markets. Princeton University Press.
[4] Dacev, N., 2017. The necessity of legal arrangement of unit-linked life insurance products. UTMS Journal of Economics, Vol. 8, No. 3, 259-269.
[5] Dickson, D. C. M., Hardy, M. R., & Waters, H. R., 2013. Actuarial mathematics for life contingent risks, Second Edition. Cambridge University Press., Cambridge.
[6] Gaillardetz, P., & Lakhmiri, J. Y., 2011. A New Premium Principle for Equity-Indexed Annuities. The Journal of Risk and Insurance, Vol.78, No.1, 245-265.
[7] Gerber, H. U., 1997. Life Insurance Mathematics, Third Edition. Springer-Verlag., Berlin.
[8] Hull., J.C, 2022. Options, Futures, and Other Derivatives, Tenth Edition. Pearson., Boston, MA, USA
[9] Marisa, M., 2025. Application of Peak Over Threshold Method for Value at Risk Estimation in Property Insurance. Nusantara Hasana Journal, vol 5 no. 3, 33-40.
[10] Miguel, A. A., 2009. Manual for SOA Exam MLC. Binghamton University
[11] Neill, A., 1977. Introduction to Actuarial Science. Heinemann Educational Books., London.
[12] Prasetyo, E. Y., Sumarwan, U., & Hasanah, N., 2024. Enhancing unit-linked insurance consumer loyalty: The role of service quality, information asymmetry, and agent marketing strategies. Journal of Consumer Sciences, Vol. 9, No. 1, 142–162.
[13] Tsay, R. S., 2010. Analysis of financial time series (3rd ed.). Wiley., Hoboken, NJ.
[14] Universitas Gadjah Mada, 2023. Analisis implementasi SEOJK No. 5 Tahun 2022 tentang Produk Asuransi yang Dikaitkan dengan Investasi (PAYDI). Universitas Gadjah Mada Institutional Repository.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Jurnal Matematika, Statistika dan Komputasi

This work is licensed under a Creative Commons Attribution 4.0 International License.

This work is licensed under a Creative Commons Attribution 4.0 International License.
Jurnal Matematika, Statistika dan Komputasi is an Open Access journal, all articles are distributed under the terms of the Creative Commons Attribution License, allowing third parties to copy and redistribute the material in any medium or format, transform, and build upon the material, provided the original work is properly cited and states its license. This license allows authors and readers to use all articles, data sets, graphics and appendices in data mining applications, search engines, web sites, blogs and other platforms by providing appropriate reference.




