Penentuan Premi Asuransi Jiwa Berjangka Status Last Survivor Menggunakan Model GFGM-Type II Copula

Peni Erawati - Universitas Negeri Padang
Muhammad Subhan - Universitas Negeri Padang

Abstract


The last survivor status of term life insurance is multiple life insurance whose benefits are paid by the insurance company to the heirs if all policyholders have died within a predetermined period of time. The risk of death of a married couple is usually assumed to be independent of each other. But in fact there is a relationship between the risk of death for the couple. The method that can be used to determine the premium for married couples with the assumption of independence is the GFGM-Type II Copula method. The purpose of this study is to determine the formulation of the last survivor term life insurance premium using the GFGM-Type II Copula method. The results obtained from this study are the formulation of the last survivor term life insurance premium using the GFGM-Type II Copula method. Based on the simulation results, it is concluded that the last survivor term life insurance premium calculated with the assumption of independence is smaller than using GFGM-Type II copula Copula.


Full Text:

PDF

References


Subhan, M. 2017 Pengantar Matematika Aktuaria, Padang: Universitas Negeri Padang.

Statistik Perasuransian 2019. Jakarta : Otoritas Jasa Keuangan Republik Indonesia

Sari, D. P. 2017. Aktuaria Lanjutan. Padang: Universitas Negeri Padang.

Kara, E. K. 2021. On Actuarial Premiums For Joint Last Survivor Life Insurance Based On Asymmetric Dependent Lifetimes. Current Academic Studies in Science and Mathematics Sciences-II, 33.

Apriyanto, & Effendie, A.R. 2015. Generalisasi Copula Farlie-Gumbel-Morgenstern Dan Penerapannya Untuk Menentukan Harga Net Single Premi Pada Asuransi Pertanian Di Indonesia. Yogyakarta: Universitas Gajah Mada.

Jung, Y. S., Kim, J. M., & Kim, J. 2008. New approach of directional dependence in exchange markets using generalized FGM copula function. Communications in Statistics—Simulation and Computation®, 37(4), 772-788.

Uhm, D., Kim, J. M., & Jung, Y. S. 2012. Large asymmetry and directional dependence by using copula modeling to currency exchange rates. Model Assisted Statistics and Applications, 7(4), 327-340.




DOI: http://dx.doi.org/10.24036/unpjomath.v7i2.12570