Determination of Term Life Insurance Premiums with Varying Interest Rates Following Cox Ingersoll Ross Model and Varying Benefits Value CAUCHY โ€“Jurnal Matematika Murni dan Aplikasi Volume 7(4) (2023), Pages 630-640 p-ISSN: 2086-0382; e-ISSN: 2477-3344 Submitted: April 06, 2023 Reviewed: April 09, 2023 Accepted: April 16, 2023 DOI: http://dx.doi.org/10.18860/ca.v7i4.20542 Determination of Term Life Insurance Premiums with Varying Interest Rates Following Cox Ingersoll Ross Model and Varying Benefits Value Dian Puspita*, I Gusti Putu Purnaba, Donny Citra Lesmana Department of Mathematics, IPB University, Bogor, Indonesia Email : dianpuspita@apps.ipb.ac.id ABSTRACT In life will always be surrounded by various things that can happen, which can lead to the risk of death and financial loss. One way to overcome is insurance. One type of insurance is term life insurance. Term life insurance is an insurance that provides protection for a certain period that has been agreed in the policy. Insurance premiums and benefits in the long term will be affected by interest rates . One of the models that can be used is the Cox Ingersoll Ross model (CIR). This research purposes to simulate the CIR model that will be carried out to determine interest rates for calculating term life insurance premiums for five years, with premiums paid at the beginning of the 1 m interval and benefits paid at the end of the 1 m interval when the participant dies. The method to estimate parameters in CIR model is Ordinary Least Square. The results of this research is the CIR model can be applied to calculate the term life insurance premiums for five years and the premium calculation results show that the amount of the premium increase every year with varying benefits. The contribution of this research as information to insurance companies regarding the amount of premiums paid monthly. Copyright ยฉ 2023 by Authors, Published by CAUCHY Group. This is an open access article under the CC BY-SA License (https://creativecommons.org/licenses/by-sa/4.0/) Keywords: premium; term life insurance; CIR model; varying interest rates INTRODUCTION Insurance is a risk transfer from a financial loss caused by the deaths of insurance participants to an insurance company based on a policy agreement. One type of insurance is life insurance. Life insurance is insurance to cover the financial costs of death. Life insurance consists of four types namely whole life insurance, term life insurance, pure endowment insurance and endowment insurance [1]. In insurance, there is an agreement called a policy between insurance participants and insurance companies that include participants' obligation to pay premium contributions to insurance companies and insurance liability to pay the benefits if something happens to insurance participants has been compromised in policy, and other agreements associated with insurance. Premiums and benefits are affected by interest rates. Normally the interest rates used are constant even though the payment of the premiums for long-term payments on which interest rates will change over time. The Cox Ingersoll Ross model is one of the http://dx.doi.org/10.18860/ca.v7i4.20542 mailto:dianpuspita@apps.ipb.ac.id https://creativecommons.org/licenses/by-sa/4.0/ Determination of Term Life Insurance Premiums with Varying Interest Rates Following Cox Ingersoll Ross Model and Varying Benefits Value Dian Puspita 631 stochastic models used for fluctuating rates in period of time. The CIR model has a characteristic that the movement of interest rates would lead to the average interest rate and CIR model ensures that interest rates will be positive [2]. Research relating to the CIR model has been done, such as the moment for solution of the CIR model [3],[4] then installment joint life insurance actuarial models with the stochastic interest rates [5] , premiums calculation for life insurance [6],[7] and the Cox Ingersoll Ross estimate model at the Indonesian bank using the Maximum Likelihood Estimation method [8]. The CIR model involving life insurance premiums has been carried out, by determining long-term life insurance premiums with interest rates following Vasicek and the Cox Ingersoll Ross [9] and calculating joint life insurance premiums with Vasicek and CIR [10]. Research related to varying benefits and varying rates of interest has been researched regarding the annual net premium of term life insurance for cases of multiple decrements with varying interest rates [11] and single net premium of units linked term life insurance using the point to point method with varying benefits [12] . None of the literature states any limitations in using CIR model in research. In addition to the financial research related to insurance and interest rates, CIR model research is also in mathematic computation to solve problems related to method and formula in the CIR model such as research about applied the role of adaptivity in a numerical method for the Cox โ€“ Ingersoll โ€“ Ross model [13] and formula and full parameter in CIR model [14], [15]. Research that has been done before still calculates annual insurance premium payments and annual single premium payments paid at the beginning of the year. Therefore, this research aims to determine varying interest rates in the future using CIR model simulation to calculate term life insurance premiums 5 years with premiums paid at the beginning of 1 ๐‘š year intervals with ๐‘š = 12 months or premiums payment every month and benefits paid at the end of 1 ๐‘š year interval of death or at the end of each month of death with the amount varying benefits each year. METHODS Data This research used secondary data such as monthly history data BI interest rates period January 2015 until December 2020 which was accesed from website https://www.bps.go.id/indicator/13/379/12/bi rates.html and Indonesian Life Table 2019. The data analysis process was done using Octave Software and Microsoft Excel. Estimation CIR Model The Cox Ingersoll Ross model is one of the stochastic models used for fluctuating interest rates in period of time. The CIR model can be used to estimate interest rates that changes in period of time in the future. The algorithm in the process of determining CIR model following the steps: a. Input monthly history data BI interest rates period Januari 2015 until December 2019. b. Estimate parameters CIR model using algorithm as following the equation [9] . ๐œ… = โˆ‘ ๐‘Ÿ๐‘– ๐‘›โˆ’1 ๐‘–=1 โˆ‘ ( 1 ๐‘Ÿ๐‘– )๐‘›โˆ’1๐‘–=1 โˆ’ (๐‘› โˆ’ 1) 2 โˆ’ โˆ‘ ( 1 ๐‘Ÿ๐‘– ) โˆ‘ ๐‘Ÿ๐‘–+โˆ†๐‘ก + ๐‘›โˆ’1 ๐‘–=1 ๐‘›โˆ’1 ๐‘–=1 (๐‘› โˆ’ 1) โˆ‘ ๐‘Ÿ๐‘–+โˆ†๐‘ก ๐‘Ÿ๐‘– ๐‘›โˆ’1 ๐‘–=1 (โˆ‘ ๐‘Ÿ๐‘– ๐‘›โˆ’1 ๐‘–=1 โˆ‘ ( 1 ๐‘Ÿ๐‘– )๐‘›โˆ’1๐‘–=1 โˆ’ (๐‘› โˆ’ 1) 2) โˆ†๐‘ก (1) https://www.bps.go.id/indicator/13/379/12/bi%20rate.html Determination of Term Life Insurance Premiums with Varying Interest Rates Following Cox Ingersoll Ross Model and Varying Benefits Value Dian Puspita 632 ๐œฝ = โˆ‘ ๐’“๐’Š+โˆ†๐’• ๐’“๐’Š ๐’โˆ’๐Ÿ ๐’Š=๐Ÿ (โˆ‘ ๐’“๐’Š ๐’โˆ’๐Ÿ ๐’Š=๐Ÿ ) โˆ’ (๐’ โˆ’ ๐Ÿ)(โˆ‘ ๐’“๐’Š+โˆ†๐’• ๐’โˆ’๐Ÿ ๐’Š=๐Ÿ ) โˆ‘ ๐’“๐’Š ๐’โˆ’๐Ÿ ๐’Š=๐Ÿ โˆ‘ ( ๐Ÿ ๐’“๐’Š )๐’โˆ’๐Ÿ๐’Š=๐Ÿ โˆ’ (๐’ โˆ’ ๐Ÿ) ๐Ÿ โˆ’ โˆ‘ ( ๐Ÿ ๐’“๐’Š ) โˆ‘ ๐’“๐’Š+โˆ†๐’• + ๐’โˆ’๐Ÿ ๐’Š=๐Ÿ ๐’โˆ’๐Ÿ ๐’Š=๐Ÿ (๐’ โˆ’ ๐Ÿ) โˆ‘ ๐’“๐’Š+โˆ†๐’• ๐’“๐’Š ๐’โˆ’๐Ÿ ๐’Š=๐Ÿ (๐Ÿ) ๐ˆ = โˆš ๐Ÿ ๐’ โˆ’ ๐Ÿ โˆ‘ ( ๐’“๐’Š+โˆ†๐’• โˆš๐’“๐’Š โˆ’ ( ๐œฟ๐œฝโˆ†๐’• โˆš๐’“๐’Š + ๐Ÿ โˆ’ ๐œฟโˆ†๐’•๐’“๐’Š โˆš๐’“๐’Š )) ๐Ÿ ๐’โˆ’๐Ÿ ๐’Š=๐Ÿ (๐Ÿ‘) where ๐œฟ is the speed of mean reversion, ๐œฝ is the long-term value, ๐ˆ is the volatility interest rate, ๐’“๐’Š is the interest rates period of time, ๐’ is a lot of data used, and โˆ†๐’• is the interval of time. c. Fit Test CIR Model using the equation MAPE is one of the statistics method used for the level of forecasting accuracy. The better model can be used when MAPE has the lower value. MAPE is calculated following the equation: ๐‘€๐ด๐‘ƒ๐ธ = 100 ๐‘› โˆ‘ | ๐ด๐‘ก โˆ’ ๐น๐‘ก ๐ด๐‘ก | ๐‘› ๐‘ก=1 % (4) where ๐ด๐‘ก is an actual data by BI interest rates, ๐น๐‘ก is a data estimate by the CIR model, and ๐‘› is a lot of data used [13]. Simulation The Future Interest Rates The Cox Ingersoll Ross model is one of the stochastic models used for fluctuating interest rates in period of time. The CIR model can be used to simulate changes in interest rates in the future. The algorithm in the interest rates simulation process for the future using the CIR model following the steps: a. Input parameter values such as r0, ฮบ, ฮธ, ฯƒ, โˆ†t, m dan ๐‘ก. where r0 is interest rates in BI rates, ฮบ is the speed of mean reversion, ฮธ is the long-term value, ฯƒ is the volatility interest rate, m is a lot of simulations, and โˆ†t is the interval of time, and ๐‘ก is the due date monthly. b. Generate random variable ฮตt~ N (0,1) used to calculate interest rates r (t + โˆ†t). where ฮตt is a random number which is normally distributed N (0,1), r (t + โˆ†t) an interest rates period of time. c. Calculate future interest rates with octave software as follow the equation ๐’“๐’•+โˆ†๐’• = ๐’“๐’• + ๐œฟ (๐œฝ โˆ’ ๐’“๐’•)โˆ†๐’• + ๐›”โˆš๐’“๐’• โˆšโˆ†๐’• ๐œบ๐’• (5) where ๐ซ๐ญ is an interest rates in the CIR model d. Monte Carlo simulation for interest rates which is calculated following the equation ๏ฟฝฬ…๏ฟฝ๐’Š = ๐Ÿ ๐’Ž โˆ‘ ๐’“๐’Š๐’‹ ๐’Ž ๐’‹=๐Ÿ (๐Ÿ”) Determination Term Life Insurance Premium This research to determine term life insurance premium paid at the beginning of each month. The steps of research are carried out as follow: a. Calculate monthly interest rates in the CIR model using the equation Determination of Term Life Insurance Premiums with Varying Interest Rates Following Cox Ingersoll Ross Model and Varying Benefits Value Dian Puspita 633 ๐’‹๐’ = (๐Ÿ + ๐’Š๐’) ๐Ÿ/๐Ÿ๐Ÿ โˆ’ ๐Ÿ (๐Ÿ•) where ๐‘—๐‘› is monthly interest rates, ๐‘–๐‘› is an interest rates in the CIR model b. Calculate the discount factor of interest rates in the CIR model using the equation (๐’—โˆ—)๐’Œ = ๐Ÿ (๐Ÿ + ๐’‹๐Ÿ) ร— (๐Ÿ + ๐’‹๐Ÿ) ร— โ€ฆ ร— (๐Ÿ + ๐’‹๐’Œ) ๐ฐ๐ข๐ญ๐ก ๐Ÿ โ‰ค ๐ค โ‰ค ๐Ÿ”๐ŸŽ (๐Ÿ–) where (๐‘ฃโˆ—)๐‘˜ is the discount factor in ๐‘˜ month c. Calculate the probability of death for age fraction in Indonesian Life Table 2019 ๐‘ž๐‘ฅ+๐‘ก๐‘ฆ = ๐‘ฆ๐‘ž๐‘ฅ 1 โˆ’ ๐‘ก ๐‘ž๐‘ฅ (9) where ๐‘ž๐‘ฅ+๐‘ก๐‘ฆ is probability of death at fractional age with y = 1 12 and ๐‘ก = 1 12 , . . , 11 12 d. Calculate the actuarial present value of the annuity of term life insurance using the equation ๏ฟฝฬˆ๏ฟฝ ๐‘ฅโˆถ๐‘›| โˆ—(๐‘š) = 1 ๐‘š โˆ‘ (๐‘ฃโˆ—)๐‘˜ ๐‘š๐‘›โˆ’1 ๐‘˜=0 ๐‘๐‘ฅ๐‘˜ ๐‘š (10) where ๏ฟฝฬˆ๏ฟฝ ๐‘ฅโˆถ๐‘›| โˆ—(๐‘š) is the actuarial present value of the annuity monthly, (๐‘ฃโˆ—)๐‘˜ is the discount factor, ๐‘๐‘ฅ๐‘˜ ๐‘š is the probability of survival at fractional age with ๐‘˜ m = 1 12 , . . , 60 12 e. Calculate the actuarial present value of the varying benefits of term life insurance using the equation ๐ด ๐‘ฅโˆถ๐‘›| 1โˆ—(๐‘š) = โˆ‘ ๐‘๐‘› (๐‘ฃ โˆ—)๐‘˜+1 ๐‘š๐‘›โˆ’1 ๐‘˜=0 ๐‘๐‘ฅ๐‘˜ ๐‘š ๐‘ž ๐‘ฅ+ ๐‘˜ ๐‘š 1 ๐‘š (11) where ๐ด ๐‘ฅโˆถ๐‘›| 1โˆ—(๐‘š) is the actuarial present value of the varying benefits, ๐‘๐‘› is the varying benefit each year, (๐‘ฃโˆ—)๐‘˜ is the discount factor, ๐‘๐‘ฅ๐‘˜ ๐‘š is the probability of survival at fractional age with ๐‘˜ m = 1 12 , . . , 60 12 , ๐‘ž ๐‘ฅ+ ๐‘˜ ๐‘š 1 ๐‘š is the probability of death at fractional age. f. Calculate the value of monthly net premiums term life insurance using the equation ๐‘ƒ ๐‘ฅโˆถ ๐‘›| 1(๐‘š) = ๐ดโˆ—๐‘ฅ:๐‘›| 1(๐‘š) ๏ฟฝฬˆ๏ฟฝ ๐‘ฅโˆถ๐‘›| โˆ—(๐‘š) (12) where ๐‘ƒ ๐‘ฅโˆถ ๐‘›| 1(๐‘š) is the net premiums monthly , ๐ด ๐‘ฅโˆถ๐‘›| 1โˆ—(๐‘š) is the actuarial present value of the varying benefits, and ๏ฟฝฬˆ๏ฟฝ๐‘ฅโˆถ๐‘›| โˆ—(๐‘š) is the actuarial present value of the annuity monthly. RESULTS AND DISCUSSION Data This research used data monthly interest rates from the BI 7-Day Repo Rate from January 2015 until December 2020 which was accessed from website https://www.bps.go.id/indicator/13/379/12/bi rate.html. The data monthly interest rates from BI as shown in Figure 1. https://www.bps.go.id/indicator/13/379/12/bi%20rate.html Determination of Term Life Insurance Premiums with Varying Interest Rates Following Cox Ingersoll Ross Model and Varying Benefits Value Dian Puspita 634 Figure 1. Interest Rates BI 7-Day Repo Rate Estimation Parameter CIR Model Estimation parameters in the CIR Model calculates using equation (1) to (3) and solved with octave software. Estimate parameters CIR model as shown in Table 1. Table 1. Parameters CIR Model Parameter Value ๐œ… 0,5309 ๐œƒ 0,047218 ๐œŽ 0,7679 Based on Table 1, the parameter values are ฮบ is the speed of reversion as 0,5309, ฮธ is the long-term value as 0,047218 and ฯƒ is the volatility as 0,7679. The error value of the parameter values in the CIR model using MAPE in equation 4 is 3,9014%. Error MAPE <10% indicates that the estimated data is excellent for describing the actual data in BI interest rates. The comparison between data interest rates in BI and estimated data interest rates in the CIR model is shown in Figure 2. Figure 2. Interest Rates BI and Estimate Interest Rates CIR Model Simulation The Future Interest Rates Interest rates in the CIR model for January 2022 to December 2026 with numeric variable ๐‘Ÿ0 = 0,035, โˆ†๐‘ก = 1 12 , ๐‘› = 60, simulated 100 times and calculated using equation (5) with octave software. The results to estimate future interest rates as shown in Table 2. 0 0,01 0,02 0,03 0,04 0,05 0,06 0,07 0,08 0,09 1 4 7 10 13 16 19 22 25 28 31 34 37 40 43 46 49 52 55 58 61 64 67 70 In te re st R a te s B I 7 -D a y R e p o R a te Time (month) 0 0,01 0,02 0,03 0,04 0,05 0,06 1 2 3 4 5 6 7 8 9 10 11 12 V a lu e o f In te re st R a te s Time (month) BI Interest Rates Interest Rates CIR model Determination of Term Life Insurance Premiums with Varying Interest Rates Following Cox Ingersoll Ross Model and Varying Benefits Value Dian Puspita 635 Table 2. Interest Rates in the CIR Model Month Interest Rates (%) Month Interest Rates (%) Month Interest Rates (%) Month Interest Rates (%) Month Interest Rates (%) 1 0,025255 13 0,050327 25 0,053169 37 0,052515 49 0,036882 2 0,027668 14 0,056575 26 0,051294 38 0,047182 50 0,029854 3 0,025565 15 0,056146 27 0,044594 39 0,057194 51 0,040682 4 0,018886 16 0,055893 28 0,041811 40 0,053692 52 0,027046 5 0,016036 17 0,053001 29 0,037798 41 0,056603 53 0,048051 6 0,023475 18 0,045527 30 0,032737 42 0,061089 54 0,050728 7 0,028245 19 0,049414 31 0,038453 43 0,051467 55 0,048738 8 0,034898 20 0,052352 32 0,036794 44 0,031064 56 0,050071 9 0,029248 21 0,056978 33 0,044810 45 0,036524 57 0,043225 10 0,035791 22 0,047014 34 0,062456 46 0,038016 58 0,053388 11 0,040769 23 0,052004 35 0,072659 47 0,036822 59 0,065475 12 0,056432 24 0,052581 36 0,068307 48 0,032409 60 0,062451 The Effective Interest Rates Monthly CIR Model This research will calculate the value of term life insurance premiums for 5 years with premiums paid at the beginning of 1 ๐‘š with 1 ๐‘š = 1 12 years or premiums paid every month, so the effective interest rates in the CIR model are required every month. Calculate the effective interest rates every month using equation (7). The results of interest rate every month in the CIR model are shown in Table 3. Table. 3 Interest Rates Monthly in the CIR Model Month Interest Rates (%) Month Interest Rates (%) Month Interest Rates (%) Month Interest Rates (%) Month Interest Rates (%) 1 0,002081 13 0,004100 25 0,004326 37 0,004274 49 0,003023 2 0,002277 14 0,004597 26 0,004177 38 0,003849 50 0,002454 3 0,002106 15 0,004563 27 0,003642 39 0,004646 51 0,003329 4 0,001560 16 0,004543 28 0,003419 40 0,004368 52 0,002226 5 0,001327 17 0,004313 29 0,003097 41 0,004599 53 0,003919 6 0,001936 18 0,003717 30 0,002688 42 0,004954 54 0,004132 7 0,002324 19 0,004027 31 0,003149 43 0,004191 55 0,003974 8 0,002863 20 0,004261 32 0,003016 44 0,002553 56 0,004080 9 0,002405 21 0,004629 33 0,003660 45 0,002994 57 0,003533 10 0,002935 22 0,003836 34 0,005061 46 0,003114 58 0,004344 11 0,003336 23 0,004234 35 0,005862 47 0,003018 59 0,005299 12 0,004585 24 0,004280 36 0,005521 48 0,002661 60 0,005061 From the monthly effective interest rates in the CIR model, the value of the discount factor is calculated using equation (8). The results of calculating the discount factor with the monthly effective interest rate in the CIR model are shown in Table 4. Determination of Term Life Insurance Premiums with Varying Interest Rates Following Cox Ingersoll Ross Model and Varying Benefits Value Dian Puspita 636 Table 4. The Value of Discount Factor in the CIR Model Mont h Discoun t Factor (%) Month Discoun t Factor (%) Mont h Discoun t Factor (%) Month Discoun t Factor (%) Month Discoun t Factor (%) 1 0,99792 4 13 0,96678 0 25 0,91851 4 37 0,87593 3 49 0,83832 5 2 0,99565 7 14 0,96235 7 26 0,91469 3 38 0,87257 4 50 0,83627 2 3 0,99356 4 15 0,95798 6 27 0,91137 3 39 0,86853 9 51 0,83349 8 4 0,99201 6 16 0,95365 4 28 0,90826 8 40 0,86476 2 52 0,83164 6 5 0,99070 2 17 0,94955 8 29 0,90546 4 41 0,86080 4 53 0,82840 0 6 0,98878 8 18 0,94604 2 30 0,90303 7 42 0,85656 1 54 0,82499 1 7 0,98649 6 19 0,94224 7 31 0,90020 2 43 0,85298 6 55 0,82172 6 8 0,98368 0 20 0,93824 9 32 0,89749 5 44 0,85081 4 56 0,81838 7 9 0,98132 0 21 0,93392 6 33 0,89422 3 45 0,84827 4 57 0,81550 6 10 0,97844 8 22 0,93035 8 34 0,88971 9 46 0,84564 1 58 0,81197 9 11 0,97519 5 23 0,92643 5 35 0,88453 4 47 0,84309 7 59 0,80769 9 12 0,97074 4 24 0,92248 8 36 0,87967 7 48 0,84085 9 60 0,80363 2 The Actuarial Present Value of the Initial Annuity Term Life Insurance The actuarial present value of the initial annuity of term life insurance is used to obtain 5 years term life insurance premium will be calculated the actuarial present value of the annuity using equation (10) as follow. ๏ฟฝฬˆ๏ฟฝ 30โˆถ5| โˆ—(12) = 1 12 โˆ‘ (๐‘ฃโˆ—)๐‘˜ 59๐‘˜=0 ๐‘๐‘ฅ๐‘˜ 12 = 1 12 (1 + 1 (1 + 0,002081) ๐‘301 12 + 1 (1 + 0,002081)(1 + 0,002277) ๐‘302 12 + 1 (1 + 0,002081)(1 + 0,002277) โ€ฆ (1 + 0,005299) ๐‘3048 12 ๐‘3411 12 ) = 1 12 (1 + (0,9999375)(0,997924) + (0,999875)(0,995657) + โ‹ฏ + (0,807699)(0,9990700)(0,9990925) ๏ฟฝฬˆ๏ฟฝ 30โˆถ5| โˆ—(12) = 4,5220188 The results of calculating the initial annuity of 5 years term life insurance with varying interest rates in the CIR model for ages 30 to 75 years are shown in Figure 3. Determination of Term Life Insurance Premiums with Varying Interest Rates Following Cox Ingersoll Ross Model and Varying Benefits Value Dian Puspita 637 Figure 3. The Actuarial Present Value of the Initial Annuity Term Life Insurance The initial annuity value for a 30 years man is 4,522019, and the initial annuity value for a woman is 4,523243. The annuity value for a 31 years man is 4,521676, and the annuity value for a 31 years woman is 4,522986. The annuity value decreases every year because the older individual, the annuity value will decrease. The Actuarial Present Value of the Varying Benefit Term Life Insurance It is assumed that the number of benefits varies each year as in the first year is ๐‘1 = 1 unit, in the second year is ๐‘2 = 1,5 unit, in three years is ๐‘3 = 2 unit, in four years is ๐‘4 = 2,5 unit, and in five years is ๐‘5 = 3 unit. Calculate the actuarial present value of the varying benefits paid at the end of 1 12 years of death for an individual aged 30 years using equation (11) as follow. ๐ด 30โˆถ5| 1โˆ—(12) = โˆ‘ ๐‘๐‘› (๐‘ฃ โˆ—)๐‘˜+159๐‘˜=0 ๐‘30๐‘˜ 12 ๐‘ž 30+ ๐‘˜ 12 1 12 ๐ด 30โˆถ5| 1โˆ—(12) = โˆ‘ ๐‘1 (๐‘ฃ โˆ—)๐‘˜+111๐‘˜=0 ๐‘30๐‘˜ 12 ๐‘ž 30+ ๐‘˜ 12 1 12 + โˆ‘ ๐‘2 (๐‘ฃ โˆ—)๐‘˜+123๐‘˜=12 ๐‘30๐‘˜ 12 ๐‘ž 30+ ๐‘˜ 12 1 12 + โˆ‘ ๐‘3 (๐‘ฃ โˆ—)๐‘˜+135๐‘˜=24 ๐‘30๐‘˜ 12 ๐‘ž 30+ ๐‘˜ 12 1 12 + โˆ‘ ๐‘4 (๐‘ฃ โˆ—)๐‘˜+147๐‘˜=36 ๐‘30๐‘˜ 12 ๐‘ž 30+ ๐‘˜ 12 1 12 + โˆ‘ ๐‘5 (๐‘ฃ โˆ—)๐‘˜+159๐‘˜=48 ๐‘30๐‘˜ 12 ๐‘ž 30+ ๐‘˜ 12 1 12 = 1(0,00073966) + 1,5(0,00075942) + 2(0,00077835) + 2,5(0,00079175) + 3(0,0080956) ๐ด 30โˆถ5| 1โˆ—(12) = 0,00784355 The results of calculating the actuarial present value of 5 years term life insurance with varying benefits for ages 30 to 75 years are shown in Figure 4. Figure 4. The Actuarial Present Value of the Varying Benefits Term Life Insurance 4,300000 4,350000 4,400000 4,450000 4,500000 4,550000 30 32 34 36 38 40 42 44 46 48 50 52 54 56 58 60 62 64 66 68 70 72 74 V a lu e o f In it ia l A n n u ty Initial Annuity in Man Initial Annuity in Woman 0,0000000 0,1000000 0,2000000 0,3000000 30 32 34 36 38 40 42 44 46 48 50 52 54 56 58 60 62 64 66 68 70 72 74 B e n e fi t V a lu e Age (year) Benefit value for man Benefit value for woman Determination of Term Life Insurance Premiums with Varying Interest Rates Following Cox Ingersoll Ross Model and Varying Benefits Value Dian Puspita 638 Figure 4 shows the value of the varying benefits of term life insurance with various interest rates in the CIR model from ages 30 to 75 years for man and woman. The benefits value for a man aged 30 is 0,0078436, and the benefit value for a woman aged 30 is 0,0058254. The value of benefits for a man aged 31 is 0,0084167, and the value of benefits for a woman aged 31 is 0,0062626. If one unit of benefits value is Rp. 10.000.000 so benefit value for man aged 30 is 0,0078436 ร— Rp. 10.000.000 = Rp 78.436. The results of the varying benefits in term life insurance for men and women increase every year because the older a person is the greater the possibility of someone's death, so the varying benefits obtained will increase yearly. Net Premium Term Life Insurance The monthly net premium value of term life insurance with interest rates in the CIR model and varying benefits using the equivalence principle in equation (12). The results of calculating the monthly net premium for five years term life insurance paid at the beginning of each month for individuals aged 30 years are as follows ๐‘ƒ 30: 5| 1(12) = ๐ดโˆ— 30:5| 1(12) ๏ฟฝฬˆ๏ฟฝ 30โˆถ5| โˆ—(12) = 0,0078436 4,522019 = 0,00173452 The results of calculating the net premium term life insurance with various interest rates in the CIR model for ages 30 to 75 years are shown in Figure 5. Figure 5. The Net Premium Term Life Insurance Figure 5 shows that the value of term life insurance premiums monthly for a man aged 30 is 0,0017345 and for a woman aged 30 is 0,0012879. The premium for a man aged 31 is 0,0018614 and for a woman aged 31 is 0,0013846. The unit of premium value is rupiah, if one unit premium value is Rp. 10.000.000 so premium value for man aged 30 is 0,0017345 ร— Rp. 10.000.000 = Rp 17.345. The value of the premium paid to men and women aged 30 years to 75 years increases every year. Because of the greater chance of someoneโ€™s death so the premium payments will increase. CONSLUSIONS The Cox Ingersoll Ross model simulation can be applied to obtain variable interest rates in the future with parameter values ฮบ=0,5309, ฮธ=0,047218, ฯƒ=0,7679 and an error value in MAPE of 3,9014%, indicating that the estimated CIR model value is very good to describe the actual data. The results of the premiums obtained from varying interest rates in the CIR model show that the older individual is the greater premiums paid with the varying benefits obtained increasing every year. For further research can be suggested to use another stochastic model as a simulation to obtain interest rates that will be used to calculate premiums in whole life insurance or other life insurance. 0,0000000 0,0200000 0,0400000 0,0600000 0,0800000 30 32 34 36 38 40 42 44 46 48 50 52 54 56 58 60 62 64 66 68 70 72 74 P re m iu m v a lu e Ages (year) Man Premium Woman premium Determination of Term Life Insurance Premiums with Varying Interest Rates Following Cox Ingersoll Ross Model and Varying Benefits Value Dian Puspita 639 REFERENCES [1] D. P. Setiawati, F. Agustiani, and R. Marwati, โ€œPenentuan Premi Asuransi Jiwa Berjangka, Asuransi Tabungan Berjangka, Asuransi Dwiguna Berjangka Dengan Program Aplikasinya,โ€ J. EurekaMatika, vol. 7, no. 2, pp. 100โ€“114, 2019. [2] G. Orlando, R. M. Mininni, and M. Bufalo, โ€œInterest rates calibration with a CIR model,โ€ J. Risk Financ., vol. 20, no. 4, pp. 370โ€“387, 2019, doi: 10.1108/JRF-05- 2019-0080. [3] M. A. J. S. Abbasian, โ€œThe Moments for Solution of the Cox-Ingersoll-Ross Interest Rate Model,โ€ J. Financ. Econ., vol. 5, no. 1, pp. 34โ€“37, 2017, doi: 10.12691/jfe-5-1-4. [4] S. N. Singor, L. A. Grzelak, D. D. B. van Bragt, and C. W. Oosterlee, โ€œPricing inflation products with stochastic volatility and stochastic interest rates,โ€ Insur. Math. Econ., vol. 52, no. 2, pp. 286โ€“299, 2013, doi: 10.1016/j.insmatheco.2013.01.003. [5] N.-N. Jia, Y. Li, and D.-H. Wang, โ€œInstallment Joint Life Insurance Actuarial Models with the Stochastic Interest Rate,โ€ Proc. 2014 Int. Conf. Manag. Sci. Manag. Innov., vol. 1, no. Msmi, pp. 231โ€“235, 2014, doi: 10.2991/msmi-14.2014.42. [6] A. Preda and M. Gรฎrbaci, โ€œPremiums calculation for life insurance,โ€ 2012. [7] E. Platen, โ€œNumerical Solution of Stochastic Differential Equations with Jumps in Finance,โ€ 1992. [8] F. S. Budiman, N. Satyahadewi, and N. Mara, โ€œ Estimasi parameter model Cox Ingersoll Ross pada tingkat bunga Bank Indonesia menggunakan metode maximum likelihood estimation,โ€ 2015. [9] S. Artika, โ€œSTATMAT (Jurnal Statistika dan Matematika Penentuan premi asuransi jiwa berjangka 5 tahun menggunakan model Vasicek dan model Cox Ingersoll Ross (CIR),โ€ Mat. FMIPA Unpam, vol. 2, no. 2, pp. 103โ€“114, 2020. [10] I. M. W. Wiguna, K. Jayanegara, and I. N. Widana, โ€œ Perhitungan premi asuransi jiwa joint life dengan model Vasicek dan CIR,โ€ E-Jurnal Mat., vol. 8, no. 3, p. 246, Aug. 2019, doi: 10.24843/mtk.2019.v08.i03.p260. [11] I. Adilla, I. Gusti Putu Purnaba, B. Setiawaty, W. Erliana, and F. Septyanto, โ€œ Premi bersih tahunan asuransi berjangka untuk kasus multiple decrement dengan variansi suku bunga.โ€ [12] E. F. Saphirena, โ€œ Premi tunggal bersih asuransi jiwa berjangka unit link menggunakan metode point to point dengan manfaat bervariasi,โ€ 2022. [13] C. Kelly, G. Lord, and H. Maulana, โ€œJournal of Computational and Applied The role of adaptivity in a numerical method for the Cox โ€“ Ingersoll โ€“ Ross model,โ€ J. Comput. Appl. Math., vol. 410, p. 114208, 2022, doi: 10.1016/j.cam.2022.114208. [14] M. Hefter and A. Herzwurm, โ€œStrong convergence rates for Cox โ€“ Ingersoll โ€“ Ross processes โ€” Full parameter range,โ€ J. Math. Anal. Appl., vol. 459, no. 2, pp. 1079โ€“ 1101, 2018, doi: 10.1016/j.jmaa.2017.10.076. [15] S. Rujivan, โ€œJournal of Computational and Applied A closed-form formula for the conditional moments of the extended CIR process,โ€ J. Comput. Appl. Math., vol. 297, pp. 75โ€“84, 2016, doi: 10.1016/j.cam.2015.11.001. [16] P. C. Chang, Y. W. Wang, and C. H. Liu, โ€œThe development of a weighted evolving fuzzy neural network for PCB sales forecasting,โ€ Expert Syst. Appl., vol. 32, no. 1, pp. 86โ€“96, Jan. 2007, doi: 10.1016/j.eswa.2005.11.021. [17] D. Baรฑos, M. Lagunas-Merino, and S. Ortiz-Latorre, โ€œVariance and interest rate risk in unit-linked insurance policies,โ€ Risks, vol. 8, no. 3, pp. 1โ€“23, 2020, doi: 10.3390/risks8030084. [18] H. Chang and H. Schmeiser, โ€œThe Influence of Stochastic Interest Rates on the Valuation of Premium Payment Options in Participating Life Insurance Contracts,โ€ Determination of Term Life Insurance Premiums with Varying Interest Rates Following Cox Ingersoll Ross Model and Varying Benefits Value Dian Puspita 640 no. 2015, pp. 1โ€“29, 2017. [19] N. Chee-Hock and S. Boon-Hee, โ€œQueueing Modelling Fundamentals With Applications in Communication Networks Second Edition.โ€ [20] Eckert, โ€œDealing with Low Interest Rates in Life Insurance: An Analysis of Additional Reserves in the German Life Insurance Industry,โ€ J. Risk Financ. Manag., vol. 12, no. 3, p. 119, 2019, doi: 10.3390/jrfm12030119. [21] Z. Fu and Z. Li, โ€œStochastic equations of non-negative processes with jumps,โ€ Stoch. Process. their Appl., vol. 120, no. 3, pp. 306โ€“330, 2010, doi: 10.1016/j.spa.2009.11.005. [22] S. Jere, E. R. Offen, and O. Basmanebothe, โ€œOptimal Investment, Consumption and Life Insurance Problem with Stochastic Environments,โ€ J. Math. Res., vol. 14, no. 4, p. 33, 2022, doi: 10.5539/jmr.v14n4p33. [23] A. Mendis, โ€œStudy of Volatility Stochastic Processes in the Context of Solvency Forecasting for Sri Lankan Life Insurers,โ€ Open J. Stat., vol. 11, no. 01, pp. 77โ€“98, 2021, doi: 10.4236/ojs.2021.111004. [24] M. Mery, Y. Limbong, D. Rachmatin, and C. I. Ross, โ€œPenerapan Model Tingkat Suku Bunga Cox Ingersoll Ross ( CIR ) Dalam Penentuan Iuran Application of the Cox Ingersoll Ross ( CIR ) Interest Rate Model to Determine Normal Pension Cost,โ€ vol. 10, no. 2, pp. 139โ€“150, 2022. [25] L. Noviyanti and M. Syamsuddin, โ€œLife Insurance with Stochastic Interest Rates,โ€ J. Stat. dan Mat., no. x, 2006. [26] R. M. Soffan, M. Vasicek, M. Reverting, M. Gompertz, and M. Vasicek, โ€œMenggunakan Model Stokastik,โ€ vol. 5, no. 1, pp. 1โ€“10, 2011.