Abstract
Reserve calculation is crucial for insurance companies. Due to the long-term nature of life insurance products, stochastic interest rate models are more suitable when calcu-lating the premium and reserve of a life insurance product. In this article, we use several popular mean-reverting stochastic interest rate models to study the impact of the model and its parameters on the values of reserves for life insurance products. We employ linear regression, moment estimation, and error optimization methods to calibrate the Vasicek, Cox-Ingersoll-Ross (CIR), CIR#, and Chen models. Our analysis reveals that when ap-plying mean-reverting stochastic interest rate models to a whole life insurance policy, the initial interest rate and the long-term mean have a significant influence on the net reserve value. However, the speed of reversion and volatility only marginally impact the net re-serve. Additionally, we observe that the numerical result of the net reserve is sensitive to the time period of the interest rate data and the term structures of the yield rates used in the analysis.
Original language | English |
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Number of pages | 24 |
Journal | Asia-Pacific Journal of Risk and Insurance |
Publication status | Accepted/In press - 6 Jan 2025 |
Keywords
- Reserve, life insurance,
- Stochastic Interest Rate Models