Regression-based algorithms for life insurance contracts with surrender guarantees
提出了一个通用框架来定价含退保选择权的人寿保险合同，模型考虑死亡率、利率等风险，并比较了两种基于最小二乘蒙特卡洛方法的数值方案。
We present a general framework for pricing life insurance contracts embedding a surrender option. The model allows for several sources of risk, such as uncertainty in mortality, interest rates and other financial factors. We describe and compare two numerical schemes based on the Least Squares Monte Carlo method, emphasizing underlying modeling assumptions and computational issues.