Regression methods for pricing complex American-style options
IEEE Transactions on Neural Networks
Fast simulation of equity-linked life insurance contracts with a surrender option
Proceedings of the 40th Conference on Winter Simulation
Mathematics and Computers in Simulation
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In this paper we describe an algorithm based on the Least Squares Monte Carlo method to price life insurance contracts embedding American options. We focus on equity-linked contracts with surrender options and terminal guarantees on benefits payable upon death, survival and surrender. The framework allows for randomness in mortality as well as stochastic volatility and jumps in financial risk factors. We provide numerical experiments demonstrating the performance of the algorithm in the context of multiple risk factors and exercise dates.