Estimating Future Discretionary Benefits Without Monte Carlo Simulation

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A deterministic framework for estimating future discretionary benefits in life insurance, offering tight bounds without Monte Carlo simulation.
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This article presents a deterministic method for estimating future discretionary benefits in life insurance portfolios by deriving stable upper and lower bounds, avoiding reliance on Monte Carlo simulations while maintaining market consistency.