Estimating Future Discretionary Benefits Without Monte Carlo Simulation

This story was originally published on HackerNoon at: https://hackernoon.com/estimating-future-discretionary-benefits-without-monte-carlo-simulation. A deterministic framework for estimating future discretionary benefits in life insurance, offering tight bounds without Monte Carlo simulation. Check more stories related to finance at: https://hackernoon.com/c/finance. You can also check exclusive content about #insurance-regulation, #market-consistent-valuation, #solvency-ii, #actuarial-modeling, #mean-field-libor-market-model, #asset-liability-management, #monte-carlo-valuation, #financial-risk-modeling, and more. This story was written by: @solvency. Learn more about this writer by checking @solvency's about page, and for more stories, please visit hackernoon.com. 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.