Research question
How should a retirement allocation policy adapt when wealth, longevity, annuity adequacy, and health states evolve together?
Context
The original prototype framed retirement allocation as a multi-period stochastic decision problem rather than a one-time portfolio choice.
Method
The recorded method uses Monte Carlo market paths, stochastic mortality assumptions, and dynamic allocation logic subject to wealth-balance and annuity-adequacy constraints. The extended direction considers HJB-style reasoning, semi-Markov health states, jump-diffusion dynamics, Bayesian mortality, and China-specific calibration.
Validation
Useful validation varies market paths and mortality assumptions, checks policy stability, and separates model mechanics from calibration choices.
Current result
The supported artifact is a working research prototype and an extension programme. No universal policy or household-level recommendation is asserted.
Limitations
Long-horizon decisions are highly sensitive to returns, inflation, longevity, health transitions, utility assumptions, and institutional context.
Public artifact
The page exposes the decision structure and modelling questions only; it does not publish personal financial advice.
Next question
Which policy conclusions remain stable under alternative mortality, health-transition, and market-regime assumptions?