Topic: Intelligent Annuities: Adaptive Retirement Planning with Deep RL
Speaker: Professor JIN Zhuo, Macquarie Business School, Macquarie University.
Time: December 15, 2025, 14:00
Venue: EMS 229
Abstract:
This talk introduces a deep reinforcement learning framework specifically designed for the annuity market. We present an approach that dynamically optimizes portfolios combining variable annuities and traditional assets by directly learning from interactions with a simulated environment. The model integrates key annuity market uncertainties—like longevity risk and product-specific guarantees—into its decision process. By leveraging neural networks, the algorithm learns adaptive strategies to allocate between annuities and financial assets in response to evolving personal and market conditions. Our results demonstrate that this method provides a robust, data-driven, and personalized strategy for managing retirement income in complex annuity markets.
Speaker Profile:
JIN Zhuo, Professor at the Macquarie Business School, Macquarie University, Australia. His research areas include the application of optimal control theory in actuarial science, mathematical finance, fintech, and the intersection of machine learning and finance. He has published over 60 papers in journals such as Insurance Mathematics and Economics, European Journal of Operational Research, Journal of Risk and Insurance, SIAM Journal on Control and Optimization, and Automatica. He is a member of the Society of Actuaries (SOA).
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