Paper: arXiv 2605.12698
Authors: Jennifer Alonso-Garcia, Caroline Hillairet, Sarah Kaakai, Mohamed Mrad
Abstract
This paper investigates optimal investment and pension policies in a Pay-As-You-Go (PAYG) system supplemented by a buffer fund used as an intergenerational risk-sharing mechanism. The social planner’s preference criterion is represented by non-zero volatility forward Constant Relative Risk Aversion (CRRA) utilities, and explicitly accounts for both sustainability and adequacy constraints. The optimal policies are characterized in closed form, and an in-depth analysis of the impact of preference sensitivities on the pension scheme is conducted. A detailed numerical analysis is performed to evaluate the sustainability and benefit adequacy of this hybrid PAYG buffer fund arrangement under a range of demographic, financial, and macroeconomic scenarios.
Complexity vs Empirical Score
- Math Complexity: 8.5/10
- Empirical Rigor: 4.0/10
- Quadrant: Lab Rats — theoretically deep, empirically untested
Why this score: The paper relies heavily on advanced continuous-time stochastic control and forward performance processes to derive closed-form optimal investment policies. While it provides detailed numerical scenario analysis, it lacks deep empirical validation against historical datasets, placing it firmly in the theoretical/analytical domain.
Research Flowchart
flowchart TD
A[Research Goal: Optimize PAYG pension & buffer fund policy under aging demographics] --> B[Model Inputs: Demographic, financial & macroeconomic scenarios]
B --> C[Methodology: Non-zero volatility forward CRRA utilities & Stochastic Control]
C --> D[Computational Process: Derive closed-form solutions with sustainability & adequacy constraints]
D --> E[Numerical Analysis: Evaluate hybrid PAYG buffer fund under various scenarios]
E --> F[Outcomes: Optimal investment policies & proof of improved intergenerational risk-sharing]
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1 of 45 cited works are in the corpus; resolved via arXiv source bundles, Semantic Scholar and OpenAlex. Corpus-wide: 2518 linked papers.