Multi-Agent AI as a Nested Principal-Agent Problem in Private Wealth Management: Mandate Representation and Evidence Control in Switzerland, Germany and Austria
By Walter Kurz, Reinhard Magg, Florian Kollberg, Wojtek Stricker, Stefan Marx, Frank Reinhardt, Velimir Dedić
Rating
1406
Battle Count: 50
Relevance
3/10
While focused on wealth management advisory and suitability rather than high-frequency trading, the framework for handling mandate constraints, risk limits, and multi-agent delegation is relevant for institutional portfolio management and automated advisory systems.
Implementation Complexity
8/10
High complexity due to the need for precise mandate representation, evidence tracking, versioned approval controls, and integration with legal constraints. Requires significant engineering to enforce the 'admissibility before optimisation' logic.
Reproducibility
2/5
The authors retain source code, constructed mandates, and experimental configurations, but access is restricted. Market inputs include source URLs and hashes, but the specific constructed scenarios and internal logic are not fully open.
About this paper
Methodology: Nested Principal-Agent Formulation with Constrained Joint Maximisation. Problem types: Portfolio Optimization, Risk Management, Multi-task Learning, Optimization.
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