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Datatricx AI conducts asset allocation and portfolio policy studies for institutional asset owners where capital is allocated across asset classes, risk is budgeted, and liabilities or spending commitments must be met over time.
- Work in this pathway supports investment committees and boards responsible for setting strategic asset allocation (SAA), reviewing asset-liability alignment, and defining risk tolerances under uncertainty.
- Analysis is designed to show how different allocation choices behave across scenarios, rather than optimising for a single expected outcome.
- Outputs are structured for governance: assumptions are explicit, sensitivities are visible, and trade-offs between return objectives, drawdowns, liquidity, and funding risk are clearly documented.
Decisions Supported
- Policy portfolio design and revision
- Risk budget allocation and concentration limits
- Funding and liquidity planning
- Stress response and escalation frameworks
Core Analytical Components
- Strategic Asset Allocation (SAA)
- Asset–Liability Management (ALM)
- Risk Budgeting and Policy Controls
