- Monte Carlo Risk Simulation
- Generates millions of scenarios using historical data and economic factors to model portfolio outcomes → Distribution of potential returns, tail risk probabilities, confidence intervals
- Multi-Factor Risk Model
- Decomposes portfolio risk by market, sector, style, and idiosyncratic factors across asset classes → Risk contribution analysis, factor exposures, diversification effectiveness
- Stress & Scenario Testing
- Tests portfolio resilience under macroeconomic shocks, geopolitical events, and market disruptions → Drawdown analysis, liquidity gaps, capital adequacy under stress
- Performance Attribution Modeling
- Brinson-Fachler methodology extended across managers, strategies, and asset classes → Alpha sources, timing effects, selection skill measurement
- ESG Integration Framework
- Incorporates environmental, social, governance factors into risk-return optimization → ESG-adjusted Sharpe ratio, sustainability risk-adjusted returns
- Custom Benchmark Construction
- Creates investable benchmarks matching liability profiles, constraints, and objectives → Tracking error minimization, information ratio optimization
- Multi-Manager Oversight Framework
- Aggregates performance, risk, and exposures across internal/external investment managers → Manager alpha consistency, style drift detection, total program risk