P&L and performance attribution with precision
Centralize your data to explain every P&L shift with precision. Link performance, risk, and peer analytics across any portfolio or strategy to get transparent, historical insights for flawless investor reporting and smarter decision-making.
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Why asset managers and hedge funds chooses Opensee for P&L & performance
Key capabilities of Opensee for P&L and performance
Single repository for P&L, factor exposures, and portfolio positions
Centralize detailed P&L vectors, factor exposures, position data, and NAV components from PM systems, risk platforms, and pricing engines. Data is stored with full versioning and audit trails, allowing to reconstruct historical performance and aggregate consistently across funds, strategies, and asset classes for investor reporting.
Ingest P&L, factor exposures, and positions from OMS/PMS and risk systems
Versioned, auditable data store with full performance history
Multi-dimensional aggregation (fund, strategy, PM, sector, asset class, factor)
Full historical retention for long-horizon performance analysis and backtesting
Instant performance attribution by fund, strategy, sector, or factor
Interactively attribute P&L and performance across any dimension with instant recalculation. Get straightforward aggregations and complex factor-based attribution tied to market moves, enabling seamless transition from fund-level returns to individual position contributions for investor transparency.
Attribute P&L by fund, strategy, PM, sector, geography, or asset class
Drill-down from fund performance to individual position contributions
Factor-based attribution
Benchmark comparison and peer analysis with transparent attribution logic
Connect P&L with risk metrics and factor models
Link P&L vectors with VaR, factor risk models, and risk metrics over unlimited history, enabling systematic performance vs. risk analysis and risk-adjusted return optimization. Compare risk forecasts to realized performance, investigate outliers, and understand where models over- or under-estimated portfolio risk for better investment decisions.
Link P&L vectors to VaR, factor exposures, and risk metrics at position and fund level
Performance vs. risk analysis across multiple years of history
Risk-adjusted return metrics (Sharpe, Sortino, Information Ratio) with drill-down
Support for both regulatory and internal performance/risk diagnostics
AI-assisted performance driver analysis and anomaly detection
Agensee provides AI-assisted driver analysis that highlights key contributors to P&L and performance changes, suggesting relevant drill-downs for PMs and analysts. Built-in anomaly detection spots unusual patterns in P&L vectors, factor exposures, or NAV components—reducing noise, improving data quality, and accelerating explanations.
AI suggestions for funds, strategies, or factors to investigate
Smart drill-down paths to explain large performance movements or deviations
Anomaly detection in P&L vectors, factor exposures, and pricing feeds
Fully auditable adjustments and certifications
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