Liquidity risk analytics with clarity and confidence
Unify portfolio holdings, cash flows, and liquidity classifications, assess asset and fund-level liquidity under normal and stressed conditions, run redemption stress scenarios, and support AIFMD, UCITS, and internal liquidity risk reporting.
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Why the buy-side chooses Opensee for liquidity risk analytics
Key capabilities of Opensee for liquidity risk analytics
Single liquidity data hub for the buy-side
Ingest and centralize portfolio holdings, cash positions, investor subscriptions/redemptions, and asset liquidity classifications across all funds and strategies. Aggregate and analyze liquidity exposures by fund, strategy, asset class, geography, or liquidity bucket, with full drill-down to individual positions and projected cash flows.
Portfolio holdings and cash positions across all funds
Asset liquidity classifications
Coverage of listed and less liquid assets
Multi-fund, multi-currency aggregation with versioning and audit trails
Transparent asset liquidity and fund-level liquidity calculations
Calculate, monitor, and explain key fund liquidity metrics used for internal risk management and regulatory reporting. Opensee provides transparency from reported indicators down to underlying assets, assumptions, and market data—supporting governance, oversight, and investor communication.
Liquidity bucket analysis and asset concentration metrics
Time-to-liquidate and liquidity coverage indicators
Cash flow projections and funding profiles at fund level
Drill-down from fund metrics to individual assets and positions
Liquidity stress testing across redemption scenarios
Define and run regulatory and internal liquidity stress scenarios—investor redemption shocks, market liquidity deterioration, or asset-specific events—and assess their impact on fund liquidity, portfolio composition, and ability to meet redemptions across funds and strategies without forced asset sales at distressed prices.
Redemption stress scenarios by fund or investor type
Market liquidity deterioration and asset haircut assumptions
Asset liquidation sequencing and time-to-cash analysis
Scenario comparison with full drill-down to affected positions
AI-enhanced liquidity data quality and monitoring controls
Combine rule-based controls and statistical analysis to identify data quality issues and abnormal movements in liquidity metrics. Visual indicators and alerts allow PMs and risk teams to investigate anomalies, validate asset liquidity assessments, and monitor changes before they impact investor reporting or regulatory disclosures.
Automated completeness, consistency, and business checks on holdings and liquidity data
Statistical detection of outliers in asset liquidity, redemptions, and fund-level metrics
Controlled workflows for investigation, adjustment, and sign-off
Visual alerts for significant changes in liquidity profiles, redemption capacity, and cash positions
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