Daily CLO tranche valuations
For institutional workflows
API
SCI’s L3 Valuations service provides customers with daily pricing and valuation data across approximately 25,000 CLO tranches, designed for integration into institutional risk, valuation and surveillance systems.
The dataset provides a consistent daily valuation time series for CLO debt and equity tranches across the global market, enabling systematic portfolio monitoring, risk oversight and quantitative analysis.
CLO tranche pricing data is available through Excel or via the SCI Enterprise Data API, allowing institutions to integrate valuations directly into internal dashboards, models and analytics workflows.
~25,000 CLO debt and equity tranches
Global CLO market coverage
Price, DM, WAL, manager and tranche attributes
Daily valuation updates
Historical valuation time series
Deal and tranche-level identifiers
Portfolio Valuation
Monitoring
Track daily valuation movements across CLO portfolios and monitor changes in tranche pricing over time.
Performance
Analysis
Analyse valuation trends across managers, vintages and tranche structures.
Risk
Surveillance
Integrate tranche-level valuation data into internal risk dashboards and exposure monitoring systems.
Research and
Quantitative Analysis
Use historical valuation time series to support modelling, research and strategy development.
Why CLO Tranche Valuations Matter
CLO markets generate significant secondary trading activity, but pricing transparency across the full tranche universe can be fragmented. A structured valuation dataset provides:
Integration via enterprise data API
CLO tranche pricing data is available through the SCI Enterprise Data API, allowing institutions to integrate the dataset directly into internal systems. Typical integrations include:
Enterprise licensing
The CLO tranche pricing dataset is licensed under enterprise data agreements. Enterprise licences allow:
across authorised teams
models, dashboards and
reporting workflows
for programmatic data
delivery
APPROXIMATE COVERAGE INCLUDES:
contact the SCI data team.
