Bloomberg Enhances Liquidity Assessment For Portfolios
Bloomberg's Liquidity Assessment (LQA) won this year’s Market liquidity risk product of the year and updated its cross-asset, data-driven solution in 2024–25. LQA combines multi-source trade data, machine learning gap-filling, and continuous recalibration to produce comparable liquidity metrics across equities, bonds and other assets. Firms report the tool held up during tariff-driven volatility in early 2025, aiding stress-testing and portfolio decision-making.
Key Points
- 1Delivers cross-asset liquidity metrics using multi-source trade data, machine learning, and continuous recalibration.
- 2Provides validated, comparable measures across equities, corporates, municipals and high-yield aiding regulatory alignment.
- 3Enables integration into pre-trade systems, stress-testing, portfolio construction and enterprise reporting workflows.
Scoring Rationale
Strong cross-asset, data-driven improvements increase practical value for firms; limited novelty compared with existing vendor liquidity-risk solutions.
Sources
Public references used for this report.
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