SOLVE, the provider of fixed income market data, has introduced Confidence Score for Corporate Bonds to its SOLVE Px™ platform. This AI-driven metric quantifies pricing uncertainty on a scale of 1 to 10, providing a transparent layer to predictive pricing for over 250,000 investment-grade and high-yield corporate bonds. The tool translates complex model uncertainty into an intuitive framework, allowing professionals to assess the reliability of predicted prices for Bid, Mid, and Offer valuations.
The metric categorises scores into low, medium, and high confidence levels, which are colour-coded within the SOLVE Quotes Web application for rapid assessment. Higher scores typically reflect bonds with recent trading activity and active quoting, while lower scores indicate less liquid securities. Crucially, the tool covers the entire corporate bond universe, including highly illiquid assets and trades of all sizes, enabling risk management and trading teams to make more defensible, data-backed decisions.
Confidence Score is now integrated across all SOLVE Px delivery methods, including API endpoints, Excel add-ins, and FIX feeds. This launch follows the previous rollout of similar tools for municipal bonds and marks a further step in the company’s expansion of predictive pricing capabilities. By pairing price predictions with measurable uncertainty indicators, the service aims to reduce ambiguity and improve workflow efficiency across the fixed income markets.
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