OVERVIEW

Markets move fast, and fixed income professionals need to know whether bonds are priced fairly — or if opportunities exist. Yet evaluating richness or cheapness across thousands of securities is difficult without reliable data and flexible analytics.

SOLVE Relative Value Analysis changes that. Powered by SOLVE Quotes™ and SOLVE Px™, it provides dynamic analytics that show how a bond’s predicted trade price, yield, and spread evolve over time. By filtering, comparing, and visualizing movements relative to historical averages, market participants can quickly spot opportunities, validate decisions, and enhance conversations with clients.

Trader intuition has always been central to the market. SOLVE strengthens it — turning instinct into evidence — by showing where bonds are trading out of line with peers, sectors, or the broader muni and corporate markets. Instead of sifting through spreadsheets or dealer runs, traders and PMs can zero in on actionable opportunities and back up their levels with Px-driven evidence in every RFQ or portfolio move.

SOLVE Relative Value Analysis Fact Sheet

SOLVE Relative Value Analysis shows when bonds trade rich or cheap — and why.

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Markets Covered

Municipal Bonds

1.1M+ securities | 490,000+ predictive prices daily

Corporate Bonds

250,000+ securities | 250,000+ predictive prices daily

Benefits

  • See What Others Miss

    Identify bonds trading rich or cheap in real time with SOLVE’s Relative Value Analysis solution — turning massive datasets into clear, actionable insights.

  • Strengthen Investment Decisions

    Pinpoint yield, spread, and liquidity differentials to improve entry and exit timing, manage risk, and capture relative performance across portfolios.

  • Gain Confidence in Every Comparison

    Defensible, data-driven metrics provide confidence when validating trades, setting marks, or communicating with clients and compliance teams.

  • Enhance Efficiency and Focus

    Eliminate manual spreadsheet work by automatically surfacing trade opportunities and valuation outliers within SOLVE Px™ and SOLVE Quotes

  • Track Relative Value Over Time

    Monitor how securities move versus peers, sectors, or benchmarks through time-series analysis that highlights shifting relationships and trend deviations.

Use Cases

  • Relative Value Trades

    Identify securities trading cheap vs. rich and capture the spread.

  • Portfolio Rotation

    Swap out overpriced holdings for cheaper comparables to boost returns.

  • New Issue Validation

    Benchmark primary deals against secondary Px levels.

  • Cross-Market Views

    Compare municipals and corporates side by side for broader positioning.

Features

  • Cross-Market Comparison Engine

    Evaluates bonds across sectors, issuers, ratings, and vintages to reveal rich/cheap outliers in seconds.

  • Integrated Predictive Pricing

    Combines SOLVE Px™ data with observed quotes to ensure fair value inputs reflect current market conditions.

  • Dynamic Filtering and Visualization

    Interactive tools allow users to drill down by sector, coupon, call type, or maturity to identify precise relative value opportunities.

  • Real-Time Updating

    Continuously refreshes as new predictive prices and quotes are parsed from market messages — ensuring analysis reflects the latest liquidity.

  • Exportable Analytics

    Easily export relative value data for presentation, audit, or integration into internal portfolio systems.

Integration Partners

Clarity Powered Through
Millions of Data Points

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SOLVE Relative Value Analysis