Validate marks. Defend decisions. Deliver transparency with confidence.
Valuation and pricing teams face constant pressure: deliver timely marks, defend methodologies, and satisfy auditors and regulators — all while working with incomplete or inconsistent data. Quotes are fragmented across dealers, trades are scarce, and models drift without reliable calibration.
SOLVE changes that. By parsing 24M+ daily quotes through SOLVE Quotes and combining them with predictive trade pricing from SOLVE Px™, SOLVE equips valuation professionals with defensible, transparent data to validate marks, benchmark vendors, and streamline audit processes.
Dealer runs, quotes, and trades scattered across sources.
Pricing models diverge from market reality without calibration.
Auditors, regulators, and boards demand hard evidence for marks.
Validation and reconciliations consume valuable time.
Access structured market color, trade data, and predictive pricing models in one system—reducing reliance on disparate data sources. Gain clarity across bonds, loans, and structured products through a unified view of current and historical prices.
Benchmark vendor marks and internal valuations against SOLVE Px™ predictive trade pricing and SOLVE Quotes composite data. Identify and resolve discrepancies with data-driven precision and defensible transparency.
Support fair value documentation and model validation workflows with full traceability. Easily surface underlying data, quote sources, and model confidence scores for every evaluated price.
Automate manual processes with API integrations, Excel Add-Ins, and FTP delivery—reducing turnaround time for pricing reviews and regulatory reporting.
Quotes parsed daily through SOLVE Quotes
Corporate bonds with predictive trade pricing
Municipal bonds priced and tracked daily through SOLVE Px | Municipal Bonds and SOLVE Secondary Market Pricing
Model features used in SOLVE Px predictive pricing calculations
Mean Absolute Error achieved by SOLVE Px’s predictive pricing models across major asset classes
Of historical market data across fixed income asset classes
Compare vendor marks to market-derived prices and predictive fair values to ensure consistency and compliance.
Use predictive pricing and observed quotes to fine-tune valuation models across illiquid asset classes.
Provide full transparency into pricing inputs and methodologies, strengthening audit trails and defensibility.
Dealers leverage SOLVE Quotes to evidence price levels during internal reviews or when challenged by clients, improving defensibility and reducing disputes.
Across buy-side, sell-side, and service providers, SOLVE Px outputs and the SOLVE Relative Value Analysis solution bring consistency to marks across large, diverse portfolios.
With 10+ years of history across fixed income, valuation teams backtest assumptions, track spread shifts, and analyze historical liquidity to strengthen pricing frameworks.
Pre-trade transparency from 24M+ daily quotes across bonds, loans, and structured products.
Used by valuation teams to benchmark prices, validate vendor marks, and source observable market color for compliance documentation.
Predictive trade pricing for 250,000+ corporate bonds using SOLVE’s proprietary AI models and 300+ market features. Provides continuously updated fair value estimates with confidence scoring and explainable AI—supporting audit-ready validation and price reasonableness testing.
Predictive pricing for 900,000+ municipal bonds, with mean absolute error (MAE) under 3 bps and accuracy 34% higher than traditional methods.
Delivers observable and model-derived prices at the CUSIP level, enabling fair value analysis and validation in thinly traded or illiquid muni names.
Portfolio-level transparency and monitoring for public and private credit exposures.
Enables valuation teams to centralize benchmarks, access issuer-level analytics, and track market movements across corporate and municipal holdings.