MAE Is Just the Start: A Smarter Way to Evaluate Predictive Pricing
As predictive pricing through AI continues to proliferate, more industry participants are raising the right question: how do you measure various models’ accuracy?
As predictive pricing through AI continues to proliferate, more industry participants are raising the right question: how do you measure various models’ accuracy?
Across the market, one thing is clear: fixed income is changing fast, and pricing accuracy is becoming more essential than ever.
In this TabbFORUM Market Structure Wave interview, Eugene Grinberg, CEO of SOLVE, joins Bruce Morris to discuss how technology is transforming fixed income trading
Amid a backdrop of elevated interest rates and macroeconomic uncertainty, fixed-income structured products have emerged as a cornerstone of institutional and retail portfolios. CLOs, ABS, CMBS, and RMBS are delivering robust issuance volumes, attractive yields, and defensive characteristics in 2025.
Understanding dealer inventory in the CLO market is increasingly essential for fixed income professionals looking to enhance secondary trading strategies, improve pricing decisions, and evaluate liquidity.
BWIC data (or Bids Wanted in Competition data) plays a central role in how fixed income traders price and source illiquid securities.
Explore how SOLVE’s predictive AI model delivers real-time bond pricing, adapts to volatility, and unlocks new alpha opportunities in the muni market.
Private credit, and how public BDC data is evolving from a regulatory requirement into a valuable source of real-time insight that’s helping credit professionals make faster, smarter decisions.
Discover how SOLVE is bringing AI and real-time data transparency to the municipal bond market, reshaping fixed income pricing and decision-making.
SOLVE CEO Eugene Grinberg recently spoke with Mike O’Hara of A-Team Insight about the newest enhancement to SOLVE’s municipal bond pricing tool.