The syndicated loan market is a cornerstone of leveraged finance, but pricing transparency remains limited. Quotes are scattered across dealer runs, trading is often negotiated off-screen, and levels can vary by source. Without a consolidated view, investors and lenders struggle to assess liquidity and relative value.
SOLVE brings clarity. By parsing dealer messages and aggregating loan pricing across desks, SOLVE provides the largest real-time dataset of syndicated loan quotes, enabling market participants to monitor activity, price loans, and compare levels with confidence.
Syndicated Loans
Comprehensive coverage across issuers, ratings, and sectors.
Daily Securities Quoted
Breadth of observable market activity each day.
Daily Quotes
The industry’s largest real-time syndicated loan dataset.
Regional Breadth
Coverage across North America, EMEA, and Emerging Markets.
Historical Archive
Long-term dataset for back-testing, trend analysis, and performance review.
Gain pre-trade transparency across thousands of syndicated loans. SOLVE aggregates and normalizes quotes from major dealers, loan desks, and agents, providing unmatched visibility into bid/ask spreads, liquidity conditions, and relative value across leveraged loan markets. Used daily by traders, analysts, and portfolio managers to benchmark levels and validate pricing with confidence.
Monitor and analyze syndicated loan portfolios with integrated data and analytics. SOLVE Workstation enables peer benchmarking, trend analysis, and spread monitoring across the loan and private credit universe. Track sector exposures, compare valuation movements, and monitor market depth through SOLVE’s structured banking data coverage.
Easily integrate SOLVE’s loan data and analytics into your internal systems. Through the SOLVE Developer Portal, access API, Excel Add-In, FIX, or FTP delivery options to connect SOLVE data directly to your OMS/EMS, valuation, and compliance workflows.
This seamless integration streamlines pricing validation, mark-to-market automation, and reporting efficiency.