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Whole Loan Trader
Whole loan traders trust LoanPerformance database-driven modeling and analytic products to determine current and future performance of the collateral embedded in loan pools. Drawing on data repositories unmatched in the industry, these tools enable traders to package or securitize loans based on objective, authoritative information.
For more information about individual LoanPerformance products, please visit Our Products and Business Value.

TrueStandings Securities provides whole loan traders access to the most comprehensive source of credit risk and prepayment information available anywhere—loan-level data detailing collateral underlying over 4,400 active private-issue mortgage-backed securities (over 80% of the outstanding pool balances since 1992). Using this data, traders can:
- Analyze, evaluate portfolios quickly, drilling down to loan characteristics
- Determine portfolio delinquency, prepayment, default relative to the market
- Identify collateral characteristics that support packaging, securitization
- Work anytime, anywhere using pure web-based technology
- Mine, analyze data visually with pivot-tables and graphs
- Use detailed collateral analysis to fine-tune bids
- Evaluate pricing impact of various risks
Identify yourself (name, company, email only) on the accompanying form and download a PDF of the TrueStandings Securities product brochure (3.4MB).
 

TrueLTV enables whole loan traders to identify, evaluate, and monitor the impact of HELOCs and other second-mortgage liens on active first-mortgage pools and portfolios. Starting with user-supplied first mortgage files, TrueLTV searches LoanPerformance and First American databases and appends any additional liens, including dates and amounts. Graham-Leach-Bliley-compliant, TrueLTV identifies all types of second liens:
- Silent seconds (seller-financed seconds)
- Piggyback seconds (simultaneous originator-provided seconds)
- Up-sell or cross-sell seconds (subsequent originator-provided seconds)
- Borrower-initiated seconds
Identify yourself (name, company, email only) on the accompanying form and download a PDF of the TrueLTV product brochure (139KB).
 

Whole loan traders achieve better results when they use the LoanPerformance RiskModel to support decisions either to securitize or sell loans directly to investors. Drawing on the industry’s most comprehensive mortgage database—over 70 prime and subprime million loans—and using advanced statistical modeling, the RiskModel allows traders to:
- Rank level and range of risk on whole loans, securities
- Forecast loan pool prepayments, delinquencies, defaults
- Project impact of interest rate volatility, housing market declines
- Create stress scenarios to test package performance under duress
- Avoid future write-downs from unexpected prepayments and losses
- Benefit from the same forecasting accuracy used by largest aggregators
- Use Monte Carlo simulation methodology to project probability distributions
Identify yourself (name, company, email only) on the accompanying form and download PDFs of the RiskModel product brochure (172KB).
 

LoanPerformance’s Servicing Scorecard lets whole loan traders benchmark servicing performance against the market and evaluate its impact on potential investor yield. The Scorecard’s “third-party” objectivity helps traders identify high-performing servicers—while providing persuasive evidence of actual value. Servicing Scorecard enables traders to:
- Factor servicing impacts into sales
- Compare collections, foreclosures, REO to market
- Illustrate serviced-collateral value standards to buyers
- Demonstrate average loss, loss frequency, loss severity
- Track loan pool servicing performance over time
- Isolate servicing component of portfolio yield
- Document servicing decisions
Identify yourself (name, company, email only) on the accompanying form and download a PDF of the Servicing ScoreCard product brochure (3.4MB).
To learn more about LoanPerformance products for whole loan traders, please send us an email or give us a call at the appropriate number for your geographic area.
 
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