TrueStandings Securities
TrueStandings Securities provides insurers access to the most comprehensive source of credit risk and prepayment information available, loan-level data detailing the collateral underlying over 4,400 active private-issue mortgage-backed securities that cover over 80% of the outstanding pool balances since 1992. Using this data, insurers can:

• Identify high-risk collateral underlying securities
• Mine, analyze data visually with pivot-tables and graphs
• Create synthetic markets for more accurate benchmarking
• Analyze, evaluate portfolios quickly, drilling down to loan characteristics
• Easily generate complex, automatically-updated analyses and reports
• Work anytime, anywhere using pure web-based technology
• Communicate between databases via the Internet

TrueStandings Servicing
Web-native TrueStandings Servicing gives insurers the power to understand and mitigate the risk of portfolio delinquencies, defaults, and foreclosures online in much less time—and with far greater accuracy—than ever before, even using locally-installed software. Built from the ground up to be the industry’s best-of-breed, TrueStandings Servicing includes a number of new capabilities:

• Expanded report filters
• Extended performance-measure parameters
• Additional product types to cover ARM variations
• Zip code-level access for more granular, localized analysis
• Interactive mapping feature that enables users to plot metrics geographically
• Query-response times that are 10 to 50 times faster than conventional systems

TrueLTV
TrueLTV enables insurers 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

RiskModel
Insurers use LoanPerformance’s RiskModel to profile the performance and project the volatility of collateral underlying loan pools and securities. Drawing on the mortgage industry’s most comprehensive database—over 70 million prime and subprime loans—and employing sophisticated statistical modeling, the RiskModel lets insurers:

• 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
• Project probable-outcome distributions using Monte Carlo simulations
• Benefit from the same forecasting accuracy used by large aggregators

PreTell
The first loan-level prepayment scoring tool, PreTell predicts the probability of a loan prepaying compared to another loan of the same type (Alt-A, subprime, etc.). Built with industry support and validation from leading originators, servicers, traders, investors, and guarantors, PreTell gives insurers unprecedented power to:

• Leverage robust traditional, demographic, performance data
• Quantify near-term prepayment risk embedded in portfolios
• Identify overall likelihood of a loan to pay off
• Predict whether prepayment will be refi or move
• Evaluate portfolio servicing and retention strategies
• Evaluate pricing for production, secondary marketing
• Automate real-time scoring of portfolio risk, retention, valuation

Servicing Scorecard
LoanPerformance’s Servicing Scorecard lets insurers evaluate collateral servicing performance as a component of yield—and calculate the value of loss remediation. The Scorecard’s ability to isolate loss components, loss frequency, and loss severity helps insurers identify likely performance improvements. Servicing Scorecard lets insurers:

• Factor servicing impacts into evaluations
• Compare collections, foreclosures, REO to market
• Define and illustrate serviced-collateral value standards
• Demonstrate average loss, loss frequency, loss severity
• Isolate servicing component of portfolio value
• Monitor loan pool servicing performance over time
• Track effects of servicing improvements