Vector Securities offers ad hoc loan-level analytical power to optimize portfolio performance, develop verifiable decisioning, and generate reporting on the go. Its sophisticated, easy-to-grasp web interface provides immediate access to the industry’s largest non-agency RMBS data repository, with 12,000+ securitized mortgage pools and updated collateral property valuations.
Using Vector Securities, analysts and decision-makers can:
These capabilities derive from Vector Securities’ rich data assets, including:
RiskModel statistical models and stochastic methods assess portfolio- and loan- level risks at all stages of the mortgage lifecycle, both for the short-term and the life of the loan or bond. By combining rich data with advanced analytics and proprietary modeling, RiskModel anticipates:
The latest version of RiskModel has been significantly enhanced to understand the default and prepayment risk of higher-quality loans, including Agency mortgages that make up the majority of post-2007 originations. Drawing on recent-vintage performance data from Loan-Level Market Analytics, RiskModel can now deliver insights into current production that securities-only-based models can’t.
RiskModel is also the only commercially available modeling tool that integrates CoreLogic HPI™ data, enabling more than 80% of loans in the development dataset to be modeled at the ZIP-code level. RiskModel additionally includes an innovative, proprietary Refinance Qualification Index that assesses the likelihood of a borrower qualifying for refinancing—thus helping predict prepayment sensitivities with greater accuracy than before.
Many in the industry are moving away from high-level portfolio risk summaries to precise, loan-level portfolio analytics. Previously dismissed as too cumbersome and time-consuming, loan-level analytics have come into their own as advances in data and technology coalesce to make them as fast and cost-effective as portfolio-level summaries—and far more accurate.
Loan-Level Market Analytics is built on contributed servicing data and includes property, multiple listing, anonymized borrower, and mortgage data—with focused analytics that provide the insights you need to make trustworthy assessments of portfolio risk. Its inclusion of both agency and non-agency mortgage data gives lenders, servicers, investors, and advisory firms comprehensive intelligence to ensure that benchmarking and modeling are consistent, dynamic, and accurate.
Loan-Level Market Analytics empowers a new approach to portfolio risk management—one based on the idea that risk managers get faster, better results when they start with the information they need than when they must first manipulate mountains of raw data to create the information themselves.
TrueStandings Servicing and TrueStandings HomeEquity revolutionized mortgage portfolio risk management by enabling portfolio managers to evaluate entire portfolios online, benchmark them against the market and specific lenders, and determine their level of risk—faster and with greater accuracy than ever before. By providing users instant access to CoreLogic prime, subprime, and home equity databases—continuously refreshed with contributed data from the nation’s largest lenders—TrueStandings online platforms provide ultimate flexibility, speed, and processing power.
Both TrueStandings Servicing and HomeEquity provide simple-to-use tools enabling online users to modify and extend their diagnostic capabilities:
An advanced analytics tool, the HPI Valuation Engine facilitates estimating market values for single or multiple properties using data from the CoreLogic Housing Price Index.
Although the HPI Valuation Engine has a 100% hit rate, it requires only three property-level inputs—ZIP code, prior sales date, sales amount—to trigger a proprietary intelligent-cascade mechanism that generates a market value. This cascade selects the property’s ideal tier and geographic combination, maximizing the probability its estimated value will be within 10% of actual value.
HPI Valuation Engine results include a confidence score, an assessment of the accuracy of the estimate that quantifies the level of confidence in it. This allows clients to identify property values rapidly while prioritizing their levels of risk according to market exposure.
Vector Portfolios is a configurable, intelligent, secure risk management platform that allows real estate, mortgage, and securities professionals to automate risk policies, shorten processing times, and reduce costs. Its best-of-breed approach offers a stable, trustworthy decisioning infrastructure with highly configurable components and applications.
Through its web-based interface, Vector Portfolios provides users real-time self-management of rules, administrative functions, and applications. This self-service allows them to change rules themselves without calling IT departments or platform
providers—routine risk management rule modifications are quick and easy, with an audit trail to substantiate compliance.
With Vector Portfolios, users can automatically assess risk, determine valuations, analyze payoffs, check compliance with mortgage underwriting rules, detect fraud, and verify loan quality—often in seconds.
RiskModel statistical models and stochastic methods assess portfolio- and loan- level risks at all stages of the mortgage lifecycle, both for the short-term and the life of the loan or bond. By combining rich data with advanced analytics and proprietary modeling, RiskModel can anticipate:
The latest version of RiskModel has been significantly enhanced to make it easy to understand the default and prepayment risk of higher-quality loans that make up the majority of post-2007 residential mortgage originations. Drawing on recent-vintage performance data from Loan-Level Market Analytics, RiskModel can now deliver insights into current production that securities-only-based models can’t.
RiskModel is also the only commercially available modeling tool that integrates CoreLogic HPI data, enabling more than 80% of loans in the development dataset to be modeled at the ZIP-code level. RiskModel additionally includes an innovative, proprietary Refinance Qualification Index that assesses the likelihood of a borrower qualifying for refinancing—thus helping to predict prepayment sensitivity with great accuracy.
TrueLTV evaluates the complete impact of HELOCs and other liens against properties, mortgage pools, and portfolios. It first uncovers all liens, even hidden ones—silents, piggybacks, borrower-initiated liens—then assesses their likely effect on future loan performance by:
TrueLTV subjects pool and portfolio loans with open liens or other performance challenges to dynamic LTV profiling using market-adjusted AVM and default AVM technologies. It then consolidates the loan-level findings to provide a quick summary of overall aggregated value with easy drill-down access to the underlying data detail.
TrueLTV draws on industry-leading CoreLogic mortgage, property, and collateral fraud databases to assemble unprecedented levels of detail—helping originators, servicers, secondary marketers, issuers, investors, and insurers spot and evaluate shadowy second liens and other value-affecting items and update their mortgage files to reflect actual values.
Vector Securities offers ad hoc loan-level analytical power to optimize portfolio performance, develop verifiable decisioning, and reporting on the go. Its sophisticated, easy-to-grasp web interface provides immediate access to the industry’s largest non-agency RMBS data repository, with 12,000+ securitized mortgage pools and updated collateral property valuations.
Our Advisory Services experts can help you explore SFR-to-Rental investment opportunities by analyzing SFR asset portfolios to determine current and future property values, potential average rents, local capitalization rates and market trends, and likely future cash flows projections. Our assessments focus on three broad categories:
During the initial stage of the whole loan bid process, prospective purchasers must submit bids based on limited seller-provided data. This data typically includes current payment status, origination information, and a few loan characteristics—but not property addresses. Having no physical addresses significantly limits buyers’ ability to determine viable bid prices.
Our new automated Bid Tape Processing for Whole Loans service matches anonymized pre-bid loan data to our property record databases and supplements the original data with up to 60 additional data points. Some examples of the appended data:
Bid Tape Processing for Whole Loans supplements pre-bid portfolio information with the kind of additional loan-level due diligence that can accurately predict its real long-term value. As such, it is part of our Whole Loan Due Diligence solution (see “Due Diligence Solutions for Capital Markets” for a description).
Our securities experts augment your whole loan files with dynamic public record and proprietary data, current property valuations, and fact-based stochastic predictive modeling. These additional data points help identify and gauge the extent of loan-level risks to whole loan investments.
We replace ambiguous risk estimates with detailed, dynamic, verifiable pool- and loan-level evaluations. Augmenting your whole loan files with public record and proprietary data, current property valuations, and stochastic predictive modeling results, we pinpoint the impact of loan-level risks—credit, collateral, compliance, buyback—on your planned investment returns.
Using categories and processes customized to support your products and transactions, our Whole Loan Trading experts aggregate your portfolio’s credit, compliance, collateral, and fraud risks at the granular level, reporting detailed results and decision-making guidance.
Distressed Whole Loans
Many whole loan investors now specialize in distressed properties, non-performing loans, and residential REOs. Success here requires the same kind of granular portfolio insights our experts reliably produce—helping you understand the added underlying distressed life-of-loan risks.
Through its web-based interface, Vector Portfolios provides users real-time self-management of rules, administrative functions, and applications. This self-service allows them to change the rules themselves without calling IT departments or platform
providers—routine risk management rule modifications are quick and easy, with an audit trail to substantiate compliance.
With Vector Portfolios, you can automatically assess risk, determine valuations, analyze payoffs, detect fraud, check compliance with mortgage underwriting rules, and verify loan quality—often in seconds.
Our Residential Mortgage-Backed Securities database—the largest repository of loan-level information on the U.S. RMBS market—tracks prepayment and credit delinquency risk on nearly $1 trillion in RMBS (over 97% of outstanding pool balances) with loan-level detail on the underlying collateral of 15,000+ private-issue mortgage-backed securities (12,000 active).
This data is available on the Vector Securities™ and Vector Portfolios™ platforms—and as text.
Our Servicing Data is contributed regularly by the leading U.S. servicers on more than 40 million active mortgages, with delinquency, prepayment, and roll-rate metrics at the ZIP code-level—and thousands of analytics options on the full dataset or customer-defined cohorts.
Servicing Data supports TrueStandings Servicing and Loan-Level Market Analytics, providing those platforms with always-current performance-measurement capabilities that produce flexible, focused ad hoc reporting as well as time-saving one-click standard reports. Thanks to the data’s depth, these reports can be customized to focus on a variety of cohorts, including vintage, loan purpose, product types, origination metrics, and geographic tiers.
In addition, access to anonymized loan-level data on over 165 million prime and subprime loans is available for data modeling, trending, and custom metric development.
Our Home Equity Data includes more than 7 million active home equity loans and lines of credit. Our home equity platform can be used to benchmark home equity and second-mortgage portfolios to the national market, to compare portfolio performance to industry standards—including delinquency, prepayment, and utilization—and to assess credit policy, servicing-cost management, geographic risk levels, and prospective portfolio purchases.
Historical loan-level data on over 27 million anonymized home equity loans and HELOCs is also available to support customer modeling and custom analytics needs.
Our monthly CoreLogic HPI Data updates provide clients the most comprehensive, complete, and current U.S. collateral pricing information in the industry—multiple home price index datasets delivered only five weeks after month’s end, including updated indexes for the next two weeks. No other home price index data resource comes close to this level of performance.
CoreLogic HPI Data provide a wealth of segmentations and detail not available elsewhere—the fruit of broader and deeper CoreLogic datasets, which leverage the full breadth and authority of our industry-standard real estate databases. CoreLogic HPI Data incorporate more than 30 years of repeat sales transactions, representing more than 45 million observations that cover 6,860 ZIP codes, 637 Core Based Statistical Areas (CBSAs), and 1210 counties, 50 states and the District of Columbia, and the nation as a whole.
Understanding natural hazard risk today is a key valuation component in successful portfolio investment and management—or securitization deconstruction—since natural hazards can lower or eliminate a portfolio’s property values quickly and comprehensively.
CoreLogic has made a major commitment to understanding natural hazard risk—and in the process taken existing natural hazard risk assessment to new levels. Our scientists have developed proprietary risk-measurement methodologies to assess the future risk of natural hazards, based on factors and historical data unique to each type of hazard.
Our natural hazard database includes comprehensive risk information covering wildfires, earthquakes, hurricanes, tornados, wind and hail, storm surges, flooding, sinkholes, mine subsidence, at-risk coastal locations, at-risk levees, flood zones, and more.
CoreLogic pioneered the process of collecting and maintaining public record and proprietary data more than 50 years ago, a legacy we carry forward today. More than 600,000 clients access our property and homeowner database annually, including sales agents, appraisers, brokerages and multiple listing services. Whatever property-related fact is needed, we can pinpoint it.
Today’s CoreLogic real estate database is the largest in the world, providing property, ownership, and mortgage information on most U.S. properties—and includes:
CoreLogic partners with the leading credit reporting agencies for access to the most up-to-date borrower credit scores and credit data. Anonymized consumer credit profiles are linked at the loan level to securities files and servicing records. The resulting recombinant data provide the metrics for updated anonymized borrower credit scores, insights into non-mortgage debt utilization, and information needed for delinquency and loss forecasting.
The combined data can help analysts optimize their pricing strategies, improve model accuracy, and enhance deal surveillance. They power a number of new tools:
Our property tax database now covers more than 136 million U.S. parcels—made possible by our advanced geospatial location capabilities. This unprecedented scope provides the trustworthy framework used by 22 of the top 25 servicers to manage over 28 million loans—more than half of all first mortgages in the United States.
CoreLogic property tax data-based services range in magnitude from providing basic tax data to the complete outsourcing of client tax functions.
Our Custom Match & Append Services combine access to the nation’s largest property and ownership databases with additional client-specified metrics uncovered by our data mining experts—providing often-unexpected insights into critical performance risk factors.
These additional metrics can include:
From in-depth property details to current trend data to historical patterns—or any available metric—our experts can quickly find and attach insightful data to loan data or entire portfolios.
CoreLogic HPI Forecasts™ is built on the concept that home price index modeling is an integrated discipline that must incorporate four key capabilities to achieve its full risk-reduction potential—our approach alone includes all four of these capabilities:
Built on monthly CoreLogic HPI data and based on a time-tested and academically supported two-stage error correction framework, CoreLogic HPI Forecasts is a vital tool for anticipating pricing trends and future volatility in real estate markets. Available at the ZIP code, county, CBSA, state and national levels, its coverage includes:
CoreLogic HPI Forecasts integrates these data and capabilities into a unified home price modeling solution that can produce unprecedented predictive accuracy.
The key data point for accurate mortgage risk assessment is collateral valuation. Our nationwide network of 7,000+ brokers and agents delivers high-quality broker price opinions (BPOs) quickly and affordably to fill a critical intelligence gap for issuers and investors.
CoreLogic Data-Validated BPOs offer important benefits:
Our Data-Validated BPO reports verify property information and assess property conditions faster and more affordably than traditional appraisals. As a leading provider of AVMs, evaluations, appraisals, appraisal reviews, and hybrid valuation services like report reconciliations, we fully understand the role BPOs play—and know how to ensure they deliver the necessary unbiased accuracy, speed, and reliability.
Whether too high or too low, incorrect collateral valuations can undermine the accuracy of mortgage risk assessments, potentially skewing portfolio investment decisions.
BPO Check is an automated tool best used in the pre-award bidding process, when determining portfolio valuation and formulating a competitive bid. Because it’s automated, the result is delivered instantly. It’s a simple, affordable way to assess mortgage pools or portfolio collateral valuations because of its automated Risk Score, which determines whether the valuation is within your defined risk parameters from only two inputs—property value and comparables. And BPO Check isn’t limited to BPO assessment, it can assess any valuation source, BPO or otherwise.
BPO Review is a judgment-based assessment of mortgage pools or portfolio collateral valuations that is completed by a CoreLogic real estate professional, who assesses four core quality components of valuations and reports agreement or disagreement with the sales price estimates. BPO Review core quality components include:
Best used post-award in the pre-settlement/due diligence process, the BPO Review report is returned within days, not weeks. Because it is judgment based, it also includes a recommended price opinion.
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