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Webinar: How Much Will That MSR Portfolio Really Cost You?

Accurately valuing a mortgage servicing rights portfolio requires accurately projecting MSR cash flows. And accurately projecting MSR cash flows requires a reliable forecast of servicing costs.

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Harness the Power - Data and Analytics that scale

Rethink your loan and structured finance data

Clean data, historical performance, and predictive analytics for loans, securities, and MSRs.

Work with the data experts in loans and structured finance.

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Rethink your analytics.

Harness cloud-native analytics at scale to manage investment opportunities and financial risks.

Pricing and Trading: Loans, Securities, and MSRs

Market Risk

Surveillance for Credit Risk

Climate Risk and ESG

Valuation

Allowance

Research Tools and Benchmarking

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Rethink: Data + Models + Analytics

Learn more about RiskSpan’s award-winning platform for loans, securities, and MSRs analytics.

Historical analysis and predictive risk forecasting – on-demand from your browser or by integrated institutional batch.

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RiskSpan Technology

RiskSpan’s Edge Platform is a powerful combination of data, models, and analytics for loans, securities, and MSRs.

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Analytics for loans and structured finance investments.

RiskSpan’s advanced technology is a highly configurable platform for integration of data,
models, and analytics on high-speed, cloud-native infrastructure.

Data and analytics that scale

A purpose-built, cloud-native solution designed to help investors and risk managers trade and manage loans, securities, and mortgage servicing rights portfolios.

Outdated technology is slowing you down.

Rethink your loan and structured finance data.

Rethink your analytics.

On-Demand. Access normalized and reliable data to analyze historical performance of loans and securities as part of your pre-trade analysis.

On-Demand. Run analytics for loans, securities, and MSRs.

Leverage “tape cracking” for loan collateral with our SMART ETL tool.

Use RiskSpan’s predictive prepayment and credit models or substitute your own.

On-Demand or Managed Service. Run portfolio analytics and market risk on over 70 asset classes. Access and select shock scenarios from our extensive library.

Our advanced compute tech is powered by high-speed distributed cloud-native architecture that meets the changing requirements of investors and regulators.

Data aggregation engine and data warehouse with next generation validation technology.

Data sourced directly from primary loan servicers and other vendors.

Analysts-On-Demand

Our Analysts-On-Demand solution is provided as part of your investment in RiskSpan’s Edge Platform. Experts are also available to you separately by retainer for your specialized analytics needs.

The Analysts-On-Demand team consists of more than 50 data scientists, data analysts, modelers and other quants who help clients solve their toughest data and modeling problems.

Work with our data experts to elevate your analytics for loans and structured finance investments.

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Our Insights

Browse our latest content — register for an upcoming (or recorded) webinar, check out our blog, or download a white paper.

ARLINGTON, Va., September 29, 2022 -- RiskSpan, a leading technology company and the most comprehensive source for data management and analytics for residential mortgage and structured products, has announced that

Quantifying the Impact of Climate Risk on Housing Finance

When people speak of the risk climate poses to housing, they typically do so in qualitative and relative terms. A Florida home is at greater risk of hurricane damage than

Industry Veteran Patricia Black Named RiskSpan Chief Client...

ARLINGTON, Va., Sept. 19, 2022 -- RiskSpan, a leading technology company and the most comprehensive source for data management and analytics for residential mortgage and structured products, has appointed Patricia

Webinar Recording: Bumpy Road Ahead for GNMA MBS?

Recorded: Thursday, September 29th | 3:30 p.m. EDT The panel discusses the likely impact of recent, and potential future, market events on GNMA MBS. Topics for discussion will include: How

“Reject Inference” Methods in Credit Modeling: What are the...

Reject inference is a popular concept that has been used in credit modeling for decades. Yet, we observe in our work validating credit models that the concept is still dynamically

Rising Rates; Rising Temperatures: What Higher Interest Rat...

Janet Jozwik leads RiskSpan’s sustainability analytics (climate risk and ESG) team. She is also an expert in mortgage credit risk and a recognized industry thought leader on incorporating climate risk

How Do You Rate on Fannie Mae’s New Social Index?

Quick take-aways HMDA data contains nearly every factor needed to replicate Fannie Mae’s Single Family Social Index. We use this data to explore how the methodology would look if the

Live Demo of RiskSpan’s Award-Winning Edge Platform–3

Wednesday, August 24th | 1:00 p.m. EDT Live Demo of RiskSpan’s award-winning Edge Platform. Learn more and ask questions at our bi-weekly, 45-minute demo.Historical Performance Tool: Slice and dice historical

RiskSpan Introduces Multi-Scenario Yield Table

ARLINGTON, Va., August 4, 2022 RiskSpan, a leading provider of residential mortgage and structured product data and analytics, has announced a new Multi-Scenario Yield Table feature within its award-winning Edge

It’s time to move to DaaS — Why it matters for REITs, loan ...

Data as a service, or DaaS, for REITs, loans and MSR investors is fast becoming the difference between profitable trades and near misses.Granularity of data is creating differentiation among investors.

Senior Home Equity Rises Again to $11.12 Trillion

Senior home equity rises again. Homeowners 62 and older saw their housing wealth grow by an estimated 4.9 percent ($520 billion) during the first quarter of 2022 to a record

RiskSpan Introduces Media Effect Measure for Prepayment Ana...

ARLINGTON, Va., July 14, 2022 RiskSpan, a leading provider of residential mortgage and structured product data and analytics, has announced a series of new enhancements in the latest release of

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