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Articles Tagged with: Featured Webinar

RiskSpan’s May 2025 Models & Market Call

Register here for our next monthly model update call: Thursday, May 15th at 1:00 ET.

Note: This post contains highlights from our April 2025 monthly modeling call, which delivered insights into the current economic climate, mortgage model enhancements, and borrower behavior trends. You can register here to watch a recording of the full 28-minute call.

Here’s what you missed:

Market Overview: A Climate of Volatility

With mortgage rates rebounding to 7%, the panel began by acknowledging the choppy waters ahead, flagging 2025 as a year likely to see persistent rate volatility. As recession risks grow and consumer stress indicators rise, modeling accuracy becomes more important than ever.

Notably, consumers are already strained:

  • Rising consumer debt burdens
  • Increased use of personal loans and second liens for debt consolidation
  • Spikes in HEL/HELOC originations and securitizations
  • Climbing Non-QM delinquencies, particularly among 2022–2023 vintages

Model Update: Credit Model v. 7.0

RiskSpan’s newly released Credit Model v7 marks a significant upgrade in loan performance modeling:

  • Delinquency Transition Matrix core structure
  • The model projects:
    • Monthly CDR, CPR, and delinquency balances (0 through REO)
    • Loss severities, liquidated balances, and P&I flows
  • Modular components include:
    • State Transition Model
    • Severity and Liquidation Timeline Modules
  • The model is fully integrated within RiskSpan’s platform, enabling custom inputs for whole loans and securities

This model empowers users with granular delinquency and cash flow forecasting, critical for managing portfolios amid market uncertainty.


Key findings here included:

  • Daily prepay data showing extreme volatility, but offering early trend visibility
  • Trend lines derived from daily data offering good proxies for future behavior
  • Notable discrepancies within MBS-level data, especially among higher-coupon pools

RiskSpan’s continued focus on benchmarking these data sources helps refine both near-term and long-term modeling strategies.


Prepayment Behavior of Top-Tier Borrowers

The panel spotlighted borrowers with FICO scores over 800, revealing some counterintuitive dynamics:

  • Initial refinance activity is higher in the 800+ cohort—”fastest out of the gate”
  • But post-seasoning, refinance rates fall below those of the 700–750 FICO group
  • This “crossover pattern” reflects a phenomenon the team called “Accelerated Burnout”
  • Assumed strategic behavior, like exploiting lender credits, may amplify early refinance intensity

These insights underscore the nonlinear and evolving nature of borrower behavior, especially under fluctuating rate environments.


Model Performance: Staying on Track

RiskSpan’s Prepayment Model continues to track closely with actuals, validating its calibration even in today’s turbulent landscape. Combined with Credit Model v7, clients now have powerful tools for capturing credit and prepayment risk with more accuracy than ever.

Be sure to register for next month’s model update call on Thursday, May 15th at 1:00 ET.

Want a deeper dive into the new Credit Model or Prepay insights? Contact me to schedule a session with our modeling experts.



Mortgage Prepayment and Credit Trends to Watch

Register here for our next monthly model update call: Thursday, April 17th at 1:00 ET.

Note: This post contains highlights from our March 2025 monthly modeling call. You can register here to watch a recording of the full 28-minute call.

Mortgage and credit markets remain dynamic in early 2025, with macroeconomic conditions driving both volatility and opportunity. In yesterday’s monthly model call, my team and I shared key insights into current market trends, model performance, and what to expect in the coming months.

Market Snapshot: A Mixed Bag

After trending downward in February, mortgage rates ticked up slightly in early March. Despite the fluctuation, expectations are for rates to remain relatively stable until at least summer 2025. Most mortgage-backed securities (MBS) are still deeply out of the money, making housing turnover—not rate refinancing—the dominant prepayment driver.

Macroeconomic signals remain mixed. While unemployment is still low and wage growth continues, inflation shows signs of persistence. The Fed is expected to hold the Fed Funds Rate steady through mid-year, with a potential first cut projected for June. Credit usage is creeping higher—especially in second liens and credit cards—hinting at growing consumer debt stress.


Model Performance and Updates

Prepayment Model

RiskSpan’s prepayment model continues to track closely with actuals across Fannie Mae, Freddie Mac, and Ginnie Mae collateral. The model shows:

  • Prepayments rising slightly, particularly among 2023 vintage loans in response to rate moves.
  • Delinquent loan behavior providing rich insights: For “out of the money” (OTM) collateral, delinquent loans are showing higher turnover speeds than performing ones, as borrowers try to avoid foreclosure.
  • Turnover sensitivity to borrower FICO scores is especially pronounced for delinquent loans—highlighting the need for granular credit analytics.

These behavioral insights are informing the next version of our prepayment model, which will incorporate GSE data research to enhance forecast accuracy.

Credit Model v7: A Leap Forward

RiskSpan’s new Credit Model v7—now available—is a significant upgrade, built on a delinquency transition matrix framework. This state-transition approach enables monthly projections of:

  • Conditional Default Rates (CDR)
  • Conditional Prepayment Rates (CPR)
  • Loss severity and liquidated balances
  • Scheduled and total principal & interest (P&I)

The model’s core components include:

  • A vector-based severity model
  • A robust liquidation timeline module
  • Loan-level outputs by delinquency state (including foreclosure and REO)

By modeling the lifecycle of loans and MSRs more explicitly, Credit Model v7 delivers deeper insight into portfolio credit performance, even in volatile markets.


Emerging Risks and Opportunities

Consumer credit balances—especially HELs and HELOCs—have grown significantly, fueled in part by debt consolidation. Credit card utilization has jumped from 22% in 2020 to nearly 30% as of late 2024, indicating growing financial strain.

Meanwhile, delinquencies in the Non-QM space (2022-2023 vintages) are rising—suggesting that investors need enhanced tools to monitor and manage these risks. RiskSpan’s tools, including the enhanced credit model and daily prepay monitoring, help investors keep pace with these shifting dynamics.


Looking Ahead

RiskSpan’s modeling team remains focused on:

  • Continuing to improve prepayment modeling with newly available GSE data
  • Rolling out and enhancing Credit Model v7 for broader use cases
  • Providing clients with forward-looking analytics to anticipate credit stress and capitalize on market dislocations

Be sure to register for next month’s model update call on Thursday, April 17th at 1:00 ET.

Want a deeper dive into the new Credit Model or Prepay insights? Contact me to schedule a session with our modeling experts.



Webinar: MSR Trading Insights

ReGISTER for the recording

Webinar: Tuesday, March 25th | 1:00 ET 
MSR Bulk Trading Insights

Join us for an update from MBA’s Chief Economist, Michael Fratantoni, on the current state of the MSR market.

Then, stick around for actionable strategies from RiskSpan’s Chris Kennedy and Dan Fleishman on how to gain a competitive edge, including:

– How to effectively leverage strategic bidding to maximize outcomes.
– The importance of on-the-fly, ad hoc analysis in responding to market dynamics.
– Best practices for MSR valuations and trading analytics to ensure precise decision-making.

Whether you’re scaling your MSR portfolio or seeking to optimize your trading processes, this webinar will equip you with the tools and insights to stay ahead in a competitive landscape.

Panelists
Michael Fratantoni, Chief Economist, Mortgage Bankers Association

Chris Kennedy, Director, RiskSpan

Dan Fleishman, Head of Client Success, RiskSpan


Private Credit Primer Series: Insights for Investors

We are delighted to announce the release of RiskSpan’s series of Private Credit Primers aimed at providing investors with essential knowledge about the diverse and growing landscape of the loan types that private credit investors are buying. These primers offer at-a-glance insights into the mechanics, performance expectations, and unique features of various asset classes, enabling investors to make informed decisions in this dynamic market.

The first three primers in the series are available now: They focus on Residential Transition Loans (RTLs), Personal Loans, and HELOCs — loan types that are becoming increasingly popular in the private credit space.

Residential Transition Loans (RTLs) (full primer here)

RTLs are short-term loans designed to help borrowers bridge financial gaps during transitional periods in residential real estate. Often used for construction, bridge, and relocation purposes, RTLs typically have terms ranging from 6 to 36 months and feature higher interest rates than traditional long-term financing. These loans play a crucial role for both homeowners and real estate investors, especially in markets where property values fluctuate or where short-term liquidity is needed.

  • Important Features: RTLs often involve draw functionality, allowing borrowers to access funds incrementally as projects progress. Another key aspect is the use of the “As-Repaired” Value (ARV) to calculate Loan-to-Value (LTV) ratios, based on the projected value of the property after repairs.
  • Performance Considerations: While RTLs have performed well during periods of stable or rising home prices, the primer cautions that these loans are more vulnerable during economic downturns or periods of home price decline​.

Personal Loans (full primer here)

Personal loans can be secured or unsecured and are used for a variety of purposes, including debt consolidation, medical expenses, and large purchases. They are repaid in fixed monthly installments over a predetermined period.

  • Important Features: The primer highlights key modeling considerations for personal loans, such as static default/prepayment assumptions, which rely on historical data to predict future loan performance based on factors like loan age and borrower profiles.
  • Performance Expectations: As of 2024, the delinquency rate for personal loans stands at around 3.38%, with average interest rates hovering around 12.42%, though they can vary widely depending on market conditions and borrower credit quality​.

HELOCs (full primer here)

The complexity of modeling HELOCs stems from their sharing characteristics of both a mortgage and a credit card. Reliable assumptions about borrower behavior both during the draw period (when balances can move in either direction at any time) and during the post-draw, repayment-only period are crucial to forecasting correct cash flows.

  • Important Features: Understanding regional variations and borrower characteristics can provide deeper insights into HELOC performance, helping to refine risk models and lending strategies.
  • Performance Expectations: The delinquency rate for HELOCs can vary based on factors such as economic conditions, borrower credit quality, and market trends. However, historically, the delinquency rate for HELOCs tends to be lower than for unsecured loans or credit cards.

What to Expect from the Series

Each primer in the series will not only break down the mechanics of the loan type but also provide performance insights and modeling considerations. With the ongoing volatility in the financial markets, these primers will explore how various asset classes perform under different economic conditions, such as rising interest rates, declining home prices, or increasing unemployment.

By offering practical, data-driven insights, the Private Credit Primer series will serve as an invaluable resource for private credit investors who are looking to deepen their understanding of these asset classes and navigate potential risks effectively.

Stay tuned for more primers in this series, as we continues to expand RiskSpan’s library of resources for private credit investors!


Transforming Loan Data Management Using Snowflake Secure Data Sharing

Presenters

Paul Gross

Senior Quantitative Analyst, Rithm Capital

Michael Cowley

Principal, Data Cloud Products, Snowflake

Bernadette Kogler

CEO, RiskSpan

Suhrud Dagli

CTO, RiskSpan

Wednesday, May 29th, 2024

1:00 ET

Hear from a distinguished panel including RiskSpan and Snowflake customers as they describe how Data Share has transformed their approach to mortgage investment. Specific topics to include:

  • High-speed data processing using Snowflake for easy delivery of risk analytics and diligence data
  • How Snowflake’s Data Sharing facilitates data access across and between organizations while maximizing computational performance and flexibility 
  • How Snowflake protects client data
  • The unique value of a central hub for all mortgage industry data and never having to FTP a file again

watch recording


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