The S-Curve

Welcome to The S-Curve

Now you will be able to receive the latest announcements, product updates, and our insights on the mortgage market in real time.

The name of the blog, the S-Curve, is a reflection of our logo and the central feature of our prepayment model. S-curves are seen in nature in many phenomenon, from population growth to prepayment and default models. Our first S-curve, in the early 1990s, used the arctangent function, then piece-wise linear functions, and evolved over time to be more complex and vary by FICO, loan size and LTV. This evolution encapsulates both the timeless nature of fundamental relationships and constant innovation to describe them better over time.

We hope you find the information useful and we look forward to your feedback.

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Blog - Latest
  • Thoughts on Stress Tests and Capital

    Andrew Davidson

    Thoughts

    As providers of mortgage models for financial institutions, Andrew Davidson & Co., Inc. (AD&Co) enables clients to validate their use of our models and offers documentation describing the conceptual framework of the models, back-testing results, and sample forecasts under a variety of economic conditions. We also work with analytics providers who have incorporated our models to ensure that the models works as intended.

    Even with this extensive support, we often do not know how our models will be used. A model that is good for one use may not be appropriate for another. For example, valuation for hedging often is different from valuation for pricing and determining return on equity, or a model built on agency data may not be appropriate for agricultural mortgages. When we are asked or when we are provided with additional information about the client’s use, we can provide additional insight into whether the model is being used appropriately.

    The determination of how a model should be employed starts with clarity on how the results of the model will be used. Note that the focus here is not on how reliable the model is or how it performs in sample or out of sample; rather, it is on what actions will be taken based upon the output of the model.

    In the case of the Dodd-Frank Act Stress Test (DFAST) and the use of the stress tests to determine the Stress Capital Buffer (SCB), we know how the stress tests are being used by banking regulators and what actions are taken based upon the results of the stress test.

    According to the Federal Reserve:1 The original stress tests “played a role in bolstering confidence in the capital positions of U.S. banks during the 2007-09 financial crisis….” This, indeed, is an appropriate use for a system-wide stress test. In a time of crisis, with similar but uncertain risk throughout the financial system, a stress test may provide information about the health of the financial system and individual financial institutions that could not be determined using other measures of capital adequacy.

    The Fed goes on to say that capital stress tests, “have become a critical supervisory tool” and are used to integrate “the Board's non-stress regulatory capital requirements with its stress-test-based capital requirements….” Here’s the rub. Did they become a critical supervisory tool and a basis for determining capital requirements because they were the right tool or because they were the tool that was available to the regulators to exercise discretion in setting capital requirements as they sought to replace the Advanced Approaches that utilized bank models?

    Starting from basic principles, a stress test is not the best mechanism to establish capital requirements. Conceptually, capital is required to protect depositors and creditors from uncertainty. Expected losses should be built into reserves. Capital then is required for undiversified and unhedged tail risks that are borne by the financial institution. As these risks are associated with uncertainty they may not be reflected in any individual scenario. In fact, due to the availability of a wide range of financial instruments, banks can control the amount of risk in any single scenario at a modest cost and without reducing overall risk.

    This creates a quandary for regulators. If they telegraph the detailed stress scenario in advance, institutions will be able to adjust their portfolios to enhance income in those scenarios, thereby reducing their required capital buffer, but not necessarily reducing risk across other potential scenarios. However, if they do not disclose the scenarios in advance, they can be (and have been) accused of being arbitrary.

    The use of specific scenarios also creates issues associated with the use of models like AD&Co’s LoanDynamics Model or any model of borrower behavior within the stress test framework. Stress tests by their very nature involve scenarios that either have not occurred in the past or have been very infrequent. Moreover, no two actual stress events are the same. Thus, it is not possible to determine with precision how borrowers will behave. While models may and should provide a general indication of the performance of financial assets under stress, there may be substantial uncertainty.

    Once again, the regulators face difficult choices. Should they allow each firm to develop and use their own models and recognize that there will be different results for similar assets under the same scenario at different institutions? Or should they seek consistency in results even in the face of this fundamental uncertainty? Neither solution seems quite right. Capital should reflect model risk as well as other economic uncertainties, so forcing use of a single set of modeling assumptions could increase systemic risk.

    While it may seem like the current approach is beneficial if the stress scenario occurs and harmless otherwise, there are substantial costs and missed opportunities associated with the DFA Stress Tests. Firms (and the Fed) spend significant resources on the stress test because they have a direct impact on capital requirements and dividends. Those resources might be better spent on a broader set of risk measurement and risk management activities. Furthermore, stress tests may create a false impression that the banks have sufficient capital to withstand any stress or, even worse, that when stress emerges, that was not envisioned by the regulatory scenarios, such as the rate increases in 2022 and 2023, depositors and investors may have little confidence that the banks can weather the storm.

    Even if the current implementation of stress tests isn’t the right approach to determining a capital buffer, can stress tests still be used to determine a capital buffer without revamping the entire capital regime?

    A better approach to using stress tests would be to recognize that capital is required to bear a variety of uncertain risks. As such, other than when there is a dominant risk across the entire financial system, a variety of scenarios are required. A better approach would also recognize that interest rate risk in the banking book is not captured by current asset-based capital requirements, which focus on credit risk, scenarios which expose risk from rising and falling rates are also required. The introduction of the exploratory scenarios last year is a partial step in this direction. A better approach would also encourage financial institutions to explore the model risk associated with asset performance without penalizing firms for looking at more conservative scenarios.

    This approach would involve five or possibly even ten scenarios to provide a robust evaluation of risk. 5 to 10 scenarios that are defined relative to current conditions that would stress credit, market risks, and interest rates. The scenarios could even have a counter-cyclical flavor. The Fed could choose one for the actual stress test that year (if there continues to be a requirement to have only one scenario) but with the expectation that firms would compute results and manage risk for all the scenarios since they wouldn’t know which one was going to be selected.

    In this way, the stress test would operate like an exam where the professor tells you all the possible questions but only selects one or two for the final.

    With a framework that includes multiple scenarios that can be consistent over time, stress tests can be a more valuable and reliable tool for determining stress capital requirements. During periods of system-wide stress, scenarios can be developed to bolster financial confidence, as during the Great Financial Crisis. In this way, scenario-based stress tests can be valuable both during and between periods of severe financial stress.

     

     

    1 “Stress Tests.” Federal Reserve Board - Stress Tests, June 22, 2022. https://www.federalreserve.gov/supervisionreg/stress-tests-capital-planning.htm.
Blog - Archives

The S-Curve Archives

  • Mickey Storms, Alex Levin

    Thoughts

    Recently, aggregators have crossed market borders by issuing residential mortgage-backed securities (RMBS) backed by owner-occupied (OO), GSE-eligible conforming loans. Additionally, conforming mortgage loans have drawn investment interest from insurance companies fronted by aggregators and evaluated by third-party firms. These developments constitute historically rare disintermediations of the nearly monopsonist purchases of conforming loans by the GSEs.

  • Rob Landauer, Abe Martin

    Podcast

    Join Rob Landauer in a conversation with Abe Martin as they discuss his recent Pipeline article, "Modeling the Balance Behavior of HELOC Borrowers." In this episode, they highlight key points from the article as he shares insights into the draw component of HELOCs and provide an update on the beta rele

  • Ashlea Bonds

    News

    We’re excited to announce a major addition to the Andrew Davidson & Co., Inc. (AD&Co) team. Industry leaders Kelli Sayres and Gene Park, known for building and scaling leading fixed-income analytics platforms, have joined AD&Co’s Business Development team.

  • Sanjeeban Chatterjee, Vivian Li, Joni Baker, Richard Cooperstein

    Thoughts

    Building on our earlier research on expanded consumer attributes, AD&Co continues to explore how credit data contributes to modeling delinquency and prepayment risk, which are key drivers of mortgage servicing rights cash flows and valuation.

  • Joann Gollette

    Events

    Andrew Davidson recently joined NFM Lending’s Greg Sher on the One On One podcast to discuss our recent white paper, “The Impact of Moving Away From the Tri-Merge Standard.”

  • Eknath Belbase, Daniel Swanson, Yvonne Chen

    Events

    AD&Co recently sponsored and attended SFVegas 2026 and Optimal Blue Summit 2026. This post shares the AD&Co team's unique perspectives and key takeaways from attending both conferences.

  • Alex Levin

    News

    AD&Co US Mortgage High Yield Indices

    The Federal Reserve Economic Data (FRED) portal, housed by the Federal Reserve Bank of St. Louis, has been publishing AD&Co’s CRT indices since 2019. These series posted under the overall name of “US Mortgage High-Yield” include total return rates and credit and option-adjusted spreads (crOAS) – a projected return’s spread over Treasury (in the past, Libor). These series are available going back to 2014-end and tiered by CRT initial supports.

  • Joni Baker, Sanjeeban Chatterjee, Richard Cooperstein, Andrew Davidson

    Thoughts

    In July 2025, the US Federal Housing Finance Agency (FHFA) announced that the government-sponsored entities (the Enterprises or GSEs), Fannie Mae and Freddie Mac, would permit lenders to choose between Classic FICO and VantageScore 4.0 credit score models for loans sold to the GSEs. FHFA also stated in a social media post that the tri-merge standard would be maintained for mortgage underwriting. Nevertheless, some mortgage industry stakeholders recommend moving away from the tri-merge standard for GSE mortgages in favor of a single or bi-merge report standard.

  • Joann Gollette

    News

    As housing faces more climate threats that result in more losses, the insurance program that it sits on is teetering on the brink of collapse. Yet, the home insurance market has three distinct stakeholders that have competing priorities, and today, there is no motivation for a collaborative solution.

    Understanding how to strengthen and protect the current structure requires looking at the cost burdens along with the risk for each of those parties.

  • Sanjeeban Chatterjee

    Thoughts

    There has been a flurry of activity in the mortgage markets since the 2018 passage of the Economic Growth, Regulatory Relief, and Consumer Protection Act. This act requires the Federal Housing Finance Agency (FHFA, now known as US Federal Housing) to validate and modernize the credit score models used in the housing finance system. It should be noted that so far, the discourse has been around mortgages sold to the Enterprises (Fannie Mae and Freddie Mac). Ginnie Mae has not provided any guidance on their plans to start using new credit score models.