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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Real World Data on House Price Impact of Climate RisksThoughtsThe earliest paper we found examining the impact of climate risks on house prices was from 2017, which found a relationship between elevation/sea level rise and house price differences.[1]
We built our climate-conditioned HPA model in 2022 based on the idea that an increase in insurance costs would impact house prices (something we had not studied yet) in the same way that an increase of the same size in mortgage rates would impact house prices (something that we were quite familiar with).
The real world evidence for this relationship has been accumulating recently – on October 15, 2024 the Washington Post published an article entitled “Where climate change poses the most and least risk to American homeowners” which contains the following chart (which is based on an analysis of 2 million home sales in Florida since 2000):
We can see from the lines comparing lower and higher flood risk properties that until very recently, the housing market was not pricing for flood risk. But now there is a clear divergence in price trend.
For the particular case of Florida, there is reason to believe that this trend will strengthen in the near term: until recently, the only reason most people got flood insurance was that they were in a FEMA flood zone and they were required to buy a NFIP policy in order to obtain a mortgage. FEMA flood zone maps are known to be extremely outdated. However, with the accumulation of flooding incidents occurring outside those zones and the publishing of flood risk scores on Zillow, buyers are becoming much more aware of flood risk whether or not a property is in a FEMA zone.
Additionally, the state of Florida is gradually requiring all homeowners buying insurance through Citizens (its FAIR plan for homeowner’s insurance) to also have flood insurance regardless of flood zone status. This requirement started in 2024 for houses priced $600,000 and above, and by January 1, 2027, will extend to all properties insured by Citizens. At the end of 2023, Citizens was the largest insurer in Florida with 15% of all policies and over half a trillion dollars of insured properties.
Furthermore, the different post-event experiences of homeowners who have flood insurance versus those who didn’t is likely to encourage more homeowners – even those not taking a policy through Citizens – to add flood insurance to their property. So flood risk, at least in Florida, is getting closer to being fully priced into real estate values.
While the Washington Post article only discusses flood risk, all borrower costs matter to housing affordability – property taxes, homeowner’s and flood insurance, and the mortgage (leaving aside the psychological costs of nuisance events that don’t rise to the level of filing a claim). To truly capture the potential impact on both house prices and borrower behavior of all these rising costs, a fully climate conditioned approach, combining home prices as well as borrower behavior models (how will prepayment, delinquency, default and loss severity be affected?) is required. This is what our Climate Impact Suite offers.
[1] https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3073842&itid=lk_inline_enhanced-template
The S-Curve Archives
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Thoughts
Summary
In 2021, Andrew Davidson & Co. Inc. (AD&Co) proposed a benchmark cohort approach to setting Ability-to-Repay (ATR) Qualified Mortgages (QM) standards. Successful benchmarks based on data are model-free and transparent, and the cohorts must perform consistently in comparison to one another and across time. Our original work used data through the early stages of the pandemic when non-performing loan percentages skyrocketed.
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ThoughtsHow Lowering Capital Costs Affects Higher-Risk Loans
Government-sponsored enterprises (or GSEs) are companies that provide guarantees and financing to originators through the mortgage secondary market. The size and resilience of the GSE secondary market maximizes diversification and liquidity which reduces financial risk and cost of capital. This benefit accrues to conforming borrowers through lower mortgage rates and resiliently available financing.
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ProductsThe release of Andrew Davidson & Co., Inc.’s (AD&Co) new generation of financial engineering tools marks a shift to a new reality; when the traditional benchmark for MBS valuation, the LIBOR/ Swap yield curve, becomes unavailable. Our recent Product Release email informed our readers about the change. In short, our users can:
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ThoughtsFHFA held a listening session for interested parties on its proposed rule on the GSE process for credit scores. The objective is making mortgage underwriting and pricing more accurate and more fair while balancing practical implementation by firms in the mortgage ecosystem. Along with many others, I had the opportunity to provide insights on this proposed rulemaking.
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ThoughtsIn our January 19th blog entitled, A More Equitable Lending System Will Not Be Created by Accident, we described the efforts it will take to overcome not just bias in lending today, but the systemic factors that have limited access to credit in the past and have created an unjust system.
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ThoughtsIn this short blog post I discuss some developments taking place in the flood insurance landscape in the US and look ahead at a few potential directions things could go. I suggest that universal catastrophic flood insurance coverage with a continuation of the introduction of risk-based pricing would be a significant improvement.
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ThoughtsIntroduction
The Government-Sponsored Enterprises (GSEs) entered conservatorship in September 2008. One could view the succeeding thirteen years as a journey back to financial stability with a refined operating model that looks more like a financial utility than a hedge fund. This business model is more compatible with a fair lending mission for a standard-setter that maintains secondary markets under an effective regulator. The GSEs remain the largest part of the housing finance backbone and a resilient funding source during economic stress.
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Thoughts
Around 75% of white American families were homeowners in the first quarter of 2020, according to data from the United States Census Bureau. However, only 44% of Black American families owned their homes at the same time.
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Thoughts
According to a report by the Research Institute for Housing America, climate change risk is rapidly increasing in the housing industry and will continue to demand more attention and regulation in the near future.
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Thoughts
Mortgage market participants are keenly aware that the Federal Reserve has been scaling back its UST and MBS purchases and factoring the outcomes of its actions on stakeholders across markets.