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A decade ago, the JPMorganChase Institute launched with a clear mandate to shed light on the economic realities of the American economy, its households, small businesses, and communities. From the outset, we recognized housing finance as a foundational research pillar because it is not only the single largest expenditure for most American families, but also the primary mechanism for wealth creation and a key determinant of financial stability.

With housing costs once again in the mainstream discourse, our latest research on homeownership affordability and the impact of inflation on renters builds on a decade of research that has delivered important insights into how consumers buy homes, cope with rising rents, and build wealth. In the years following the Great Recession, it became evident that the recovery, while measurable at the macroeconomic level, was deeply uneven. National statistics in income, employment, and housing prices often masked the unequal realities faced by households across different wealth levels, regions, and socioeconomic backgrounds. This is where the Institute stepped in – striving to answer not just what was happening in the financial lives of consumers, but how and to whom. These insights have provided an empirical bedrock for policymakers, business leaders, and community stakeholders.

Advancing the frontiers of housing research

Our housing work has been defined by a commitment to providing empirical answers to foundational questions through the unique lens of household financial flows. This approach has allowed us to uncover unexpected patterns and challenge prevailing industry wisdom about what truly drives housing stability, affordability, and wealth-building.

  • Home equity and borrower stability: Our research challenged the long-held belief that home equity is the most critical factor in a borrower’s stability. In our 2019 report, “Trading Equity for Liquidity,” we found that having a liquid cash buffer was a much stronger predictor of avoiding default than a large initial equity stake. Borrowers with less than one mortgage payment in reserve had five times the default rate of those with three months’ reserve. This raised the possibility that allowing slightly smaller down payments, while requiring borrowers to retain emergency savings, could lower default rates. Our findings prompted discussions about underwriting models among the industry and housing advocates, and sparked debates about how to design effective relief for at-risk homeowners, as well as Mortgage Reserve Accounts.

In the first three years following origination, borrowers with little post-closing liquidity defaulted at higher rates and made up a disproportionately high share of defaults.

3-year default rates, share of mortgages, and share of defaults by post-closing liquidity

Line graph of three-year default rates by amount of post-closing liquidity, shown against a bar chart representing the share of mortgages and share of defaults by amount of post-closing liquidity. Amount of post-closing liquidity is shown as the number mortgage payment equivalents (MPEs) a borrower has one month after closing. Borrowers with less than one MPE of post-closing liquidity defaulted at a rate (1.8%) that was more than five times higher than borrowers with between three and four MPEs of liquidity (0.3%). At higher liquidity levels, the relationship between post-closing liquidity and default rates was nearly flat: borrowers with between four and ten MPEs of liquidity had default rates between 0.2% and 0.3%. Borrowers with little in post-closing liquidity made up a disproportionately high share of defaults; those with less than one MPE in post-closing liquidity made up 20 percent of our sample but accounted for 54 percent of defaults. Source: JPMorgan Chase Institute

 

  • Impact of government housing policies: Following the Great Recession, our mortgage modifications report delivered a clear verdict on the effectiveness of loan modification regimes. Trimming a borrower’s monthly payment today mattered more than reducing their long-term debt, demonstrating that diminished liquidity constraints could prevent future default. This work, like our 2019 report, lent empirical weight to the argument that immediate cash-flow relief is paramount for distressed families.
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    A 10 percent mortgage payment reduction reduced default rates by 22 percent

    A 10 percent mortgage payment reduction reduced default rates by 22 percent. Source: JPMorgan Chase Institute

     

     

  • Housing affordability: In 2024, federal policymakers were increasingly concerned about the affordability impacts of fees. In anticipation of the debate, we released a study, “Hidden Costs of Homeownership” that investigated the opaque world of mortgage closing costs. We showed that the financial marketplace led to unequal outcomes, with closing fees varying by lender type and some borrowers paying more. Compared to homebuyers using depository lenders, those using mortgage brokers paid on average $739 more in fees, while those using nonbank lenders paid about $506 extra. More troubling were the racial disparities that held even after controlling for other factors. This work shone a light on structural inequity that diminished the ability of Hispanic, Black, and Asian families to purchase homes and build wealth, underscored by coverage from the National Mortgage Professional.
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    Navigating mortgage closing costs—lender type impact

    Borrowers using nonbanks and broker lenders can expect to pay significantly more in upfront loan costs compared to depository lenders. These increased costs can make access to homeownership challenging

    A bar chart depicting the difference between average closing costs at banks, broker/correspondent lenders, and nonbanks. The left panel depicts the percentage over bank average closing costs that broker/correspondent lenders and nonbanks charge. The right panel is a zoomed in look at the overage presented in terms of dollars. Source: JPMorgan Chase Institute

    • Importance of renters and landlords to housing market stability: During the COVID-19 pandemic, we confirmed that renters started with much smaller financial buffers. By the end of 2020, they had depleted about 75 percent of their extra savings, compared to 46 percent for mortgage holders. At the same time, our research offered a nuanced view of small landlords: while their rental income fell by roughly 20 percent, most remained resilient by sharply cutting expenses, with only about seven percent missing mortgage payments on their rental properties. Our most recent work quantifies how rising housing costs affect renters' everyday choices. We contextualized their coping mechanisms, demonstrating that for a $100 increase in monthly rent obligations, renters underwent a crowding out effect by cutting approximately $39 from other everyday necessities. This effect disproportionately harms already vulnerable households. Those spending less than 30 percent of income on rent made minor adjustments, while Severely Burdened renters faced far greater sacrifices.  

    For every $1 increase in rent, renter households reduce other spending by 39 cents, with larger percentage cutbacks among the most rent-burdened renters

    A bar graph titled "Nondurable Spending Sensitivity by Rent Burden" showing the comparison of rent elasticity and marginal propensity to consume (MPC) on non-durable spending across different rent burden segments. The x-axis represents three segments: Not Burdened, Burdened, and Severely Burdened. The y-axis represents values ranging from 0.00 to 1.00. Each segment has two bars: a blue bar representing elasticity and an orange bar representing MPC. For the Not Burdened segment, elasticity is 0.21, and MPC 0.39. For the Burdened segment, elasticity is 0.51 and MPC 0.37. For the Severely Burdened segment, elasticity is 0.84 and MPC 0.54. Dotted lines indicate the values for each measure across burden segments, with elasticity and MPC for overall renters being 0.27 and 0.39, respectively. Source: JPMorgan Chase Institute

    Shaping a more affordable housing future

    A decade of the Institute’s foundational insights into wealth-building mechanisms and barriers to sustainable homeownership has built the bridge between empirical research and policy advocacy. Our research has helped shape the JPMorganChase PolicyCenter’s efforts to advance equitable policy solutions by providing the essential building blocks for legal reforms such as the Uniform Partition of the Heirs Property Act, aimed at helping families unlock generational wealth by clearing tangled titles. 

    Our evaluation of the state of housing unaffordability, renter financial stability, and the effectiveness of policy prescriptions has supported the development of the PolicyCenter’s agenda. Together, we have created a center of expertise that has spurred crucial policy momentum; from building the case for increased housing supply to developing an actionable blueprint of federal opportunities essential for building an affordable housing supply pipeline and expanding the path to homeownership for under-resourced communities.

    The next decade in housing research

    In an era characterized by accelerating change and growing economic uncertainty, the role of data-driven decisionmaking is more important than ever. As we look ahead to the next decade, our research agenda is evolving to confront a new set of interconnected challenges at the frontier of housing economics. From quantifying the financial impact of natural hazard risk as it becomes capitalized into insurance and mortgage markets, to understanding the lasting effects of housing supply constraints on the homeownership prospects of the next generation of homeowners. We look forward to continuing to leverage our data and expertise to help advance policy that delivers better outcomes for all. 

    Makada Henry-Nickie

    Makada Henry-Nickie

    Housing Finance Research Director, JPMorganChase Institute