Borrower Shopping Index: Refinance Lender Efficiency, 2018–2025

Refinance
HMDA data chart comparing rate & term and cash-out refinance originations with the Borrower Shopping Index (BSI), 2018–2025. Originations peaked at 8.3M in 2020 with BSI at 28.7%; collapsed to 0.9M in 2023 as BSI hit 43.2%. Polygon Research HMDAVision
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Data Points
Year 2018 2019 2020 2021 2022 2023 2024 2025 Borrower Shopping Index 38.8% 33.2% 28.7% 27.6% 41.0% 43.2% 40.2% 38.7%
Date Published:
April 10, 2026
Date Updated:
April 10, 2026
Chart type:
Combo Chart
Suggested Citation:
Polygon Research (2026). Borrower Shopping Index (BSI). HMDAVision, Polygon Vision Suite. Derived from HMDA LAR, Rate & Term Refinance and Cash-Out Refinance, Primary Residence, 1–4 Units, 2018–2025. polygonresearch.com
Key Insight and Commentary

During the refi boom of 2020–2021, over 8 million rate & term and cash-out refinance loans closed annually — and borrowers barely shopped. The Borrower Shopping Index (BSI) captures this through loan-level outcomes: the share of applications withdrawn or not accepted by the applicant, relative to closed loans. Unlike surveys, it reflects what borrowers actually did. At peak volume, market BSI sat at just 27–28%.

Then rates rose sharply. By 2023, refi originations had collapsed 88% to under 950,000. BSI hit 43%. When rates make every basis point costly, refinance borrowers compare aggressively and walk if the offer misses. By 2025, volume recovers to 1.75M, but BSI holds at 38.7%. Rate-sensitive behavior is now the baseline.

The market average, however, hides the sharper story. The most efficient lenders have run BSI in the low-to-mid teens — across boom and bust alike. When the market hit 43%, the leaders were at 12–13%. Their number barely moves because BSI, for them, reflects something structural: product-to-borrower fit, pricing discipline, and the ability to meet borrower need the first time.

The gap between market and best-in-class is roughly 3x — consistent across every rate environment. If your refi BSI tracks near the market average, some of that is conditions. The rest is recoverable.

From Analysis to Action

This analysis provides a clear blueprint for how to uncover meaningful market dynamics. Its true power is unleashed when you apply this same methodology to your own local markets. Because all real estate is local, this granular approach is essential for crafting precise strategies that effectively address the unique conditions of each community.

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