This analysis explores Atlantic Union Bankshares' Q1 2026 earnings to understand the sensitivity of PAA accretion run-rate to prepayment speed changes, highlighting key uncertainties and baseline figures.
Generated by Dafinchi AI. Source-grounded AI analysis, not investment advice.
Can you quantify the expected quarterly accretion run-rate (PAA) sensitivity to prepayment speed changes in basis points or $ per 100 bps change?
Across the provided Q1’26 earnings transcript excerpts, management explains that PAA / accretion income fluctuates primarily with prepayment activity timing and that it’s “very difficult to predict.” 123 The excerpt also gives a baseline “excluding accelerated/prepayments” accretion range and characterizes accelerated prepayment accretion as a smaller “wildcard.” 1
However, the excerpts do not quantify how much accretion changes when prepayment speed changes by a defined magnitude (e.g., “+100 bps” change in prepayment speed) and therefore do not provide a direct basis-point or $-per-100-bps sensitivity that could be computed from the text alone. 123
From management’s baseline commentary:
So, total quarterly accretion could be thought of as:
Management also highlights quarter-to-quarter fluctuation (“could be more higher, it could be lower”) depending on what prepayments occur, and notes they were “high in the fourth quarter” and “lower this quarter” excluding a $3.5 million nonrecurring adjustment. 2
To answer the question as asked—“expected quarterly accretion run-rate (PAA) sensitivity to prepayment speed changes in basis points or $ per 100 bps change”—we would need, at minimum:
None of the excerpts provide:
Instead, management emphasizes volatility and unpredictability of prepayments and refers to general run-rate observations (“normalized… more in the $3 million a month kind of thing”). 123
While we cannot produce a true “$/100 bps” sensitivity from the excerpt, we can quantify how much of the quarterly run-rate is exposed to prepayment volatility:
So, the maximum disclosed volatility exposure (within the disclosed decomposition) is on the order of $9M/quarter attributable to prepayment-driven acceleration, relative to a total baseline of ~$10–$11M/quarter. 1
But translating that into sensitivity per +100 bps prepayment speed is not possible without an explicit change-in-speed scenario. 123
If you want, you can provide the specific prepayment-speed metric definition and any “+100 bps speed → accretion impact” disclosures from the same filing (or model appendix). Without that, a true “$/100 bps” sensitivity would be fabricated rather than analytically derived—something this excerpt set does not permit. 123
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