The SVB Signature at Community Scale: A One-Bank Cohort in Wyoming

The screen returns exactly one match at 2025Q4: The Converse County Bank, Wyoming (FDIC CERT 12591), a $1.09 billion institution in the $500M–$2B asset band. The bank's HTM portfolio stands at 27.96% of total assets — nearly double the 15% predicate threshold — while its net interest margin of 2.06% sits well below the 2.5% ceiling, having compressed 43.7 basis points year-over-year. All three predicates trip simultaneously, and by non-trivial margins.

The cohort's geographic concentration is degenerate at n=1: 100% Wyoming, 100% community-bank asset band. This is not a sector pattern in any meaningful sense. It is a single-institution signature that happens to reproduce, at a fraction of the scale, the structural conjunction visible in a much larger and more consequential failure two years ago. The value of the screen is not that it identifies many banks — it is that it identifies few, and identifies them cleanly. Converse County is not a CRE-concentration outlier, not a capital-adequacy concern on standard screens, and would not surface on conventional asset-quality diagnostics. What surfaces here is the interaction of three otherwise-unremarkable metrics.

The v0.1 precedent corpus does not contain a graded analog for this specific compound signature at the community-bank scale. The doctrinal reference point — Silicon Valley Bank's 2023Q1 resolution — is invoked as the motivating case for the screen's construction rather than as a fitted precedent record, and lies outside the current corpus. SVB was a $200B+ institution with a venture-deposit concentration and an AOCI/HTM gap that the Layer 1 v0.1 pipeline cannot yet reproduce directly; Converse County is a $1.09B community bank in a rural Wyoming economy. The structural signature rhymes; the business model does not.

Pattern matching at this corpus depth is illustrative rather than statistically grounded. The mechanism analysis below carries the analytical weight for this artifact. Readers should treat the SVB reference as the reason the screen exists, not as evidence that this particular cohort member is on the same trajectory.

The compound signature matters because each predicate is defensible in isolation and dangerous in combination. Take them in sequence.

An HTM portfolio at 27.96% of assets is a balance-sheet posture, not a violation. Under ASC 320, HTM classification permits amortized-cost accounting and shields reported capital from mark-to-market volatility on rate moves. The economic exposure, however, does not disappear — it sits latent, realizable only through sale (which would require reclassification of the entire portfolio) or through the slow bleed of below-market yields against a rising cost of funds. In a stable-rate or easing environment, this posture is inert. In a tightening or higher-for-longer environment, it locks in a yield curve that the liability side must eventually catch up to.

A NIM of 2.06% leaves no earnings cushion. Community banks in this asset band typically operate with NIMs in the 3.0–3.5% range; sub-2.5% NIM means the spread engine is already compressed before any further deposit repricing or funding stress. There is no headroom to absorb further margin decay through retained earnings.

A 43.7 basis-point year-over-year NIM decline confirms the compression is active, not stable. This is the derivative that matters. A low but stable NIM reflects a business model; a low and falling NIM reflects a book that is repricing faster on the liability side than on the asset side — the mechanical signature of long-duration assets funded by increasingly rate-sensitive deposits.

The 2006 Interagency Guidance on Concentrations does not speak to this profile, and standard CRE screens will not catch it. The relevant supervisory frame is CAMELS L, engaged through the interest-rate-risk lens articulated in the 2010 Interagency Advisory on Interest Rate Risk Management.

Klaros should treat this artifact as a single-institution monitoring flag rather than a sector-pulse finding. Three action arcs follow.

Cohort tracking. The screen should run each quarter with the same predicate thresholds. The analytical value is in watching whether the cohort grows from one to five to twenty over successive quarters — that trajectory, not the current n=1 reading, is what would signal a broader community-bank rate-risk episode. A cohort that stays at one or two members is a curiosity; a cohort that expands is a sector story.

Engagement positioning. Klaros advisors working with community banks in the $500M–$2B band, particularly those with HTM-heavy investment portfolios accumulated during the 2020–2021 low-rate window, have a defensible conversation opener here. The framing is not alarmist — it is diagnostic. The three metrics are auditable from Call Report data and the conjunction is rare enough to make the conversation specific.

Examination preparation. For any Klaros client whose profile approaches these thresholds without tripping all three, the artifact provides a defensible pre-examination self-assessment framework. Regulators focused on IRRBB post-SVB will apply variants of this screen; being able to demonstrate that management has already run the diagnostic, understands where the institution sits, and has documented a funding-cost sensitivity analysis is a materially stronger examination posture than being asked the question cold.

The Converse County Bank itself is not a Klaros client matter absent an engagement. It is a data point that validates the screen's discriminating power at 4,108-to-1 selectivity.