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US bank hierarchical exposure — the vulnerable subset, HTM vs AFS, and the stablecoin squeeze

Built 2026-06-07 from FDIC per-institution call reports (2026Q1) via models/graph/bank_exposure.pydata/bank_exposure.json (top 200 banks). Aggregate series from macro-fdic.json. Stablecoin/policy via GENIUS Act + ICBA.

1. The HTM-vs-AFS divergence (your thesis — confirmed)

Two facts from the FDIC aggregate series, both as you suspected:

2024Q12025Q12025Q42026Q12yr narrowing
AFS unrealized loss−$212B−$152B−$99B−$111B~−48% (faster)
HTM unrealized loss−$305B−$262B−$207B−$214B~−30% (slower)

2. The hierarchy (tiered by the data, not by reputation)

From data/bank_exposure.json (2026Q1). The vulnerability is not uniform — it concentrates by tier:

The biggest "hidden" HTM holes (un-marked, as % of equity)

USAA −50% · Charles Schwab Bank −43% · Bank of Hawaii −35% · BofA −34% (−$81B) · Morgan Stanley PBNA −23% · Wells −19%. (Schwab and USAA are deposit-franchise-specific; BofA is the systemically large one.)

Flagged vulnerable subset (≥2 of CRE>300% / secs-loss>15%eq / uninsured>50%)

Frost Bank (TX), First Hawaiian, City NB of Florida, Banco Popular (PR), Citizens Business Bank (CA), US Bank, Washington Trust, Farmers & Merchants (CA) — the securities-loss + run-risk overlap. The CRE-heavy regionals (Western Alliance/Zions/Webster) are a second watch-list: high CRE concentration but (so far) smaller securities holes.

3. The squeeze: mega vs mid, and the stablecoin/tokenized-deposit shift

4. Community-bank politics (user-supplied items, graded)

5. Limits (honesty)

True bilateral interbank exposures (who owes whom) are not publicly granular — only aggregates (Fed funds, FHLB advances, the H.8 NDFI line ~$1.97T, brokered deposits). This hierarchy is built from each bank's own balance-sheet risk (CRE, HTM/AFS, uninsured), which is the right proxy for run/CRE-unwind vulnerability, but it is not a contagion-netting map. The TLA+ cascade (models/tla) models contagion at the system-tier level instead.

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