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Stress Lab

The full $281.4B book, repriced slice by slice: 140 verified named slices at their disclosed par and internal rating, plus the undisclosed remainder as sector × rating-band cells. No scaling from the CUSIP tape, no single opaque multiplier. Guaranty claims are non-accelerated — losses emerge as scheduled debt service comes due, so every scenario converts ultimate loss to present value over each slice's remaining life before it touches equity.

Scenario presets

S&P definitions: AA severe = GDP −15%, unemployment 20% · AAA extreme = Great Depression rerun.

Model dials

Severity scales the idiosyncratic overlays on named stressed credits. Discount prices the non-accelerated claim stream.

Balance-sheet assumptions (advanced)
Stressed ABV per share
vs current share price
Claims-paying resources ÷ stressed ultimate loss
Stressed ultimate loss, full book

Equity bridge

Adjusted book value absorbs the after-tax present value of incremental stressed losses — incremental over the $321M already reserved.

Loss by book slice

The $281.4B book tiled exactly: verified named slices plus residual sector × band cells. Rates are % of slice par.

Loss rates by rating band

Base rates are calibrated so the book's base-case loss equals AGO's disclosed $192M expected loss. Scenario rates = base × multiplier, capped at sector LGD. Multipliers are judgment — the table is the model.

Top contributors

Named exposures driving the stressed loss. verified = par and rating re-extracted from the filed 2Q26 supplement. overlay = a judgment-based idiosyncratic loss rate floors the band rate. judgment = analyst assumption, not disclosure.

How the lab works — and what it doesn't do

1. Stratified book, no scaler. Every dollar of the $281.4B book sits in exactly one modeled slice: 140 named slices (138 credits; Palomar Health and University of Essex split into BIG slice + remainder so nothing is double-counted) at verified net par and AGO internal rating, plus 13 residual sector × rating-band cells computed as the book's published stratification minus named par. The CUSIP tape ($38.66B original issue par) is documentation of indenture coverage, not a loss input — it is never scaled and never conflated with net par.

2. Calibration, not assumption. The base case reproduces AGO's own booked number: per-band base loss rates are set so the book's base ultimate loss equals the disclosed $192M net expected loss to be paid (2Q26). Only the distribution across bands uses judgment (relative risk weights: AAA 0.05, AA 0.15, A 0.5, BBB 1.5, BB 8, B 25, CCC 60). The calibration is shown in the band table — it is not tuned to produce any particular share price.

3. Stated scenario multipliers. Stress scenarios multiply base rates per band (see band table), capped at sector LGD × 0.98. LGDs are judgment: US public finance 35%, non-US 45%, structured 60%. The multipliers are the model's explicit stress view — change the scenario, read the table, see exactly what moved.

4. Idiosyncratic overlays (judgment). Five named stressed credits carry judgment ultimate-loss rates that floor the band rate, scaled by the severity dial: Brightline 30% (2Q26 transcript: liquidity pressure, proactive creditor talks), PREPA 30% (restructuring unresolved), Thames Water 15% (special-administration tail risk), Palomar BIG slice 25% (forbearance), Westchester Medical 12%. AGO discloses expected loss only at book level — every name-level allocation here is analyst judgment, labeled as such.

5. Non-acceleration. Guaranty policies pay scheduled debt service, not lump sums. Ultimate loss converts to present value as a level annuity over each sector's assumed remaining life — US public finance 14y, non-US 12y, structured 7y (judgment) — discounted at the claims discount rate: PV = L × [1 − (1+d)^-T] / (d·T). This is timing, not an instant par hit.

6. Share price. Stressed ABV = ABV − (book PV loss − already-reserved $321M) × (1 − tax). Divided by shares outstanding. The $321M is the PV of net expected loss to be expensed (2Q26); tax is stylized at 21%.

Presets. Base = AGO's booked expectation (severity 0%). Great Recession replay: unemployment 10%, GDP −4%, home prices −30%. S&P AA (severe) and AAA (extreme) per S&P Global Ratings Definitions (Oct 2024): AA envisions GDP declines up to 15%, unemployment up to 20%, equities −70%; AAA is a Great Depression rerun — real GDP −26.5%, unemployment peaking at 24.9%. S&P affirmed AGO at AA in July 2026 noting capital adequacy redundancy above the AAA stress level — this lab lets you check that claim yourself.

Coverage & limits — read before quoting a number

Named coverage is ~34%, not 100%. 138 named credits ($94.7B) carry verified par and rating from the filed 2Q26 supplement. The remaining $186.7B is modeled as undisclosed granular residual by sector and rating band — stratification, not omniscience. Private/144A names (JFK New Terminal One, Brightline) and non-US exposures have no public indenture by structure; they are disclosure records, not tape gaps.

The tape is original-issue par. The 2,413-CUSIP tape totals $38.66B of original issue par. It is not current AGO net par, it is not a loss input here, and the two are never added or compared.

Name-level losses are judgment. AGO discloses expected loss only at book level ($192M to be paid; $321M PV to be expensed). Every allocation to a named credit — band rates, multipliers, overlays — is analyst judgment. The model cannot see AGO's non-public surveillance, reinsurance recoveries in detail, or future refundings.

Scenario analysis, not a forecast. Not investment advice. Multipliers, LGDs, remaining-life and overlay assumptions are stated above so you can disagree with them precisely.

What the extreme scenario means for the rest of the world — and what AGO can do about it

The AAA (extreme) preset is S&P's Great Depression rerun: real GDP −26.5%, unemployment peaking at 24.9%. A municipal default wave on that scale does not happen inside a functioning credit system. It happens in a world where no commercial bank survives in its current form, money markets freeze, and the Treasury and Federal Reserve intervene at a scale beyond 2008. In that world, AGO's modeled $9.05B ultimate loss would be a symptom of a systemic collapse, not the story. The honest question is not whether the equity survives the loss, but what the guarantor's position looks like in the world that produces it.

A guarantor is not a bank. A bank dies from a funding run; AGO cannot have one — no deposits, no repo, no commercial paper. Policies pay scheduled debt service as it comes due (non-accelerated), so a $9B ultimate loss arrives as a stream spread over decades, funded from claims-paying resources and investment income, not as a single draw. After paying a claim, AGO subrogates to the bondholders' position and recovers in the restructuring. And stress is historically when the franchise strengthens: AGO survived 2008 with its ratings and wrote new business at crisis-era pricing in 2009–2011. The same credit freeze that breaks a bank's balance sheet reprices the guarantor's product upward.

The mitigation playbook is precedented, not hypothetical — it is what the company has done before:

  • Buy back its own insured bonds at distressed prices — disclosed loss-mitigation purchases, done at scale on stressed exposures including Puerto Rico. Buying a dollar of par at 60 cents extinguishes a dollar of exposure.
  • Commute policies at a discount to expected loss.
  • Work out troubled credits — amendments, forbearance, restructurings. The Brightline forbearance process is a live example.
  • Litigate recoveries — the billion-dollar RMBS putback recoveries from Bank of America and others are the precedent.
  • Collect the $3.57B net unearned premium reserve, which earns into income over the life of the book regardless of claims.

In extremis, AGO can buy reinsurance or stop writing business and run off the book while returning capital — the "shut the lights out" option. Mitigation compresses losses; it does not erase them. At AAA-extreme, claims-paying resources cover stressed ultimate loss only 1.1× — solvent on paper, with no margin if the path is worse than the endpoint. And the market prices the path, not the endpoint: the equity would trade at a deep discount to stressed ABV long before $9B of losses actually materialized. The table shows the math at the end of the stress; it does not show the mark-to-market violence of getting there.