Credit Enhancement & Loss Distribution

This page maps the protection layers beneath USD3 and the loss distribution they sit on. Warehouse and forward-flow programs have had little prior history in DeFi, so their risks have rarely been mapped out in this context — this is that map.

Layers of credit enhancement

Cash flowing to USD3 sits behind a stack of protection that absorbs losses in order:

1. Pool excess spread — the net yield each vintage generates over its life, before any principal is impaired.

2. Originator first-loss equity — the originator's own capital beneath 3Jane (e.g. a 25% first-loss slice → 1.33x overcollateralization).

3. Overcollateralization (OC) — the eligible borrowing base exceeds the drawn balance; tested on a schedule (e.g. weekly).

4. Reserves & performance triggers — cash reserves and covenant triggers that trap cash or accelerate amortization if performance deteriorates.

5. sUSD3 subordination — the junior tranche absorbs losses before USD3 at the 3Jane capital-stack level.

Why granularity matters

• Single-name corporate credit is bimodal: most loans pay at par, but a default jumps to restructuring-level loss severity.

• A granular SMB / consumer pool of ~3,000 obligors is tight around expected loss, because each obligor can fail independently.

• Expected loss can be similar across the two; the shape — and therefore the risk we are paid for — is completely different.

Same expected loss, very different distributions. With 30 obligors, unexpected loss is wide and fat-tailed; with 3,000 obligors the distribution collapses to a tight spike and standard deviation falls by roughly two orders of magnitude.

At a 5% annual default probability and 50% LGD, expected pool loss is 2.5%. But the standard deviation of pool loss falls from ~2 percentage points at N=30 to ~0.2 percentage points at N=3,000. Diversification compresses idiosyncratic risk first; correlation risk is then handled at the structuring level.

This is how the public ABS market routinely rates granular SMB and consumer receivables pools to investment grade. Sources: OnDeck Asset Securitization Trust IV, Series 2023-1 (KBRA, July 2023); Affirm Asset Securitization Trust 2024-B (DBRS Morningstar, September 2024).

How structuring compresses the tail

Capital stack on a per-vintage basis. Each cohort's net yield absorbs losses before any principal is impaired; the junior tranche absorbs anything beyond that; the senior takes losses only after both layers are exhausted. Markers show realised pool loss, the worst vintage in the book, and the senior break point.

On the receivables book 3Jane underwrites, cumulative charge-offs sit around 1% of disbursed principal. The worst single vintage came in around 4.5%, and seasoned vintages collectively run under 2%. A facility example with ~4% of yield cushion and a 15% junior tranche puts USD3 / senior first-dollar principal loss at roughly 19% cumulative pool loss per vintage.

Correlation: borrowers failing together

To model correlation risk, the structure was pressure-tested with a single-factor t-copula (ν = 10, fatter-tailed than Basel's standard Gaussian framework) at three intra-pool correlation regimes: ρ = 5% (benign), ρ = 15% (Basel's SMB base case), and ρ = 30% (GFC-equivalent correlated stress).

The senior tranche holds up across the relevant range. The 99th-percentile pool loss — a once-a-century outcome — sits at 11.0% (benign) and 14.5% (moderate), well within the junior tranche. Even at GFC-equivalent correlation it reaches just 19.9%, right at the senior break. The senior takes meaningful losses only in the 1-in-1,000 tail combined with GFC-equivalent correlated stress.

Propagation from pool loss to tranche P&L, scenario by scenario. The senior is untouched until pool losses on a vintage cross ~19%; the junior is paid for absorbing everything in between.

Target yields and loss figures are illustrative and based on the historically observed performance of the receivables book 3Jane underwrites. They are not guarantees — realised losses, correlation, and recoveries can differ. See Risks for protocol-wide risk factors.