Waterfall Forensics.

Waterfall Forensics

We ran the contract forward for eight years. It matched to the penny.

Sequoia Mortgage Trust 2013-1: deconstructed from its prospectus into an executable encoding, then replayed against every monthly distribution the trustee ever reported — 93 periods, February 2013 through final termination.

$363M

of actual distributions reproduced

99.7%

of 2,139 comparisons within $1

$0.08

worst principal delta, ever

Every period, every class — computed from the contract vs. reported by the trustee

2017-07-25 · 44/93
ClassInterest computedInterest reportedPrincipal computedPrincipal reportedΔ
1-A152,417.3852,417.382,272,913.932,272,913.930.01
1-AX76,967.7076,967.66——0.04
2-A1124,550.90124,550.90177,909.34177,909.340.00
2-AX122,923.08122,923.14——0.06
B-126,340.7726,340.7731,820.2531,820.250.00
B-217,560.5117,560.5121,213.5021,213.500.00
B-311,880.0911,880.0914,351.4114,351.410.01
B-48,780.268,780.2610,606.7510,606.750.00
B-512,690.1812,690.180.000.000.00

drag through 93 distribution dates — Δ is the summed absolute difference between the contract-computed and trustee-reported figures for the period

Or see all 93 periods at once: the tie-out heatmap ›

How

The governing documents are deconstructed into a provenance-linked encoding — every waterfall step, trigger, and floor provision cites the clause that defines it. A deterministic interpreter executes that encoding, period by period, against the collateral cashflows the trustee reported. State rolls forward on computed values only; an error anywhere would compound and surface. It doesn't.

The same engine then runs Monte Carlo counterfactuals — what should have happened under different prepayment, default, or servicing behavior — and exports the whole model as readable Python your own analysts run and defend. Every encoding is open to clause-by-clause verification, and every verification lands in an append-only ledger.