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

2015-01-26 · 14/93
ClassInterest computedInterest reportedPrincipal computedPrincipal reportedΔ
1-A1110,008.49110,008.493,556,158.703,556,158.700.00
1-AX160,026.70160,026.77——0.07
2-A1248,135.52248,135.52957,667.10957,667.100.01
2-AX249,233.61249,233.55——0.06
B-129,089.5029,089.5026,968.0226,968.030.01
B-219,393.0019,393.0017,978.6817,978.680.00
B-313,119.8113,119.8112,162.9912,162.990.01
B-49,696.509,696.508,989.348,989.340.00
B-512,723.9912,724.010.000.000.02

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.