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

2020-06-25 · 79/93
ClassInterest computedInterest reportedPrincipal computedPrincipal reportedΔ
1-A120,286.2820,286.28927,143.03927,143.040.01
1-AX29,430.4629,430.51——0.05
2-A171,783.3371,783.33972,380.86972,380.860.01
2-AX70,471.8570,471.78——0.07
B-118,627.2318,627.23150,656.26150,656.260.01
B-212,418.1612,418.16100,437.51100,437.510.00
B-38,401.178,401.1767,948.2667,948.260.01
B-46,209.086,209.0850,218.7550,218.750.01
B-512,651.9512,651.960.000.000.01

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.