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

2021-07-26 · 92/93
ClassInterest computedInterest reportedPrincipal computedPrincipal reportedΔ
1-A113,480.1213,480.12531,387.66531,387.660.00
1-AX18,515.6618,515.66——0.00
2-A125,570.8925,576.042,824,149.902,824,149.895.15
2-AX25,101.3425,106.38——5.04
B-19,040.069,037.39411,404.23411,404.242.68
B-26,026.716,024.93274,269.49274,269.491.78
B-34,077.214,076.00185,549.55185,549.551.21
B-43,013.353,012.46137,134.74137,134.750.90
B-512,266.9212,263.280.000.003.64

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.