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

2015-06-25 · 19/93
ClassInterest computedInterest reportedPrincipal computedPrincipal reportedΔ
1-A196,422.2296,422.222,347,456.112,347,456.110.01
1-AX139,696.39139,696.40——0.01
2-A1206,872.75206,872.754,159,570.384,159,570.380.01
2-AX206,636.32206,636.36——0.04
B-128,599.4928,599.4927,930.3927,930.390.01
B-219,066.3319,066.3318,620.2618,620.260.01
B-312,898.8012,898.8112,597.0312,597.030.01
B-49,533.169,533.169,310.139,310.130.01
B-512,691.8012,691.810.000.010.02

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.