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

2019-04-25 · 65/93
ClassInterest computedInterest reportedPrincipal computedPrincipal reportedΔ
1-A130,787.7330,787.73215,961.41215,961.410.00
1-AX45,693.0245,693.03——0.01
2-A192,984.6492,984.64150,007.22150,007.220.01
2-AX90,837.7790,837.77——0.00
B-123,013.0523,013.0537,639.5937,639.580.01
B-215,342.0315,342.0325,093.0625,093.060.00
B-310,379.2310,379.2316,976.0216,976.020.01
B-47,671.027,671.0212,546.5312,546.530.01
B-512,684.9312,684.920.000.000.01

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.