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

2018-03-26 · 52/93
ClassInterest computedInterest reportedPrincipal computedPrincipal reportedΔ
1-A138,582.6638,582.66710,137.18710,137.180.00
1-AX56,313.9456,313.98——0.04
2-A1110,812.96110,812.96468,298.95468,298.950.01
2-AX109,011.46109,011.42——0.04
B-125,470.9525,470.9557,529.0957,529.080.01
B-216,980.6416,980.6438,352.7238,352.720.01
B-311,487.7911,487.7925,946.4925,946.490.00
B-48,490.328,490.3219,176.3619,176.360.00
B-512,662.7912,662.800.000.000.01

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.