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

2019-11-25 · 72/93
ClassInterest computedInterest reportedPrincipal computedPrincipal reportedΔ
1-A126,618.7626,618.76747,336.45747,336.450.01
1-AX39,738.7739,738.79——0.02
2-A187,065.7587,065.75924,097.93924,097.930.01
2-AX84,857.1984,857.17——0.02
B-121,667.6621,667.6690,241.4490,241.430.01
B-214,445.1114,445.1160,160.9660,160.950.01
B-39,772.449,772.4440,700.2640,700.260.01
B-47,222.557,222.5530,080.4830,080.480.00
B-512,693.7112,693.700.000.000.01

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.