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

2018-11-26 · 60/93
ClassInterest computedInterest reportedPrincipal computedPrincipal reportedΔ
1-A131,971.6731,971.67178,279.54178,279.540.01
1-AX47,452.5947,452.63——0.04
2-A1100,900.75100,900.75806,350.66806,350.660.00
2-AX99,019.7099,019.74——0.04
B-123,957.1023,957.1150,703.5150,703.500.01
B-215,971.4015,971.4133,802.3433,802.340.01
B-310,805.0210,805.0222,868.0522,868.050.00
B-47,985.707,985.7016,901.1716,901.170.00
B-512,703.1212,703.120.000.000.00

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.