Deterministic pricing. Exact Greeks.
Zero simulation noise.

A next-generation pricing and risk library for path-dependent derivatives. We replace Monte Carlo regressions with finite operator propagation — exact prices and deterministic Greeks, with mathematically auditable error bounds.

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The problem

The Monte Carlo compromise

Standard pricing engines force a choice: inflexible PDE grids that fail beyond three dimensions, or Monte Carlo simulations that inject computational noise into every Greek and every backtest. That noise masquerades as signal — and it can let misspecified models pass the very tests built to catch them.

The method

Finite operator propagation

Spectral Measure decouples the model's physics from the contract's logic. We project the generator onto a finite basis and evolve continuation values by exact matrix multiplication.

Deterministic Greeks

Differentiate the expansion — don't bump-and-reprice. No simulation variance in your sensitivities.

Clean architecture

Adding a barrier or an autocall is finite-state bookkeeping, not a new pricing algorithm.

Auditable bounds

Where approximation is needed, the residual is mathematically bounded and reported — not hidden.

The proof

Backed by rigorous, verified research

The mathematics powering Spectral Measure is documented in open-access research. Core results are formally verified in the Lean 4 proof assistant.

The Projected-Generator Method for Path-Dependent Derivative PricingLean 4 verified Zenodo →
Exact Portfolio VaR Without Monte Carlo: The Eigen-COS MethodLean 4 verified Zenodo →
Contaminated by Construction: Separating Simulation Noise from Model Risk in ES BacktestsLean 4 verified Zenodo →

Lead gen

Upgrade your risk architecture

Designed for integration into modern quant funds and systematic risk teams. Pricing, risk, and model-validation engagements welcome.

contact@spectralmeasure.com