What is Margin-at-Risk — and why it is not the same as Value-at-Risk

Value-at-Risk (VaR) is a statistical measure built for financial portfolios: given a distribution of historical returns, how much could a position lose over a given period, at a given confidence level. It's a well-established concept — and it doesn't map cleanly onto a trading or distribution business, which is why applying it directly to commercial operations usually produces a number nobody trusts.

A different question

Margin-at-Risk asks a more direct, more operational question: given the receivables, payment terms, FX exposure, freight and customer concentration actually on your books right now, how much of forecasted gross margin is exposed to plausible commercial shocks — a payment delay, a currency move, a shipment disruption, a customer concentration event?

It isn't a statistical distribution over historical returns. It's a scenario-based figure, built from your own trade documents and validated by an analyst, that management can act on directly.

Why the distinction matters

A VaR-style model assumes liquid, tradeable positions and a return distribution. A commercial business has neither — it has invoices, contracts, and customers with names and payment histories. Margin-at-Risk is built for that reality: traceable to source documents, deterministic rather than probabilistic, and expressed in the language a CFO already uses — gross margin, DSO, exposure by counterparty — rather than confidence intervals.

How it's used

Board decisions rarely need a statistical confidence interval; they need to know which specific drivers are eroding margin and what a defined scenario would cost. That's the report a Margin-at-Risk diagnostic produces — see the Product page for how the calculation itself is structured.