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Norma Market Risk

VaR, expected shortfall and attribution.
Any desk, any filter, live.

Overnight aggregation answers the questions anticipated the night before. Norma Market Risk re-aggregates the full portfolio on demand, so any question is answered in real time.

Real time
re-aggregate tens of millions of transactions
Any desk, dimension or filter, on demand
Any dimension
drilldown to desk, book, trader or underlying
Contribution to VaR and expected shortfall at each level
Same vectors
VaR, expected shortfall and the FRTB attribution tests
One set of P&L vectors, no reconciliation between risk and regulatory numbers

Scope

Your P&L vectors

Bring the vectors your existing engine produces; your models stay in place and the aggregation is live.

Drilldown on any dimension

Desk, book, trader, product, currency, counterparty, any dimension and any filter, recomputed in real time on a perimeter of tens of millions of transactions.

VaR, expected shortfall, attribution

VaR, expected shortfall, standalone and incremental measures, P&L attribution and explain; FRTB standardised-approach capital by desk and risk class from the sensitivities, with the default risk charge and the residual risk add-on; the internal-model aggregation across liquidity horizons and the attribution tests on the same vectors.

Scenarios, live

Drill down to the underlying, in real time

VaR and expected shortfall by book, desk and underlying, each with its contribution, recomputed as you move through the hierarchy.

  • Book, desk, underlying or any dimension
  • Contribution to VaR and expected shortfall
  • Live, not overnight
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Drill into the book hierarchy and rank the top underlyings by VaR, with each one's contribution to VaR and expected shortfall

Curves and scenarios in one place

Zero curves by currency as of any market date, with the shock scenarios that apply to them, shared with pricing, capital and exposure.

  • Any currency, any date
  • Scenarios saved and reused
  • Same data as every module
Integrations
Plot live-bootstrapped zero curves for several currencies and indices side by side for a given market date

Day on day, by asset class

Two close-of-business dates, side by side

VaR and expected shortfall grouped by asset class across two dates, with a currency filter; the history of any book sits above its drill-down.

  • Which desk moved and why
  • Same vectors as the attribution tests
  • Export for the report
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VaR and expected shortfall grouped by asset class, comparing two close-of-business dates, with a currency filter applied

The history, then the drill-down

VaR over time for a selected book, with the sub-books underneath; a day that stands out is one click from its underlyings.

  • Any book, any date range
  • Drill-down below the chart
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VaR over time for a selected book, shown above the drill-down into its sub-books

FRTB, both approaches

The standardised approach from the sensitivities: capital by desk and risk class, with the default risk charge and the residual risk add-on, recomputed as the book changes. The internal-model approach from the P&L vectors: expected shortfall aggregated across liquidity horizons, and the attribution tests at desk level.

FRTB applies in the EU from 2027, in the UK from 2027 for the standardised approaches and 2028 for internal models, and in the US on a date still to be set. Standardised-approach capital from the sensitivities, and desk-level expected shortfall and P&L attribution tests on the same vectors as VaR, on your own book.

Your own P&L vectors, aggregated live, in a demo.

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Get in touch

Request a demo on your own trades, or just talk to us.