Resources
Product briefs you can forward, practical guides to the rules and the calendar, white papers and articles on the problems behind XVA, capital and counterparty risk, and case studies on the use cases Norma is built for.

Pre-trade XVA impact and capital-aware quotes. What it does, how it is delivered, what sits on the platform. Two pages.
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SA-CVA, BA-CVA, SA-CCR and KVA. What it does, how it is delivered, what sits on the platform. Two pages.
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PFE, limits, what-if and stress. What it does, how it is delivered, what sits on the platform. Two pages.
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VaR, drilldown and attribution, live. What it does, how it is delivered, what sits on the platform. Two pages.
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For heads of capital and risk planning the next two years: every date that changes a derivatives bank's capital or counterparty-risk obligations, by jurisdiction, with what each one demands of the engine.
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For heads of counterparty risk and XVA desks: why exposure, limits and XVA should come from one simulation, how to run what-if and shocks on the live book, and what supervisors expect to see when markets move.
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For sales and XVA desks: the three costs a quote on an uncollateralised trade has to carry, why many desks still call the XVA desk, and what an engine must do to put the XVA impact in the quote.
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For heads of counterparty risk: the ECB's 43 sound practices, the 2025 exploratory scenario exercise and the Archegos lesson, translated into what the exposure engine has to do before the trade and when markets move.
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For investment managers, insurers and corporates: IFRS 13 puts CVA and DVA in every fair value, and every bank quote already carries XVA. What each kind of institution needs, and why it is accounting and transparency, not capital.
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For XVA desks and sales: lifetime capital is a real cost of a derivative. What SA-CCR and KVA at the point of trading require, why many desks price capital by rule of thumb, and what changes when it is in the quote.
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For heads of capital: why many banks chose BA-CVA, when it costs them capital, when SA-CVA is not cheaper, what the published impact figures say, and how to settle it on your own book within days.
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For quants and capital teams: the arithmetic that made CVA sensitivities a project rather than a run, what changed, and the four things a bank can do once full sensitivities are routine.
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For heads of market risk: the P&L attribution test decides internal-model approval, desk by desk. Why it is an alignment problem between the risk model and the front office, and where live aggregation helps.
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For XVA desks and trading technology: one XVA calculation for pricing, hedging and risk, in near real time, replacing the overnight batch and the three sets of numbers that come with it.
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For XVA desks and capital teams: CVA sensitivities to every risk factor on the whole book, every day, so the desk hedges CVA instead of watching it, and the SA-CVA application is made on the book's own numbers before the 2027 deadline.
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For heads of counterparty risk: PFE, limit usage and SA-CCR exposure a trade adds to its netting set before it is booked, and the same exposures re-run under stress when markets move, as supervisors now ask.
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For heads of market risk and risk technology: full-portfolio VaR and expected shortfall re-aggregated on demand on the P&L vectors the bank already produces, and FRTB standardised capital by desk from the sensitivities, recomputed as the book changes.
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For corporates, energy and commodity firms: an independent XVA to check bank quotes against as the CVA capital exemption for corporates ends, CVA and DVA for IFRS 13 fair value, and counterparty exposure across the hedging book where credit terms and margining drive the cost of hedging.
Preview and request the PDFThe models validated against reference implementations, and the measured timings behind the three published numbers.
RequestSampleWhat the Capital Study delivers, shown on a synthetic rates and FX book: both approaches side by side, hedge benefit and attribution by netting set and counterparty.
RequestChecklistTrades, netting and CSA terms, credit inputs and the market-data snapshot, one as-of date, so the study can start the day the files arrive.
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