PRIIPs Calculations for Asset Managers: Navigating Performance Scenarios and SRI

PRIIPs Performance Scenarios and SRI Calculations for Asset Managers

PRIIPs performance scenario calculations were never as straightforward as the regulation initially made them appear. Even after the methodology changes introduced under the revised PRIIPs RTS, firms still face a surprisingly large number of judgement calls around data usage, hidden assumptions...

RiskConcile has been involved in PRIIPs KID production since the regulation came into force in 2017. When the original framework introduced highly formula-driven performance scenarios, we already had the infrastructure in place to support them. When the revised methodology shifted towards more investor-friendly calculations, the transition was equally straightforward.

Part of that comes from our longstanding relationship with the mathematics department at KU Leuven. PRIIPs calculations are ultimately mathematical models wrapped inside a regulatory framework, and small methodological differences can materially affect the numbers investors see in a KID.

That becomes particularly relevant in areas such as:

• products with non-linear return profiles, also known as Category 3 products.
• limited historical data sets,
• illiquid or infrequently priced assets, such as private equity/debt vehicles (also known as category 1products)
• and alternative investment strategies.

For AIF and private equity PRIIPs KID production, standard listed-fund approaches are often insufficient. Irregular pricing, smoothed valuations, and the absence of continuous market data require more tailored methodologies, both for performance scenarios and for the Summary Risk Indicator (SRI).

Why the SRI Calculation Matters

The SRI is one of the most visible figures in a PRIIPs KID, but the underlying calculation is often misunderstood. The methodology combines:

• a Market Risk Measure (MRM),
• derived from the VEV calculation,
• together with a Credit Risk Measure (CRM).

In practice, the outcome can be highly sensitive to volatility and historical data treatment. This is particularly true for products with asymmetric or illiquid return profiles.

From the beginning, RiskConcile approached PRIIPs calculations with a focus on methodological transparency. Clients receive not only the outputs, but also visibility into the underlying assumptions, data sources, and calculation logic. That makes discussions with risk teams, compliance officers, auditors, and regulators significantly easier when questions arise around validation or methodology choices.

From Standalone Calculations to Full PRIIPs Production

Some firms use RiskConcile specifically for PRIIPs performance scenario and SRI calculations while keeping the rest of the production process internal.

Others use the broader production framework covering:

• PRIIPs KID generation,
• EPT production,
• EMT reporting,
• CEPT files,
• and wider regulatory data workflows.

The platform is designed to support both traditional asset managers and more complex alternative investment structures where off-the-shelf PRIIPs tooling tends to struggle.

If PRIIPs calculations are becoming operationally difficult, whether because of methodology complexity, data quality concerns, or scaling challenges, we'd be happy to walk through how other firms are approaching the problem.