Hyper Rig’s Risk Engine allows users to visualise aggregated risk positions across any dimension (whether market risk, counterparty risk, credit risk, liquidity risk) to reveal comprehensive risk exposures taken by individual portfolio managers or business units and understand how those risks are interlinked. Users can then slice and dice data from enterprise-wide aggregated risk exposures down to trade level for a timely monitoring of risk to:

• Monitor Real-Time P&L.
• Compute and maintain an accurate view of risk exposures and sensitivities.
• Carry out what-ifs analysis in real-time at trade/book/portfolio/business line level according to user-defined scenarios in order to review the impact of a particular trade or group of trades on the key sensitivities of a book.
• Perform for example a full Monte Carlo VaR in minutes instead of hours to assess how a trade will impact portfolio risk positions on a pre-trade basis.
• Estimate current as well as potential exposures on a pre-trade basis.
• Stress test any risk factor of combination of risk factors (any variable whose value will affect the valuation of the book such as interest rate, index, oil price etc.) and assess in real-time the impact of any market event.
• Monitor trading limits in Real-Time.

A flexible ad-hoc scenario builder enables users to stress a given portfolio or group of portfolios.

Hyper Rig is a powerful simulation platform that interfaces either proprietary models or clients’ pricing and analytics models.

In any case models are used in a transparent and auditable way with clearly-stated inputs and assumptions that can easily be stress-tested and calibrated thanks to the performances of the system.