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MX.3 Analytics

Sometimes an example captures it all

A recent client rollout of our latest analytics led to a threefold increase in traded volume of their most popular structured products in less than six months. Revaluation time was cut by 90% with considerably improved accuracy including the calculation of an additional ten sensitivities accounting for calibration to spot/vol dynamics.

In a world of growing complexity, even for vanillas, these are the kinds of improvements that our MX.3 analytics library can deliver. Whether clients need to account for complex underlying dynamics, build-in real time CVA charges or price and risk manage complex payoffs with a low TCO, MX.3 sets the standard. Clients can also add bespoke products and analytics, fully benefiting from the platform’s underlying lifecycle and risk management capabilities.

Reduce the cost of model validation

To stay ahead of the competition, banks are looking for a model validation solution that can minimize model risk and validation cost, reduce time to market and enable compliance.

MX.3 provides both the analytics and the tools to speed-up model validation. It includes flexible and customizable tests scripted within python notebooks and an automated model validation framework.

If you wish to learn more about our model validation solution, please download the flyer here.

Advanced curve management

Faced with rising regulatory pressure and volatility, financial institutions are applying new curve building methods to more accurately price trades. Today, both front office and risk teams need flexible risk projection methods.

MX.3 for Rate Curve Management enables flexible curve design based on a wide variety of instruments. It delivers advanced calibration and interpolation methods and includes packaged best practices for curve representation.

To learn more, please download the flyer.

Navigate LIBOR discontinuation and benchmark reform

The LIBOR reform has become a big concern for many in the capital markets with changes set to have a fundamental impact on business. In order to meet the approaching deadline, early preparation is key.

MX.3 supports new indices, instruments, curves, emerging valuation practices and transition events, ensuring that Murex clients across the globe are prepared for the LIBOR discontinuation and benchmark reform. It allows users to trade new RFRs immediately and includes powerful impact analysis tools to manage the transition of contracts and positions.

For further information about Murex’s solution for LIBOR reform, please download the flyer.

  • Leverage industry best practice

    Cross asset exotics
    MX.3 packages more than 300 exotic payoffs valued by state-of-the-art models, delivered with full transparency on assumptions and methodology.

     

    A unique integration of trading and modern risk management
    Vanilla and exotic payoffs produce CVA/xVA based on a robust and efficient multifactor hybrid model calibrated to risk-neutral or real-world measures.

  • A benchmark for speed

    MX.3 does not sacrifice accuracy for speed. It combines the best techniques to meet each performance challenge while minimizing the hardware footprint.

     

    Examples include highly optimized algorithms by asset class for positions and risk aggregates; optimized calibration routines, adaptive PDE mesh or Monte Carlo time-stepping for high speed convergence up to second order Greeks; valuation models are GPU-enabled and the platform supports multicore architecture and HPC algorithms e.g. for computation of initial margins.

  • Simple and fast evolution

    The MX.3 scripting language can deliver a new payoff to your product library within hours to capture a trading opportunity. Custom analytics such as yield curve bootstrapping, volatility calibration, trade valuation can be embedded at every stage of the calculation chain. New calculation chains can be created and user defined sensitivities can be added.

     

    Customers extending the product range automatically benefit from the platform parallelization on clusters and grids, caching and generic risk functionality for improved time to market. They leverage a programming model designed to safeguard TCO and upgradability.