With MEGA Quantification and Analytics, you can measure the company risk exposure and provide reliable and detailed information to help executives make decisions about corporate priorities.
MEGA Quantification and Analytics overview
MEGA Quantification and Analytics enables the creation of scenarios, simulations, calculations and operational risk models to provide accurate and reliable information on the company risk exposure level.
This is particularly essential for banks and insurance companies that must adhere to the Basel II and Solvency II regulations, which require alignment of capital reserves with potential risks.
MEGA Quantification and Analytics includes different approaches to quantify risks that can be used independently or together, depending on the context: probability distribution functions, a Monte Carlo engine, and Bayesian networks.
The underlying platform enables information sharing and data exchange with the other tools in the MEGA Suite.
More about our Enterprise Risk Management solution More about our Operational Risk Management solution
Main features
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Scenario modeling
The definition of risk scenario modeling for analysis includes the ability to show risk interdependencies at different levels. You can define coefficients of risk reduction for each control and associated mitigation plans.
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Probability distribution functions
The definition and execution of scenarios with predefined probability distribution functions integrates historical data and expert evaluations, as required.
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Monte Carlo engine
The Monte Carlo risk engine for analysis includes simulations and capital-at-risk (CaR) calculations.
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Bayesian networks - option
Complex operational risk modeling and scenario calculation combine expert evaluations with existing and incomplete data in the form of probabilities.
