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: data modeling, scenario management, risk engine, and Bayesian networks.
Find out more about our Operational Risk Management solution.
The product enables the quantification of risk exposure by using modeling techniques on internal, public, and consortium loss data.
The quantification of risk exposure can be accomplished through scenario analysis approach, which integrates the severity and frequency of events.
The risk engine calculates the value-at-risk (VaR) and capital-at-risk (CaR), and includes Monte Carlo simulations, predefined probability functions, and insurance policies management.
Bayesian networks - option
Complex operational risk modeling and scenario calculation combine expert evaluations with existing and internal loss data.