Nowadays, companies are dealing with an environment that, year after year, becomes more and more complex. The ability to predict the scenario volatility plays a key role in resource allocation. Reactive approaches to events, however, are not enough. Today, with the current data capabilities, we can generate quantitative models to anticipate risks and events.
A quantitative approach allows a company to focus efforts and allocate resources to key priorities. The link between business, operational, financial, compliance risks and business objectives highlights the correlation between key performance indicators and major risks.
The identification of key risk factors is based on objective elements, statistically validated and stressed through advanced measurement techniques.
The AFS Dynamic Risk Management (DRM) is based on the use of advanced quantitative modeling techniques, leveraging on: