We have been contracted by Risk Data Science on multiple projects, namely:
A wide variety of areas - from weather to operational losses in companies to financial markets - are characterized by the occurrence of random events.
Here, it is often the extreme events that are decisive - like whether a company survives an economic crisis or a dike survives a flood.
A quantitative assessment of extreme events is hence of crucial importance, especially for risk management.
However, this is complicated since there is often little data available. Hence, AI methods are hardly applicable and traditional statistics often fail.
A remedy for this is the Extreme Value Theory, which allows the quantification of extreme events for a wide range of cases.
This app enables convenient extreme value analyses based on uploaded data to get a sense of possible extreme events.
Here is a random example of some of our work.