SaaS based, machine learning risk management platform that is capable of accurately predicting the likelihood of a multi-variate extreme event occurring, together with the associated magnitude of that predicted event using nonstationary time-series data.
The platform allows for any number of adaptable business configurations to be overlaid to manage specific industry risks and produces outstanding results, 6-7 times more accurate and faster than classical risk models based on stationary data.
Leveraging different data sources as inputs such as text, images, tabular and time-series data, the engine can efficiently extract extreme value information from the underlying inputs and make future predictions about upcoming extreme events.
Applicability of the 4-Xtra Extreme Forecasting Engine is extremely wide ranging in financial services alone, with proven use cases such as:
Trading – Forecasting individual stocks, indexes, alternative assets and currency movements
Portfolio Management – Optimisation and improved performance
Lending – Forecasting events to enhance and improve credit decision making and repayment delinquency rates
Insurance – Predicting probability of claims to enhance risk pricing