The current application of Artificial Intelligence for financial sector is directed towards analysis of user data, understand the logic inherent in the person and his behavior, such as flow analysis, behavioral pattern research, identification of habits, risk appetite among others.
ULTRA TO STUDY THE WHAT-IF SCENARIOS
The unique capacity of ULTRA to study the what-if scenarios is combined with high accuracy of default rate forecasting based on payment history and external conditions.
PERFORMANCE OF SECURITIZATION PRODUCTS
New global Securitization issuance was worth $1 trillion in 2018. In the US new issuance in 2018 was estimated for ca. $700 Billion, which is 3-4% of US GDP. Securized products represent approximately 25% of the $40 Trillion US debt market, which amounts to 50% of the US GDP. Delinquencies and defaults in payments caused the global crisis in 2007-2008.
The performance of the underlying credits could be too large extend forecasted. To resolve and win this challenge, ULTRA was loaded with histories of 400,000 individual credits for Spanish market. The dataset was supplemented with macroeconomic parameters. An accuracy of 99% for individual credit default has been attained.
The unique capacity of ULTRA to study the what-if scenarios is combined with high accuracy of default rate forecasting based on payment history and external conditions. This provides the unique opportunity to study the performance of Securitization products under varying external conditions.