Featured Use Case
Delivering an 8,400x speedup over Monte Carlo simulations
while dramatically reducing compute costs and maintaining accuracy
Challenge
Solution
Faster, more accurate and comprehensive risk analyses are critical to the safety of the financial economy, with these analyses increasingly required by regulations such as Basel III and CCAR. Many interacting contingency factors must be considered in these risk analyses, from asset price dynamics and third party-risk to macroeconomic market variables.
The high-dimensional complexity of these analyses are typically addressed by Monte Carlo simulations — which are computationally expensive and time-consuming calculations. This scenario presents an ongoing and inelastic cost for financial institutions to maintain regulatory compliance and daily capital reserve requirements.
