Analytical Accelerators and Tools, 2024
In financial institutions’ analytical environments, computational bottlenecks pose a major challenge. The need for rapid calculation for complex financial models, combined with the sheer volume of data being processed in real-time trading, is a critical factor contributing to these bottlenecks, especially in pricing and risk scenarios.
For financial institutions, analytical accelerator technologies are indispensable across various segments of computational finance, including risk management, portfolio optimization and asset pricing. Nevertheless, innovation in this space is being driven mainly by demand from the front and middle offices for low-latency and high-efficiency computation.
This report, part of Chartis’ STORM research series, explores the evolving landscape of analytical accelerators and tools designed to mitigate computational bottlenecks and enhance the performance of financial models and analytics.
