Fast Portfolio Expected Shortfall for FRTB-IMA

This white paper introduces FRTB-IMA, and illustrates how to perform fast Expect Shortfall (ES) calculations through software optimisation

With the Fundamental Review of the Trading Book (FRTB) regulation, the Internal Models Approach (IMA) to compute the market risk capital charge changed from a VAR/SVAR calculation to expected shortfall (ES). While these calculations are similar, the new regulation requires up to 63 separate executions, each involving a computationally expensive Monte-Carlo simulation. This constitutes a tremendous computational challenge to banks with IMM approval. It is therefore of paramount importance that the ES implementation is highly optimised.

This paper introduces the calculations required under FRTB-IMA and details several software optimisation techniques to cope with the data and compute complexities involved. Code modernisation techniques as well as accelerator processors are covered (GPU, many-core), recommendations are given, and illustrative examples are shown.

  • FRTB-IMA overview
  • VAR/SVAR vs ES
  • Data and compute complexities
  • Software code modernisation
  • GPU and many-core acceleration

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