Applying Vectorisation to CVA Aggregation

New challenges in the financial markets driven by changes in market structure, regulations and accounting rules like Basel III, EMIR, Dodd Frank, MiFID II, Solvency II, IFRS 13, IRFS 9 and FRTB have increased demand for higher performance risk and analytics. Problems like XVA can be extremely computationally expensive to solve accurately. This demand for higher performance has put a focus on how to get the most out of the latest generation of hardware.

Co-hosted by Quantifi & Intel


Agenda

  • What is vectorisation?
  • The rise of parallelism
  • What kind of problems can be vectorised?
  • Implementation challenges: Intel’s 6 step program
  • Applying vectorisation to CVA aggregation

Presenters

  • Jamie Elliot, Development Manager, Risk Architecture, Quantifi
  • Evgueny Khartchenko, Senior Software Application Engineer, Intel

insights

Innovative thinking

Whitepapers

A First View on the New CVA Risk Capital Charge

The impact of the new CVA risk regulation framework on calculation methods and the infrastructure of banks could potentially be the turning point for many of the medium-sized institutes we are seeing in the market.

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Whitepapers

Comparing Alternate Methods for Calculating CVA Capital Charges Under Basel III

There are two ways for banks to compute CVA VaR, standardised and advanced methods, depending on their current regulatory approval. Furthermore, firms can potentially reduce the capital charges via eligible hedges.

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Whitepapers

CVA, DVA and Bank Earnings

Credit Value Adjustment (CVA) is the amount subtracted from the mark-to-market (MTM) value of derivative positions to account for the expected loss due to counterparty defaults.

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