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


  • 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


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



A First View on the New CVA Risk Capital Charge

In July 2015, the Basel Committee of Banking Supervision (BCBS) published a consultative paper on credit valuation adjustment (CVA) risk to improve the current regulatory framework. In February 2016, first improvements of this framework have been introduced within the QIS instructions for the QIS based on December 2015 results.


Comparing Alternate Methods for Calculating CVA Capital Charges Under Basel III

The global financial crisis brought counterparty credit risk and CVA very much into the spotlight. The Basel III proposals, first published in December 2009, introduced changes to the Basel II rules that reflected the need for a new capital charge against the volatility of CVA.


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. CVA is easy to understand in the context of a loan – it is the loan principal, minus anticipated recovery, multiplied by the counterparty’s default probability over the term of the loan. For derivatives, the loan amount is the net MTM value of derivative positions with that counterparty.

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