This week’s Learning Curve was written by David Kelly, Director of Credit Products, and Dmitry Pugachevsky, Director of Research, at Quantifi.
Credit value adjustment 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 less anticipated recovery, times 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.
As noted, the Finance domain provides many good candidates for vectorization. A particularly good example is the aggregation of Credit Value Adjustment (CVA) and other measures of counterparty risk. The most common general purpose approach to calculation of CVA is based on a Monte-Carlo simulation of the distribution of forward values for all derivative trades with a counterparty. The evolution of market prices over a series of forward dates is simulated, then the value of each derivative trade is calculated at that forward date using the simulated market prices. Read More
Webinar with Kauri Solutions
Quantifi, a provider of risk, analytics and trading solutions, and Kauri Solutions, a specialist financial consultancy firm, today announced the release of their whitepaper titled ‘FRTB: Strengthening Market Risk Practices?’. In July 2015, the Basel Committee proposed the FRTB-CVA framework which replaces the current CVA Risk Capital calculations. Six months later it published the final rule of the FRTB framework designed to address the undercapitalisation of trading book exposures witnessed during the financial crisis. This paper explores how these frameworks affect bank balance sheets. read more
by Quantifi and Kauri Solutions
The Basel Committee’s overhaul of the market risk capital framework marks a major change to previous versions. FRTB is likely to have a substantial influence in the way firms are organised, and their approach to measuring and reporting risk. For example, at desk level there will be a requirement to monitor SA capital in addition to IMA. Banks need to decide whether the costs associated with operational and IT change is justified. Are more complex products likely to pay for themselves given the majority of the life of a trade will need to be calculated with SA as opposed to IMA? What is the impact of CVA charges?
Quantifi's 2016 Annual London Conference
Counterparty credit risk (CCR) is currently one of the most complex topics for financial institutions. This complexity comes from many different sources but is primarily related to the multiple definitions and uses of counterparty credit risk. Therefore, the first question to ask yourself before modeling counterparty credit risk is why do you want to measure it? Read More