Ben De Prisco, Senior Vice President of Research and Financial Engineering at Algorithmics, said: âConditions in financial markets today, make it more important than ever to take into account the creditworthiness of your trading counterparties. The consistent and systematic application of Algorithmicsâ Credit Valuation Adjustment module will allow financial institutions to incorporate the pricing of credit risk into their derivative transactions, leading to a more comprehensive pricing and capital management approach.â
The Credit Valuation Adjustment module is an extension to Algorithmicsâ award winning Algo Counterparty Credit Risk solution that enables financial institutions to measure uni-lateral and bi-lateral credit valuation adjustment (CVA) for complex multi-asset portfolios, to calculate the incremental impact of new trades on counterparty CVA in near real-time, and to hedge the market risk and counterparty credit risk of CVA to reduce overall profit and loss volatility.
â¢ more accurate mark-to-market reporting
â¢ management of market and credit risk of CVA
â¢ improved pricing, hedging and transfer-pricing of counterparty credit risk
â¢ creation of more credit capacity and reduced capital consumption. (See notes for detail)
Mark Engel, Managing Director, Scotia Capital, commented: âIn this market, knowing our CVA at deal time is necessary for us to competitively price our trades. Also, having a detailed CVA risk profile is essential to manage our counterparty risk exposures.â
Bob Boettcher, Senior Director, Product Strategy, Algorithmics, added: âThe ability to measure and manage credit risk has never been more important. As CVA is the market price of counterparty credit risk, it is a great illustration of the importance of an integrated, forward looking framework for market and counterparty credit risk.â
The Algorithmics Counterparty Credit Risk solution was recently benchmarked as being able to process one million trades on a $10,000 server across 5,000 scenarios and 125 time steps in less than two hours for a realistic Tier 1 bank trading portfolio. This level of performance provides a cost effective solution to measurement of CVA across multiple market scenarios and for pre-deal analysis.