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
FRTB is intended to address the undercapitalisation of trading book exposures witnessed during the financial crisis. While the basic goals and ideas of FRTB are simple, it differs materially from the existing Market Risk regulations. FRTB is likely to have a substantial influence in the way firms are organised, and their approach to measuring and reporting risk. There will also be an overall business and operational impact. Banks need to decide whether the costs associated with operational and IT change is justified. Read More
Given current market practices around counterparty risk regulation, xVA management, funding and accounting, Helaba, one of the leading German banks, decided it needed to enhance its counterparty risk infrastructure for their OTC derivatives business. To support this initiative the bank wanted to pair their existing risk and core trading infrastructure with a modern, enterprise-wide XVA solution. The ability for senior management to get a comprehensive view of the banks’ counterparty risk was one of the key priorities.
To remain ahead of market developments and regulatory requirements including EMIR and IFRS13 (CVA), AFD looked to complement their existing infrastructure with a single front-to-risk solution that combined high-performance technology with best-of-breed functionality. Limited by their incumbent systems AFD required a core trading and portfolio management solution (PMS) that could provide a single view of risk, consistent analytics, and calculations to support central clearing.
One of the largest asset and wealth managers in the world was looking for a single front-to-administrator solution for trading and risk management to address growth, market changes, and regulatory requirements including MiFID, EMIR, and Dodd-Frank for one of its premier funds. After a 5 month review of alternative internal and external solutions, Quantifi proved to be the clear leader, as it offered all the functionality best matching the client’s stringent requirements.