Since 2005, Calypso and NumeriX have worked together to satisfy the needs of the most demanding and innovative issuers, broker/dealers and investors. The resultant integration of NumeriXâs fixed income, inflation, and cross currency analytics has been very well received. As per the expanded integration partner agreement, Calypso users will be able to more accurately price and generate sensitivities for the most complex derivatives, including equity, interest rate, credit and hybrids. The integration of these market-vetted analytics within a proven trading system is designed to fully support the lifecycle of even the most complex exotic or hybrid derivative.
This latest milestone comes in response to increased market demand for greater automation and risk transparency in response to the growing pressures from regulators and investors alike. Beyond integrating NumeriX analytics into its own rigorous QA process and full backward compatibility, Calypso is also committed to executing on a twelve to eighteen month product roadmap in support of the endeavor of full spectrum instrument class coverage. Calypso has instituted a version management system to support future updates to the integrated NumeriX analytics.
âThis extension of our integration partner agreement with Calypso Technology signifies the importance of full asset class coverage for the valuation of hybrids and exotics,â said NumeriX President and COO, Steven R. OâHanlon. âAs traders struggle to maintain profitability in a crowded market, it is vital to provide the necessary tools to accurately value and maintain risk exposure for complex derivatives.â
âWe are thrilled to strengthen this relationship with NumeriX,â said Gerard Rafie, VP Marketing, Calypso Technology. âWeâve seen the results for our customers within one asset class and it was a natural progression to provide complete access to the NumeriX analytics suite. As todayâs markets evolve, we are committed to providing our users with access to the best available analytics within the Calypso application.â