Codefarm the structured credit technology affiliate has launched Galapagos Manager an online function that enables managers of synthetic CDOs to protect and improve the performance of deals under management."With experts forecasting continuing volatility in the ascribe merchandise our release of Galapagos Manager could not be more timely," said John Mooren. Marketing Director of Codefarm. "Early pre-launch users of Galapagos Manager are finding that it is giving them a real competitive edge during the current period of market turbulence. Galapagos Manager is the ideal drive to back up managers through such times. Its go and flexibility alter back up and rapid re-optimization of portfolios and will completely transform portfolio management."
Using powerful optimization techniques and integrated merchandise data feeds and models. Galapagos Manager suggests changes to portfolios that leverage the ascribe opinion of CDO managers by minimising risk and maximising furnish.
By streamlining and automating the substitution selection. Galapagos Manager highlights opportunities that conventional analysis and intuition could miss. More deals can be managed in agree enabling managers to scale their business and bring home the bacon growth effectively.
"Galapagos Manager will do for CDO management what Galapagos Structurer now used by most of the study investment banks has done for CDO structuring," explained Jeremy Mabbitt. Managing Director of Codefarm. "Our technology replaces the more limited conventional techniques with high-performance flexible technology that enables managers to deploy their skills to beat effect."
Galapagos Manager is built on the proven platform of Galapagos Structurer the online function that uses evolutionary computing technology to structure highly optimized CDOs and compound spreads. By integrating pricing and ratings' models and data feeds along with parameters such as SROC targets churn limits loss triggers and removals limits. Galapagos Manager can continuously evaluate and re-optimize deals offering substitution suggestions that act into account a wide range of factors including price ratings compliance tests and trading costs.
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