Kas Bank deploys FMCSylvan's fixed income attribution product

Source: Financial Models Company

Financial Models Company Inc. (FMC), a leading provider of technology solutions and services to the investment world, today announced that KAS Bank N.V. is extending its use of FMCSylvan™ by deploying the system's fixed income attribution (FIA) module.

KAS Bank, the leading Dutch custodian, will now use FMCSylvan for both equity and fixed income performance measurement and attribution.

"We are seeing a greater number of our clients with combined fixed income and equity mandates who are consistently requesting more detailed attribution analysis across all instrument types," said Henk Boelens, KAS Bank Head of Asset Management Reporting. "Extending our use of FMCSylvan and including the FIA module gives us an ideal platform to service our clients going forward."

Being able to implement an integrated solution was a key element of FMC's overall proposal to KAS Bank. As an existing user of FMCSylvan, KAS Bank anticipates going live with FIA as early as the beginning of 2005.

"As fixed income securities become increasingly prevalent in portfolios, fixed income-specific analytical capabilities are becoming essential to provide an insight into the investment management process," said Phil Banas, Managing Director of Financial Models Corporation Limited, FMC's European subsidiary. "FMCSylvan's FIA module is specifically designed to mirror the investment process, and has relatively straightforward data requirements. Other solutions KAS Bank looked at were overly complex, data intensive and would have been burdensome for daily operations."

Through a browser-based interface, FMCSylvan provides global access to performance measurement, attribution, risk and regression analysis. Web-based access is critical, for it promotes rapid, streamlined dissemination of information, and the ability to generate highly customisable reports on the fly. FMCSylvan empowers users to calculate a range of attribution results, including additive and geometric methodologies for either a portfolio or individual security.

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