Quantitative analysts, portfolio managers and traders are limited in their ability to properly forecast prices on instruments due to data volumes as well as cross-border and cross-asset constraints. Firms need data management solutions that can provide millions of data points and objects quickly and cost-effectively. Fame provides a centralized repository of global, cross-asset market data coverage, including up to 20 years of time-series data analysis, which is used by FINALYZ AGâs quantitative modeling and forecasting platform to help develop trading strategies, test models and identify new opportunities. FINALYZ AGâs finalyz pSci is a complex forecast analysis system that combines various dynamic filters, pattern verification and decision algorithms embedded in a framework that provides predictions over a broad range of time horizons.
Gerry Murphy, president of SunGardâs brokerage and clearance business, said, âFirms need improved data quality, accuracy of forecasts, cross-border and cross-sector coverage and modeling flexibility to help them more accurately assess future performance. Fame, integrated with finalyz pSci, introduces managed price forecasts with historical time-series market data that helps firms to increase trust with their clients, improve decision-making and optimize risk management without forced assumptions and other limitations.â