FEA/FAME to Deliver Comprehensive Analytical SW for Risk MgtFinancial Engineering Associates Inc (FEA) is forming an alliance with FAME Information Services Inc to deliver a comprehensive analytical solution that combines quantitative risk analytics with quality market data for the global energy, power and financial markets. "FEA is considered one of the top providers of quantitative analysis software for energy derivatives," says Bill Wilson, president of FAME's Energy division, adding, "their software is used today in most energy and financial risk management systems. As a provider of quality market data, FAME immediately saw the synergy between the two firms in meeting a critical business need of end users - the ability to calculate reliable high quality risk statistics including volatilities, covariance matrices and VaR." "Since high quality data is often difficult to obtain in the marketplace," says Laurent Birade, global sales manager, FEA, "our clients have been scrambling to find compatible, easy-to-use datasets, which is why we turned to FAME, the leader in cleansed, validated data for both the energy and financial markets. By joining with FAME to develop an interface to our dataset generators, we can now offer our clients - really, anyone who calculates VaR - an option that allows them control over data inputs without incurring the cost and difficulty of building and managing a database on their own." FEA finds that many of their "users end up spending significantly more time dealing with data than with analytics," says Dr. Carlos Blanco, director, global support and education for FEA. Blanco continues, "We remain dedicated to delivering highly-customizable, comprehensive analytic software solutions." Both FEA and FAME are confident that their new relationship will benefit their clients and the marketplace by offering an integrated approach to delivering quantitative risk analysis tools with quality market data, for the most reliable results available to executives with risk management responsibilities. "We've built our reputation at FAME by providing customers with open access to the highest levels of quality market data. By partnering with FEA to deliver a comprehensive analytical risk solution, we meet our customers' need for high-end analytics," says Gerry Mintz, president and CEO of FAME. About FEAFocusing on the energy, financial and commodities markets since 1989, Financial Engineering Associates Inc, is renowned for the development of option valuation models and market risk assessment software. Powered by constant innovation, aggressive release schedules, and superb technical support, FEA is routinely first-to-market with pricing models and authoritative risk management tools for the latest, most-complex financial instruments. FEA's more than 650 institutional clients include energy firms, money center banks, Fortune 500 companies, trading enterprises, and leading financial firms worldwide. FEA remains at the forefront of financial engineering through an on-going commitment to meeting the needs of its clients worldwide. For more information, please visit www.fea.com. About FAMEFounded in 1982, FAME is a leader in time-series-based decision-support solutions for the world's financial and energy markets, delivering enterprise information integration, managed data services and Internet-enabled analytical components and products. In addition, FAME provides complete solutions through its professional services group. With offices in Houston, London, Singapore and Princeton, FAME's Energy division, formerly known as Saladin, provides data and analysis expertise through analytical tools, information, enterprise-wide data management, spreadsheets and consulting to the oil, gas, power and petrochemical industries. Headquartered in New York City, FAME has over 600 customers in 40 countries and employs over 350 professionals at 16 locations worldwide. For more information, please visit www.fame.com. Contact FEA, Laurent Birade, 1-510-548-6200, marketing@fea.com or FAME, Verna Ray, 1-713-583-2824, energyinfo@fame.com. |