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For Moodys KMV, Focus on Credit Pays Off.(Company overview)

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| August 07, 2006 | Fioravante, Janice | COPYRIGHT 2006 SourceMedia, Inc. This material is published under license from the publisher through the Gale Group, Farmington Hills, Michigan.  All inquiries regarding rights should be directed to the Gale Group. (Hide copyright information)Copyright

To Andrew Huddart, president of Moody's KMV, the company has a secret sauce. It is the largest default database ever assembled,O a storehouse of credit-default data from the 1970s forward. That's one of the key competitive differentiators of this firm,O he states.That's what our model is built on.

KMV, a San Francisco company that was built on predictive, quantitative modeling and acquired by credit ratings giant MoodyOs Corp. in 2002, delivers default probability data that banks use in internal rating systems for commercial lending. Huddart, a former executive at Reuters Group and risk analytics specialist Barra and CEO of advisory firm mPower, joined MoodyOs KMV in November 2004. By that time, the outfit had made its name in institutional circles by raising red flags in advance of major corporate failures with uncanny accuracy.

KMV customers were traditionally chief risk officers or chief credit officers, but the imperatives of enterprisewide risk management shine a new light on the companyOs products and create new opportunities. OWe help banks understand the correlation among the different risks across the loan book,O says Huddart. ONow we are finding that the utility of our products is for managing risk across an organization, monitoring of loans across a whole international book of business.O

And responding to enterprise risk, KMVOs technology is also changing. OWeOre in the process of building a new server-based platform that we call our next-generation Portfolio Manager product,O notes Huddart. Residing on a server, the system will be easier to roll out globally than is a desktop application, and can be implemented across an organization.

The firmOs expected default frequency (EDF) measureNderived from equity market and options pricing data, among other calculationsNOhas pretty much become the market standard for probability of default,O Huddart says. But he adds: OI donOt want to say anything that sounds arrogant because thatOs not what weOre about. ... I mean, we have the benefit of only doing credit risk. ThatOs one of the strengths of this firm. More than probably anybody else in the world, we are only focused on measurement of credit risk.O

Broader and Deeper

KMV covers not only public companies, but also private ones. OWe have a suite of modelsNabout 26Naround private company probability of default,O says Huddart. OWeOve continued to launch EDF models for private companies in different markets based on local data.O He calls OlocalizationO a key strategic direction for this year. For example, Oin mid-June, we launched a new Nordic countries model in Stockholm,O says Huddart. Dubbed RiskCalc Nordic, OitOs built on more than 1.5 million financial statements and over 250,000 private pan-Nordic firms.O He calls China Oa growth market for our productsO because of the significant quantities of nonperforming loans on banksO books.

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