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For Immediate Release
Moody's KMV Hosts Seminar for Leading Corporations to Discuss Best Practices in Credit Risk Management
Executives from Moody's KMV and Leading Corporations Discuss the Impact of the Current Credit Cycle
SAN FRANCISCO - May 10, 2006 - Moody's KMV today announced that it successfully concluded its conference "Best Practices: Credit Risk Management for Corporations." This event brought together industry leaders to discuss and highlight best practices in corporate credit risk management along with tools and methodologies used to more accurately measure the credit worthiness of both public and private firm borrowers. Thirty credit risk practitioners from New Jersey-based corporations representing various industries attended the day-long event.
Douglas Dwyer, Ph.D., Senior Director in the Moody's KMV Research Group, presented challenges and opportunities in the current credit landscape. Moody's KMV Credit Risk Specialist Brad Saegesser led a discussion on preparing for a credit cycle downturn. They were joined on the speakers' platform by executives from leading firms in both the telecommunications and pharmaceutical industries who presented their experiences of the impact of an improved credit process, as well as leveraging a credit scoring tool.
"The current credit environment appears benign as spreads have fallen five-fold from the previous peak," said Douglas Dwyer. "Nevertheless, 2005 saw a number of notable large defaults indicating that the credit cycle could be turning. It's important for corporations as well as banks to be prepared for potential changes."
In addressing a potential downturn in the cycle, Brad Saegesser highlighted the value of Moody's KMV credit risk solutions: "Moody's KMV continually approaches its business with a focus on innovative and comprehensive tools and services to best prepare our clients to make better economic decisions based on state-of-the-art credit analysis."
In preparation for a shift in the credit cycle, conference presenters underscored the importance of quantitative credit risk tools to predict or detect deterioration of single credits and to boost the overall level of performance of the complete portfolio.
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