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Risk Solutions

LossStats® Database

The most comprehensive and robust set of credit loss information ever commercially assembled.
Overview
Standard & Poor's LossStats® Database is the most comprehensive and robust set of credit loss information ever assembled commercially. The far-reaching database captures credit loss information on 3,590 defaulted bank loans and high yield bonds, as well as other debt instruments, totaling over US$541 billion, and was created from 813 non-financial public and private U.S. companies that have defaulted since 1987.

LossStats Database is designed to provide the highest level of granular recovery analytics. The LossStats Database User Guide provides definitions of the terminology and fields in the database, helping increase the transparency of the process used in populating the database, and helping you get more value from the information contained in the database

Benefits
Helps you refine loss given default models;
Enables you to fine-tune structured vehicles with dynamic loss assumptions; and
Improves your capital factors.

Standard & Poor’s recently launched an enhanced version of CreditPro®, now fully integrated with LossStats Database.
Learn More

About CreditPro®
CreditPro is now Web-based and fully integrated with LossStats Database. This powerful, user-friendly ratings migration, default and recovery analytical tool covers over 13,000 companies, 115,000 securities, 130,000 structured finance issues, and 100 sovereign ratings.

With the new enhanced CreditPro, you can generate customized reports on ratings trends, default rates, scenario analysis, ratings statistics and recovery analytics. The reports can be easily downloaded to Excel.
Learn More

More about LossStats®
Loss Trends Monthly
Client Services
Call us:
1300-792-553
Related Information:
Webinar Replays
CreditPro Webinar
Date: July 15, 2009
Presenter: Katarina Antens-Miller

To hear the Audio files and view the Presentation Slides, please click here.

Articles
Risk/Reward - Managing Risk in the Shadow of a Global Financial Meltdown
(Reprinted courtesy of FST Europe)
Podcasts
17 Credit Warning Signs (Part 1): Analytical Considerations, Assessing the aggressiveness of a company business model
17 Credit Warning Signs (Part 2): Assessing major or abrupt shifts in business operating strategy
17 Credit Warning Signs (Part 3): Assessing Executive Compensation and Benefits, Senior Management and Board Member Turnover
Measuring Project Finance Risk: Standard & Poor’s Credit Assessment Templates And Data Consortium

In this podcast, learn about our default and recovery model for project finance transactions, and about our Project Finance Consortium.