Understanding Drivers Of Credit Risk

Since the introduction of Altman’s Z-score in 1968, there have been many statistical models that combine financial ratios, socio and macroeconomic factors with advanced mathematical techniques to estimate a company’s credit risk. In most instances, they will produce the same, or very comparable assessments; however, at times, due to the different “DNA” of the models, they can (and will) provide divergent credit risk assessments for the same companies.

In his latest whitepaper, Giorgio Baldassarri, Ph.D. discusses the differences and similarities of two of our fundamentals-based credit risk models, and how their outputs can help you distinguish the real drivers of risk.

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