Default and Recovery

Much of our research focuses on modeling default and loss. Our Expected Default Frequency™ (EDF™) credit risk measures are accurate and forward-looking probabilities of default for both public and private firms.

Built from decades of experience utilizing extensive datasets and proven models, EDF measures have been validated on defaults and credit spreads and have become the de facto standard for lenders and investors worldwide.

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Each month, utilizing Moody’s Analytics Public EDF (Expected Default Frequency) model and Moody’s Analytics Private Firm EDF model (RiskCalc), we analyze one public company and one private company default in more detail. We highlight the EDF credit measures’ performance based upon the specific financial situation of each company.

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Moody’s Analytics LossCalc v3.0 model is used for predicting Loss Given Default (LGD). Each month, we take an in-depth look at a defaulted single obligor and estimate its LGD and expected recovery rate using LossCalc v3.0. We also analyze the firm’s recovery term structure combined with other factors, such as geography, industry, credit cycle stage, debt type, standing in the capital structure, collateral type and the firm’s credit quality.

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  • Chartis RiskTechnology100 2011 Award
    Ranked 5th in Overall Rankings
  • Fin Tech 100 2011 Award
    Ranked 44th in Overall Rankings
  • Asia Risk 2010 Award
    Voted #1 in Economic Capital Calculation and Management
  • Waters Rankings 2010 Award
    Voted "Best Credit Risk Solution Provider” for 2nd year in a row
  • Risk Technology Rankings 2010 Award
    Voted #1 in Basel II Compliance, Reg. Risk Capital Calculation and Reporting
  • AsiaRisk Tewchnology Rankings 2010 Award
    Voted #1 in Liquidity Management
  • Chartis RiskTechnology100 2010 Award
    Ranked 6th in Overall Rankings
  • Credit Technology Innovation 2009 Award
    Named a 2009 Credit Innovation Awards Winner for Integrated RMBS Analytics