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    Model Validation Services for Commercial Credit Risk

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    Moody’s Analytics independent and unbiased model validation solutions improve and automate your firm's model risk management processes.

      Independent model validation is an integral component of model risk management in today’s highly regulated financial environment. Poorly designed and functioning models can undermine otherwise solid financial reporting, underwriting performance, expected loss calculations, capital allocation, and strategic decision making. Regulatory guidance has placed more scrutiny on model validation and model risk management practices. It has fostered a company-wide view of models, the modeling process, and model governance practices.

      Moody’s Analytics best-in-class model validation solutions help management and regulators stay up-to-date on model performance and associated risks. Our offering includes, data validation, model analytics and pricing, remediation, regulatory reporting and documentation, suitability assessments, workflow, and predictive sensitivity testing.

    Make better, faster decisions with transparent, explainable, and interpretable models:

    • Evaluate conceptual soundness of your internally- or externally-built models, using your portfolio’s data or external sample with similar characteristics
    • Assess performance of the model through leading industry practices leveraging statistical analysis
    • Validate material model assumptions, methodologies and, associated parameters on a recurring basis
    • Conduct outcomes analysis to determine the accuracy of the model output based on model objectives
    • Verify that the model assesses material risks of the portfolio and ensures reasonable mitigation actions
    • Evaluate model interaction and integration within the enterprise-wide risk management system
    • Provide comprehensive documentation for third party review
    • Assess model compliance with established regulatory guidance on model risk management

    We can help in validating and automating the monitoring process for various models, including:

    • Internal credit risk rating models (i.e., PD, LGD, EAD)
    • Market risk, pricing and valuation models (e.g., bonds, derivatives, etc.)
    • Financial reporting models, regulatory capital and economic capital models
    • Managerial decision making models
    • Top-down, bottom-up and probability transition stress testing models
    • Liquidity risk and operational risk models
    • Catastrophic risk and insurance risk models (e.g., Underwriting, Reserving, Policy Behavior, etc.)

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