Automating Credit Risk Surveillance Using Statistical Models

Credit ratings play an essential role in monitoring credit risk and identifying investment opportunities. Based on criteria that includes both qualitative and quantitative considerations, and subject to committee review, ratings movements can happen at any point in time. Being prepared for these significant changes is critical.

Join this webinar to:

• Get a demonstration of how you can automate your credit risk surveillance with a cutting-edge statistical model that can be used to generate early warning indicators of potential credit risk deterioration and/or improvement, that may trigger portfolio rebalancing
• See how you can perform exploratory analysis with different datasets and build models supported by multiple languages and data visualizations, hosted in a notebook environment on the S&P Global Marketplace Workbench platform