Many institutions recognize that credit models built in the pre-COVID-19 period are not performing sufficiently to evaluate the current environment.
Many institutions recognize that credit models built in the pre-COVID-19 period are not performing sufficiently to evaluate the current environment. Credit loss forecasting methods such as those used for IFRS 9 provisions may not differentiate borrowers across industries. To add to the complexity, institutions are guided by regulators to incorporate protective measures put in place by the governments in response to COVID – 19.
In this webinar we will address these challenges and how financial institutions can address these by:
• Introducing practical adjustments which can be incorporated in to internal ratings and credit assessments to increase their predictive power
• Accounting for the granular and cross-sectional impacts of COVID-19 across corporate segments
• And exploring overlays to quantify the direct and indirect effects of COVID-19–related stimulus programs targeted to individuals
Joseph Ingwat, Relationship Manager, Moody’s Analytics (Moderator)
Paul Onigbogi – Head, Credit and Investment Risk Division, Risk Management Department, Central Bank of Nigeria (CBN)
Dr. Jude Monye, Executive Director, Heritage Bank Ltd
Metin Epozdemir, Director - Solutions Specialist, Moody's Analytics
Armen Mirzoyan, Senior Economist, Moody's Analytics
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