Two subject matter experts from KPMG explain how to effectively manage the challenges of estimating credit loss rates in the time of stress ..read more

The largest US banks reported very positive second quarter earnings last week despite generally lower net interest margin and negative loan growth. The positive earnings were mainly due to a significant loan loss provision benefit (negative loan loss provision ..read more

Four RMA chapters are marking 100 years of service to the industry and their community in 2021, a testament to their continuing relevance and value after a century of changes: Buffalo, New England, Pittsburgh, and Portland Metro (Oregon).   ..read more

Researchers get easy access to historical and current data and reports per industry via RMA’s Statement Studies, the go-to benchmark resource ..read more

See machine learning in action and discover how lenders forecast creditworthiness and improve AML practices ..read more

Below are the highlights from GCOR XV sessions focusing on three main themes – megatrends that are shaping the future of operational risk management, organizational culture, and the complexity of the world that we live in ..read more

Community banks have long prided themselves on their high-touch, super-local service to their communities. Now, along comes a new generation of consumers with a preference for low-touch, technology-enabled banking. What is a community bank to do ..read more

This feature, from the Seyfarth Shaw law firm’s blog The Blunt Truth, summarizes news from the world of legalized marijuana ..read more

Before they wrapped up their spring semesters, close to 100 students on track for careers in the financial services industry had a chance to show what they know about credit risk in competitions held by RMA chapters ..read more

The COVID-19 pandemic has caused unprecedented model failure and forecasting concerns across the financial industry. The widespread model deterioration cannot not be easily resolved by immediate redevelopment and recalibration effort, largely due to the unavailability of the outcome data before economic recovery reaches a stable state. Banks typically resort to overlays and management adjustments to correct large forecasting variances. This attempt could introduce additional noise and cause model estimates to become more volatile if shocks to the model cannot be self-absorbed in time or the ov ..read more