Dr. Fieldhouse and his team of analysts specialize in producing econometric based loss-forecasting, benchmarking and stress-testing models to meet our client’s unique strategic planning and risk management needs. He is a CECL subject matter expert with a focus on credit cards. He also produces white papers on consumer credit issues and speaks regularly at Moody’s Analytics and industry events, webinars and client engagements. David holds a PhD in economics from the University of Western Ontario, Canada.
Credit Risk Modeling: Moody’s Analytics delivers award-winning credit models and expert advisory services to provide you with best-in-class credit risk modeling solutions.
Current Expected Credit Loss Model (CECL): Moody’s Analytics provides tools for the most crucial aspects of the expected loss impairment model, with robust solutions to aggregate data, calculate expected credit losses, and derive and report provisions.
Using multiple scenarios in CECL can temper some of the volatility in the economic forecasts – the part that results from our inability to forecast the economy with complete precision.
Through this study, we illustrate the challenges for modelers under CECL and assess the impact of the new accounting standards.
As internal model development and use of vendor models for CECL submission are fast in progress for those submitting by January 2020, our analystsreview a checklist that will help you organize CECL project plans.
In this webinar, our economists and consumer credit analyst share insight on techniques and best practices for modeling allowances for CECL.
In this webinar, David Fieldhouse, Director in Consumer Credit Analytics and Glenn Levine, Associate Director within the Capital Markets Research Group provide an overview of ECL quantification tools Moody's Analytics offers to support CECL implementation across all major asset classes.
In this presentation, learn more about ECL quantification tools to support CECL implementation across all major asset classes, including dual-risk rating models (PD/LGD), credit cycle adjustment and scenario conditioning models, segment-level loss rate models and discounted cash flow (DCF) and non-DCF methodologies.