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Working Paper
From Incurred Loss to Current Expected Credit Loss (CECL): Forensic Analysis of the Allowance for Loan Losses in nconditionally Cancelable Credit Card Portfolios
The Current Expected Credit Loss (CECL) framework represents a new approach for calculating the allowance for credit losses. Credit cards are the most common form of revolving consumer credit and are likely to present conceptual and modeling challenges during CECL implementation. We look back at nine years of account level credit card data, starting with 2008, over a time period encompassing the bulk of the Great Recession as well as several years of economic recovery. We analyze the performance of the CECL framework under plausible assumptions about allocations of future payments to existing ...
Working Paper
Credit risk modeling in segmented portfolios: an application to credit cards
The Great Recession offers a unique opportunity to analyze the performance of credit risk models under conditions of economic stress. We focus on the performance of models of credit risk applied to risk-segmented credit card portfolios. Specifically, we focus on models of default and loss and analyze three important sources of model risk: model selection, model specification, and sample selection. Forecast errors can be significant along any of these three model-risk dimensions. Simple linear regression models are not generally outperformed by more complex or stylized models. The impact of ...
Working Paper
ENDOGENOUS/EXOGENOUS SEGMENTATION IN THE A-IRB FRAMEWORK AND THE PRO-CYCLICALITY OF CAPITAL: AN APPLICATION TO MORTGAGE PORTFOLIOS
This paper investigates the pro-cyclicality of capital in the advanced internal ratings-based (A-IRB) Basel approach for retail portfolios and identifies the fundamental assumptions required for stable A-IRB risk weights over the economic cycle. Specifically, it distinguishes between endogenous and exogenous segmentation risk drivers and, through application to a portfolio of first mortgages, shows that risk weights remain stable over the economic cycle when the segmentation scheme is derived using exogenous risk drivers, while segmentation schemes that include endogenous risk drivers are ...
Working Paper
Forecasting credit card portfolio losses in the Great Recession: a study in model risk
Credit card portfolios represent a significant component of the balance sheets of the largest US banks. The charge?off rate in this asset class increased drastically during the Great Recession. The recent economic downturn offers a unique opportunity to analyze the performance of credit risk models applied to credit card portfolios under conditions of economic stress. Specifically, we evaluate three potential sources of model risk: model specification, sample selection, and stress scenario selection. Our analysis indicates that model specifications that incorporate interactions between policy ...
Report
Summary of the Workshop on Credit Card Lending and Payments
The Federal Reserve Bank of Philadelphia’s Supervisory Research Forum (SURF) and Consumer Finance Institute (CFI) held the virtual Workshop on Credit Card Lending and Payments on September 16‒17, 2020. The workshop included sessions on payment systems and financial innovation, the COVID-19 pandemic's impact on consumer finance and credit use, and the industry impact of machine learning and artificial intelligence (ML/AI). This summary offers highlights of keynote speakers, academic paper presentations, and discussion panels.
Working Paper
Consumer risk appetite, the credit cycle, and the housing bubble
We explore the role of consumer risk appetite in the initiation of credit cycles and as an early trigger of the U.S. mortgage crisis. We analyze a panel data set of mortgages originated between the years 2000 and 2009 and follow their performance up to 2014. After controlling for all the usual observable effects, we show that a strong residual vintage effect remains. This vintage effect correlates well with consumer mortgage demand, as measured by the Federal Reserve Board?s Senior Loan Officer Opinion Survey, and correlates well to changes in mortgage pricing at the time the loan was ...
Working Paper
Credit risk analysis of credit card portfolios under economic stress conditions
We develop an empirical framework for the credit risk analysis of a generic portfolio of revolving credit accounts and apply it to analyze a representative panel data set of credit card accounts from a credit bureau. These data cover the period of the most recent deep recession and provide the opportunity to analyze the performance of such a portfolio under significant economic stress conditions. We consider a traditional framework for the analysis of credit risk where the probability of default (PD), loss given default (LGD), and exposure at default (EAD) are explicitly considered. The ...
Working Paper
From Incurred Loss to Current Expected Credit Loss (CECL): A Forensic Analysis of the Allowance for Loan Losses in Unconditionally Cancelable Credit Card Portfolios
The Current Expected Credit Loss (CECL) framework represents a new approach for calculating the allowance for credit losses. Credit cards are the most common form of revolving consumer credit and are likely to present conceptual and modeling challenges during CECL implementation. We look back at nine years of account-level credit card data, starting with 2008, over a time period encompassing the bulk of the Great Recession as well as several years of economic recovery. We analyze the performance of the CECL framework under plausible assumptions about allocations of future payments to existing ...
Working Paper
Can We Take the “Stress” Out of Stress Testing? Applications of Generalized Structural Equation Modeling to Consumer Finance
Financial firms, and banks in particular, rely heavily on complex suites of interrelated statistical models in their risk management and business reporting infrastructures. Statistical model infrastructures are often developed using a piecemeal approach to model building, in which different components are developed and validated separately. This type of modeling framework has significant limitations at each stage of the model management life cycle, from development and documentation to validation, production, and redevelopment. We propose an empirical framework, spurred by recent developments ...