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...

We propose a new approach to studying the pass-through of credit expansion policies that focuses on frictions, such as asymmetric information, that arise in the interaction between banks and borrowers. We decompose the effect of changes in banks' cost of funds on aggregate borrowing into the...

Using account level credit-card data from six major commercial banks from January 2009 to December 2013, we apply machine-learning techniques to combined consumer-tradeline, credit-bureau, and macroeconomic variables to predict delinquency. In addition to providing accurate measures of loss...

Retail credit issuers traditionally rely on cutoffs derived from risk-based scorecards for acquisition and account management purposes. However, in recent years, advances in data and increased comfort with advanced modeling practices such as machine learning have given rise to more sophisticated...

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...

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...

The dynamic development of the mortgage market, especially in the period before the current financial crisis, revealed that within the EU there are local mortgage credit markets and that it is necessary to harmonize the rules of the system and consumer protection within the Community. The...

This paper presents evidence that non-bank-originated sub-prime mortgages have a higher probability of default than bank-originated sub-prime mortgages, but only for loans with prepayment penalties. Evidence also indicates that non-banks price prepayment penalties less favorably to borrowers...

A recent dramatic rise in subprime foreclosures has led to calls for restrictions against a range of loan features loosely termed “predatory.” Several cities and states have enacted regulations to curb predatory practices, and some advocacy groups endorse action at the federal level. Using...