We examine the ability of policymakers to stimulate household borrowing and spending during the Great Recession by reducing banks' cost of funds. Using panel data on 8.5 million U.S. credit card accounts and 743 credit limit regression discontinuities, we estimate the marginal propensity to...

This paper develops a specification of the credit scoring model with high discriminatory power to analyze data on loans at the retail banking market. Parametric and non- parametric approaches are employed to produce three models using logistic regression (parametric) and one model using...

We consider 1927 borrowers from 54 countries who had a credit rating by both Moody's and S&P at the end of 1998, and their subsequent default history up to the end of 2002. Viewing bond ratings as predicted probabilities of default, we consider partial orderings among competing probability...

We provide evidence that German savings banks – where local politicians are by law involved in their management – systematically adjust lending policies in response to local electoral cycles. The different timing of county elections across states and the existence of a control group of...

We generalize the refinement ordering for well calibrated probability forecasters to the case were the debtors under consideration are not necessarily identical. This ordering is consistent with many well known skill scores used in practice. We also add an illustration using default predictions...

Do banks with low capital extend excessive credit to weak firms, and does this matter for aggregate efficiency? Using a unique data set that covers almost all bank-firm relationships in Italy in the period 2004-2013, we find that, during the Eurozone financial crisis: (i) Under-capitalized banks...

This paper presents a micro data approach to the identification of credit crunches. Using a survey among German firms which regularly queries the firms' assessment of the current willingness of banks to extend credit we estimate the probability of a restrictive credit supply policy by time...

In this article, we have used a continuous EBIT-based model to study deferred taxation under default risk. Quite surprisingly, default risk has been disregarded in research on deferred taxation. In order to underline its importance, we first calculated the probability of default, over a given...

Measuring and identifying financial constraints represents an important challenge in empirical studies. Due to data limitations perception-based indicators or approximations of access to finance by the usage of finance are often used, disregarding firm-specific differences in the demand for...

This paper addresses the impact of developments in the credit risk transfer market on the viability of a group of systemically important financial institutions. We propose a bank default risk model, in the vein of the classic Merton-type, which utilizes a multi-equation framework to model...