We test whether a simple measure of corporate insolvency based on equity return volatility - and denoted as Distance to Insolvency (DI) - delivers better predictions of corporate default than the widely-used Expected Default Frequency (EDF) measure computed by Moody's. We look at the predictive...

We confront five stylized facts related to sovereign default: 1) the presence of serial defaulters; 2) the prevalence of partial over complete default; 3) the counter-cyclicality of default; 4) non-linearity of sovereign spreads; and 5) heterogeneous outcomes among serial defaulters. In a model...

The purpose of this paper is to investigate the main drivers of the change in the credit risk provisions at a portfolio level for the banks that have been subject of the 2018 EBA stress tests. Therefore, we perform a holistic review of the drivers of the three-year projections of credit losses....

Using a difference-in-differences approach and relying on conftdential supervisory data and an unique proprietary data set available at the European Central Bank related to the 2016 EU-wide stress test, this paper presents novel empirical evidence that supervisory scrutiny associated to stress...

This paper explores how the need to transition to a low-carbon economy influences firm credit risk. It develops a novel dataset which augments data on firms' green-house gas emissions over time with information on climate disclosure practices and forward-looking emission reduction targets,...

Banks are usually better informed on the loans they originate than other financial intermediaries. As a result, securitized loans might be of lower credit quality than otherwise similar nonsecuritized loans. We assess the effect of securitization activity on loans' relative credit quality...

We analyse the impact of the adoption of expected credit loss accounting (IFRS 9) on the timeliness and potential procyclicality of banks' loan loss provisioning. We use granular loan-level data from the euro area's credit register and investigate both firm-level credit events and macroeconomic...

In this paper we build a unique dataset to study how banks decide which firms to lend to and how this decision depends on their own situation and the characteristics of their borrowers. We find that weaker capitalised banks adjust their credit standards more than healthier banks, especially for...

In terms of regulatory and economic capital, credit risk is the most significant risk faced by banks. We implement a credit risk model - based on publicly available information . with the aim of developing a tool to monitor credit risk in a sample of large and complex banking groups (LCBGs) in...

Banks typically determine their capital levels by separately analysing credit and interest rate risk, but the interaction between the two is significant and potentially complex. We develop an integrated economic capital model for a banking book where all exposures are held to maturity. Our...