This paper provides evidence for regulatory arbitrage within the class of asset-backed securities (ABS) based on individual asset holding data of German banks. I find that banks operating with tight regulatory constraints exploit the low risk-sensitivity of rating-contingent capital requirements...

We examine rating behaviour after the introduction of new regulations regarding Credit Rating Agencies (CRAs) in the European securitisation market. Employing a large sample of 12,469 ABS tranches issued between 1998 and 2018, we examine the information content of yield spreads of ABS at the...

The scope of this study is to investigate the capability of AI methods to accurately detect and predict credit risks based on retail borrowers' features. The comparison of logistic regression, decision tree, and random forest showed that machine learning methods are able to predict credit...