The transformation of credit scores into probabilities of default plays an important role in credit risk estimation. The linear logistic regression has developed into a standard calibration approach in the banking sector. With the advent of machine learning techniques in the discriminatory phase...

When firms are forced to publicly disclose financial information, credit rating agencies are supposed to improve their risk assessments. Theory predicts such an information quality effect but also an adverse reputational concerns effect because credit analysts may become increasingly concerned...

This paper provides evidence for regulatory arbitrage within the class of assetbacked securities (ABS) based on individual asset holding data of German banks. I find that those banks operating with tight regulatory constraints pick the securities with the highest yield and lowest collateral...

This paper tests for the sensitivity of R&D to financing constraints conditional on restrictions in external financing. Financing constraints of firms are identified by an exogenously calculated rating index. Restrictions in external financing are determined by (i) the specific time period...

This paper introduces a stress test of the corporate credit portfolios of 24 large German banks by a two-stage approach: First, a macro-econometric model is used to forecast the impact of a substantial increase of the user cost of business capital for firms worldwide on three particularly...

Approximately 51% of the adult population in Indonesia remains unbanked. They cannot fulfill formal requirements to prove their creditworthiness and are therefore not considered for services by conventional financial institutions. Addressing this barrier to their financial well- being,...