The main object of this paper is to develop a credit scoring methodology for Argentine bank commercial obligors based on information available in the Public Credit Registry of the Central Bank of Argentina (Central de Deudores) as a reference tool to assess credit risk in local banks. Previous...

Banks provide risky loans to firms which have superior information regarding the quality of their projects. Due to asymmetric information the banks face the risk of adverse selection. Credit Value-at-Risk (CVaR) regulation counters the problem of low quality, i.e. high risk, loans and therefore...

Der Anstieg des Zinsniveaus im Jahr 2022 führte in den Anleiheportfolios deutscher Banken zu hohen Verlusten. Die entstandenen stillen Lasten signalisieren zudem eine verminderte Profitabilität und deuten mittelfristig auf das Risiko hin, dass weitere Verluste entstehen könnten, sofern stille...

The rise in interest rate levels in 2022 led to large losses in German banks' bond portfolios. The resulting unrealised losses also point to reduced profitability and, in the medium term, indicate the risk of further losses arising if unrealised losses end up having to be realised in the process...

This paper investigates the incentives for banks to bias their internally generated risk estimates. We are able to estimate bank biases at the credit level by comparing bank-generated risk estimates within loan syndicates. The biases are positively correlated with measures of regulatory capital,...

We review heterogeneous agent-based models of financial stability and their application in stress tests. In contrast to the mainstream approach, which relies heavily on the rational expectations assumption and focuses on situations where it is possible to compute an equilibrium, this approach...

The publication of the second document on bank regulation by the Bank for International Settlements (BIS) paved the way for banking institutions to develop increasingly complex models for the calculation of their capital requirements as a protection measure against credit risk. The Internal...

We propose a new method for measuring the quality of banks credit portfolios. This method makes use of information impounded in bank share prices by exploiting differences in their sensitivity to credit default swap spreads of borrowers of varying quality. The method allows us to derive a credit...

We model how a cyber attack may be amplified through the U.S. financial system, focusing on the wholesale payments network. We estimate that the impairment of any of the five most active U.S. banks will result in significant spillovers to other banks, with 38 percent of the network affected on...

We analyze how systemic cyber risk in the wholesale payments network relates to adverse financial conditions. We show that at the onset of the COVID-19 pandemic, payment activity increased, became more concentrated, and showed intraday liquidity stress. Cyber vulnerability was elevated in late...