This paper evaluates the impact of the March 2020 European Central Bank recommendation that banks do not pay dividends or buy back shares on their market values. It documents a causal negative impact on bank share prices of around 7% during the two weeks following its announcement. The...

Banking supervisors worldwide recognise the pressing need to harness frontier technologies such as artificial intelligence (AI), particularly machine learning (ML), to enhance their efficiency and analytical capabilities. The European Central Bank (ECB) has similarly acknowledged the...

We present an analysis of VaR forecasts and P&L-series of all 13 German banks that used internal models for regulatory purposes in the year 2001. To this end, we introduce the notion of well-behaved forecast systems. Furthermore, we provide a series of statistical tools to perform our analyses....

This paper describes concepts and tools behind macroprudential monitoring and the growing importance of macroprudential tools for assessing the stability of financial systems. This paper also employs a macroprudential approach in examining financial soundness and identifying its determinants....

This paper develops an analytical framework that can be used to anticipate problems in the banking system and enable supervisors to take mitigating actions at an early stage. This paper has two components. First, it develops an early warning indicator that is intended to capture a number of the...

I analyze the optimal design of banking supervision in the presence of cross-border lending. Cross-border lending could imply that an individual bank failure in one country could trigger negative spillover effects in another country. Such cross-border contagion effects could turn out to be...

This paper describes concepts and tools behind macroprudential monitoring, and the growing importance of macroprudential tools for assessing the stability of financial systems. This paper also employs a macroprudential approach in examining financial soundness and identifying its determinants....

We propose to pool alternative systemic risk rankings for financial institutions using the method of principal components. The resulting overall ranking is less affected by estimation uncertainty and model risk. We apply our methodology to disentangle the common signal and the idiosyncratic...