We develop empirical models for the detection of insider abuse and fraud occurring at U.S. commercial banks with the goals of identifying leading indicators of fraud and fraud prediction. We use information from enforcement actions taken by bank supervisors to remove offending bank employees and...

This paper investigates the role of textual information in a U.S. bank merger prediction task. Our intuition behind this approach is that text could reduce bank opacity and allow us to understand better the strategic options of banking firms. We retrieve textual information from bank annual...

Regional banks as savings and cooperative banks are widespread in continental Europe. In the aftermath of the financial crisis, however, they had problems keeping their profitability which is an important quantitative indicator for the health of a bank and the banking sector overall. We use a...

In January 2007 the International Monetary Fund (IMF) published, on an ad hoc basis, a series of financial soundness indicators (FSIs) based on a common methodology (the IMF compilation Guide) for 62 countries, including all 27 European Union countries. The European Central Bank (ECB), jointly...

In January 2007 the International Monetary Fund (IMF) published, on an ad hoc basis, a series of financial soundness indicators (FSIs) based on a common methodology (the IMF compilation Guide) for 62 countries, including all 27 European Union countries. The European Central Bank (ECB), jointly...

In January 2007 the International Monetary Fund (IMF) published, on an ad hoc basis, a series of financial soundness indicators (FSIs) based on a common methodology (the IMF compilation Guide) for 62 countries, including all 27 European Union countries. The European Central Bank (ECB), jointly...

Big data and advanced algorithms using machine learning (ML) have changed the way financial products and services are produced, delivered, and consumed, and they have a potential to change the entire financial landscapes. Along with providing customers with better, faster, and cheaper services,...

Although risk culture is a key element in the risk management process, identifying the riskculture of a firm can be challenging due to the abstract concept of culture. We introduce textmining and unsupervised machine learning algorithms to define the risk culture for U.S. bankholding companies...

Our concern in this article is two-fold: first to see whether the determinants of bank distress and failure have been any different in the GFC from previous years: second to see whether simple measures of capital adequacy outperform their risk-weighted counterparts as predictors, despite the...