We develop a model of neural networks to study the bankruptcy of U.S. banks. We provide a new model to predict bank defaults some time before the bankruptcy occurs, taking into account the specific features of the current financial crisis. Based on data from the Federal Deposit Insurance...

We study the legal provisions of 92 European systemic banks from 18 countries over the years 2008-2017. Since legal provisions may be viewed as a mechanism for disclosing information to capital markets, the creation of legal provisions is determined by the risk taken by the bank and the...

This paper tests the hypothesis that stress tests are primarily a function of the fundamental financial condition and operating environment of individual banks, rather than alternative adverse economic and financial scenarios imposed by regulators. We develop a novel early warning system based...

The aim of this paper is to analyse the influence of financial system liquidity and corporate leverage on a firm's overinvestment. We posit that when external funds are easily available, as in expansionary monetary periods, debt loses its traditional role as a managerial control mechanism....

This paper develops a novel measure of systemic risk that combines mapping technology and regression methods. Self-organizing maps (SOM) and lasso logistic regressions are employed to estimate default probabilities for individual U.S. commercial banks from 2001 to 2017. Subsequently, these...

We analyse the trend among 79 banks from 20 European countries towards scrip dividends. Whereas banks do not seem to smooth cash dividends, they do smooth total dividends, which include both cash and scrip dividends. We also find that the new legal requirements (resulting from the Basel Accords...