We analyze the determinants of individual bank failures arising from solvency and liquidity shortages in a stylized banking system following Krause and Giansante (2012) where banks are characterized by the amount of capital, cash reserves and their exposure to the interbank loan market as...

This paper empirically investigates the causes of bank failures in Japan and Indonesia. Using logistic regression analysis of financial ratios, we explore the usefulness of domestic bank failure prediction models with a cross-country model that allows for cross-correlation of the error terms.Our...

This paper empirically investigates the causes of bank failures in Japan and Indonesia. Using logistic regression analysis of financial ratios, we explore the usefulness of domestic bank failure prediction models with a cross-country model that allows for cross-correlation of the error terms.Our...

Banking reform has proved to be one of the most problematic elements of economic transition in central and Eastern Europe. Therefore the paper considers the development of the Estonian banking sector and derives individual banks´ fragility scores during transition. To this end we use...

The paper develops an early-warning model for predicting vulnerabilities leading to distress in European banks using both bank and country-level data. As outright bank failures have been rare in Europe, the paper introduces a novel dataset that complements bankruptcies and defaults with state...

Purpose In this paper, the authors study the failure of Russian banks between 2012 and 2019. Design/methodology/approach The authors analyze the entire population of Russian banks and combine a logit model with the survival analysis. Findings In addition to the usual determinants, the authors...

Basel II Pillar 3 reports provide information about banks' exposure towards a number of risk factors, such as corporate credit risk and interest rate risk. Previous studies find that the quality of such information is likely to be weak. We analyze the marginal contribution of pillar 3 exposure...

Basel II Pillar 3 reports provide information about banks' exposure towards a number of risk factors, such as corporate credit risk and interest rate risk. Previous studies find that the quality of such information is likely to be weak. We analyze the marginal contribution of pillar 3 exposure...

In this paper, we present a forecasting model of bank failures based on machine-learning. The proposed methodology defines a linear decision boundary separating the solvent from the failed banks. This setup generates a novel alternative stress testing tool. Our sample of 1443 U.S. banks includes...