In Q 3-4 2016, Russia's economy entered the phase of cyclical growth from the lowest point of the business cycle, its typical feature being the unstable movement patterns of the main socioeconomic development indicators. Inflation hit its historic low. The ruble's strengthening boosted the...

Transparency is one of the biggest innovations in central bank policy of the past quarter century. Modern central bankers believe that they should be as clear about their objectives and actions as possible. However, is greater transparency always beneficial? Recent work suggests that when...

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...

The U.S. Subprime Crisis and the subsequent Great Recession have highlighted a renewed interest in the proper design and implementation of Early Warning Systems (E.W.S.), in order to help deter the onset of subsequent extreme financial events, through the implementation of adequate crisis...

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...

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...

In this study, we consider the construction of through-the-cycle ("TTC") PD models designed for credit underwriting uses and point-in-time ("PIT") PD models suitable for early warning uses, considering which validation elements should be emphasized in each case. We build PD models using a long...