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...

​We aim to assess how accurately accounting and stock market indicators predict rating changes for Asian banks. We conduct a stepwise process to determine the optimal set of early indicators by tracing upgrades and downgrades from rating agencies, as well as other relevant factors. Our results...

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...

In this article, the Universal Approximation Theorem of Artificial Neural Networks (ANNs) is applied to the SABR stochastic volatility model in order to construct highly efficient representations. Initially, the SABR approximation of Hagan et al. [2002] is considered, then a more accurate...

Using two market-view variables, namely the regulatory forbearance fraction imbedded in the bank capital and the market-valued of the bank equity-to-assets ratio, derived from market equity and total liabilities from listed commercial banks in the U.S. and three countries (Japan, China, India)...

We replicate three bank failure models (Martin (1977), Cole and White (2012), and DeYoung and Torna (2013)) and introduce a new predictive model along with several evaluation methods to compare their out-of-sample predictive accuracy. We find that the models are highly accurate individually, and...

The issue of long-term forecasting for the Russian financial sector has come to the fore after the economy and the financial system have suffered substantial shocks in recent years. It is extremely important for economic agents to understand what the Russian financial system would be on the...

Using a large panel of US banks over the period 2008-2013, this paper proposes an early warning framework to identify bank heading to bankruptcy. We conduct a comparative analysis based on both Canonical Discriminant Analysis and Logit models to examine and to determine the most accurate one....

In this paper we propose a framework for measuring and stress testing the systemic risk of a group of major financial institutions. The systemic risk is measured by the price of insurance against financial distress, which is based on ex ante measures of default probabilities of individual banks...

Employing a statistical model-building strategy, this study aims to empirically analyse the United States' bank failures across different size categories (small, medium, and large). Our results suggest that factors associated with bank failures vary across respective size categories, and the...