The recent crisis highlighted, once again, the importance of early warning models to assess the soundness of individual banks. In the present study, we use six quantitative techniques originating from various disciplines to classify banks in three groups. The first group includes very strong and...

This paper uses stochastic frontier analysis to provide international evidence on the impact of the regulatory and supervision framework on bank efficiency. Our dataset consists of 2,853 observations from 615 publicly quoted commercial banks operating in 74 countries during the period 2000-2004....

In this paper, we investigate the relative performance of both linear and non-linear support vector machines (SVMs) models with a polynomial and an RBF kernel in the development of classification models for the prediction of EU bank acquisition targets. The training sample consists of 274 banks,...

The purpose of the present study is the development of classification models that could be used in the identification of acquirers and targets in the Asian banking sector. We use a sample of 52 targets and 47 acquirers that were involved in acquisitions in 9 Asian banking markets during...

We investigate the association between the regulatory and supervision framework and the likelihood of being involved in acquisitions either as acquirer or target in the Asian banking industry over the period 1998-2004. The sample consists of 473 commercial banks operating in 9 markets, a total...

The purpose of this study is to examine the efficiency and productivity of a Greek bank's branches. The sample consists of 458 branches of a Greek commercial bank, operating in 13 regions of Greece over the period 2002-2005, a total of 1,795 observations. We first use data envelopment analysis...

The present study investigates the efficiency of four classification techniques, namely discriminant analysis, logit analysis, UTADIS multicriteria decision aid, and nearest neighbours, in the development of classification models that could assist auditors during the examination of Asian...

In this paper we use a sample of 894 banks from 79 countries to develop a multicriteria decision aid model, for the classification of banks in three groups on the basis of their soundness. The model is developed with the UTADIS method, through a ten-fold cross-validation procedure using six...

This paper examines for the first time the association between the efficiency of Greek banks and their share price performance. Our analysis consists of three parts. First, we calculate the annual share price returns of the banks for each year between 2001 and 2005. Then we use data envelopment...

In this paper we develop classification models for the identification of acquisition targets in the EU banking industry, incorporating financial variables that are mostly unique to the banking industry and originate from the CAMEL approach. A sample of 168 non-acquired banks matching 168...