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...

We study the determinants of commercial bank acquisitions that occurred over the period 1997-2002 in the European Union single market, by evaluating the impact of bank-specific measures, such as size, growth and efficiency of banks, and external influences reflecting industry level differences...

This paper uses stochastic frontier analysis and Tobit regressions to provide international evidence on the impact of regulatory, supervision and environmental factors on bank efficiency. Our contribution is twofold. First, we use a newly constructed database of 3,086 observations from 677...

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...

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....

We investigate the association between the regulatory and supervision framework and the acquisition likelihood in the Asian banking industry. The sample consists of 472 commercial banks operating in 9 South and Southeastern Asian countries, from which 52 were acquired between 1998 and 2004,...

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...

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 study investigates the efficiency of k-Nearest Neighbours (k-NN) in developing models for estimating auditors' opinion, as opposed to models developed with discriminant and logit analyses. The sample consists of 5,276 financial statements, out of which 980 received a qualified audit...