This paper illustrates the use of a multicriteria decision aid technique for the development of a model for the prediction of acquisition targets. A sample of 76 UK firms acquired over the period 2000-2002 matched with 76 non-acquired firms is used to develop a model that discriminates between...

In this paper we compare the efficiency of five classification techniques namely, discriminant analysis, logit analysis, Utilites Additives Discriminantes (UTADIS), Multi-Group Hierarchical DIScrimination (MHDIS), and Support Vector Machines (SVMs) in predicting small firms failure. We then...

This short paper presents the first attempt to examine empirically the relationship between the level of bank liquidity and the structure of the board of directors, in terms of board size and independence. A novel database on these board characteristics is built that includes banks operating in...

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...

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...

Small firms play an important role in most modern economies nevertheless they are not without their problems. Therefore, the development of business failure prediction models for small firms is quite important. In the present study we employ three multicriteria decision aid (MCDA) techniques for...

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 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...