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...

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 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 the last decades the forecasting of acquisitions has been subject to increased interest due to its importance for various stakeholders. This study consists of two stages, dealing with the development of acquisitions' prediction models and their use in an investment strategy. More detailed, in...

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 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...

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...

In the present study we investigate the development of a classification model for discriminating between bankrupt, financially distressed and non-failed firms. The sample consists of 44 Greek firms that filed for bankruptcy over the period 2000-2003, 32 distressed firms that had serious...