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...

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 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...

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,...

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...

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 develop a multicriteria decision aid model, to investigate whether it is possible to replicate the credit ratings of Fitch on Asian banks using publicly available data. The model is developed with the Multi-group Hierarchical DIScrimination (MHDIS) approach, following a 10-fold...

Recent research on robust decision aiding has focused on identifying a range of recommendations from preferential information and the selection of representative models compatible with preferential constraints. This study presents an experimental analysis on the relationship between the results...

Falsifying financial statements involves the manipulation of financial accounts by overstating assets, sales and profit, or understating liabilities, expenses or losses. This paper explores the effectiveness of an innovative classification methodology in detecting firms that issue falsified...