This study presents the first attempt to develop classification models for the prediction of share repurchase announcements using multicriteria decision aid (MCDA) techniques. We use three samples consisting of 434 UK firms, 330 French firms, and 296 German firms, to develop country-specific...

In this paper we investigate the application of a methodology based on fuzzy-sets theory to the selection of an optimal portfolio of Greek government bonds. Investors’ goals for the different bond market scenarios are formulated in fuzzy qualitative terms, while a model of fuzzy mathematical...

Over recent decades, the forecasting and prediction of stock market acquisitions have been subject to increased interest due to the economic importance for various stakeholders. This study consists of two stages: dealing with the development of prediction models and their subsequent use within...

The purpose of the present study is the development of classification models for 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 1998-2004 and match them...

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 2853 observations from 615 publicly quoted commercial banks operating in 74 countries during the period 2000-2004....

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...