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 study presents the first attempt to develop classification models for the prediction of share repurchases using multicriteria decision aid (MCDA) methods. The MCDA models are developed using two methods namely UTilités Additives DIScriminantes (UTADIS) and ELimination and Choice Expressing...

Banking crises can be damaging for the economy, and as the recent experience has shown, nowadays they can spread rapidly across the globe with contagious effects. Therefore, the assessment of the stability of the banking sectors is important for regulators, depositors, investors and the general...

The goal of this paper is to build an operational model for evaluating the financial viability of local municipalities in Greece. For this purpose, a multicriteria methodology is implemented combining a simulation analysis approach (stochastic multicriteria acceptability analysis) with a...

There is a growing literature that employs nonparametric frontier methods in order to evaluate the performance of investment funds. This paper proposes an integrated approach for analyzing the efficiency and performance of mutual funds. The methodology combines data envelopment analysis (DEA)...

Credit risk rating is a very important issue for both banks and companies, especially in periods of economic recession. There are many different approaches and methods which have been developed over the years. The aim of this paper is to create a credit risk rating model combining the...

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...

Finance is a popular field for applied and methodological research involving multiple criteria decision aiding (MCDA) techniques. In this study we present an up-to-date bibliographic survey of the contributions of MCDA in financial decision making, focusing on the developments during the past...

The financial health of local governments has attracted considerable interest over the past couple of decades. In this study, we follow a benchmarking perspective and introduce a multi-attribute financial evaluation model that allows peer assessments to be made, including comparisons overtime,...

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...