Multi-criteria classification methods in financial and banking decisions

Over the past two decades, the quantitative analysis of financial and banking decisions has gained significant interest among researchers and practitioners. A significant part of the research conducted in this field focused on the development of analytical models that can be used in evaluating the alternative ways of action in financial and banking problems. Typically, this evaluation involves the choice of the best alternative, the ranking of the alternatives from the best to the worst ones, or their classification into predefined homogeneous classes. This paper is focused on the classification approach illustrating the use of multi-criteria decision aid (MCDA) classification methods in making financial and banking decisions. Three MCDA approaches (the UTADIS method, the ELECTRE TRI method, and the rough set approach) are applied in financial and banking problems, such as business failure prediction, credit-risk assessment, and portfolio selection and management. A comparison is also performed with linear and quadratic discriminant analysis, and logit analysis.