University of Piraeus. International Strategic Management Association
Abstract
Several modelling procedures have been suggested in the literature that
aim to help credit granting decisions. Most of these utilize statistical, operational
research and artificial intelligence techniques to identify patterns
among past applications, in order to enable a more well-informed assessment of risk as well as the automation of credit scoring. For some types of
loans, we find that the modelling procedure must permit the consideration of
qualitative expert judgements concerning the performance attractiveness of
the applications. In this paper, we describe in detail the various steps taken to
build such a model in the context of the banking sector, using the MACBETH interactive
approach. The model addresses the scoring of medium and long
term loans to firms, to enable the multicriteria assignment of each application
to a category which may range from rejection to acceptance with different
spreads.peer-reviewe