The goal of this paper is to build an operational model for assessing creditworthiness of innovative small and medium-sized enterprises. To this purpose, a novel multicriteria methodology is implemented through a simulation approach within the context of the ELECTRE TRI-based framework. The model is applied to a database, retained from AIDA, involving a sample of Italian innovative small and medium-sized enterprises. The main finding is twofold. From a theoretical point of view, the credit rating model proposed allows to incorporate an override in the credit class, as required by Basel II in all the cases in which the availability of data is insufficient to describe the risk factors or a judgmental rating model is advised, as well as in innovative small and medium-sized enterprises. From an operational point of view, this methodology could be a useful tool for banks’ innovative lending processes, because of the lack of a credit model in this context.

A credit risk model with an automatic override for innovative Small and Medium-sized Enterprises

Angilella S.
;
Mazzù S.
2019-01-01

Abstract

The goal of this paper is to build an operational model for assessing creditworthiness of innovative small and medium-sized enterprises. To this purpose, a novel multicriteria methodology is implemented through a simulation approach within the context of the ELECTRE TRI-based framework. The model is applied to a database, retained from AIDA, involving a sample of Italian innovative small and medium-sized enterprises. The main finding is twofold. From a theoretical point of view, the credit rating model proposed allows to incorporate an override in the credit class, as required by Basel II in all the cases in which the availability of data is insufficient to describe the risk factors or a judgmental rating model is advised, as well as in innovative small and medium-sized enterprises. From an operational point of view, this methodology could be a useful tool for banks’ innovative lending processes, because of the lack of a credit model in this context.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11769/314182
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