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An MCDA-based approach for creditworthiness assessment

Authors: CORAZZA, Marco; FUNARI, Stefania; SIVIERO F.;

An MCDA-based approach for creditworthiness assessment

Abstract

In this paper we propose a deterministic methodology for creditworthiness evaluation based on the Multi-Criteria Decision Analysis (MCDA) method known as MUlticriteria RAnking MEthod (MURAME). This approach allows to rank the firms according to their credit risk characteristics and to sort them into a prefixed number of homogeneous creditworthiness groups. Moreover, the methodology allows to estimate ex-post proxies of the probabilities of default and of the probabilities of transition. Then, we apply the proposed approach to check its capability to evaluate the creditworthiness in real cases; in particular, we consider the case of an important north eastern Italian bank.

Il working paper è inserito nell'archivio RePEc. http://ideas.repec.org/p/vnm/wpaper/177.html

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Italy
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Keywords

Multi-Criteria Decision Analysis (or MCDA), MUlti-criteria RAnking MEthod (or MURAME), credit risk assessment, Multi-Criteria Decision Analysis (MCDA); MUlti-criteria RAnking MEthod (or MURAME); Credit risk assessment., jel: jel:C02, jel: jel:G20, jel: jel:G32

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green