A multicriteria outranking approach for modeling corporate credit ratings: an application of the ELECTRE TRI-NC methodA multicriteria outranking approach for modeling corporate credit ratings: an application of the ELECTRE TRI-NC method Peer-Reviewed Journal Publication Δημοσίευση σε Περιοδικό με Κριτές 2020-10-292019enCorporate credit ratings are widely used in financial services for risk management, investment, and financing decisions. In this study, the use of a recently developed multicriteria outranking approach, namely the ELECTRE TRI-NC method, is examined for constructing internal credit rating models in an expert-based judgmental framework. The models are constructed in a multicriteria classification (sorting) setting and the results are analyzed in terms of their internal properties as well as their deviations from risk rating categories defined by rating agencies (i.e. external benchmarking). A simulation/scenario analysis is conducted to examine the results and performance of the outranking models in relation to their parameters. Empirical results are provided for a sample of European firms rated by three leading rating agencies.http://creativecommons.org/licenses/by/4.0/Omega (United Kingdom)82166-180 Doumpos Michail Δουμπος Μιχαηλ Figueira, Jose Rui Elsevier Credit ratings Decision support ELECTRE TRI-NC Multiple criteria analysis