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The financing of innovative SMEs: A multicriteria credit rating model

Silvia Angilella and Sebastiano Mazzù

European Journal of Operational Research, 2015, vol. 244, issue 2, 540-554

Abstract: Small and Medium-sized Enterprises (SMEs) face many obstacles when they try to access the credit market. These obstacles increase if the SMEs are innovative. In this case, financial data are insufficient or even unreliable. Thus, building a judgmental rating model, mainly based on qualitative criteria (soft information), is very important to finance SMEs’ activities. Till now, there has not been a multicriteria credit risk model based on soft information for innovative SMEs. In this paper, we try to fill this gap by presenting a multicriteria credit risk model named ELECTRE-TRI. A SMAA-TRI analysis is also implemented to obtain robust SMEs’ assignments to the risk classes. SMAA-TRI incorporates ELECTRE-TRI by considering different sets of preference parameters and uncertainty in the data via Monte Carlo simulations. Finally, we carry out a real case study with the aim of illustrating the multicriteria credit risk model.

Keywords: Multiple Criteria Decision Aiding; Qualitative criteria; SMAA-TRI; Innovative SMEs; Judgmental credit rating model (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (39)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:244:y:2015:i:2:p:540-554

DOI: 10.1016/j.ejor.2015.01.033

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European Journal of Operational Research is currently edited by Roman Slowinski, Jesus Artalejo, Jean-Charles. Billaut, Robert Dyson and Lorenzo Peccati

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