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Risk Scoring Models for Trade Credit in Small and Medium Enterprises

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Risk Scoring Models for Trade Credit in Small and Medium Enterprises

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dc.contributor.author Terrádez Gurrea, Manuel es_ES
dc.contributor.author Kizys, Renatas es_ES
dc.contributor.author Juan, Angel A. es_ES
dc.contributor.author Debón Aucejo, Ana María es_ES
dc.contributor.author Sawik, Bartosz es_ES
dc.contributor.editor Kitsos, Christos P. es_ES
dc.date.accessioned 2016-05-10T15:21:08Z
dc.date.available 2016-05-10T15:21:08Z
dc.date.issued 2015-05
dc.identifier.issn 2194-1009
dc.identifier.uri http://hdl.handle.net/10251/63870
dc.description © Springer International Publishing Switzerland 2015 C.P. Kitsos et al. (eds.), Theory and Practice of Risk Assessment, Springer Proceedings in Mathematics & Statistics 136, DOI 10.1007/978-3-319-18029-8_26 es_ES
dc.description.abstract Trade credit refers to providing goods and services on a deferred payment basis. Commercial credit management is a matter of great importance for most small and medium enterprises (SMEs), since it represents a significant portion of their assets. Commercial lending involves assuming some credit risk due to exposure to default. Thus, the management of trade credit and payment delays is strongly related to the liquidation and bankruptcy of enterprises. In this paper we study the relationship between trade credit management and the level of risk in SMEs. Despite its relevance for most SMEs, this problem has not been sufficiently analyzed in the existing literature. After a brief review of existing literature, we use a large database of enterprises to analyze data and propose a multivariate decision-tree model which aims at explaining the level of risk as a function of several variables, both of financial and non-financial nature. Decision trees replace the equation in parametric regression models with a set of rules. This feature is an important aid for the decision process of risk experts, as it allows them to reduce time and then the economic cost of their decisions. es_ES
dc.description.sponsorship This work has been partially supported by the NCN grant (6459/B/T02/2011/40) and AGH grant (11.11.200.274)
dc.language Inglés es_ES
dc.publisher Springer International Publishing es_ES
dc.relation.ispartof Theory and Practice of Risk Assessment es_ES
dc.relation.ispartofseries Springer Proceedings in Mathematics & Statistics;136
dc.rights Reserva de todos los derechos es_ES
dc.subject Trade credit es_ES
dc.subject Scoring models es_ES
dc.subject Small and medium enterprises es_ES
dc.subject Multivariate regression es_ES
dc.subject Decision trees es_ES
dc.subject.classification ESTADISTICA E INVESTIGACION OPERATIVA es_ES
dc.title Risk Scoring Models for Trade Credit in Small and Medium Enterprises es_ES
dc.type Capítulo de libro es_ES
dc.identifier.doi 10.1007/978-3-319-18029-8_26
dc.relation.projectID info:eu-repo/grantAgreement/NCN//6459%2FB%2FT02%2F2011%2F40/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AGH//11.11.200.274/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat es_ES
dc.description.bibliographicCitation Terrádez Gurrea, M.; Kizys, R.; Juan, AA.; Debón Aucejo, AM.; Sawik, B. (2015). Risk Scoring Models for Trade Credit in Small and Medium Enterprises. En Theory and Practice of Risk Assessment. Springer International Publishing. 349-360. https://doi.org/10.1007/978-3-319-18029-8_26 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1007/978-3-319-18029-8_26 es_ES
dc.description.upvformatpinicio 349 es_ES
dc.description.upvformatpfin 360 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.senia 279196 es_ES
dc.contributor.funder National Science Centre, Polonia
dc.contributor.funder AGH University of Science and Technology, Polonia
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