Automatic Selection of Financial Ratios by Means of Differential Evolution and for Predicting Business Insolvency

UDC.coleccionInvestigaciónes_ES
UDC.conferenceTitleBio-inspired Systems and Applications: from Robotics to Ambient Intelligence. IWINAC 2022es_ES
UDC.departamentoCiencias da Computación e Tecnoloxías da Informaciónes_ES
UDC.departamentoEmpresaes_ES
UDC.grupoInvDirección Financeira e Sistemas de Información para a Xestión (FYSIG)es_ES
UDC.grupoInvInformation Retrieval Lab (IRlab)es_ES
UDC.institutoCentroCITIC - Centro de Investigación de Tecnoloxías da Información e da Comunicaciónes_ES
dc.contributor.authorSantos Reyes, José
dc.contributor.authorSestayo Yermo, Óscar
dc.contributor.authorBeade, Angel
dc.contributor.authorRodríguez López, Manuel
dc.date.accessioned2025-04-21T09:08:57Z
dc.date.embargoEndDate9999-12-31es_ES
dc.date.embargoLift9999-12-31
dc.date.issued2022
dc.description.abstract [Abstract]: Differential evolution was used for the automatic selection of financial ratios for the prediction of business insolvency. A sample of companies from the Galician economy is used to predict the insolvency of a company a year in advance. The genetic population encodes possible sets or combinations of financial ratios, and the quality of each encoded solution is determined by the classification accuracy provided by a KNN classifier that uses the selected encoded ratios. Finally, the selected and relevant ratios are used with a more robust classifier, a classical multilayer perceptron, which provides greater sensitivity in the prediction results.es_ES
dc.description.sponsorshipThis study was funded by the Xunta de Galicia and the European Union, with grants CITIC (ED431G 2019/01), GPC ED431B 2019/03, and by the Spanish Ministry of Science and Innovation (project PID2020-116201GB-I00).es_ES
dc.description.sponsorshipXunta de Galicia; ED431G 2019/01es_ES
dc.description.sponsorshipXunta de Galicia; ED431B 2019/03es_ES
dc.identifier.citationSantos, J., Sestayo, Ó., Beade, Á., Rodríguez, M. (2022). Automatic Selection of Financial Ratios by Means of Differential Evolution and for Predicting Business Insolvency. In: Ferrández Vicente, J.M., Álvarez-Sánchez, J.R., de la Paz López, F., Adeli, H. (eds) Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence. IWINAC 2022. Lecture Notes in Computer Science, vol 13259. Springer, Cham. https://doi.org/10.1007/978-3-031-06527-9_53es_ES
dc.identifier.doihttps://doi.org/10.1007/978-3-031-06527-9_53
dc.identifier.isbn978-3-031-06527-9
dc.identifier.urihttp://hdl.handle.net/2183/41798
dc.language.isoenges_ES
dc.publisherSpringeres_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-116201GB-I00/ES/RAZONAMIENTO AUTOMATICO Y APRENDIZAJE CON INDUCCION DE CONOCIMIENTOes_ES
dc.relation.urihttps://doi.org/10.1007/978-3-031-06527-9_53es_ES
dc.rights.accessRightsembargoed accesses_ES
dc.titleAutomatic Selection of Financial Ratios by Means of Differential Evolution and for Predicting Business Insolvencyes_ES
dc.typeconference outputes_ES
dc.type.hasVersionVoRes_ES
dspace.entity.typePublication
relation.isAuthorOfPublicationf5e23200-9174-4def-9fde-e3ce6c3c26d5
relation.isAuthorOfPublicationc85b6a48-b6d1-41c9-af79-3f6a2ee2e82d
relation.isAuthorOfPublication.latestForDiscoveryf5e23200-9174-4def-9fde-e3ce6c3c26d5

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