{"id":"https://openalex.org/W1040628","doi":null,"title":"THE PROBLEM OF VARIABLE SELECTION FOR FINANCIAL DISTRESS: APPLYING GRASP METAHEURISTICS","display_name":"THE PROBLEM OF VARIABLE SELECTION FOR FINANCIAL DISTRESS: APPLYING GRASP METAHEURISTICS","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W1040628","mag":"1040628"},"language":"en","primary_location":{"id":"mag:1040628","doi":null,"is_oa":false,"landing_page_url":"http://latienda.ie.edu/working_papers_economia/wp04-30.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016300969","display_name":"Olga G\u00f3mez","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Olga G\u00f3mez","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053903781","display_name":"Silvia Casado Yusta","orcid":"https://orcid.org/0000-0001-6073-3909","observed_orcids":["https://orcid.org/0000-0001-6073-3909"]},"institutions":[{"id":"https://openalex.org/I46176106","display_name":"Universidad de Burgos","ror":"https://ror.org/049da5t36","country_code":"ES","type":"education","lineage":["https://openalex.org/I46176106"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Silvia Casado","raw_affiliation_strings":["University of Burgos;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Burgos;","institution_ids":["https://openalex.org/I46176106"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012597053","display_name":"Laura N\u00fa\u00f1ez\u2010Letamendia","orcid":"https://orcid.org/0000-0001-8213-7630","observed_orcids":["https://orcid.org/0000-0001-8213-7630"]},"institutions":[{"id":"https://openalex.org/I125068653","display_name":"IE University","ror":"https://ror.org/02jjdwm75","country_code":"ES","type":"education","lineage":["https://openalex.org/I125068653"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Laura N\u00fa\u00f1ez\u2010Letamendia","raw_affiliation_strings":["IE BUSINESS SCHOOL"],"raw_orcid":"https://orcid.org/0000-0001-8213-7630","affiliations":[{"raw_affiliation_string":"IE BUSINESS SCHOOL","institution_ids":["https://openalex.org/I125068653"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037671968","display_name":"Joaqu\u00edn Pacheco","orcid":"https://orcid.org/0000-0002-7462-8680","observed_orcids":["https://orcid.org/0000-0002-7462-8680"]},"institutions":[{"id":"https://openalex.org/I46176106","display_name":"Universidad de Burgos","ror":"https://ror.org/049da5t36","country_code":"ES","type":"education","lineage":["https://openalex.org/I46176106"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Joaqu\u0131\u0301n Pacheco","raw_affiliation_strings":["University of Burgos;"],"raw_orcid":"https://orcid.org/0000-0002-7462-8680","affiliations":[{"raw_affiliation_string":"University of Burgos;","institution_ids":["https://openalex.org/I46176106"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8502,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.91292719,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.0003000000142492354,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.0,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/financial-distress-prediction","display_name":"financial distress prediction","score":0.890999972820282},{"id":"https://openalex.org/keywords/financial-ratios","display_name":"financial ratios","score":0.7379999756813049},{"id":"https://openalex.org/keywords/feature-selection","display_name":"feature selection","score":0.9599999785423279},{"id":"https://openalex.org/keywords/grasp-metaheuristic","display_name":"GRASP metaheuristic","score":0.9120000004768372},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"dimensionality reduction","score":0.902999997138977},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"logistic regression","score":0.8740000128746033},{"id":"https://openalex.org/keywords/business-failure","display_name":"business failure","score":0.7590000033378601},{"id":"https://openalex.org/keywords/spanish-firms","display_name":"Spanish companies","score":0.8339999914169312}],"concepts":[{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.8935373425483704},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.641062319278717},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5369021892547607},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49829888343811035},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.44303980469703674},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.43031615018844604},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.41871756315231323},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3944234848022461},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39062270522117615},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33385056257247925},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.33089423179626465},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.2756393551826477},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:1040628","doi":null,"is_oa":false,"landing_page_url":"http://latienda.ie.edu/working_papers_economia/wp04-30.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W45777471","https://openalex.org/W1511107582","https://openalex.org/W1521241147","https://openalex.org/W1523989055","https://openalex.org/W1526930689","https://openalex.org/W1534159861","https://openalex.org/W1562345870","https://openalex.org/W1564692831","https://openalex.org/W1570713908","https://openalex.org/W1592524235","https://openalex.org/W1606544556","https://openalex.org/W1974375626","https://openalex.org/W2006680549","https://openalex.org/W2011414287","https://openalex.org/W2017337590","https://openalex.org/W2019213524","https://openalex.org/W2020848494","https://openalex.org/W2028438572","https://openalex.org/W2038530011","https://openalex.org/W2042272696","https://openalex.org/W2048801439","https://openalex.org/W2064031858","https://openalex.org/W2077218694","https://openalex.org/W2083417201","https://openalex.org/W2090275183","https://openalex.org/W2124532504","https://openalex.org/W2127056481","https://openalex.org/W2130759652","https://openalex.org/W2131022537","https://openalex.org/W2148502604","https://openalex.org/W2148633389","https://openalex.org/W2149851883","https://openalex.org/W2153285419","https://openalex.org/W2161000732","https://openalex.org/W2162515926","https://openalex.org/W2169474690","https://openalex.org/W2171724285","https://openalex.org/W2278462387","https://openalex.org/W3021194744","https://openalex.org/W3124792125"],"related_works":["https://openalex.org/W6986619094","https://openalex.org/W7051864493","https://openalex.org/W3082407050","https://openalex.org/W2942169713","https://openalex.org/W7052349641","https://openalex.org/W1877924693","https://openalex.org/W2299558487","https://openalex.org/W2019740928","https://openalex.org/W1987080297","https://openalex.org/W2007670658"],"abstract_inverted_index":{"We":[0],"use":[1,23],"GRASP":[2,25,104],"strategies":[3],"to":[4,12,27,38,45,130],"solve":[5],"the":[6,24,79,88,94,97,131,134],"problem":[7],"of":[8,31,42,52,65,81,87,101,112,127,133],"selecting":[9],"financial":[10,32,113,137],"ratios":[11,33,114],"model":[13,41,126],"and":[14,92,96],"predict":[15],"business":[16],"failure.":[17],"As":[18],"a":[19,29,40,50,109,125],"previous":[20],"step,":[21],"we":[22,57],"procedure":[26,105],"select":[28],"subset":[30,111],"that":[34],"are":[35],"then":[36],"used":[37],"estimate":[39],"logistic":[43,128],"regression":[44,129],"anticipate":[46],"finanical":[47],"distress":[48],"on":[49],"sample":[51],"Spanish":[53],"firms.":[54],"The":[55,99],"algorithm":[56],"suggest":[58],"is":[59],"designed":[60],"\u201cad-hoc\u201d":[61],"for":[62],"this":[63],"type":[64],"variables.":[66],"Reducing":[67],"dimensionality":[68],"has":[69],"several":[70],"advantages":[71],"(Inza":[72],"et":[73],"al.":[74],"2000)":[75],"such":[76],"as":[77],"reducing":[78],"cost":[80],"data":[82],"acquisition,":[83],"bette":[84],"r":[85],"understanding":[86],"final":[89],"classification":[90],"model,":[91],"increasing":[93],"efficiency":[95],"efficacy.":[98],"application":[100],"t":[102,106],"he":[103],"o":[107],"preselect":[108],"reduced":[110],"g":[115],"enerated":[116],"better":[117],"results":[118],"than":[119],"those":[120],"obtained":[121],"directly":[122],"by":[123],"applying":[124],"set":[132],"141":[135],"original":[136],"ratios.":[138]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2016-06-24T00:00:00"}