{"id":"https://openalex.org/W2103344240","doi":"https://doi.org/10.1109/icsmc.2007.4413654","title":"Using genetic algorithms to predict financial performance --Evidence from China","display_name":"Using genetic algorithms to predict financial performance --Evidence from China","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2103344240","doi":"https://doi.org/10.1109/icsmc.2007.4413654","mag":"2103344240"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2007.4413654","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2007.4413654","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Conference on Systems, Man and Cybernetics","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"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/A5074222561","display_name":"Yanxia Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanxia Jiang","raw_affiliation_strings":["School of Mangement, Xi'an Jiaotong University, Xi'an, China","Xi\u2019an JiaoTong University, Xi\u2019an,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mangement, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Xi\u2019an JiaoTong University, Xi\u2019an,","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047633571","display_name":"KE Da-gang","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dagang Ke","raw_affiliation_strings":["School of Mangement, Xi'an Jiaotong University, Xi'an, China","School of Mangement, Xi\u00bfan Jiaotong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mangement, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Mangement, Xi\u00bfan Jiaotong University, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100424222","display_name":"Yongjun Wang","orcid":"https://orcid.org/0000-0002-9976-2341"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongjun Wang","raw_affiliation_strings":["School of Science, Xi'an Jiaotong University, Xi'an, China","School of Science Xi\u2019an Jiaotong University CHINA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Science Xi\u2019an Jiaotong University CHINA","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112656299","display_name":"Lida Xu","orcid":"https://orcid.org/0000-0003-2467-6120"},"institutions":[{"id":"https://openalex.org/I4210133369","display_name":"Decision Sciences (United States)","ror":"https://ror.org/03gcvf773","country_code":"US","type":"company","lineage":["https://openalex.org/I4210133369"]},{"id":"https://openalex.org/I81365321","display_name":"Old Dominion University","ror":"https://ror.org/04zjtrb98","country_code":"US","type":"education","lineage":["https://openalex.org/I81365321"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lida Xu","raw_affiliation_strings":["Department of Information Technology and Decision Sciences, Old Dominion University, Norfolk, USA","[Department of Information Technology and Decision Sciences, Old Dominion University, Norfolk, VA23529 USA.]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Technology and Decision Sciences, Old Dominion University, Norfolk, USA","institution_ids":["https://openalex.org/I4210133369","https://openalex.org/I81365321"]},{"raw_affiliation_string":"[Department of Information Technology and Decision Sciences, Old Dominion University, Norfolk, VA23529 USA.]","institution_ids":["https://openalex.org/I81365321"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"3225","last_page":"3229"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.9753000140190125,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.970300018787384,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.6790132522583008},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.652821958065033},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6446110010147095},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.564214289188385},{"id":"https://openalex.org/keywords/financial-statement","display_name":"Financial statement","score":0.5475966334342957},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5080602169036865},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5072912573814392},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4900277853012085},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.47111108899116516},{"id":"https://openalex.org/keywords/earnings","display_name":"Earnings","score":0.44082021713256836},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.3846256732940674},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37135303020477295},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3400668501853943},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3344951868057251},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18096518516540527},{"id":"https://openalex.org/keywords/accounting","display_name":"Accounting","score":0.10136756300926208},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.0985565185546875},{"id":"https://openalex.org/keywords/audit","display_name":"Audit","score":0.07257184386253357}],"concepts":[{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.6790132522583008},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.652821958065033},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6446110010147095},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.564214289188385},{"id":"https://openalex.org/C2781027943","wikidata":"https://www.wikidata.org/wiki/Q192907","display_name":"Financial statement","level":3,"score":0.5475966334342957},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5080602169036865},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5072912573814392},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4900277853012085},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.47111108899116516},{"id":"https://openalex.org/C2781426361","wikidata":"https://www.wikidata.org/wiki/Q5326940","display_name":"Earnings","level":2,"score":0.44082021713256836},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.3846256732940674},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37135303020477295},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3400668501853943},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3344951868057251},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18096518516540527},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.10136756300926208},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0985565185546875},{"id":"https://openalex.org/C199521495","wikidata":"https://www.wikidata.org/wiki/Q181487","display_name":"Audit","level":2,"score":0.07257184386253357}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsmc.2007.4413654","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2007.4413654","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Conference on Systems, Man and Cybernetics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7699999809265137}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W10640080","https://openalex.org/W54856291","https://openalex.org/W131921761","https://openalex.org/W639355599","https://openalex.org/W1507010987","https://openalex.org/W1583464947","https://openalex.org/W1977006273","https://openalex.org/W1987857303","https://openalex.org/W1995319408","https://openalex.org/W2005346797","https://openalex.org/W2028569720","https://openalex.org/W2029759845","https://openalex.org/W2070181657","https://openalex.org/W2078309414","https://openalex.org/W2126883864","https://openalex.org/W2131773668","https://openalex.org/W2148965563","https://openalex.org/W3122559989","https://openalex.org/W4231546411","https://openalex.org/W6605303680","https://openalex.org/W6635024065"],"related_works":["https://openalex.org/W2250488071","https://openalex.org/W2356150353","https://openalex.org/W2380744779","https://openalex.org/W1999647744","https://openalex.org/W2018643641","https://openalex.org/W2469878540","https://openalex.org/W2765337000","https://openalex.org/W2967867994","https://openalex.org/W2112264450","https://openalex.org/W2113454941"],"abstract_inverted_index":{"This":[0],"study":[1,32],"applies":[2],"genetic":[3],"algorithms":[4],"to":[5,13],"select":[6],"financial":[7],"statement":[8],"variables":[9],"which":[10],"are":[11],"used":[12],"predict":[14],"the":[15,23,48],"direction":[16],"of":[17,26],"one-year-ahead":[18],"earnings":[19],"change.":[20],"To":[21],"evaluate":[22],"forecasting":[24],"ability":[25],"GA-based-linear":[27],"discriminant":[28],"analysis":[29],"(GA-LDA),":[30],"this":[31],"compares":[33],"it":[34],"with":[35],"probabilistic":[36],"neural":[37],"network":[38],"and":[39],"decision":[40],"tree":[41],"model.":[42],"The":[43],"experiment":[44],"results":[45],"show":[46],"that":[47],"GA":[49],"-LDA":[50],"model":[51],"outperforms":[52],"other":[53],"classification":[54],"methods.":[55]},"counts_by_year":[],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}