{"id":"https://openalex.org/W2083069677","doi":"https://doi.org/10.1142/s1793536911000878","title":"HYBRID DECOMPOSITION AND ENSEMBLE FRAMEWORK FOR STOCK PRICE FORECASTING: A COMPARATIVE STUDY","display_name":"HYBRID DECOMPOSITION AND ENSEMBLE FRAMEWORK FOR STOCK PRICE FORECASTING: A COMPARATIVE STUDY","publication_year":2011,"publication_date":"2011-10-01","ids":{"openalex":"https://openalex.org/W2083069677","doi":"https://doi.org/10.1142/s1793536911000878","mag":"2083069677"},"language":"en","primary_location":{"id":"doi:10.1142/s1793536911000878","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1793536911000878","pdf_url":null,"source":{"id":"https://openalex.org/S16439242","display_name":"Advances in Adaptive Data Analysis","issn_l":"1793-5369","issn":["1793-5369","1793-7175"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Adaptive Data Analysis","raw_type":"journal-article"},"type":"article","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/A5101439583","display_name":"Tao Xiong","orcid":"https://orcid.org/0000-0001-8294-0327"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"TAO XIONG","raw_affiliation_strings":["Department of Management Science and Information Systems, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan, 430074, P. R. China"],"affiliations":[{"raw_affiliation_string":"Department of Management Science and Information Systems, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan, 430074, P. R. China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027578915","display_name":"Yukun Bao","orcid":"https://orcid.org/0000-0001-5418-8799"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"YUKUN BAO","raw_affiliation_strings":["Department of Management Science and Information Systems, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan, 430074, P. R. China"],"affiliations":[{"raw_affiliation_string":"Department of Management Science and Information Systems, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan, 430074, P. R. China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101599982","display_name":"Zhongyi Hu","orcid":"https://orcid.org/0000-0002-1113-0199"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"ZHONGYI HU","raw_affiliation_strings":["Department of Management Science and Information Systems, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan, 430074, P. R. China"],"affiliations":[{"raw_affiliation_string":"Department of Management Science and Information Systems, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan, 430074, P. R. China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100422071","display_name":"Rui Zhang","orcid":"https://orcid.org/0000-0002-6500-6556"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"RUI ZHANG","raw_affiliation_strings":["Department of Management Science and Information Systems, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan, 430074, P. R. China"],"affiliations":[{"raw_affiliation_string":"Department of Management Science and Information Systems, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan, 430074, P. R. China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100602287","display_name":"Jinlong Zhang","orcid":"https://orcid.org/0000-0002-1161-5460"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"JINLONG ZHANG","raw_affiliation_strings":["Department of Management Science and Information Systems, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan, 430074, P. R. China"],"affiliations":[{"raw_affiliation_string":"Department of Management Science and Information Systems, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan, 430074, P. R. China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101439583"],"corresponding_institution_ids":["https://openalex.org/I47720641"],"apc_list":null,"apc_paid":null,"fwci":0.8194,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.76889437,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"03","issue":"04","first_page":"447","last_page":"482"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9997000098228455,"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":0.9997000098228455,"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":0.995199978351593,"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"}},{"id":"https://openalex.org/T11059","display_name":"Market Dynamics and Volatility","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.7618822455406189},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.6677156090736389},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6661891341209412},{"id":"https://openalex.org/keywords/mean-absolute-percentage-error","display_name":"Mean absolute percentage error","score":0.6530627012252808},{"id":"https://openalex.org/keywords/autoregressive-integrated-moving-average","display_name":"Autoregressive integrated moving average","score":0.6336901187896729},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.48660600185394287},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48596179485321045},{"id":"https://openalex.org/keywords/stock-exchange","display_name":"Stock exchange","score":0.47436651587486267},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.44239065051078796},{"id":"https://openalex.org/keywords/ensemble-forecasting","display_name":"Ensemble forecasting","score":0.4382336139678955},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.4148778021335602},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3708290755748749},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3360692858695984},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3191520571708679},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3061452805995941},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.10586261749267578}],"concepts":[{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.7618822455406189},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.6677156090736389},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6661891341209412},{"id":"https://openalex.org/C150217764","wikidata":"https://www.wikidata.org/wiki/Q6803607","display_name":"Mean absolute percentage error","level":3,"score":0.6530627012252808},{"id":"https://openalex.org/C24338571","wikidata":"https://www.wikidata.org/wiki/Q2566298","display_name":"Autoregressive integrated moving average","level":3,"score":0.6336901187896729},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.48660600185394287},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48596179485321045},{"id":"https://openalex.org/C200870193","wikidata":"https://www.wikidata.org/wiki/Q11691","display_name":"Stock exchange","level":2,"score":0.47436651587486267},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.44239065051078796},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.4382336139678955},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.4148778021335602},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3708290755748749},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3360692858695984},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3191520571708679},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3061452805995941},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.10586261749267578},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s1793536911000878","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1793536911000878","pdf_url":null,"source":{"id":"https://openalex.org/S16439242","display_name":"Advances in Adaptive Data Analysis","issn_l":"1793-5369","issn":["1793-5369","1793-7175"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Adaptive Data Analysis","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.47999998927116394}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321883","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1506766181","https://openalex.org/W1964357740","https://openalex.org/W1965806369","https://openalex.org/W1979575715","https://openalex.org/W1981531537","https://openalex.org/W1986078433","https://openalex.org/W1986478348","https://openalex.org/W1988544648","https://openalex.org/W1990497493","https://openalex.org/W1999996900","https://openalex.org/W2003626215","https://openalex.org/W2005026312","https://openalex.org/W2007221293","https://openalex.org/W2015544881","https://openalex.org/W2024804972","https://openalex.org/W2037931255","https://openalex.org/W2038844583","https://openalex.org/W2077640070","https://openalex.org/W2108959409","https://openalex.org/W2120390927","https://openalex.org/W2120911092","https://openalex.org/W2137983211","https://openalex.org/W2156909104","https://openalex.org/W2313953460","https://openalex.org/W2477788535","https://openalex.org/W4291327732","https://openalex.org/W4298330243"],"related_works":["https://openalex.org/W3139222185","https://openalex.org/W2115811963","https://openalex.org/W2953369890","https://openalex.org/W4379469318","https://openalex.org/W4309504760","https://openalex.org/W1767322088","https://openalex.org/W2989181651","https://openalex.org/W74935964","https://openalex.org/W2056376122","https://openalex.org/W4309705351"],"abstract_inverted_index":{"In":[0],"this":[1],"study,":[2],"a":[3,40,48],"hybrid":[4,96,162,174,185],"decomposition":[5,13,163],"and":[6,15,47,91,121,164,205],"ensemble":[7,74,165],"framework":[8,97,166,178,189],"incorporating":[9],"Ensemble":[10],"empirical":[11],"mode":[12,44],"(EEMD)":[14],"selected":[16],"modeling":[17,100,171,177,188],"methodologies":[18],"are":[19],"proposed":[20,95,161],"for":[21,76,147],"stock":[22,30,79],"price":[23,31,80,131],"forecasting.":[24],"Under":[25],"the":[26,28,63,77,89,94,109,160,169,180],"framework,":[27],"original":[29,78],"series":[32,132],"was":[33,56,85,145],"first":[34],"decomposed":[35],"into":[36],"several":[37],"subseries":[38,55,68],"including":[39],"number":[41],"of":[42,65,93,111,133,194],"intrinsic":[43],"functions":[45],"(IMFs)":[46],"residue":[49],"using":[50],"EEMD":[51],"technique.":[52],"Then,":[53],"extracted":[54,67],"modeled":[57],"to":[58,71,87],"generate":[59],"forecasts":[60,64,75],"respectively.":[61],"Finally,":[62],"all":[66,168],"were":[69],"aggregated":[70],"produce":[72],"an":[73],"series.":[81],"An":[82],"extensive":[83],"experiment":[84],"conducted":[86],"compare":[88],"feasibility":[90],"validity":[92],"employing":[98],"different":[99],"methodologies,":[101,172],"such":[102],"as":[103],"support":[104,112],"vector":[105,113],"machines":[106],"(SVMs)":[107],"(in":[108],"formulation":[110],"regression":[114],"(SVR),":[115],"feed":[116],"forward":[117],"neural":[118],"networks":[119],"(FNN),":[120],"autoregressive":[122],"integrated":[123],"moving":[124],"average":[125],"(ARIMA).":[126],"The":[127,150],"real":[128],"daily":[129],"closing":[130],"Thirty":[134],"Dow":[135],"Jones":[136],"industrial":[137],"stocks":[138],"from":[139],"New":[140],"York":[141],"Stock":[142],"Exchange":[143],"(NYSE)":[144],"used":[146],"experimental":[148],"evaluation.":[149],"results":[151],"demonstrate":[152],"that":[153],"significant":[154,182],"improvement":[155,183],"can":[156],"be":[157],"achieved":[158,179],"with":[159],"across":[167],"three":[170],"particularly,":[173],"EEMD-based":[175,186],"FNN":[176],"most":[181],"but":[184],"SVMs":[187],"performed":[190],"best":[191],"in":[192],"terms":[193],"root":[195],"mean":[196,200],"squared":[197],"error":[198,203],"(RMSE),":[199],"absolute":[201],"percentage":[202],"(MAPE),":[204],"directional":[206],"symmetry":[207],"(DS).":[208]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
