{"id":"https://openalex.org/W7160707639","doi":"https://doi.org/10.1007/s10618-026-01201-2","title":"Dynamic asymmetric relational learning for stock price movement prediction","display_name":"Dynamic asymmetric relational learning for stock price movement prediction","publication_year":2026,"publication_date":"2026-05-09","ids":{"openalex":"https://openalex.org/W7160707639","doi":"https://doi.org/10.1007/s10618-026-01201-2"},"language":"en","primary_location":{"id":"doi:10.1007/s10618-026-01201-2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10618-026-01201-2","pdf_url":null,"source":{"id":"https://openalex.org/S121920818","display_name":"Data Mining and Knowledge Discovery","issn_l":"1384-5810","issn":["1384-5810","1573-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Mining and Knowledge Discovery","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/A5034834099","display_name":"Ruifeng Yang","orcid":"https://orcid.org/0009-0009-4878-1727"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruifeng Yang","raw_affiliation_strings":["East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135741534","display_name":"Mingyuan Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingyuan Fan","raw_affiliation_strings":["East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135765331","display_name":"Fengran Mo","orcid":null},"institutions":[{"id":"https://openalex.org/I70931966","display_name":"Universit\u00e9 de Montr\u00e9al","ror":"https://ror.org/0161xgx34","country_code":"CA","type":"education","lineage":["https://openalex.org/I70931966"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Fengran Mo","raw_affiliation_strings":["Universit\u00e9 de Montr\u00e9al, Montr\u00e9al, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e9 de Montr\u00e9al, Montr\u00e9al, Canada","institution_ids":["https://openalex.org/I70931966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135749203","display_name":"Hua Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I4210159961","display_name":"Dingxi City People's Hospital","ror":"https://ror.org/04scxn105","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210159961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Wei","raw_affiliation_strings":["Didi Chuxing, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Didi Chuxing, Shanghai, China","institution_ids":["https://openalex.org/I4210159961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5135761275","display_name":"Cen Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Cen Chen","raw_affiliation_strings":["East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5135761275"],"corresponding_institution_ids":["https://openalex.org/I66867065"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.95261132,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":"4","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9825000166893005,"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":0.9825000166893005,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.003800000064074993,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12761","display_name":"Data Stream Mining Techniques","score":0.0012000000569969416,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/stock-market","display_name":"Stock market","score":0.4887000024318695},{"id":"https://openalex.org/keywords/snapshot","display_name":"Snapshot (computer storage)","score":0.4172999858856201},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.41119998693466187},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4092999994754791},{"id":"https://openalex.org/keywords/financial-market","display_name":"Financial market","score":0.3885999917984009},{"id":"https://openalex.org/keywords/trading-strategy","display_name":"Trading strategy","score":0.382099986076355},{"id":"https://openalex.org/keywords/stock","display_name":"Stock (firearms)","score":0.36500000953674316},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.34929999709129333}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7174000144004822},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5418000221252441},{"id":"https://openalex.org/C2780299701","wikidata":"https://www.wikidata.org/wiki/Q475000","display_name":"Stock market","level":3,"score":0.4887000024318695},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4424000084400177},{"id":"https://openalex.org/C55282118","wikidata":"https://www.wikidata.org/wiki/Q252683","display_name":"Snapshot (computer storage)","level":2,"score":0.4172999858856201},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.41119998693466187},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4092999994754791},{"id":"https://openalex.org/C19244329","wikidata":"https://www.wikidata.org/wiki/Q208697","display_name":"Financial market","level":2,"score":0.3885999917984009},{"id":"https://openalex.org/C131562839","wikidata":"https://www.wikidata.org/wiki/Q1574928","display_name":"Trading strategy","level":2,"score":0.382099986076355},{"id":"https://openalex.org/C204036174","wikidata":"https://www.wikidata.org/wiki/Q909380","display_name":"Stock (firearms)","level":2,"score":0.36500000953674316},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.34929999709129333},{"id":"https://openalex.org/C202615002","wikidata":"https://www.wikidata.org/wiki/Q783507","display_name":"Differentiable function","level":2,"score":0.3452000021934509},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3330000042915344},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.28619998693466187},{"id":"https://openalex.org/C76178495","wikidata":"https://www.wikidata.org/wiki/Q4808784","display_name":"Asset (computer security)","level":2,"score":0.27390000224113464},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2655999958515167},{"id":"https://openalex.org/C181236170","wikidata":"https://www.wikidata.org/wiki/Q848354","display_name":"Capital asset pricing model","level":2,"score":0.26429998874664307},{"id":"https://openalex.org/C200870193","wikidata":"https://www.wikidata.org/wiki/Q11691","display_name":"Stock exchange","level":2,"score":0.26179999113082886},{"id":"https://openalex.org/C137577040","wikidata":"https://www.wikidata.org/wiki/Q431965","display_name":"Information asymmetry","level":2,"score":0.2556000053882599},{"id":"https://openalex.org/C78508483","wikidata":"https://www.wikidata.org/wiki/Q139445","display_name":"Algorithmic trading","level":2,"score":0.2551000118255615},{"id":"https://openalex.org/C2776256503","wikidata":"https://www.wikidata.org/wiki/Q7617906","display_name":"Stock market prediction","level":4,"score":0.25429999828338623},{"id":"https://openalex.org/C51926234","wikidata":"https://www.wikidata.org/wiki/Q3312426","display_name":"Market microstructure","level":3,"score":0.2531999945640564}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10618-026-01201-2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10618-026-01201-2","pdf_url":null,"source":{"id":"https://openalex.org/S121920818","display_name":"Data Mining and Knowledge Discovery","issn_l":"1384-5810","issn":["1384-5810","1573-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Mining and Knowledge Discovery","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1972852586","https://openalex.org/W2037841399","https://openalex.org/W2064675550","https://openalex.org/W2074812030","https://openalex.org/W2120087808","https://openalex.org/W2163922914","https://openalex.org/W2263098707","https://openalex.org/W2624385633","https://openalex.org/W2626778328","https://openalex.org/W2774513877","https://openalex.org/W2798413829","https://openalex.org/W2800569739","https://openalex.org/W2905967084","https://openalex.org/W2952369555","https://openalex.org/W2964413206","https://openalex.org/W2970016095","https://openalex.org/W3003778769","https://openalex.org/W3009639844","https://openalex.org/W3120269867","https://openalex.org/W3121792421","https://openalex.org/W3125594251","https://openalex.org/W3170487013","https://openalex.org/W3208499031","https://openalex.org/W3216532825","https://openalex.org/W4234970146","https://openalex.org/W4285333958","https://openalex.org/W4293536495","https://openalex.org/W4302423442","https://openalex.org/W4307477977","https://openalex.org/W4311415873","https://openalex.org/W4385571869","https://openalex.org/W4387561305","https://openalex.org/W4390489590","https://openalex.org/W4392931493","https://openalex.org/W4393158552","https://openalex.org/W4401172574","https://openalex.org/W4401841622","https://openalex.org/W4402619928","https://openalex.org/W4403052074","https://openalex.org/W4403481407","https://openalex.org/W4408298007","https://openalex.org/W4409038163","https://openalex.org/W4412390730","https://openalex.org/W4415797765","https://openalex.org/W4416018108","https://openalex.org/W4416020460"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-05-11T06:02:39.374780","created_date":"2026-05-10T00:00:00"}