{"id":"https://openalex.org/W4408689216","doi":"https://doi.org/10.1145/3716895.3717007","title":"Research on stock investment risk control based on multi-agent","display_name":"Research on stock investment risk control based on multi-agent","publication_year":2024,"publication_date":"2024-11-08","ids":{"openalex":"https://openalex.org/W4408689216","doi":"https://doi.org/10.1145/3716895.3717007"},"language":"en","primary_location":{"id":"doi:10.1145/3716895.3717007","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3716895.3717007","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3716895.3717007?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Artificial Intelligence and Computer Engineering","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3716895.3717007?download=true","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5108570294","display_name":"Xiaoyan Teng","orcid":"https://orcid.org/0009-0006-5804-9597"},"institutions":[{"id":"https://openalex.org/I163151501","display_name":"Hangzhou Normal University","ror":"https://ror.org/014v1mr15","country_code":"CN","type":"education","lineage":["https://openalex.org/I163151501"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaojian Teng","raw_affiliation_strings":["Hangzhou Normal University Institute of Information Science and Technology, Hangzhou, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"Hangzhou Normal University Institute of Information Science and Technology, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I163151501"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100425309","display_name":"Liang Zhang","orcid":"https://orcid.org/0009-0003-8498-7315"},"institutions":[{"id":"https://openalex.org/I163151501","display_name":"Hangzhou Normal University","ror":"https://ror.org/014v1mr15","country_code":"CN","type":"education","lineage":["https://openalex.org/I163151501"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Zhang","raw_affiliation_strings":["Hangzhou Normal University Institute of Information Science and Technology, Hangzhou, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"Hangzhou Normal University Institute of Information Science and Technology, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I163151501"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084283427","display_name":"Chuanwei Yu","orcid":"https://orcid.org/0009-0008-5992-8440"},"institutions":[{"id":"https://openalex.org/I163151501","display_name":"Hangzhou Normal University","ror":"https://ror.org/014v1mr15","country_code":"CN","type":"education","lineage":["https://openalex.org/I163151501"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuanwei Yu","raw_affiliation_strings":["Hangzhou Normal University Institute of Information Science and Technology, Hangzhou, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"Hangzhou Normal University Institute of Information Science and Technology, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I163151501"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5108570294"],"corresponding_institution_ids":["https://openalex.org/I163151501"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.34469118,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"635","last_page":"638"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.992900013923645,"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":0.992900013923645,"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":0.9164999723434448,"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/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9009000062942505,"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/stock","display_name":"Stock (firearms)","score":0.5962857604026794},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.4537816047668457},{"id":"https://openalex.org/keywords/investment","display_name":"Investment (military)","score":0.4142736792564392},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3652154505252838},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10169744491577148}],"concepts":[{"id":"https://openalex.org/C204036174","wikidata":"https://www.wikidata.org/wiki/Q909380","display_name":"Stock (firearms)","level":2,"score":0.5962857604026794},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.4537816047668457},{"id":"https://openalex.org/C27548731","wikidata":"https://www.wikidata.org/wiki/Q88272","display_name":"Investment (military)","level":3,"score":0.4142736792564392},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3652154505252838},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10169744491577148},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3716895.3717007","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3716895.3717007","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3716895.3717007?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Artificial Intelligence and Computer Engineering","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3716895.3717007","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3716895.3717007","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3716895.3717007?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Artificial Intelligence and Computer Engineering","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.46000000834465027,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4408689216.pdf","grobid_xml":"https://content.openalex.org/works/W4408689216.grobid-xml"},"referenced_works_count":7,"referenced_works":["https://openalex.org/W1969852690","https://openalex.org/W2865675487","https://openalex.org/W2883599634","https://openalex.org/W3047659929","https://openalex.org/W4291247454","https://openalex.org/W4384257603","https://openalex.org/W4390226881"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Stock":[0],"market":[1,118],"forecasting":[2],"and":[3,12,64,112],"trading":[4],"strategies":[5],"have":[6],"been":[7],"widely":[8],"studied":[9],"in":[10,41,80,102,106],"finance":[11],"artificial":[13],"intelligence.":[14],"Due":[15],"to":[16,25,70,121],"the":[17,20,27,77,85,89,100],"volatility":[18],"of":[19,29,68,92,108],"stock":[21,117],"market,":[22],"investors":[23],"need":[24],"bear":[26],"risk":[28,78],"investment":[30,93,110],"loss.":[31],"To":[32,74],"solve":[33],"this":[34,42,82,103],"problem,":[35],"a":[36,47,66],"Multi-Agent-Dense":[37],"method":[38,45,101],"is":[39],"proposed":[40],"paper.":[43],"The":[44,95],"constructs":[46],"single":[48],"agent":[49],"by":[50,59],"using":[51,60],"Deep":[52],"Reinforcement":[53],"learning,":[54],"then":[55],"extracts":[56],"multiple":[57,116],"agents":[58,69],"multi-point":[61],"truncation":[62],"technique,":[63],"designs":[65],"network":[67],"integrate":[71],"these":[72],"agents.":[73],"better":[75],"reflect":[76],"situation":[79],"investment,":[81],"paper":[83,104],"uses":[84],"Maximum":[86,113],"Drawdown":[87,114],"as":[88],"evaluation":[90],"metric":[91],"risk.":[94],"final":[96],"results":[97],"show":[98],"that":[99],"outperforms":[105],"terms":[107],"average":[109],"return":[111],"on":[115],"indices":[119],"compared":[120],"other":[122],"methods.":[123]},"counts_by_year":[],"updated_date":"2026-03-12T06:13:28.667946","created_date":"2025-10-10T00:00:00"}
