{"id":"https://openalex.org/W3055413206","doi":"https://doi.org/10.1109/iske47853.2019.9170275","title":"Competitive Behavior of Chinese Stock Investors Based on Lotka-Voterra Biological Model and Declarative Game","display_name":"Competitive Behavior of Chinese Stock Investors Based on Lotka-Voterra Biological Model and Declarative Game","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3055413206","doi":"https://doi.org/10.1109/iske47853.2019.9170275","mag":"3055413206"},"language":"en","primary_location":{"id":"doi:10.1109/iske47853.2019.9170275","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iske47853.2019.9170275","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","raw_type":"proceedings-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/A5101088037","display_name":"Xiaoyue Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I4210092944","display_name":"Dalian University","ror":"https://ror.org/00g2ypp58","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210092944"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyue Zhou","raw_affiliation_strings":["Dalian University,College of Information Engineering,Dalian,China","College of Information Engineering, Dalian University, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian University,College of Information Engineering,Dalian,China","institution_ids":["https://openalex.org/I4210092944"]},{"raw_affiliation_string":"College of Information Engineering, Dalian University, Dalian, China","institution_ids":["https://openalex.org/I4210092944"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083933053","display_name":"Yuan Tian","orcid":"https://orcid.org/0000-0002-3909-4177"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Tian","raw_affiliation_strings":["Dalian Maritime University,School of Science,Dalian,China","School of Science, Dalian Maritime University, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian Maritime University,School of Science,Dalian,China","institution_ids":["https://openalex.org/I43313876"]},{"raw_affiliation_string":"School of Science, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068871363","display_name":"Kaiqi Zou","orcid":null},"institutions":[{"id":"https://openalex.org/I4210089192","display_name":"Chengdu Institute of Information Technology (China)","ror":"https://ror.org/00bwfrq04","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210089192"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaiqi Zou","raw_affiliation_strings":["Research Institute of Chengdu Sichuan Chain BigData Research Center,Block Chain Intelligent Application,Chengdu,China","Block Chain Intelligent Application, Research Institute of Chengdu Sichuan Chain BigData Research Center, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Institute of Chengdu Sichuan Chain BigData Research Center,Block Chain Intelligent Application,Chengdu,China","institution_ids":["https://openalex.org/I4210089192"]},{"raw_affiliation_string":"Block Chain Intelligent Application, Research Institute of Chengdu Sichuan Chain BigData Research Center, Chengdu, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26519888,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"361","last_page":"365"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9993000030517578,"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"}},{"id":"https://openalex.org/T10047","display_name":"Financial Markets and Investment Strategies","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/2003","display_name":"Finance"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9714999794960022,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/institutional-investor","display_name":"Institutional investor","score":0.6275293231010437},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.6094551682472229},{"id":"https://openalex.org/keywords/stock-market","display_name":"Stock market","score":0.5454859733581543},{"id":"https://openalex.org/keywords/china","display_name":"China","score":0.5242955088615417},{"id":"https://openalex.org/keywords/profit","display_name":"Profit (economics)","score":0.5225186347961426},{"id":"https://openalex.org/keywords/information-asymmetry","display_name":"Information asymmetry","score":0.47166407108306885},{"id":"https://openalex.org/keywords/stock","display_name":"Stock (firearms)","score":0.46400538086891174},{"id":"https://openalex.org/keywords/investment","display_name":"Investment (military)","score":0.4344741702079773},{"id":"https://openalex.org/keywords/industrial-organization","display_name":"Industrial organization","score":0.3956432640552521},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.3742239475250244},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.2890496253967285},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.27722758054733276},{"id":"https://openalex.org/keywords/corporate-governance","display_name":"Corporate governance","score":0.1746705174446106}],"concepts":[{"id":"https://openalex.org/C206757995","wikidata":"https://www.wikidata.org/wiki/Q1665188","display_name":"Institutional investor","level":3,"score":0.6275293231010437},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.6094551682472229},{"id":"https://openalex.org/C2780299701","wikidata":"https://www.wikidata.org/wiki/Q475000","display_name":"Stock market","level":3,"score":0.5454859733581543},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.5242955088615417},{"id":"https://openalex.org/C181622380","wikidata":"https://www.wikidata.org/wiki/Q26911","display_name":"Profit (economics)","level":2,"score":0.5225186347961426},{"id":"https://openalex.org/C137577040","wikidata":"https://www.wikidata.org/wiki/Q431965","display_name":"Information asymmetry","level":2,"score":0.47166407108306885},{"id":"https://openalex.org/C204036174","wikidata":"https://www.wikidata.org/wiki/Q909380","display_name":"Stock (firearms)","level":2,"score":0.46400538086891174},{"id":"https://openalex.org/C27548731","wikidata":"https://www.wikidata.org/wiki/Q88272","display_name":"Investment (military)","level":3,"score":0.4344741702079773},{"id":"https://openalex.org/C40700","wikidata":"https://www.wikidata.org/wiki/Q1411783","display_name":"Industrial organization","level":1,"score":0.3956432640552521},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.3742239475250244},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.2890496253967285},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.27722758054733276},{"id":"https://openalex.org/C39389867","wikidata":"https://www.wikidata.org/wiki/Q380767","display_name":"Corporate governance","level":2,"score":0.1746705174446106},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C2780762169","wikidata":"https://www.wikidata.org/wiki/Q5905368","display_name":"Horse","level":2,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iske47853.2019.9170275","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iske47853.2019.9170275","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W2435962227","https://openalex.org/W3121467893"],"related_works":["https://openalex.org/W2384244427","https://openalex.org/W2954796460","https://openalex.org/W2368115531","https://openalex.org/W2772663399","https://openalex.org/W2504650960","https://openalex.org/W4387628842","https://openalex.org/W2591230998","https://openalex.org/W2060689766","https://openalex.org/W2367033926","https://openalex.org/W2370669686"],"abstract_inverted_index":{"In":[0,27],"China":[1,89,245],"A-share":[2,90],"market,":[3],"the":[4,16,20,30,43,74,85,93,99,107,110,124,130,136,139,142,149,152,160,193,220,234,241],"proportion":[5,22,223],"of":[6,15,79,88,101,109,126,151,163,184,192,237,244],"retail":[7,50,111,196,238],"investors":[8,18,48,57,103,112,143,175,197,239],"account":[9,227],"is":[10,25,96,231],"much":[11],"higher":[12],"than":[13],"that":[14,98,135,147],"institutional":[17,47,102],"while":[19],"shareholding":[21,222],"between":[23,46,138],"them":[24],"similar.":[26],"this":[28],"paper":[29],"Lotka-Voterra":[31,67],"biological":[32,64,68],"competition":[33,69],"model":[34,38,70,119],"and":[35,49,73,77,141,166,189,210,240],"declarative":[36,117],"game":[37,118],"were":[39,144],"proposed":[40],"to":[41,83,122,200,219,233],"study":[42],"competitive":[44],"relationship":[45],"investors.":[51],"Firstly,":[52],"we":[53],"regarded":[54],"Chinese":[55],"stock":[56,131,246],"as":[58],"two":[59],"populations":[60],"based":[61],"on":[62],"their":[63,185],"characteristics.":[65],"The":[66],"was":[71,120],"founded":[72],"local":[75],"stability":[76],"existence":[78],"equilibrium":[80],"are":[81,154,176,198],"gotten":[82],"express":[84],"different":[86],"stages":[87],"market.":[91,132,194,247],"And":[92],"future":[94],"trend":[95],"implied":[97],"amount":[100],"will":[104],"increase":[105],"with":[106,225],"existing":[108],"gradually.":[113],"Secondly":[114],"a":[115,202],"3*3":[116],"built":[121],"illustrate":[123],"problem":[125],"information":[127,182,215],"asymmetry":[128],"in":[129,212],"We":[133],"found":[134],"profit":[137],"company":[140],"not":[145,155,177],"consistent":[146],"make":[148,168],"declarations":[150,170],"companies":[153],"credible.":[156],"Companies":[157],"intentionally":[158],"conceal":[159],"true":[161],"situation":[162],"its":[164,226],"development":[165,243],"even":[167],"untrue":[169],"for":[171],"some":[172],"purpose.":[173],"Institutional":[174],"easily":[178],"misled":[179],"by":[180],"false":[181],"because":[183,204],"professional":[186,207],"investment":[187,208,235],"technology":[188],"long-term":[190,242],"analysis":[191],"But":[195],"likely":[199],"lose":[201],"lot":[203],"they":[205],"lack":[206],"skills":[209],"believe":[211],"so-called":[213],"insider":[214],"blindly":[216],"which":[217],"leads":[218],"lower":[221],"comparing":[224],"number.":[228],"Our":[229],"work":[230],"benefit":[232],"decision":[236]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
