{"id":"https://openalex.org/W2005877787","doi":"https://doi.org/10.1002/(sici)1099-1174(199703)6:1<11::aid-isaf115>3.0.co;2-3","title":"Stock Price Prediction Using Prior Knowledge and Neural Networks","display_name":"Stock Price Prediction Using Prior Knowledge and Neural Networks","publication_year":1997,"publication_date":"1997-03-01","ids":{"openalex":"https://openalex.org/W2005877787","doi":"https://doi.org/10.1002/(sici)1099-1174(199703)6:1<11::aid-isaf115>3.0.co;2-3","mag":"2005877787"},"language":"en","primary_location":{"id":"doi:10.1002/(sici)1099-1174(199703)6:1<11::aid-isaf115>3.0.co;2-3","doi":"https://doi.org/10.1002/(sici)1099-1174(199703)6:1<11::aid-isaf115>3.0.co;2-3","is_oa":false,"landing_page_url":"https://doi.org/10.1002/(sici)1099-1174(199703)6:1<11::aid-isaf115>3.0.co;2-3","pdf_url":null,"source":{"id":"https://openalex.org/S4394735491","display_name":"Intelligent systems in accounting, finance and management/Intelligent systems in accounting, finance & management","issn_l":"1055-615X","issn":["1055-615X","1099-1174","1550-1949","2160-0074"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["abdc-b","anvur-class-a","anvur-scientific","jufo-1","norway-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Systems in Accounting, Finance &amp; Management","raw_type":"journal-article"},"volume":null,"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/A5005231107","display_name":"Kazuhiro Kohara","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"KAZUHIRO KOHARA","raw_affiliation_strings":["NTT Information and Communication Systems Laboratories, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Information and Communication Systems Laboratories, Tokyo, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111423039","display_name":"Tsutomu Ishikawa","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I7377986","display_name":"Takushoku University","ror":"https://ror.org/05qh38f12","country_code":"JP","type":"education","lineage":["https://openalex.org/I7377986"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"TSUTOMU ISHIKAWA","raw_affiliation_strings":["Takushoku University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Takushoku University, Japan","institution_ids":["https://openalex.org/I7377986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113945513","display_name":"Yoshimi Fukuhara","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"YOSHIMI FUKUHARA","raw_affiliation_strings":["NTT Information and Communication Systems Laboratories, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Information and Communication Systems Laboratories, Tokyo, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035177210","display_name":"Yukihiro Nakamura","orcid":"https://orcid.org/0000-0002-8820-7780","observed_orcids":["https://orcid.org/0000-0002-8820-7780"]},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"YUKIHIRO NAKAMURA","raw_affiliation_strings":["Kyoto University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyoto University, Japan","institution_ids":["https://openalex.org/I22299242"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5005231107"],"corresponding_institution_ids":["https://openalex.org/I2251713219"],"apc_list":{"value":2900,"currency":"USD","value_usd":2900},"apc_paid":null,"fwci":1.2959,"has_fulltext":false,"cited_by_count":162,"citation_normalized_percentile":{"value":0.79528233,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":100},"biblio":{"volume":"6","issue":"1","first_page":"11","last_page":"22"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":1.0,"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":1.0,"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":0.0,"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/T10320","display_name":"Neural Networks and Applications","score":0.0,"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-price-prediction","display_name":"stock price prediction","score":0.9990000128746033},{"id":"https://openalex.org/keywords/prior-knowledge","display_name":"prior knowledge","score":0.8410000205039978},{"id":"https://openalex.org/keywords/neural-network","display_name":"artificial neural networks","score":0.9210000038146973},{"id":"https://openalex.org/keywords/event-knowledge","display_name":"event knowledge","score":0.6990000009536743},{"id":"https://openalex.org/keywords/newspaper-headlines","display_name":"news headlines","score":0.9789999723434448},{"id":"https://openalex.org/keywords/economic-indicators","display_name":"economic indicators","score":0.8650000095367432},{"id":"https://openalex.org/keywords/political-events","display_name":"political events","score":0.6809999942779541},{"id":"https://openalex.org/keywords/multivariate-forecasting","display_name":"multivariate forecasting","score":0.6620000004768372},{"id":"https://openalex.org/keywords/financial-forecasting","display_name":"financial forecasting","score":0.38499999046325684}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7174665927886963},{"id":"https://openalex.org/C201280247","wikidata":"https://www.wikidata.org/wiki/Q11032","display_name":"Newspaper","level":2,"score":0.6299286484718323},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6127001047134399},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.5523991584777832},{"id":"https://openalex.org/C204036174","wikidata":"https://www.wikidata.org/wiki/Q909380","display_name":"Stock (firearms)","level":2,"score":0.5491150617599487},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.48428481817245483},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4809795618057251},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4696813225746155},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.45413926243782043},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.44134050607681274},{"id":"https://openalex.org/C2988984586","wikidata":"https://www.wikidata.org/wiki/Q1020013","display_name":"Stock price","level":3,"score":0.43414193391799927},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.331190288066864},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17374950647354126},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13987743854522705},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.12173834443092346},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.09447452425956726},{"id":"https://openalex.org/C112698675","wikidata":"https://www.wikidata.org/wiki/Q37038","display_name":"Advertising","level":1,"score":0.08917656540870667},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.06605520844459534},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1002/(sici)1099-1174(199703)6:1<11::aid-isaf115>3.0.co;2-3","doi":"https://doi.org/10.1002/(sici)1099-1174(199703)6:1<11::aid-isaf115>3.0.co;2-3","is_oa":false,"landing_page_url":"https://doi.org/10.1002/(sici)1099-1174(199703)6:1<11::aid-isaf115>3.0.co;2-3","pdf_url":null,"source":{"id":"https://openalex.org/S4394735491","display_name":"Intelligent systems in accounting, finance and management/Intelligent systems in accounting, finance & management","issn_l":"1055-615X","issn":["1055-615X","1099-1174","1550-1949","2160-0074"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["abdc-b","anvur-class-a","anvur-scientific","jufo-1","norway-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Systems in Accounting, Finance &amp; Management","raw_type":"journal-article"},{"id":"doi:10.1002/(sici)1099-1174(199703)6:1<11::aid-isaf115>3.3.co;2-v","doi":"https://doi.org/10.1002/(sici)1099-1174(199703)6:1<11::aid-isaf115>3.3.co;2-v","is_oa":false,"landing_page_url":"https://doi.org/10.1002/(sici)1099-1174(199703)6:1<11::aid-isaf115>3.3.co;2-v","pdf_url":null,"source":{"id":"https://openalex.org/S4394735491","display_name":"Intelligent systems in accounting, finance and management/Intelligent systems in accounting, finance & management","issn_l":"1055-615X","issn":["1055-615X","1099-1174","1550-1949","2160-0074"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["abdc-b","anvur-class-a","anvur-scientific","jufo-1","norway-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Systems in Accounting, Finance &amp; Management","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2509817928","https://openalex.org/W2112436458","https://openalex.org/W4244727303","https://openalex.org/W2919148338","https://openalex.org/W2169030579","https://openalex.org/W2805301523","https://openalex.org/W7058321279","https://openalex.org/W4401047785","https://openalex.org/W2105726953","https://openalex.org/W2097847779"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"investigate":[4],"ways":[5],"to":[6,13,50,57,90,100,121],"use":[7,67,113],"prior":[8,45,69,91,101],"knowledge":[9,46,70],"and":[10,34,75,80,103,116],"neural":[11,110,117],"networks":[12,118],"improve":[14],"multivariate":[15],"prediction":[16,126],"ability.":[17],"Daily":[18],"stock":[19,72],"prices":[20],"are":[21,37,48],"predicted":[22],"as":[23,32],"a":[24],"complicated":[25],"real-world":[26],"problem,":[27],"taking":[28],"non-numerical":[29],"factors":[30],"such":[31],"political":[33],"international":[35],"events":[36],"into":[38,52,109],"account.":[39],"We":[40,65,93],"have":[41],"studied":[42],"types":[43],"of":[44,62,68,71,114,128,135,143],"which":[47],"difficult":[49],"insert":[51],"initial":[53],"network":[54],"structures":[55],"or":[56],"represent":[58],"in":[59],"the":[60,125,140],"form":[61],"error":[63,127],"measurements.":[64],"make":[66],"price":[73],"predictions":[74],"newspaper":[76,87],"information":[77],"on":[78,139],"domestic":[79],"foreign":[81],"events.":[82],"Event-knowledge":[83],"is":[84,119,131],"extracted":[85],"from":[86],"headlines":[88],"according":[89,99],"knowledge.":[92],"choose":[94],"several":[95],"economic":[96],"indicators,":[97],"also":[98],"knowledge,":[102],"input":[104],"them":[105],"together":[106],"with":[107],"event-knowledge":[108,115],"networks.":[111],"The":[112],"shown":[120],"be":[122],"effective":[123],"experimentally:":[124],"our":[129],"approach":[130],"smaller":[132],"than":[133],"that":[134],"multiple":[136],"regression":[137],"analysis":[138],"5%":[141],"level":[142],"significance.":[144],"\u00a9":[145],"1997":[146],"by":[147],"John":[148],"Wiley":[149],"&":[150],"Sons,":[151],"Ltd.":[152]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":15},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":9}],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2016-06-24T00:00:00"}
