{"id":"https://openalex.org/W3087490263","doi":null,"title":"Forecasting Monthly Prices of Gold Using Arti\ufb01cial Neural Network","display_name":"Forecasting Monthly Prices of Gold Using Arti\ufb01cial Neural Network","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3087490263","mag":"3087490263"},"language":"en","primary_location":{"id":"pmh:oai:RePEc:spt:stecon:v:9:y:2020:i:3:f:9_3_2","doi":null,"is_oa":false,"landing_page_url":"http://www.scienpress.com/Upload/JSEM%2fVol%209_3_2.pdf","pdf_url":"http://www.scienpress.com/Upload/JSEM%2fVol%209_3_2.pdf","source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5051689200","display_name":"C Nwokike Chukwudike","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"C Nwokike Chukwudike","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045300245","display_name":"Ugoala","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ugoala","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029753049","display_name":"B Chukwuma","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"B Chukwuma","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034861226","display_name":"Obubu Maxwell","orcid":"https://orcid.org/0000-0003-1556-037X","observed_orcids":["https://orcid.org/0000-0003-1556-037X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Obubu Maxwell","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115789884","display_name":"O Uche Ikonne Okezie","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"O Uche-Ikonne Okezie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084549765","display_name":"C Offorha Bright","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"C O\u00ef\u00ac\u20acorha Bright","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5036151979","display_name":"I Ukomah Henry","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"I Ukomah Henry","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4778,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.83134215,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":97},"biblio":{"volume":"9","issue":"3","first_page":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.7943999767303467,"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":0.7943999767303467,"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":0.20509999990463257,"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":0.00019999999494757503,"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/gold-prices","display_name":"gold prices","score":0.9919999837875366},{"id":"https://openalex.org/keywords/price-forecasting","display_name":"price forecasting","score":0.7889999747276306},{"id":"https://openalex.org/keywords/neural-network","display_name":"artificial neural networks","score":0.8080000281333923},{"id":"https://openalex.org/keywords/troy-ounce","display_name":"troy ounce","score":0.8029999732971191},{"id":"https://openalex.org/keywords/forecast-accuracy","display_name":"forecast accuracy","score":0.4490000009536743},{"id":"https://openalex.org/keywords/residual-analysis","display_name":"residual analysis","score":0.7329999804496765}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7458451390266418},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6761815547943115},{"id":"https://openalex.org/C87374668","wikidata":"https://www.wikidata.org/wiki/Q420266","display_name":"Fluid ounce (US)","level":2,"score":0.6278712153434753},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.6059634685516357},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.5654824376106262},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4585123062133789},{"id":"https://openalex.org/C40993552","wikidata":"https://www.wikidata.org/wiki/Q514654","display_name":"Gold standard (test)","level":2,"score":0.4580070674419403},{"id":"https://openalex.org/C18747219","wikidata":"https://www.wikidata.org/wiki/Q620994","display_name":"Standard error","level":2,"score":0.42716941237449646},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35719650983810425},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3566403090953827},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.3200635015964508},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.24631306529045105},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23147186636924744},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:RePEc:spt:stecon:v:9:y:2020:i:3:f:9_3_2","doi":null,"is_oa":false,"landing_page_url":"http://www.scienpress.com/Upload/JSEM%2fVol%209_3_2.pdf","pdf_url":"http://www.scienpress.com/Upload/JSEM%2fVol%209_3_2.pdf","source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"mag:3087490263","doi":null,"is_oa":false,"landing_page_url":"https://ideas.repec.org/a/spt/stecon/v9y2020i3f9_3_2.html","pdf_url":null,"source":{"id":"https://openalex.org/S2764385992","display_name":"Journal of Statistical and Econometric Methods","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Statistical and Econometric Methods","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"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/W2809750327","https://openalex.org/W2493230868","https://openalex.org/W4383682292","https://openalex.org/W2026326471","https://openalex.org/W2576572654","https://openalex.org/W2996692126","https://openalex.org/W7166642284","https://openalex.org/W3178716397","https://openalex.org/W2043245749","https://openalex.org/W2946432198"],"abstract_inverted_index":{"This":[0],"study":[1],"successfully":[2],"\u00ef\u00ac":[3],"tted":[4],"an":[5],"arti\u00ef\u00ac":[6],"cial":[7,42],"neural":[8],"network":[9],"to":[10,34],"a":[11,126],"series":[12],"on":[13],"gold":[14,21,100,129],"prices.":[15],"The":[16,82,123],"data":[17],"used":[18],"was":[19,63,88],"monthly":[20],"prices":[22,101,130],"in":[23,54,128,131],"US":[24],"dollars":[25],"and":[26,51,58,77,102],"cents":[27],"per":[28],"troy":[29],"ounce":[30],"from":[31],"October":[32],"2004":[33],"February":[35],"2020.":[36],"Of":[37],"the":[38,46,55,65,70,85,96,103,107,120,132],"17":[39],"suggested":[40],"Arti\u00ef\u00ac":[41],"Neural":[43],"Network":[44],"structures,":[45],"one":[47],"with":[48],"2,":[49],"6":[50],"1":[52],"neurons":[53],"input,":[56],"hidden":[57],"output":[59],"layers":[60],"(ANN":[61],"(2-6-1))":[62],"adjudged":[64],"best":[66],"because":[67],"it":[68],"had":[69],"least":[71],"error,":[72],"Mean":[73,78],"Square":[74],"Error":[75,80],"(MSE)":[76],"Absolute":[79],"(MAE).":[81],"adequacy":[83],"of":[84,95,99],"selected":[86],"model":[87,108],"further":[89],"con\u00ef\u00ac":[90],"rmed":[91],"by":[92,106],"graphical":[93,112],"examination":[94],"actual":[97],"values":[98],"ones":[104],"predicted":[105],"as":[109,111],"well":[110],"residual":[113],"analysis.":[114],"Consequently,":[115],"forecasts":[116,124],"were":[117],"made":[118],"using":[119],"chosen":[121],"network.":[122],"suggest":[125],"decline":[127],"coming":[133],"months.\u00c2":[134],"\u00c2":[135],"Keywords:":[136],"Gold,":[137],"Forecasting,":[138],"ANN.":[139]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1}],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2020-09-25T00:00:00"}