{"id":"https://openalex.org/W2565952817","doi":"https://doi.org/10.1007/s00521-016-2766-x","title":"A comparison of time series and machine learning models for inflation forecasting: empirical evidence from the USA","display_name":"A comparison of time series and machine learning models for inflation forecasting: empirical evidence from the USA","publication_year":2016,"publication_date":"2016-12-17","ids":{"openalex":"https://openalex.org/W2565952817","doi":"https://doi.org/10.1007/s00521-016-2766-x","mag":"2565952817"},"language":"en","primary_location":{"id":"doi:10.1007/s00521-016-2766-x","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00521-016-2766-x","pdf_url":null,"source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"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":"Neural Computing and Applications","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/A5061639194","display_name":"Volkan \u00dclke","orcid":"https://orcid.org/0000-0002-8431-0203"},"institutions":[{"id":"https://openalex.org/I4210160108","display_name":"S\u00fcleyman \u015eah University","ror":"https://ror.org/05hez5t42","country_code":"TR","type":"education","lineage":["https://openalex.org/I4210160108"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Volkan \u00dclke","raw_affiliation_strings":["Department of Economics, Suleyman Sah University, 34956, Istanbul, Turkey"],"affiliations":[{"raw_affiliation_string":"Department of Economics, Suleyman Sah University, 34956, Istanbul, Turkey","institution_ids":["https://openalex.org/I4210160108"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006185023","display_name":"Af\u015fin \u015eahin","orcid":"https://orcid.org/0000-0001-7389-5923"},"institutions":[{"id":"https://openalex.org/I95634034","display_name":"Gazi University","ror":"https://ror.org/054xkpr46","country_code":"TR","type":"education","lineage":["https://openalex.org/I95634034"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Afsin Sahin","raw_affiliation_strings":["Department of Banking, Gazi University, 06500, Ankara, Turkey"],"affiliations":[{"raw_affiliation_string":"Department of Banking, Gazi University, 06500, Ankara, Turkey","institution_ids":["https://openalex.org/I95634034"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076009908","display_name":"Abd\u00fclhamit Suba\u015f\u0131","orcid":"https://orcid.org/0000-0001-7630-4084"},"institutions":[{"id":"https://openalex.org/I125656591","display_name":"Effat University","ror":"https://ror.org/02cnwgt19","country_code":"SA","type":"education","lineage":["https://openalex.org/I125656591"]}],"countries":["SA"],"is_corresponding":true,"raw_author_name":"Abdulhamit Subasi","raw_affiliation_strings":["Department of Computer Science, College of Engineering, Effat University, Jeddah, 21478, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, College of Engineering, Effat University, Jeddah, 21478, Saudi Arabia","institution_ids":["https://openalex.org/I125656591"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5076009908"],"corresponding_institution_ids":["https://openalex.org/I125656591"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":0.9353,"has_fulltext":false,"cited_by_count":54,"citation_normalized_percentile":{"value":0.79276473,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"30","issue":"5","first_page":"1519","last_page":"1527"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9987999796867371,"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"}},"topics":[{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9987999796867371,"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/T11059","display_name":"Market Dynamics and Volatility","score":0.9984999895095825,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.9973999857902527,"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/univariate","display_name":"Univariate","score":0.8505547046661377},{"id":"https://openalex.org/keywords/inflation","display_name":"Inflation (cosmology)","score":0.7632291316986084},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6948076486587524},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.6364444494247437},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.6351888179779053},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5959718823432922},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.5494000315666199},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5393533706665039},{"id":"https://openalex.org/keywords/personal-consumption-expenditures-price-index","display_name":"Personal consumption expenditures price index","score":0.5223473310470581},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45519647002220154},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.4449286460876465},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.4426828622817993},{"id":"https://openalex.org/keywords/core-inflation","display_name":"Core inflation","score":0.433709979057312},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3412792980670929},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.29131942987442017},{"id":"https://openalex.org/keywords/inflation-targeting","display_name":"Inflation targeting","score":0.1635027825832367},{"id":"https://openalex.org/keywords/monetary-policy","display_name":"Monetary policy","score":0.13899755477905273},{"id":"https://openalex.org/keywords/macroeconomics","display_name":"Macroeconomics","score":0.12626421451568604}],"concepts":[{"id":"https://openalex.org/C199163554","wikidata":"https://www.wikidata.org/wiki/Q1681619","display_name":"Univariate","level":3,"score":0.8505547046661377},{"id":"https://openalex.org/C200941418","wikidata":"https://www.wikidata.org/wiki/Q273508","display_name":"Inflation (cosmology)","level":2,"score":0.7632291316986084},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6948076486587524},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.6364444494247437},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.6351888179779053},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5959718823432922},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.5494000315666199},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5393533706665039},{"id":"https://openalex.org/C100735349","wikidata":"https://www.wikidata.org/wiki/Q7170569","display_name":"Personal consumption expenditures price index","level":3,"score":0.5223473310470581},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45519647002220154},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.4449286460876465},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.4426828622817993},{"id":"https://openalex.org/C2777763362","wikidata":"https://www.wikidata.org/wiki/Q1739354","display_name":"Core inflation","level":4,"score":0.433709979057312},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3412792980670929},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.29131942987442017},{"id":"https://openalex.org/C185824701","wikidata":"https://www.wikidata.org/wiki/Q1193759","display_name":"Inflation targeting","level":3,"score":0.1635027825832367},{"id":"https://openalex.org/C126285488","wikidata":"https://www.wikidata.org/wiki/Q178476","display_name":"Monetary policy","level":2,"score":0.13899755477905273},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.12626421451568604},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C96405632","wikidata":"https://www.wikidata.org/wiki/Q1128416","display_name":"Consumer confidence index","level":2,"score":0.0},{"id":"https://openalex.org/C33332235","wikidata":"https://www.wikidata.org/wiki/Q18362","display_name":"Theoretical physics","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00521-016-2766-x","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00521-016-2766-x","pdf_url":null,"source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"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":"Neural Computing and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.6000000238418579,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W62145073","https://openalex.org/W157797090","https://openalex.org/W307184769","https://openalex.org/W600474740","https://openalex.org/W657136720","https://openalex.org/W789578048","https://openalex.org/W1482231577","https://openalex.org/W1504141014","https://openalex.org/W1534798215","https://openalex.org/W1543037062","https://openalex.org/W1554944419","https://openalex.org/W1586770285","https://openalex.org/W1594980803","https://openalex.org/W1607624281","https://openalex.org/W1823012458","https://openalex.org/W1964357740","https://openalex.org/W1965402578","https://openalex.org/W1965520378","https://openalex.org/W1966910378","https://openalex.org/W1968143156","https://openalex.org/W1976578922","https://openalex.org/W1994957293","https://openalex.org/W1995319408","https://openalex.org/W2001751530","https://openalex.org/W2003466743","https://openalex.org/W2008924797","https://openalex.org/W2011394589","https://openalex.org/W2012079387","https://openalex.org/W2019459021","https://openalex.org/W2024197312","https://openalex.org/W2025619592","https://openalex.org/W2036812261","https://openalex.org/W2044391169","https://openalex.org/W2053506602","https://openalex.org/W2056489048","https://openalex.org/W2076520076","https://openalex.org/W2092436092","https://openalex.org/W2094564324","https://openalex.org/W2105671954","https://openalex.org/W2108122190","https://openalex.org/W2116085078","https://openalex.org/W2145344497","https://openalex.org/W2229921173","https://openalex.org/W2480006015","https://openalex.org/W2504196632","https://openalex.org/W2625020088","https://openalex.org/W2787894218","https://openalex.org/W2798102897","https://openalex.org/W2890691765","https://openalex.org/W2991686893","https://openalex.org/W3009645016","https://openalex.org/W3121595883","https://openalex.org/W3123730030","https://openalex.org/W4230841866","https://openalex.org/W4285719527","https://openalex.org/W4292713895"],"related_works":["https://openalex.org/W3134489511","https://openalex.org/W1553027878","https://openalex.org/W1558715613","https://openalex.org/W3121296648","https://openalex.org/W3124986051","https://openalex.org/W2311318211","https://openalex.org/W2925269342","https://openalex.org/W1665615932","https://openalex.org/W3123979633","https://openalex.org/W3124289240"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":4},{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-01T17:29:45.350535","created_date":"2025-10-10T00:00:00"}