{"id":"https://openalex.org/W2129368192","doi":"https://doi.org/10.3390/e17107167","title":"Wavelet Entropy Based Analysis and Forecasting of Crude Oil Price Dynamics","display_name":"Wavelet Entropy Based Analysis and Forecasting of Crude Oil Price Dynamics","publication_year":2015,"publication_date":"2015-10-22","ids":{"openalex":"https://openalex.org/W2129368192","doi":"https://doi.org/10.3390/e17107167","mag":"2129368192"},"language":"en","primary_location":{"id":"doi:10.3390/e17107167","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e17107167","pdf_url":"https://www.mdpi.com/1099-4300/17/10/7167/pdf?version=1445498418","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/17/10/7167/pdf?version=1445498418","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023656133","display_name":"Yingchao Zou","orcid":"https://orcid.org/0000-0003-3965-4776"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingchao Zou","raw_affiliation_strings":["College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China","School of Economics and Management, Beijing University of Chemical Technology, Beijing 100029, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China","institution_ids":["https://openalex.org/I75390827"]},{"raw_affiliation_string":"School of Economics and Management, Beijing University of Chemical Technology, Beijing 100029, China","institution_ids":["https://openalex.org/I75390827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058109866","display_name":"Lean Yu","orcid":"https://orcid.org/0000-0002-8035-4938"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lean Yu","raw_affiliation_strings":["School of Economics and Management, Beijing University of Chemical Technology, Beijing 100029, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Economics and Management, Beijing University of Chemical Technology, Beijing 100029, China","institution_ids":["https://openalex.org/I75390827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028351142","display_name":"Kaijian He","orcid":"https://orcid.org/0000-0001-8097-4435"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kaijian He","raw_affiliation_strings":["School of Economics and Management, Beijing University of Chemical Technology, Beijing 100029, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Economics and Management, Beijing University of Chemical Technology, Beijing 100029, China","institution_ids":["https://openalex.org/I75390827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5028351142"],"corresponding_institution_ids":["https://openalex.org/I75390827"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":6.4902,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.96373459,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"17","issue":"10","first_page":"7167","last_page":"7184"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11059","display_name":"Market Dynamics and Volatility","score":0.9940999746322632,"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/T11059","display_name":"Market Dynamics and Volatility","score":0.9940999746322632,"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/T12368","display_name":"Grey System Theory Applications","score":0.9165999889373779,"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/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9133999943733215,"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/wavelet","display_name":"Wavelet","score":0.7911461591720581},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5619436502456665},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.512157678604126},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.49733713269233704},{"id":"https://openalex.org/keywords/crude-oil","display_name":"Crude oil","score":0.4718841314315796},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.45290642976760864},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.40388599038124084},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3878864049911499},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.37748464941978455},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3678323030471802},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3317655622959137},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3162502646446228},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2117994725704193},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09011614322662354}],"concepts":[{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.7911461591720581},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5619436502456665},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.512157678604126},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.49733713269233704},{"id":"https://openalex.org/C2987168347","wikidata":"https://www.wikidata.org/wiki/Q22656","display_name":"Crude oil","level":2,"score":0.4718841314315796},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.45290642976760864},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.40388599038124084},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3878864049911499},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.37748464941978455},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3678323030471802},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3317655622959137},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3162502646446228},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2117994725704193},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09011614322662354},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C78762247","wikidata":"https://www.wikidata.org/wiki/Q1273174","display_name":"Petroleum engineering","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/e17107167","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e17107167","pdf_url":"https://www.mdpi.com/1099-4300/17/10/7167/pdf?version=1445498418","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:988a0ab8cf53411daf007829dbb10272","is_oa":true,"landing_page_url":"https://doaj.org/article/988a0ab8cf53411daf007829dbb10272","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy, Vol 17, Iss 10, Pp 7167-7184 (2015)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1099-4300/17/10/7167/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/e17107167","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/e17107167","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e17107167","pdf_url":"https://www.mdpi.com/1099-4300/17/10/7167/pdf?version=1445498418","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4735719662","display_name":"\u57fa\u4e8e\u591a\u5c3a\u5ea6\u5206\u6790\u7684\u56fd\u9645\u6c47\u7387\u4ef7\u683c\u9884\u6d4b\u7814\u7a76","funder_award_id":"71201054","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7090899670","display_name":null,"funder_award_id":"91224001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G798293579","display_name":"\u793e\u4f1a\u4fe1\u7528\u5236\u5ea6\u5efa\u8bbe\u7684\u7ba1\u7406\u7406\u8bba\u4e0e\u5b9e\u73b0\u673a\u5236\u7814\u7a76","funder_award_id":"71433001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1119508844","https://openalex.org/W1599341303","https://openalex.org/W1673276284","https://openalex.org/W1860928946","https://openalex.org/W1968999171","https://openalex.org/W1972732865","https://openalex.org/W1986476236","https://openalex.org/W1986478348","https://openalex.org/W1986528915","https://openalex.org/W1992859706","https://openalex.org/W1995789178","https://openalex.org/W1995875735","https://openalex.org/W1997990831","https://openalex.org/W1999367385","https://openalex.org/W2000069518","https://openalex.org/W2012035310","https://openalex.org/W2017082658","https://openalex.org/W2018857892","https://openalex.org/W2019037940","https://openalex.org/W2031769266","https://openalex.org/W2039585729","https://openalex.org/W2040808840","https://openalex.org/W2043510043","https://openalex.org/W2049375354","https://openalex.org/W2059712296","https://openalex.org/W2061596020","https://openalex.org/W2063130671","https://openalex.org/W2064542382","https://openalex.org/W2068002174","https://openalex.org/W2073718059","https://openalex.org/W2079746936","https://openalex.org/W2080802633","https://openalex.org/W2081228781","https://openalex.org/W2083927079","https://openalex.org/W2092130541","https://openalex.org/W2103501887","https://openalex.org/W2112059432","https://openalex.org/W2112884059","https://openalex.org/W2118533364","https://openalex.org/W2137242239","https://openalex.org/W2139116473","https://openalex.org/W2145456204","https://openalex.org/W2156447271","https://openalex.org/W2157433151","https://openalex.org/W3121177220","https://openalex.org/W3121937829","https://openalex.org/W3123960405","https://openalex.org/W3124347368","https://openalex.org/W3124690764","https://openalex.org/W4240386196","https://openalex.org/W4250639944","https://openalex.org/W6676614088"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W972276598","https://openalex.org/W2087343574","https://openalex.org/W4246352526","https://openalex.org/W2121910908"],"abstract_inverted_index":{"For":[0],"the":[1,17,38,41,48,64,70,85,95,103,109,113,124],"modeling":[2],"of":[3,31,40,118],"complex":[4],"and":[5,11,20,34,68,89],"nonlinear":[6],"crude":[7,104],"oil":[8,105],"price":[9],"dynamics":[10],"movement,":[12],"wavelet":[13,32,58,72,78,87],"analysis":[14],"can":[15],"decompose":[16],"time":[18],"series":[19],"produce":[21,94],"multiple":[22],"economically":[23],"meaningful":[24],"decomposition":[25,35,90],"structures":[26],"based":[27,60,74],"on":[28],"different":[29],"assumptions":[30],"families":[33,88],"scale.":[36],"However,":[37],"determination":[39],"optimal":[42,65,86],"model":[43,66,125],"specification":[44,67],"will":[45,93],"critically":[46],"affect":[47],"forecasting":[49,75,97,126],"accuracy.":[50,127],"In":[51],"this":[52],"paper,":[53],"we":[54],"propose":[55],"a":[56],"new":[57],"entropy":[59,73,79],"approach":[61],"to":[62,83],"identify":[63],"construct":[69],"effective":[71],"models.":[76],"The":[77],"algorithm":[80,111],"is":[81],"introduced":[82],"determine":[84],"scale,":[91],"that":[92,108],"improved":[96],"performance.":[98],"Empirical":[99],"studies":[100],"conducted":[101],"in":[102,116],"markets":[106],"show":[107],"proposed":[110],"outperforms":[112],"benchmark":[114],"model,":[115],"terms":[117],"conventional":[119],"performance":[120],"evaluation":[121],"criteria":[122],"for":[123]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2016,"cited_by_count":2}],"updated_date":"2026-06-06T09:05:17.133730","created_date":"2025-10-10T00:00:00"}