{"id":"https://openalex.org/W4386561926","doi":"https://doi.org/10.1007/s41109-023-00589-w","title":"Spotting the stock and crypto markets\u2019 rings of fire: measuring change proximities among spillover dependencies within inter and intra-market asset classes","display_name":"Spotting the stock and crypto markets\u2019 rings of fire: measuring change proximities among spillover dependencies within inter and intra-market asset classes","publication_year":2023,"publication_date":"2023-09-08","ids":{"openalex":"https://openalex.org/W4386561926","doi":"https://doi.org/10.1007/s41109-023-00589-w"},"language":"en","primary_location":{"id":"doi:10.1007/s41109-023-00589-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41109-023-00589-w","pdf_url":"https://appliednetsci.springeropen.com/counter/pdf/10.1007/s41109-023-00589-w","source":{"id":"https://openalex.org/S3035517252","display_name":"Applied Network Science","issn_l":"2364-8228","issn":["2364-8228"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Network Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://appliednetsci.springeropen.com/counter/pdf/10.1007/s41109-023-00589-w","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046770326","display_name":"Hendra Setiawan","orcid":"https://orcid.org/0000-0001-7417-6699"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hendra Setiawan","raw_affiliation_strings":["Financial Services Authority of Indonesia Republic, Jakarta, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Financial Services Authority of Indonesia Republic, Jakarta, Indonesia","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010711607","display_name":"Moinak Bhaduri","orcid":"https://orcid.org/0000-0001-7403-7242"},"institutions":[{"id":"https://openalex.org/I139924743","display_name":"Bentley University","ror":"https://ror.org/01px48m89","country_code":"US","type":"education","lineage":["https://openalex.org/I139924743"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Moinak Bhaduri","raw_affiliation_strings":["Department of Mathematical Sciences, Bentley University, Waltham, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematical Sciences, Bentley University, Waltham, MA, USA","institution_ids":["https://openalex.org/I139924743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5010711607"],"corresponding_institution_ids":["https://openalex.org/I139924743"],"apc_list":{"value":790,"currency":"GBP","value_usd":969},"apc_paid":{"value":790,"currency":"GBP","value_usd":969},"fwci":3.3115,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.93866964,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"8","issue":"1","first_page":null,"last_page":null},"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":0.9991999864578247,"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":0.9991999864578247,"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/T11059","display_name":"Market Dynamics and Volatility","score":0.9976000189781189,"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/T10282","display_name":"Financial Risk and Volatility Modeling","score":0.9779999852180481,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/social-connectedness","display_name":"Social connectedness","score":0.613667368888855},{"id":"https://openalex.org/keywords/cryptocurrency","display_name":"Cryptocurrency","score":0.5892963409423828},{"id":"https://openalex.org/keywords/spillover-effect","display_name":"Spillover effect","score":0.5547288656234741},{"id":"https://openalex.org/keywords/financial-economics","display_name":"Financial economics","score":0.525546669960022},{"id":"https://openalex.org/keywords/stock-market","display_name":"Stock market","score":0.4928414821624756},{"id":"https://openalex.org/keywords/speculation","display_name":"Speculation","score":0.47196874022483826},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.4623514413833618},{"id":"https://openalex.org/keywords/portfolio","display_name":"Portfolio","score":0.4493119418621063},{"id":"https://openalex.org/keywords/volatility","display_name":"Volatility (finance)","score":0.43303316831588745},{"id":"https://openalex.org/keywords/asset-allocation","display_name":"Asset allocation","score":0.41616392135620117},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.40131425857543945},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.19797587394714355},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.15435025095939636},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.11502963304519653}],"concepts":[{"id":"https://openalex.org/C201943243","wikidata":"https://www.wikidata.org/wiki/Q7551008","display_name":"Social connectedness","level":2,"score":0.613667368888855},{"id":"https://openalex.org/C180706569","wikidata":"https://www.wikidata.org/wiki/Q13479982","display_name":"Cryptocurrency","level":2,"score":0.5892963409423828},{"id":"https://openalex.org/C55527203","wikidata":"https://www.wikidata.org/wiki/Q334194","display_name":"Spillover effect","level":2,"score":0.5547288656234741},{"id":"https://openalex.org/C106159729","wikidata":"https://www.wikidata.org/wiki/Q2294553","display_name":"Financial economics","level":1,"score":0.525546669960022},{"id":"https://openalex.org/C2780299701","wikidata":"https://www.wikidata.org/wiki/Q475000","display_name":"Stock market","level":3,"score":0.4928414821624756},{"id":"https://openalex.org/C47941915","wikidata":"https://www.wikidata.org/wiki/Q107885","display_name":"Speculation","level":2,"score":0.47196874022483826},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.4623514413833618},{"id":"https://openalex.org/C2780821815","wikidata":"https://www.wikidata.org/wiki/Q5340806","display_name":"Portfolio","level":2,"score":0.4493119418621063},{"id":"https://openalex.org/C91602232","wikidata":"https://www.wikidata.org/wiki/Q756115","display_name":"Volatility (finance)","level":2,"score":0.43303316831588745},{"id":"https://openalex.org/C139819358","wikidata":"https://www.wikidata.org/wiki/Q462748","display_name":"Asset allocation","level":3,"score":0.41616392135620117},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.40131425857543945},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.19797587394714355},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.15435025095939636},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.11502963304519653},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s41109-023-00589-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41109-023-00589-w","pdf_url":"https://appliednetsci.springeropen.com/counter/pdf/10.1007/s41109-023-00589-w","source":{"id":"https://openalex.org/S3035517252","display_name":"Applied Network Science","issn_l":"2364-8228","issn":["2364-8228"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Network Science","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:88ad7f16fb8e4789b85ad58393f4b8db","is_oa":true,"landing_page_url":"https://doaj.org/article/88ad7f16fb8e4789b85ad58393f4b8db","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":"Applied Network Science, Vol 8, Iss 1, Pp 1-38 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s41109-023-00589-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41109-023-00589-w","pdf_url":"https://appliednetsci.springeropen.com/counter/pdf/10.1007/s41109-023-00589-w","source":{"id":"https://openalex.org/S3035517252","display_name":"Applied Network Science","issn_l":"2364-8228","issn":["2364-8228"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Network Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320308427","display_name":"American Mathematical Society","ror":"https://ror.org/05vy1kj95"},{"id":"https://openalex.org/F4320319288","display_name":"Bentley University","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4386561926.pdf"},"referenced_works_count":58,"referenced_works":["https://openalex.org/W160658927","https://openalex.org/W639907764","https://openalex.org/W1908764166","https://openalex.org/W1987971958","https://openalex.org/W2000005098","https://openalex.org/W2007196617","https://openalex.org/W2019417974","https://openalex.org/W2031982740","https://openalex.org/W2033286383","https://openalex.org/W2039734130","https://openalex.org/W2071949631","https://openalex.org/W2089561958","https://openalex.org/W2091975704","https://openalex.org/W2110065044","https://openalex.org/W2123690669","https://openalex.org/W2132914434","https://openalex.org/W2142841946","https://openalex.org/W2346608502","https://openalex.org/W2537069998","https://openalex.org/W2731571724","https://openalex.org/W2743219614","https://openalex.org/W2771030840","https://openalex.org/W2773997834","https://openalex.org/W2803606270","https://openalex.org/W2808830795","https://openalex.org/W2899178325","https://openalex.org/W2921869937","https://openalex.org/W2962690444","https://openalex.org/W2976791803","https://openalex.org/W3034295318","https://openalex.org/W3041423659","https://openalex.org/W3041656044","https://openalex.org/W3088487141","https://openalex.org/W3096773305","https://openalex.org/W3100280058","https://openalex.org/W3102316600","https://openalex.org/W3105998315","https://openalex.org/W3120838011","https://openalex.org/W3122139852","https://openalex.org/W3122186884","https://openalex.org/W3123639475","https://openalex.org/W3159573327","https://openalex.org/W3178582090","https://openalex.org/W3179942573","https://openalex.org/W3196544268","https://openalex.org/W4205288333","https://openalex.org/W4210316774","https://openalex.org/W4210658273","https://openalex.org/W4211210642","https://openalex.org/W4213187655","https://openalex.org/W4220879759","https://openalex.org/W4234714628","https://openalex.org/W4238452917","https://openalex.org/W4281655231","https://openalex.org/W4300962872","https://openalex.org/W4309667334","https://openalex.org/W4318825142","https://openalex.org/W4366957362"],"related_works":["https://openalex.org/W4366411693","https://openalex.org/W4243792164","https://openalex.org/W3211641817","https://openalex.org/W2147782221","https://openalex.org/W3164717803","https://openalex.org/W4389915954","https://openalex.org/W2076161440","https://openalex.org/W3123387860","https://openalex.org/W4291017132","https://openalex.org/W4387442864"],"abstract_inverted_index":{"Abstract":[0],"Crypto":[1],"assets":[2,71,167,231],"have":[3,125],"lately":[4],"become":[5,84],"the":[6,12,19,22,37,40,44,64,67,79,89,131,152,160,163,169,180,204,226,247,259,269],"chief":[7],"interest":[8],"of":[9,21,36,66,88,95,102,162,175,206,261,272],"investors":[10],"around":[11,202],"world.":[13],"The":[14],"excitement":[15],"around,":[16],"along":[17],"with":[18,74,236],"promise":[20],"nascent":[23],"technology":[24],"led":[25],"to":[26,54,108,146,168,222,234],"enormous":[27],"speculation":[28],"by":[29,158],"impulsive":[30],"investors.":[31],"Despite":[32],"a":[33,188],"shaky":[34],"understanding":[35],"backbone":[38],"technology,":[39],"price":[41],"mechanism,":[42],"and":[43,115,177],"business":[45],"model,":[46],"investors\u2019":[47],"risk":[48],"appetites":[49],"pushed":[50],"crypto":[51,70,113,166],"market":[52],"values":[53],"record":[55],"highs.":[56],"In":[57,185],"addition,":[58,186],"pricings":[59],"are":[60,232],"largely":[61],"based":[62],"on":[63,127,214],"perception":[65],"market,":[68,133,171],"making":[69],"naturally":[72],"embedded":[73],"extreme":[75],"volatility.":[76],"Perhaps":[77],"unsurprisingly,":[78],"new":[80],"asset":[81,117,138],"class":[82],"has":[83,142],"an":[85,243],"integral":[86],"part":[87],"investor\u2019s":[90],"portfolio,":[91],"which":[92,203,229,239,251],"traditionally":[93],"consists":[94],"stock,":[96],"commodities,":[97,134],"forex,":[98],"or":[99,135],"any":[100],"type":[101],"derivative.":[103],"Therefore,":[104],"it":[105],"is":[106,193],"critical":[107],"unearth":[109],"possible":[110],"connections":[111],"between":[112,228,238],"currencies":[114],"traditional":[116,137],"classes,":[118],"scrutinizing":[119],"correlational":[120],"upheavals.":[121],"Numerous":[122],"research":[123],"studies":[124],"focused":[126],"connectedness":[128,161,208],"issues":[129,148],"among":[130],"stock":[132,170],"other":[136,240],"classes.":[139],"Scant":[140],"attention":[141],"been":[143],"paid,":[144],"however,":[145],"similar":[147],"when":[149],"cryptos":[150],"join":[151],"mix.":[153],"We":[154],"fill":[155],"this":[156],"void":[157],"studying":[159],"two":[164,230],"biggest":[165],"both":[172],"in":[173,196,225],"terms":[174],"returns":[176],"volatility,":[178],"through":[179,187,268],"Diebold":[181],"Francis":[182],"spillover":[183,220,274],"model.":[184],"novel":[189],"bidirectional":[190],"algorithm":[191],"that":[192],"gaining":[194],"currency":[195],"statistical":[197],"inference,":[198],"we":[199,218,249],"locate":[200],"times":[201],"nature":[205],"such":[207,215,264],"alters.":[209],"Subsequently,":[210],"using":[211],"Hausdorff-type":[212],"metrics":[213],"estimated":[216],"changes,":[217],"cluster":[219],"patterns":[221],"describe":[223],"changes":[224,263],"dependencies":[227,253],"evidenced":[233],"correlate":[235],"those":[237],"two.":[241],"Creating":[242],"induced":[244],"network":[245],"from":[246],"cluster,":[248],"highlight":[250],"specific":[252],"function":[254],"as":[255,265],"crucial":[256],"hubs,":[257],"how":[258],"impacts":[260],"drastic":[262],"COVID-19":[266],"ripple":[267],"networks\u2014the":[270],"Rings":[271],"Fire\u2014of":[273],"dependencies.":[275]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
