{"id":"https://openalex.org/W4384648529","doi":"https://doi.org/10.48550/arxiv.2307.08612","title":"Trend patterns statistics for assessing irreversibility in cryptocurrencies: time-asymmetry versus inefficiency","display_name":"Trend patterns statistics for assessing irreversibility in cryptocurrencies: time-asymmetry versus inefficiency","publication_year":2023,"publication_date":"2023-06-28","ids":{"openalex":"https://openalex.org/W4384648529","doi":"https://doi.org/10.48550/arxiv.2307.08612"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2307.08612","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2307.08612","pdf_url":"https://arxiv.org/pdf/2307.08612","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2307.08612","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5094126670","display_name":"Jessica Morales Herrera","orcid":"https://orcid.org/0009-0009-3740-7529"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Herrera, Jessica Morales","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5062553820","display_name":"R. Salgado-Garc\u0131\u0301a","orcid":"https://orcid.org/0000-0003-3150-065X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Salgado-Garc\u00eda, Ra\u00fal","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5094126670"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"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":0.9991000294685364,"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":0.9991000294685364,"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/T12659","display_name":"Innovation Diffusion and Forecasting","score":0.9724000096321106,"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/T11059","display_name":"Market Dynamics and Volatility","score":0.9549000263214111,"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/cryptocurrency","display_name":"Cryptocurrency","score":0.8590700626373291},{"id":"https://openalex.org/keywords/inefficiency","display_name":"Inefficiency","score":0.8157567977905273},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.7343195676803589},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.6263453960418701},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.591249942779541},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.5769803524017334},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.5063661336898804},{"id":"https://openalex.org/keywords/cash","display_name":"Cash","score":0.4771249294281006},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.4620482325553894},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4431118369102478},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3367697298526764},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2839969992637634},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.12576556205749512},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.09312564134597778},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.07997015118598938}],"concepts":[{"id":"https://openalex.org/C180706569","wikidata":"https://www.wikidata.org/wiki/Q13479982","display_name":"Cryptocurrency","level":2,"score":0.8590700626373291},{"id":"https://openalex.org/C2778869765","wikidata":"https://www.wikidata.org/wiki/Q6028363","display_name":"Inefficiency","level":2,"score":0.8157567977905273},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.7343195676803589},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.6263453960418701},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.591249942779541},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.5769803524017334},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.5063661336898804},{"id":"https://openalex.org/C2778083465","wikidata":"https://www.wikidata.org/wiki/Q693464","display_name":"Cash","level":2,"score":0.4771249294281006},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.4620482325553894},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4431118369102478},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3367697298526764},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2839969992637634},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.12576556205749512},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.09312564134597778},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.07997015118598938},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:arXiv.org:2307.08612","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2307.08612","pdf_url":"https://arxiv.org/pdf/2307.08612","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"","raw_type":"text"},{"id":"pmh:oai:RePEc:arx:papers:2307.08612","is_oa":false,"landing_page_url":null,"pdf_url":null,"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,"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":"preprint"},{"id":"doi:10.48550/arxiv.2307.08612","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2307.08612","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2307.08612","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2307.08612","pdf_url":"https://arxiv.org/pdf/2307.08612","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"","raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.5199999809265137}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4384648529.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4366411693","https://openalex.org/W3211641817","https://openalex.org/W3164717803","https://openalex.org/W4389915954","https://openalex.org/W3123387860","https://openalex.org/W4291291739","https://openalex.org/W2915579847","https://openalex.org/W4321377877","https://openalex.org/W2418108191","https://openalex.org/W2067142008"],"abstract_inverted_index":{"In":[0],"this":[1,45],"paper,":[2],"we":[3,110],"present":[4],"a":[5,40,74,100],"measure":[6],"of":[7,26,51,77],"time":[8,41],"irreversibility":[9,17,52,78],"using":[10],"trend":[11],"pattern":[12],"statistics.":[13],"We":[14,43,89],"define":[15],"the":[16,20,24,32,49,84,92,112,123],"index":[18,46],"as":[19],"Kullback-Leibler":[21],"divergence":[22],"between":[23,114,126],"distribution":[25,36],"uptrends":[27],"subsequences":[28,35],"(increasing":[29],"trends)":[30,38],"and":[31,68,83,108,128],"corresponding":[33],"downtrends":[34],"(decreasing":[37],"in":[39,53,79],"series.":[42],"use":[44],"to":[47],"analyze":[48],"degree":[50],"log":[54],"return":[55],"series":[56],"over":[57,87],"time,":[58],"specifically":[59],"focusing":[60],"on":[61,99],"five":[62],"cryptocurrencies:":[63],"Bitcoin,":[64],"Ethereum,":[65],"Ripple,":[66],"Litecoin,":[67],"Bitcoin":[69],"Cash.":[70],"Our":[71],"analysis":[72],"reveals":[73],"strong":[75],"indication":[76],"all":[80],"these":[81,96,115],"cryptocurrencies":[82,97],"characteristic":[85],"evolves":[86],"time.":[88],"additionally":[90],"evaluate":[91],"market":[93],"efficiency":[94],"for":[95],"based":[98],"recently":[101],"proposed":[102],"information-theoretic":[103],"measure.":[104],"By":[105],"comparing":[106],"inefficiency":[107,127],"irreversibility,":[109],"explore":[111],"relationship":[113,125],"statistical":[116],"features.":[117],"This":[118],"comparison":[119],"provides":[120],"insight":[121],"into":[122],"non-trivial":[124],"irreversibility.":[129]},"counts_by_year":[],"updated_date":"2026-04-30T09:15:22.047038","created_date":"2025-10-10T00:00:00"}
