{"id":"https://openalex.org/W4225308815","doi":"https://doi.org/10.1007/s12351-022-00707-z","title":"A hybrid approach to the discrepancy in financial performance\u2019s robustness","display_name":"A hybrid approach to the discrepancy in financial performance\u2019s robustness","publication_year":2022,"publication_date":"2022-05-03","ids":{"openalex":"https://openalex.org/W4225308815","doi":"https://doi.org/10.1007/s12351-022-00707-z"},"language":"en","primary_location":{"id":"doi:10.1007/s12351-022-00707-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s12351-022-00707-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s12351-022-00707-z.pdf","source":{"id":"https://openalex.org/S140563256","display_name":"Operational Research","issn_l":"1109-2858","issn":["1109-2858","1866-1505"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Operational Research","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s12351-022-00707-z.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007762563","display_name":"Sally Giuseppe Arcidiacono","orcid":null},"institutions":[{"id":"https://openalex.org/I39063666","display_name":"University of Catania","ror":"https://ror.org/03a64bh57","country_code":"IT","type":"education","lineage":["https://openalex.org/I39063666"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Sally G. Arcidiacono","raw_affiliation_strings":["Department of Economics and Business, University of Catania, 95129, Catania, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Economics and Business, University of Catania, 95129, Catania, Italy","institution_ids":["https://openalex.org/I39063666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079887760","display_name":"Damiano Rossello","orcid":"https://orcid.org/0000-0001-9128-4149"},"institutions":[{"id":"https://openalex.org/I39063666","display_name":"University of Catania","ror":"https://ror.org/03a64bh57","country_code":"IT","type":"education","lineage":["https://openalex.org/I39063666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Damiano Rossello","raw_affiliation_strings":["Department of Economics and Business, University of Catania, 95129, Catania, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Economics and Business, University of Catania, 95129, Catania, Italy","institution_ids":["https://openalex.org/I39063666"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5007762563"],"corresponding_institution_ids":["https://openalex.org/I39063666"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":0.3273,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.59270578,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"22","issue":"5","first_page":"5441","last_page":"5476"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11413","display_name":"Risk and Portfolio Optimization","score":0.9987000226974487,"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/T11413","display_name":"Risk and Portfolio Optimization","score":0.9987000226974487,"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/T10007","display_name":"Monetary Policy and Economic Impact","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/2000","display_name":"General Economics, Econometrics and 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"}},{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.9940999746322632,"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/robustness","display_name":"Robustness (evolution)","score":0.8061374425888062},{"id":"https://openalex.org/keywords/sharpe-ratio","display_name":"Sharpe ratio","score":0.7377484440803528},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.7046200037002563},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.6185486912727356},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6083543300628662},{"id":"https://openalex.org/keywords/portfolio","display_name":"Portfolio","score":0.538555920124054},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.5098094344139099},{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.42695218324661255},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3695221543312073},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3361584544181824},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29591280221939087},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.25169116258621216},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.18696719408035278},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1846630871295929},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.17919600009918213},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.1782837212085724}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8061374425888062},{"id":"https://openalex.org/C139938925","wikidata":"https://www.wikidata.org/wiki/Q1501898","display_name":"Sharpe ratio","level":3,"score":0.7377484440803528},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7046200037002563},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.6185486912727356},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6083543300628662},{"id":"https://openalex.org/C2780821815","wikidata":"https://www.wikidata.org/wiki/Q5340806","display_name":"Portfolio","level":2,"score":0.538555920124054},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.5098094344139099},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.42695218324661255},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3695221543312073},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3361584544181824},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29591280221939087},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.25169116258621216},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.18696719408035278},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1846630871295929},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.17919600009918213},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.1782837212085724},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s12351-022-00707-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s12351-022-00707-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s12351-022-00707-z.pdf","source":{"id":"https://openalex.org/S140563256","display_name":"Operational Research","issn_l":"1109-2858","issn":["1109-2858","1866-1505"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Operational Research","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:spr:operea:v:22:y:2022:i:5:d:10.1007_s12351-022-00707-z","is_oa":false,"landing_page_url":"http://link.springer.com/10.1007/s12351-022-00707-z","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":"article"}],"best_oa_location":{"id":"doi:10.1007/s12351-022-00707-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s12351-022-00707-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s12351-022-00707-z.pdf","source":{"id":"https://openalex.org/S140563256","display_name":"Operational Research","issn_l":"1109-2858","issn":["1109-2858","1866-1505"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Operational Research","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322690","display_name":"Universit\u00e0 di Catania","ror":"https://ror.org/03a64bh57"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4225308815.pdf","grobid_xml":"https://content.openalex.org/works/W4225308815.grobid-xml"},"referenced_works_count":58,"referenced_works":["https://openalex.org/W28519790","https://openalex.org/W1557053574","https://openalex.org/W1565168930","https://openalex.org/W1881860529","https://openalex.org/W1968355947","https://openalex.org/W1972847850","https://openalex.org/W1978600872","https://openalex.org/W1995808291","https://openalex.org/W1996834009","https://openalex.org/W2003777645","https://openalex.org/W2016980223","https://openalex.org/W2021472931","https://openalex.org/W2025472325","https://openalex.org/W2033500977","https://openalex.org/W2038865108","https://openalex.org/W2053453271","https://openalex.org/W2069099760","https://openalex.org/W2069368191","https://openalex.org/W2075748568","https://openalex.org/W2078858191","https://openalex.org/W2088140565","https://openalex.org/W2089105401","https://openalex.org/W2092002989","https://openalex.org/W2094060802","https://openalex.org/W2109122936","https://openalex.org/W2109427113","https://openalex.org/W2118578357","https://openalex.org/W2118856090","https://openalex.org/W2131868098","https://openalex.org/W2132443389","https://openalex.org/W2134063182","https://openalex.org/W2140496876","https://openalex.org/W2142640031","https://openalex.org/W2143791421","https://openalex.org/W2155945500","https://openalex.org/W2164883547","https://openalex.org/W2232104438","https://openalex.org/W2341705921","https://openalex.org/W2398899353","https://openalex.org/W2486563685","https://openalex.org/W2794702297","https://openalex.org/W2886551330","https://openalex.org/W3038248337","https://openalex.org/W3121324299","https://openalex.org/W3122301309","https://openalex.org/W3123288201","https://openalex.org/W3123538377","https://openalex.org/W3124098225","https://openalex.org/W3125923067","https://openalex.org/W3136458415","https://openalex.org/W3196228797","https://openalex.org/W3198220203","https://openalex.org/W3215687324","https://openalex.org/W4205806204","https://openalex.org/W4247073408","https://openalex.org/W4251616545","https://openalex.org/W4255230573","https://openalex.org/W4300580367"],"related_works":["https://openalex.org/W73199774","https://openalex.org/W4232379160","https://openalex.org/W2135642348","https://openalex.org/W3113667672","https://openalex.org/W1977854766","https://openalex.org/W2594663467","https://openalex.org/W2626612876","https://openalex.org/W4293251871","https://openalex.org/W3126075314","https://openalex.org/W2165426065"],"abstract_inverted_index":{"Abstract":[0],"Performance":[1],"measurement":[2,36],"is":[3,38,93],"a":[4,63,94,97,109],"crucial":[5],"ingredient":[6],"in":[7,42,72,152,162],"the":[8,26,31,35,43,69,104,130,154],"industry":[9],"of":[10,17,65,80,96,100,106,108,121,133,139],"investment":[11,163],"funds.":[12],"Mainly":[13],"grounded":[14],"on":[15],"indices":[16,67,143],"risk-adjusted":[18],"returns,":[19],"it":[20],"requires":[21],"historical":[22,47],"data":[23],"to":[24,40,87,159,171],"estimate":[25],"relevant":[27],"statistics":[28],"such":[29],"as":[30],"Sharpe":[32,70],"ratio.":[33],"Therefore":[34],"process":[37],"sensitive":[39],"outliers":[41,89],"time":[44],"series":[45],"underlying":[46],"data.":[48],"Since":[49],"alternative":[50,88],"measures":[51],"are":[52],"available":[53],"for":[54,62],"performance":[55,127,157],"evaluation,":[56],"we":[57],"propose":[58],"an":[59],"iterative":[60],"methodology":[61,92],"set":[64],"eleven":[66],"(including":[68],"ratio)":[71],"order":[73],"to:":[74],"(a)":[75],"quantify":[76],"their":[77],"intrinsic":[78],"degree":[79],"statistical":[81],"robustness;":[82],"(b)":[83],"find":[84],"different":[85],"sensitivity":[86,123],"configuration.":[90],"This":[91],"combination":[95],"reasonable":[98],"definition":[99,105,132],"breakdown":[101,134],"point":[102,111,135],"and":[103],"discrepancy":[107],"finite":[110],"set.":[112],"A":[113],"suitable":[114],"Monte":[115],"Carlo":[116],"simulation":[117],"provides":[118],"numerical":[119],"evidence":[120],"changing":[122],"among":[124,141],"all":[125,142],"considered":[126],"measures,":[128],"instead":[129],"classical":[131],"only":[136],"shows":[137],"lack":[138],"robustness":[140],"without":[144],"further":[145],"specification.":[146],"Our":[147],"approach":[148],"may":[149],"be":[150,160,172],"useful":[151],"choosing":[153],"most":[155],"robust":[156,167],"measure":[158],"employed":[161],"management,":[164],"especially":[165],"when":[166],"portfolio":[168],"optimization":[169],"has":[170],"used.":[173]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
