{"id":"https://openalex.org/W2889265674","doi":"https://doi.org/10.25300/misq/2018/14268","title":"The Interaction between Microblog Sentiment and Stock Returns: An Empirical Examination1","display_name":"The Interaction between Microblog Sentiment and Stock Returns: An Empirical Examination1","publication_year":2018,"publication_date":"2018-08-28","ids":{"openalex":"https://openalex.org/W2889265674","doi":"https://doi.org/10.25300/misq/2018/14268","mag":"2889265674"},"language":"en","primary_location":{"id":"doi:10.25300/misq/2018/14268","is_oa":false,"landing_page_url":"https://doi.org/10.25300/misq/2018/14268","pdf_url":null,"source":{"id":"https://openalex.org/S57293258","display_name":"MIS Quarterly","issn_l":"0276-7783","issn":["0276-7783","2162-9730"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4327875293","host_organization_name":"MIS Quarterly","host_organization_lineage":["https://openalex.org/P4327875293"],"host_organization_lineage_names":["MIS Quarterly"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"MIS Quarterly","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/A5018053165","display_name":"Shuyuan Deng","orcid":"https://orcid.org/0000-0001-6034-7434"},"institutions":[{"id":"https://openalex.org/I8606887","display_name":"Grand Valley State University","ror":"https://ror.org/001m1hv61","country_code":"US","type":"education","lineage":["https://openalex.org/I8606887"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shuyuan Deng","raw_affiliation_strings":["Seidman College of Business, Grand Valley State University, Grand Rapids, MI 49504 U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Seidman College of Business, Grand Valley State University, Grand Rapids, MI 49504 U.S.A","institution_ids":["https://openalex.org/I8606887"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051800810","display_name":"Zhijian Huang","orcid":"https://orcid.org/0000-0001-9407-3857"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhijian (James) Huang","raw_affiliation_strings":["Saunders College of Business, Rochester Institute of Technology, Rochester, NY 14623 U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Saunders College of Business, Rochester Institute of Technology, Rochester, NY 14623 U.S.A","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110260079","display_name":"Atish P. Sinha","orcid":null},"institutions":[{"id":"https://openalex.org/I43579087","display_name":"University of Wisconsin\u2013Milwaukee","ror":"https://ror.org/031q21x57","country_code":"US","type":"education","lineage":["https://openalex.org/I43579087"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Atish P. Sinha","raw_affiliation_strings":["Sheldon B. Lubar School of Business, University of Wisconsin\u2013Milwaukee, Milwaukee, WI 53201 U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sheldon B. Lubar School of Business, University of Wisconsin\u2013Milwaukee, Milwaukee, WI 53201 U.S.A","institution_ids":["https://openalex.org/I43579087"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015735678","display_name":"Huimin Zhao","orcid":"https://orcid.org/0000-0002-6471-9837"},"institutions":[{"id":"https://openalex.org/I43579087","display_name":"University of Wisconsin\u2013Milwaukee","ror":"https://ror.org/031q21x57","country_code":"US","type":"education","lineage":["https://openalex.org/I43579087"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Huimin Zhao","raw_affiliation_strings":["Sheldon B. Lubar School of Business, University of Wisconsin\u2013Milwaukee, Milwaukee, WI 53201 U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sheldon B. Lubar School of Business, University of Wisconsin\u2013Milwaukee, Milwaukee, WI 53201 U.S.A","institution_ids":["https://openalex.org/I43579087"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.2651,"has_fulltext":false,"cited_by_count":146,"citation_normalized_percentile":{"value":0.97629147,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"42","issue":"3","first_page":"895","last_page":"918"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9828000068664551,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9828000068664551,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9544000029563904,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9501000046730042,"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/microblogging","display_name":"Microblogging","score":0.9696853160858154},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.8533985614776611},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.6456563472747803},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5642293095588684},{"id":"https://openalex.org/keywords/social-media-analytics","display_name":"Social media analytics","score":0.5560088157653809},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.5161162614822388},{"id":"https://openalex.org/keywords/stock","display_name":"Stock (firearms)","score":0.5041261911392212},{"id":"https://openalex.org/keywords/empirical-examination","display_name":"Empirical examination","score":0.47618356347084045},{"id":"https://openalex.org/keywords/empirical-research","display_name":"Empirical research","score":0.4535360336303711},{"id":"https://openalex.org/keywords/opinion-leadership","display_name":"Opinion leadership","score":0.4265980124473572},{"id":"https://openalex.org/keywords/advertising","display_name":"Advertising","score":0.4259132444858551},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3685961365699768},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3641073703765869},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.34847861528396606},{"id":"https://openalex.org/keywords/public-relations","display_name":"Public relations","score":0.17076778411865234},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11507561802864075},{"id":"https://openalex.org/keywords/actuarial-science","display_name":"Actuarial science","score":0.11111834645271301},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.09727239608764648},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09392690658569336}],"concepts":[{"id":"https://openalex.org/C143275388","wikidata":"https://www.wikidata.org/wiki/Q92438","display_name":"Microblogging","level":3,"score":0.9696853160858154},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.8533985614776611},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.6456563472747803},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5642293095588684},{"id":"https://openalex.org/C2778729106","wikidata":"https://www.wikidata.org/wiki/Q1140126","display_name":"Social media analytics","level":3,"score":0.5560088157653809},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5161162614822388},{"id":"https://openalex.org/C204036174","wikidata":"https://www.wikidata.org/wiki/Q909380","display_name":"Stock (firearms)","level":2,"score":0.5041261911392212},{"id":"https://openalex.org/C2993069335","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical examination","level":2,"score":0.47618356347084045},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.4535360336303711},{"id":"https://openalex.org/C139268390","wikidata":"https://www.wikidata.org/wiki/Q1850904","display_name":"Opinion leadership","level":2,"score":0.4265980124473572},{"id":"https://openalex.org/C112698675","wikidata":"https://www.wikidata.org/wiki/Q37038","display_name":"Advertising","level":1,"score":0.4259132444858551},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3685961365699768},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3641073703765869},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.34847861528396606},{"id":"https://openalex.org/C39549134","wikidata":"https://www.wikidata.org/wiki/Q133080","display_name":"Public relations","level":1,"score":0.17076778411865234},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11507561802864075},{"id":"https://openalex.org/C162118730","wikidata":"https://www.wikidata.org/wiki/Q1128453","display_name":"Actuarial science","level":1,"score":0.11111834645271301},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.09727239608764648},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09392690658569336},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.25300/misq/2018/14268","is_oa":false,"landing_page_url":"https://doi.org/10.25300/misq/2018/14268","pdf_url":null,"source":{"id":"https://openalex.org/S57293258","display_name":"MIS Quarterly","issn_l":"0276-7783","issn":["0276-7783","2162-9730"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4327875293","host_organization_name":"MIS Quarterly","host_organization_lineage":["https://openalex.org/P4327875293"],"host_organization_lineage_names":["MIS Quarterly"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"MIS Quarterly","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":84,"referenced_works":["https://openalex.org/W196357788","https://openalex.org/W1495593089","https://openalex.org/W1498589520","https://openalex.org/W1517393888","https://openalex.org/W1774659654","https://openalex.org/W1789808336","https://openalex.org/W1963787328","https://openalex.org/W1985291470","https://openalex.org/W1986872223","https://openalex.org/W1995834279","https://openalex.org/W2000588299","https://openalex.org/W2017238344","https://openalex.org/W2037481123","https://openalex.org/W2038196216","https://openalex.org/W2048658075","https://openalex.org/W2050643653","https://openalex.org/W2057582227","https://openalex.org/W2068451972","https://openalex.org/W2069433961","https://openalex.org/W2072322795","https://openalex.org/W2093362178","https://openalex.org/W2096416445","https://openalex.org/W2100897439","https://openalex.org/W2105399863","https://openalex.org/W2117922789","https://openalex.org/W2120400822","https://openalex.org/W2123950356","https://openalex.org/W2128521145","https://openalex.org/W2136225293","https://openalex.org/W2137704276","https://openalex.org/W2144487825","https://openalex.org/W2149771150","https://openalex.org/W2153325306","https://openalex.org/W2154423338","https://openalex.org/W2154513371","https://openalex.org/W2154597923","https://openalex.org/W2160792525","https://openalex.org/W2163685283","https://openalex.org/W2164777277","https://openalex.org/W2168352563","https://openalex.org/W2171468534","https://openalex.org/W2238750598","https://openalex.org/W2277115990","https://openalex.org/W2333981896","https://openalex.org/W2554619162","https://openalex.org/W2896498531","https://openalex.org/W2914489443","https://openalex.org/W2951936974","https://openalex.org/W3011865677","https://openalex.org/W3094633476","https://openalex.org/W3121465794","https://openalex.org/W3121467893","https://openalex.org/W3121606826","https://openalex.org/W3121745428","https://openalex.org/W3121806563","https://openalex.org/W3122136669","https://openalex.org/W3122563224","https://openalex.org/W3122944446","https://openalex.org/W3123051842","https://openalex.org/W3123432896","https://openalex.org/W3123759571","https://openalex.org/W3124023934","https://openalex.org/W3124305668","https://openalex.org/W3125401837","https://openalex.org/W3125591525","https://openalex.org/W3125780646","https://openalex.org/W3125845135","https://openalex.org/W3125905545","https://openalex.org/W3125952890","https://openalex.org/W3126053622","https://openalex.org/W3150796314","https://openalex.org/W3151685851","https://openalex.org/W4231546411","https://openalex.org/W4234372245","https://openalex.org/W4239946314","https://openalex.org/W4241607431","https://openalex.org/W6600430878","https://openalex.org/W6637734926","https://openalex.org/W6680534422","https://openalex.org/W6681477759","https://openalex.org/W6691644449","https://openalex.org/W6693261210","https://openalex.org/W6725092709","https://openalex.org/W6736960337"],"related_works":["https://openalex.org/W1540611520","https://openalex.org/W2014390821","https://openalex.org/W2354038019","https://openalex.org/W2252197266","https://openalex.org/W3095817971","https://openalex.org/W2361991648","https://openalex.org/W2889265674","https://openalex.org/W2977829254","https://openalex.org/W2967321663","https://openalex.org/W2948425927"],"abstract_inverted_index":{"Opinion":[0],"mining":[1],"of":[2,10,47,109],"microblog":[3,41,82,110],"messages":[4,83],"has":[5],"become":[6],"a":[7,66,74,140],"popular":[8],"application":[9],"business":[11],"analytics":[12],"in":[13,18,33,65,133],"recent":[14],"times.":[15],"Opinions":[16],"reflected":[17],"microblogs":[19],"have":[20,139,152],"provided":[21],"businesses":[22],"with":[23],"great":[24,48],"opportunities":[25],"to":[26,50,79],"acquire":[27],"insights":[28],"into":[29],"their":[30],"operating":[31],"environments":[32],"real":[34],"time.":[35],"In":[36],"particular,":[37],"the":[38,88,91,97,100,107,122,134],"relationship":[39,64],"between":[40],"sentiment":[42,111,126,145],"and":[43,53,90,95,99,118,158],"stock":[44,93,113,137],"returns":[45,114,138],"is":[46,115,127],"interest":[49],"investment":[51],"professionals":[52],"academic":[54],"researchers":[55],"across":[56],"multiple":[57],"disciplines.":[58],"We":[59,69],"empirically":[60],"test":[61],"this":[62],"complex":[63],"comprehensive":[67],"study.":[68],"perform":[70],"vector":[71],"autoregression":[72],"on":[73,112,143,147],"data":[75],"set":[76],"containing":[77],"close":[78],"18":[80],"million":[81],"spanning":[84],"4":[85],"years":[86],"at":[87,96,121],"market":[89],"individual":[92],"levels,":[94],"daily":[98],"hourly":[101],"frequencies.":[102],"The":[103],"results":[104],"show":[105],"that":[106],"influence":[108,142],"both":[116,156],"statistically":[117],"economically":[119],"significant":[120],"hour":[123],"level.":[124],"Microblog":[125],"also":[128],"largely":[129],"driven":[130],"by":[131],"movements":[132],"market.":[135],"Moreover,":[136],"stronger":[141],"negative":[144],"than":[146],"positive":[148],"sentiment.":[149],"These":[150],"findings":[151],"important":[153],"implications":[154],"for":[155],"research":[157],"practice.":[159]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":22},{"year":2024,"cited_by_count":32},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":26},{"year":2021,"cited_by_count":20},{"year":2020,"cited_by_count":15},{"year":2019,"cited_by_count":8},{"year":2017,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}