Detecting Insider Trading in the Era of Big Data and Machine Learning Article Swipe
Christian Lundblad
,
Zhishu Yang
,
Qi Zhang
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.2139/ssrn.4240205
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.2139/ssrn.4240205
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.2139/ssrn.4240205
- OA Status
- green
- Cited By
- 6
- References
- 34
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4312417338
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4312417338Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.2139/ssrn.4240205Digital Object Identifier
- Title
-
Detecting Insider Trading in the Era of Big Data and Machine LearningWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-01-01Full publication date if available
- Authors
-
Christian Lundblad, Zhishu Yang, Qi ZhangList of authors in order
- Landing page
-
https://doi.org/10.2139/ssrn.4240205Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.2139/ssrn.4240205Direct OA link when available
- Concepts
-
Big data, Insider trading, Insider, Computer science, Artificial intelligence, Data science, Business, Machine learning, Data mining, Political science, Finance, LawTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
6Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2024: 3, 2022: 2Per-year citation counts (last 5 years)
- References (count)
-
34Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4312417338 |
|---|---|
| doi | https://doi.org/10.2139/ssrn.4240205 |
| ids.doi | https://doi.org/10.2139/ssrn.4240205 |
| ids.openalex | https://openalex.org/W4312417338 |
| fwci | 1.65373496 |
| type | article |
| title | Detecting Insider Trading in the Era of Big Data and Machine Learning |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T10047 |
| topics[0].field.id | https://openalex.org/fields/20 |
| topics[0].field.display_name | Economics, Econometrics and Finance |
| topics[0].score | 0.9151999950408936 |
| topics[0].domain.id | https://openalex.org/domains/2 |
| topics[0].domain.display_name | Social Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2003 |
| topics[0].subfield.display_name | Finance |
| topics[0].display_name | Financial Markets and Investment Strategies |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C75684735 |
| concepts[0].level | 2 |
| concepts[0].score | 0.7136123180389404 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q858810 |
| concepts[0].display_name | Big data |
| concepts[1].id | https://openalex.org/C2781078320 |
| concepts[1].level | 2 |
| concepts[1].score | 0.5741924047470093 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q854623 |
| concepts[1].display_name | Insider trading |
| concepts[2].id | https://openalex.org/C2778971194 |
| concepts[2].level | 2 |
| concepts[2].score | 0.4656001031398773 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q1664551 |
| concepts[2].display_name | Insider |
| concepts[3].id | https://openalex.org/C41008148 |
| concepts[3].level | 0 |
| concepts[3].score | 0.44389280676841736 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[3].display_name | Computer science |
| concepts[4].id | https://openalex.org/C154945302 |
| concepts[4].level | 1 |
| concepts[4].score | 0.43625542521476746 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[4].display_name | Artificial intelligence |
| concepts[5].id | https://openalex.org/C2522767166 |
| concepts[5].level | 1 |
| concepts[5].score | 0.42642539739608765 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q2374463 |
| concepts[5].display_name | Data science |
| concepts[6].id | https://openalex.org/C144133560 |
| concepts[6].level | 0 |
| concepts[6].score | 0.3868747651576996 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q4830453 |
| concepts[6].display_name | Business |
| concepts[7].id | https://openalex.org/C119857082 |
| concepts[7].level | 1 |
| concepts[7].score | 0.3642880320549011 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q2539 |
| concepts[7].display_name | Machine learning |
| concepts[8].id | https://openalex.org/C124101348 |
| concepts[8].level | 1 |
| concepts[8].score | 0.2203090488910675 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q172491 |
| concepts[8].display_name | Data mining |
| concepts[9].id | https://openalex.org/C17744445 |
| concepts[9].level | 0 |
| concepts[9].score | 0.21656310558319092 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q36442 |
| concepts[9].display_name | Political science |
| concepts[10].id | https://openalex.org/C10138342 |
| concepts[10].level | 1 |
| concepts[10].score | 0.2047889530658722 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q43015 |
| concepts[10].display_name | Finance |
| concepts[11].id | https://openalex.org/C199539241 |
| concepts[11].level | 1 |
| concepts[11].score | 0.10194912552833557 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q7748 |
| concepts[11].display_name | Law |
| keywords[0].id | https://openalex.org/keywords/big-data |
| keywords[0].score | 0.7136123180389404 |
| keywords[0].display_name | Big data |
| keywords[1].id | https://openalex.org/keywords/insider-trading |
| keywords[1].score | 0.5741924047470093 |
| keywords[1].display_name | Insider trading |
| keywords[2].id | https://openalex.org/keywords/insider |
| keywords[2].score | 0.4656001031398773 |
| keywords[2].display_name | Insider |
| keywords[3].id | https://openalex.org/keywords/computer-science |
| keywords[3].score | 0.44389280676841736 |
| keywords[3].display_name | Computer science |
| keywords[4].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[4].score | 0.43625542521476746 |
| keywords[4].display_name | Artificial intelligence |
| keywords[5].id | https://openalex.org/keywords/data-science |
| keywords[5].score | 0.42642539739608765 |
| keywords[5].display_name | Data science |
| keywords[6].id | https://openalex.org/keywords/business |
| keywords[6].score | 0.3868747651576996 |
| keywords[6].display_name | Business |
| keywords[7].id | https://openalex.org/keywords/machine-learning |
| keywords[7].score | 0.3642880320549011 |
| keywords[7].display_name | Machine learning |
| keywords[8].id | https://openalex.org/keywords/data-mining |
| keywords[8].score | 0.2203090488910675 |
| keywords[8].display_name | Data mining |
| keywords[9].id | https://openalex.org/keywords/political-science |
| keywords[9].score | 0.21656310558319092 |
| keywords[9].display_name | Political science |
| keywords[10].id | https://openalex.org/keywords/finance |
| keywords[10].score | 0.2047889530658722 |
| keywords[10].display_name | Finance |
| keywords[11].id | https://openalex.org/keywords/law |
| keywords[11].score | 0.10194912552833557 |
| keywords[11].display_name | Law |
| language | en |
| locations[0].id | doi:10.2139/ssrn.4240205 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4210172589 |
| locations[0].source.issn | 1556-5068 |
| locations[0].source.type | repository |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 1556-5068 |
| locations[0].source.is_core | False |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | SSRN Electronic Journal |
| locations[0].source.host_organization | https://openalex.org/I1318003438 |
| locations[0].source.host_organization_name | RELX Group (Netherlands) |
| locations[0].source.host_organization_lineage | https://openalex.org/I1318003438 |
| locations[0].license | |
| locations[0].pdf_url | |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | SSRN Electronic Journal |
| locations[0].landing_page_url | https://doi.org/10.2139/ssrn.4240205 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5063542668 |
| authorships[0].author.orcid | https://orcid.org/0000-0003-1937-5462 |
| authorships[0].author.display_name | Christian Lundblad |
| authorships[0].countries | US |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I863174327 |
| authorships[0].affiliations[0].raw_affiliation_string | University of North Carolina Kenan-Flagler Business School |
| authorships[0].affiliations[1].raw_affiliation_string | Frank Hawkins Kenan Institute of Private Enterprise |
| authorships[0].institutions[0].id | https://openalex.org/I863174327 |
| authorships[0].institutions[0].ror | https://ror.org/00cvkwk76 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I863174327 |
| authorships[0].institutions[0].country_code | US |
| authorships[0].institutions[0].display_name | Flagler College |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Christian T. Lundblad |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Frank Hawkins Kenan Institute of Private Enterprise, University of North Carolina Kenan-Flagler Business School |
| authorships[1].author.id | https://openalex.org/A5019333799 |
| authorships[1].author.orcid | |
| authorships[1].author.display_name | Zhishu Yang |
| authorships[1].countries | CN |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I99065089 |
| authorships[1].affiliations[0].raw_affiliation_string | Tsinghua University - School of Economics & Management |
| authorships[1].institutions[0].id | https://openalex.org/I99065089 |
| authorships[1].institutions[0].ror | https://ror.org/03cve4549 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I99065089 |
| authorships[1].institutions[0].country_code | CN |
| authorships[1].institutions[0].display_name | Tsinghua University |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Zhishu Yang |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Tsinghua University - School of Economics & Management |
| authorships[2].author.id | https://openalex.org/A5100360340 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-6679-4566 |
| authorships[2].author.display_name | Qi Zhang |
| authorships[2].countries | CN |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I183067930 |
| authorships[2].affiliations[0].raw_affiliation_string | Shanghai Jiao Tong University (SJTU) |
| authorships[2].institutions[0].id | https://openalex.org/I183067930 |
| authorships[2].institutions[0].ror | https://ror.org/0220qvk04 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I183067930 |
| authorships[2].institutions[0].country_code | CN |
| authorships[2].institutions[0].display_name | Shanghai Jiao Tong University |
| authorships[2].author_position | last |
| authorships[2].raw_author_name | Qi Zhang |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Shanghai Jiao Tong University (SJTU) |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.2139/ssrn.4240205 |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Detecting Insider Trading in the Era of Big Data and Machine Learning |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10047 |
| primary_topic.field.id | https://openalex.org/fields/20 |
| primary_topic.field.display_name | Economics, Econometrics and Finance |
| primary_topic.score | 0.9151999950408936 |
| primary_topic.domain.id | https://openalex.org/domains/2 |
| primary_topic.domain.display_name | Social Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2003 |
| primary_topic.subfield.display_name | Finance |
| primary_topic.display_name | Financial Markets and Investment Strategies |
| related_works | https://openalex.org/W2382215091, https://openalex.org/W4322629366, https://openalex.org/W2808989540, https://openalex.org/W2397053934, https://openalex.org/W1039292361, https://openalex.org/W2551093110, https://openalex.org/W273314610, https://openalex.org/W4237919137, https://openalex.org/W3184179822, https://openalex.org/W3095362084 |
| cited_by_count | 6 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 1 |
| counts_by_year[1].year | 2024 |
| counts_by_year[1].cited_by_count | 3 |
| counts_by_year[2].year | 2022 |
| counts_by_year[2].cited_by_count | 2 |
| locations_count | 1 |
| best_oa_location.id | doi:10.2139/ssrn.4240205 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4210172589 |
| best_oa_location.source.issn | 1556-5068 |
| best_oa_location.source.type | repository |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 1556-5068 |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | SSRN Electronic Journal |
| best_oa_location.source.host_organization | https://openalex.org/I1318003438 |
| best_oa_location.source.host_organization_name | RELX Group (Netherlands) |
| best_oa_location.source.host_organization_lineage | https://openalex.org/I1318003438 |
| best_oa_location.license | |
| best_oa_location.pdf_url | |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | SSRN Electronic Journal |
| best_oa_location.landing_page_url | https://doi.org/10.2139/ssrn.4240205 |
| primary_location.id | doi:10.2139/ssrn.4240205 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4210172589 |
| primary_location.source.issn | 1556-5068 |
| primary_location.source.type | repository |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 1556-5068 |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | SSRN Electronic Journal |
| primary_location.source.host_organization | https://openalex.org/I1318003438 |
| primary_location.source.host_organization_name | RELX Group (Netherlands) |
| primary_location.source.host_organization_lineage | https://openalex.org/I1318003438 |
| primary_location.license | |
| primary_location.pdf_url | |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | SSRN Electronic Journal |
| primary_location.landing_page_url | https://doi.org/10.2139/ssrn.4240205 |
| publication_date | 2022-01-01 |
| publication_year | 2022 |
| referenced_works | https://openalex.org/W2533835508, https://openalex.org/W1484442299, https://openalex.org/W2158780611, https://openalex.org/W2787511243, https://openalex.org/W6745863872, https://openalex.org/W2946396720, https://openalex.org/W3125753879, https://openalex.org/W4231616006, https://openalex.org/W2104914558, https://openalex.org/W1496551994, https://openalex.org/W6652991032, https://openalex.org/W2113232365, https://openalex.org/W6611685482, https://openalex.org/W3122069775, https://openalex.org/W6860157780, https://openalex.org/W2121099237, https://openalex.org/W2134653421, https://openalex.org/W2151487897, https://openalex.org/W6697265569, https://openalex.org/W2618851150, https://openalex.org/W2058740981, https://openalex.org/W2335689005, https://openalex.org/W341545335, https://openalex.org/W4389546930, https://openalex.org/W3121539549, https://openalex.org/W2962862931, https://openalex.org/W3126064374, https://openalex.org/W3124795352, https://openalex.org/W3125758534, https://openalex.org/W2010496837, https://openalex.org/W3121585434, https://openalex.org/W2296719434, https://openalex.org/W4299602186, https://openalex.org/W2770354671 |
| referenced_works_count | 34 |
| abstract_inverted_index | |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 91 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 3 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/8 |
| sustainable_development_goals[0].score | 0.4699999988079071 |
| sustainable_development_goals[0].display_name | Decent work and economic growth |
| citation_normalized_percentile.value | 0.82572333 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |