Scholar4AI Updated 2026-11-04 18:03 UTC+09:00

Earnings call transcripts

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data category: Corporate filings and text · 2 papers in the last 7 days

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Annual reports and other regulatory filings, earnings calls, and the word lists used to read them.

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Names searched for: earnings call transcript, earnings conference call, conference call transcript

Key findings#

  • From Nov 2023 to Oct 2026, 232 archived papers mentioned Earnings call transcripts in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Jul 2026 (16).
  • Earnings call transcripts was mentioned in 11 papers in the last 30 days (2026-10-06 to 2026-11-04), ranking #19 of the 255 datasets mentioned.
  • By journal category: Finance (5), Information Systems (2), Management (2), AI (1) and Operations Research (1).
  • Most of them appeared in Journal of Business Research (2), Finance research letters (2) and Journal of Computational Social Science (1).
  • From 2017 to 2026 (so far), Earnings call transcripts was mentioned in 271 papers in the tracked journals, most of them in finance (111), accounting (70) and management (40).
  • 63 of them were published in 2025, against 2 in 2017.
  • Since 2023, the institutions with the most of these papers were Chulalongkorn University (8), Pennsylvania State University (8) and The University of Western Australia (7).
  • The journals publishing most of them were Review of Accounting Studies (21), International Review of Financial Analysis (14) and The British Accounting Review (13).
  • The most-cited of them is “The economic effects of trade policy uncertainty” (Journal of Monetary Economics, 2019), with 738 citations.
  • Papers use Earnings call transcripts most often with Compustat (77), Loughran-McDonald dictionary (56) and CRSP (48); it has 65 partners in the code and data network, in the group around S&P 500, Economic Policy…, Compustat.

Mentions over 36 months#

Papers mentioning it by publication month, Nov 2023 to Oct 2026 (titles, abstracts and keywords; the full texts of earlier months are still being searched)
TrendNov 23–Oct 24Nov 24–Oct 25Nov 25–Oct 2636 months
6065107232

Papers per year#

2017: 2 papers2018: 3 papers2019: 4 papers2020: 3 papers2021: 6 papers2022: 11 papers2023: 20 papers2024: 59 papers2025: 63 papers2026 (so far): 100 papers
20172026 (so far)
Papers per publication year and category
Category2017201820192020202120222023202420252026 (so far)
Finance0002377292439
Accounting2230221161527
Management01000258816
Economics00100052106
AI0000001234
Information Systems0001000114
Operations Research0000000103
Marketing0000100010
Tourism and Hospitality0000001000
Statistics0000000010
Higher Education and Research0000000001
All categories2343611205963100

Where the papers come from#

Countries with the most papers, since 2023
#CountryPapers
1United States80
2United Kingdom63
3China48
4Australia24
5Germany15
6Hong Kong13
7Canada12
8Finland10
9France9
10Singapore9
Keywords with the most papers, since 2023
#KeywordPapers
1earnings conference calls72
2corporate governance23
3earnings call transcripts22
4information asymmetry21
5climate risk15
6large language models15
7climate change exposure13
8organizational culture11
9Chinese listed companies10
10financial constraints10

Most-cited papers#

Most-cited papers since 2017
#CitationsPer monthTitleJournalPublishedAuthors
17388.8The economic effects of trade policy uncertaintyJournal of Monetary Economics2019-11-08Dario Caldara, Matteo M. Iacoviello, Patrick Molligo et al.
22322.0Managing the Narrative: Investor Relations Officers and Corporate DisclosureJournal of Accounting and Economics2017-01-01Lawrence D. Brown, Andrew C. Call, Michael B. Clement et al.
32056.5Trade credit and the stability of supply chainsJournal of Financial Economics2024-03-21Nuri Ersahin, Mariassunta Giannetti, Ruidi Huang
41895.4When attention to climate change matters: The impact of climate risk disclosure on firm market valueEnergy Policy2023-12-12Roberto Vestrelli, Andrea Fronzetti Colladon, Anna Laura Pisello
51351.4Manager-analyst conversations in earnings conference callsReview of Accounting Studies2018-07-11Jason V. Chen, Venky Nagar, Jordan Schoenfeld

Archive counts by publication year: a paper counts when its title, abstract or keywords name the dataset, or when OpenAlex's full-text search finds it there (searched for the last 30 days' papers and, by a pass over the past years, for older ones). Names added to the list later are looked for in older papers as the archive is read again.

Used together with#

Papers use Earnings call transcripts most often with Compustat (77), Loughran-McDonald dictionary (56) and CRSP (48); it has 65 partners in the code and data network, in the group around S&P 500, Economic Policy…, Compustat. The whole network →

What papers use Earnings call transcripts together with (at least 3 papers; lift 1 = chance)
Used withTypePapers using bothLift
CompustatDataset7721.6
Loughran-McDonald dictionaryDataset5650.2
CRSPDataset4819.9
I/B/E/SDataset3222.4
S&P 500Dataset302.3
Twitter / XDataset301.2
10-K filingsDataset2918.1
Economic Policy Uncertainty indexDataset282.1
Refinitiv Eikon / LSEG WorkspaceDataset209.3
ExecuCompDataset1837.0
Climate Policy Uncertainty indexDataset175.4
WRDSDataset1723.8
Papers mentioning Earnings call transcripts in the last 30 days, newest first.
DateTitleJournalAuthorsAffiliations
2026-10-30FinTime-Fuse: a multimodal LLM for aligning news and financial time-series in enhanced forecastingJournal of Computational Social ScienceShangyang Mou, Qiang Xue, Jinhui Chen et al.Kobe University; Wakayama University; Center for Computational Social Science, Kobe University
2026-10-29Acoustic–semantic equivalence: A trimodal framework for B2B sales communication effectiveness and training allocationJournal of Business ResearchJoona Mäntyvaara, Paavo Nevalainen, Jukka HeikkonenUniversity of Turku
2026-10-27Expert-Gated Large Language Model Framework for financial argument classificationInformation Processing & ManagementHarish Pratap Singh, Mayank Saini, Nishant Singh et al.University of Petroleum and Energy Studies; Rajiv Gandhi Institute of Petroleum Technology
2026-10-18Reproducible LLM-based measurement depends on the serving stackFinance research lettersHsiang-Chieh YangAugusta University
2026-10-17Expected default risk and abnormal returns: Evidence from textual disclosures in earnings conference callsDecision Support SystemsYi‐Mien Lin, Li-Yu ChenNational Chung Hsing University; National Taipei University; National Sun Yat-sen University
2026-10-15Scripted and unscripted disclosure: Tone in Brazilian earnings calls and short-window market reactionsInternational Review of Economics & FinanceRodrigo Dos Reis Maia, Jorge Miguel BravoUniversidade Nova de Lisboa
2026-10-13Can central bankers' talk predict bank stock returns? A machine learning approachInternational Review of Financial AnalysisApostolos G. Katsafados, George N. Leledakis, Nikolaos P. Panagiotou et al.Athens University of Economics and Business; University College Dublin
2026-10-09State ownership, media sentiment, and the completion of cross-border acquisitionsJournal of Business ResearchYan Gao, Chao ZhangNorthumbria University
2026-10-08The impact of firm-specific climate change exposure on vertical integrationInternational Journal of Production EconomicsMiaomiao Zhang, Hugo K.S. Lam, Yangchun Xiong et al.Hong Kong Polytechnic University; University of Liverpool; University of York; …
2026-10-07Does the language model matter? Evidence from four independent scorings of earnings conference callsFinance research lettersPieter J. de JongUniversity of North Florida
2026-10-06Chronologically consistent large language modelsJournal of Financial EconomicsSongrun He, Linying Lv, Asaf Manela et al.Chinese University of Hong Kong; Washington University in St. Louis; University of Iowa
Cite this page

Scholar4AI. (2026). Earnings call transcripts. Journal and Conference Research Rankings. Retrieved November 4, 2026, from https://scholar4ai.com/datasets/earnings-call-transcripts

@misc{scholar4ai-datasets-earnings-call-transcripts,
  author = {{Scholar4AI}},
  title = {Earnings call transcripts},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/earnings-call-transcripts}},
  urldate = {2026-11-04},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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