---
title: "Earnings call transcripts: research papers using this data"
description: "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)."
url: https://scholar4ai.com/datasets/earnings-call-transcripts
markdown_url: https://scholar4ai.com/datasets/earnings-call-transcripts.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "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). (as of 2026-11-05)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-05T06:02:37+09:00
window: 2026-10-07 to 2026-11-05
source: OpenAlex (CC0)
---

# Earnings call transcripts

[Browse dataset profiles](https://scholar4ai.com/datasets/directory/page/2.md)

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

- data category: Corporate filings and text
- 1 paper in the last 7 days
- Names searched for: earnings call transcript, earnings conference call, conference call transcript

Most-used data: https://scholar4ai.com/rankings/datasets.md · All Corporate filings and text datasets: https://scholar4ai.com/datasets/corporate-filings-and-text.md



## 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 10 papers in the last 30 days (2026-10-07 to 2026-11-05), ranking #26 of the 246 datasets mentioned.
- By journal category: Finance (4), 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)*

| Trend | Nov 23–Oct 24 | Nov 24–Oct 25 | Nov 25–Oct 26 | 36 months |
|---|---:|---:|---:|---:|
|  | 60 | 65 | 107 | 232 |

## Papers per year

*Papers per publication year and category*

| Category | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (so far) |
|---|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|
| [Finance](https://scholar4ai.com/categories/finance.md) | 0 | 0 | 0 | 2 | 3 | 7 | 7 | 29 | 24 | 39 |
| [Accounting](https://scholar4ai.com/categories/accounting.md) | 2 | 2 | 3 | 0 | 2 | 2 | 1 | 16 | 15 | 27 |
| [Management](https://scholar4ai.com/categories/management.md) | 0 | 1 | 0 | 0 | 0 | 2 | 5 | 8 | 8 | 16 |
| [Economics](https://scholar4ai.com/categories/economics.md) | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 2 | 10 | 6 |
| [AI](https://scholar4ai.com/categories/ai.md) | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | 4 |
| [Information Systems](https://scholar4ai.com/categories/information-systems.md) | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 4 |
| [Operations Research](https://scholar4ai.com/categories/operations-research.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 |
| [Marketing](https://scholar4ai.com/categories/marketing.md) | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 |
| [Tourism and Hospitality](https://scholar4ai.com/categories/tourism-and-hospitality.md) | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
| [Statistics](https://scholar4ai.com/categories/statistics.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| [Higher Education and Research](https://scholar4ai.com/categories/higher-education-and-research.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| All categories | 2 | 3 | 4 | 3 | 6 | 11 | 20 | 59 | 63 | 100 |

## Where the papers come from

*Journals with the most papers, since 2023*

| # | Journal | Papers |
|---:|---|---:|
| 1 | [Review of Accounting Studies](https://scholar4ai.com/journals/review-of-accounting-studies.md) | 21 |
| 2 | [International Review of Financial Analysis](https://scholar4ai.com/journals/international-review-of-financial-analysis.md) | 14 |
| 3 | [The British Accounting Review](https://scholar4ai.com/journals/the-british-accounting-review.md) | 13 |
| 4 | [Finance research letters](https://scholar4ai.com/journals/finance-research-letters.md) | 12 |
| 5 | [Journal of Corporate Finance](https://scholar4ai.com/journals/journal-of-corporate-finance.md) | 10 |
| 6 | [Journal of Business Research](https://scholar4ai.com/journals/journal-of-business-research.md) | 9 |
| 7 | [Review of Quantitative Finance and Accounting](https://scholar4ai.com/journals/review-of-quantitative-finance-and-accounting.md) | 9 |
| 8 | [International Review of Economics & Finance](https://scholar4ai.com/journals/international-review-of-economics-finance.md) | 9 |
| 9 | [Journal of Business Ethics](https://scholar4ai.com/journals/journal-of-business-ethics.md) | 7 |
| 10 | [Research in International Business and Finance](https://scholar4ai.com/journals/research-in-international-business-and-finance.md) | 6 |

*Institutions with the most papers, since 2023*

| # | Institution | Papers |
|---:|---|---:|
| 1 | Chulalongkorn University | 8 |
| 2 | [Pennsylvania State University](https://scholar4ai.com/institutions/pennsylvania-state-university.md) | 8 |
| 3 | [The University of Western Australia](https://scholar4ai.com/institutions/the-university-of-western-australia.md) | 7 |
| 4 | [Singapore Management University](https://scholar4ai.com/institutions/singapore-management-university.md) | 6 |
| 5 | [Southwestern University of Finance and Economics](https://scholar4ai.com/institutions/southwestern-university-of-finance-and-economics.md) | 6 |
| 6 | [University of Vaasa](https://scholar4ai.com/institutions/university-of-vaasa.md) | 6 |
| 7 | [Chinese University of Hong Kong, Shenzhen](https://scholar4ai.com/institutions/chinese-university-of-hong-kong-shenzhen.md) | 5 |
| 8 | [New York University](https://scholar4ai.com/institutions/new-york-university.md) | 5 |
| 9 | [Rutgers, The State University of New Jersey](https://scholar4ai.com/institutions/rutgers-the-state-university-of-new-jersey.md) | 5 |
| 10 | [Aarhus University](https://scholar4ai.com/institutions/aarhus-university.md) | 4 |

*Countries with the most papers, since 2023*

| # | Country | Papers |
|---:|---|---:|
| 1 | United States | 80 |
| 2 | United Kingdom | 63 |
| 3 | China | 48 |
| 4 | Australia | 24 |
| 5 | Germany | 15 |
| 6 | Hong Kong | 13 |
| 7 | Canada | 12 |
| 8 | Finland | 10 |
| 9 | France | 9 |
| 10 | Singapore | 9 |

*Keywords with the most papers, since 2023*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | earnings conference calls | 72 |
| 2 | [corporate governance](https://scholar4ai.com/keywords/corporate-governance.md) | 23 |
| 3 | earnings call transcripts | 22 |
| 4 | [information asymmetry](https://scholar4ai.com/keywords/information-asymmetry.md) | 21 |
| 5 | [climate risk](https://scholar4ai.com/keywords/climate-risk.md) | 15 |
| 6 | [large language models](https://scholar4ai.com/keywords/large-language-models.md) | 15 |
| 7 | climate change exposure | 13 |
| 8 | [organizational culture](https://scholar4ai.com/keywords/organizational-culture.md) | 11 |
| 9 | [Chinese listed companies](https://scholar4ai.com/keywords/chinese-listed-companies.md) | 10 |
| 10 | [financial constraints](https://scholar4ai.com/keywords/financial-constraints.md) | 10 |

## Most-cited papers

*Most-cited papers since 2017*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 738 | 8.8 | [The economic effects of trade policy uncertainty](https://doi.org/10.1016/j.jmoneco.2019.11.002) | [Journal of Monetary Economics](https://scholar4ai.com/journals/journal-of-monetary-economics.md) | 2019-11-08 | Dario Caldara, Matteo M. Iacoviello, Patrick Molligo et al. |
| 2 | 232 | 2.0 | [Managing the Narrative: Investor Relations Officers and Corporate Disclosure](https://doi.org/10.1016/j.jacceco.2018.08.014) | [Journal of Accounting and Economics](https://scholar4ai.com/journals/journal-of-accounting-and-economics.md) | 2017-01-01 | Lawrence D. Brown, Andrew C. Call, Michael B. Clement et al. |
| 3 | 205 | 6.5 | [Trade credit and the stability of supply chains](https://doi.org/10.1016/j.jfineco.2024.103830) | [Journal of Financial Economics](https://scholar4ai.com/journals/journal-of-financial-economics.md) | 2024-03-21 | Nuri Ersahin, Mariassunta Giannetti, Ruidi Huang |
| 4 | 189 | 5.4 | [When attention to climate change matters: The impact of climate risk disclosure on firm market value](https://doi.org/10.1016/j.enpol.2023.113938) | [Energy Policy](https://scholar4ai.com/journals/energy-policy.md) | 2023-12-12 | Roberto Vestrelli, Andrea Fronzetti Colladon, Anna Laura Pisello |
| 5 | 135 | 1.4 | [Manager-analyst conversations in earnings conference calls](https://doi.org/10.1007/s11142-018-9453-3) | [Review of Accounting Studies](https://scholar4ai.com/journals/review-of-accounting-studies.md) | 2018-07-11 | Jason V. Chen, Venky Nagar, Jordan Schoenfeld |

## 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.

*What papers use Earnings call transcripts together with (at least 3 papers; lift 1 = chance)*

| Used with | Type | Papers using both | Lift |
|---|---|---:|---:|
| [Compustat](https://scholar4ai.com/datasets/compustat.md) | Dataset | 77 | 21.6 |
| [Loughran-McDonald dictionary](https://scholar4ai.com/datasets/loughran-mcdonald-dictionary.md) | Dataset | 56 | 50.2 |
| [CRSP](https://scholar4ai.com/datasets/crsp.md) | Dataset | 48 | 19.9 |
| [I/B/E/S](https://scholar4ai.com/datasets/i-b-e-s.md) | Dataset | 32 | 22.4 |
| [S&P 500](https://scholar4ai.com/datasets/s-p-500.md) | Dataset | 30 | 2.3 |
| [Twitter / X](https://scholar4ai.com/datasets/twitter-x.md) | Dataset | 30 | 1.2 |
| [10-K filings](https://scholar4ai.com/datasets/10-k-filings.md) | Dataset | 29 | 18.1 |
| [Economic Policy Uncertainty index](https://scholar4ai.com/datasets/economic-policy-uncertainty-index.md) | Dataset | 28 | 2.1 |
| [Refinitiv Eikon / LSEG Workspace](https://scholar4ai.com/datasets/refinitiv-eikon-lseg-workspace.md) | Dataset | 20 | 9.3 |
| [ExecuComp](https://scholar4ai.com/datasets/execucomp.md) | Dataset | 18 | 37.0 |
| [Climate Policy Uncertainty index](https://scholar4ai.com/datasets/climate-policy-uncertainty-index.md) | Dataset | 17 | 5.4 |
| [WRDS](https://scholar4ai.com/datasets/wrds.md) | Dataset | 17 | 23.8 |

The whole network: https://scholar4ai.com/code/network.md

## Papers

*Papers mentioning Earnings call transcripts in the last 30 days, newest first.*

| Date | Title | Journal | Authors | Affiliations |
|---|---|---|---|---|
| 2026-10-30 | [FinTime-Fuse: a multimodal LLM for aligning news and financial time-series in enhanced forecasting](https://doi.org/10.1007/s42001-026-00494-z) | [Journal of Computational Social Science](https://scholar4ai.com/journals/journal-of-computational-social-science.md) | Shangyang Mou, Qiang Xue, Jinhui Chen et al. | Kobe University; Wakayama University; Center for Computational Social Science, Kobe University |
| 2026-10-29 | [Acoustic–semantic equivalence: A trimodal framework for B2B sales communication effectiveness and training allocation](https://doi.org/10.1016/j.jbusres.2026.116609) | [Journal of Business Research](https://scholar4ai.com/journals/journal-of-business-research.md) | Joona Mäntyvaara, Paavo Nevalainen, Jukka Heikkonen | University of Turku |
| 2026-10-27 | [Expert-Gated Large Language Model Framework for financial argument classification](https://doi.org/10.1016/j.ipm.2026.105274) | [Information Processing & Management](https://scholar4ai.com/journals/information-processing-management.md) | Harish Pratap Singh, Mayank Saini, Nishant Singh et al. | University of Petroleum and Energy Studies; Rajiv Gandhi Institute of Petroleum Technology |
| 2026-10-18 | [Reproducible LLM-based measurement depends on the serving stack](https://doi.org/10.1016/j.frl.2026.110909) | [Finance research letters](https://scholar4ai.com/journals/finance-research-letters.md) | Hsiang-Chieh Yang | Augusta University |
| 2026-10-17 | [Expected default risk and abnormal returns: Evidence from textual disclosures in earnings conference calls](https://doi.org/10.1016/j.dss.2026.114783) | [Decision Support Systems](https://scholar4ai.com/journals/decision-support-systems.md) | Yi‐Mien Lin, Li-Yu Chen | National Chung Hsing University; National Taipei University; National Sun Yat-sen University |
| 2026-10-15 | [Scripted and unscripted disclosure: Tone in Brazilian earnings calls and short-window market reactions](https://doi.org/10.1016/j.iref.2026.105952) | [International Review of Economics & Finance](https://scholar4ai.com/journals/international-review-of-economics-finance.md) | Rodrigo Dos Reis Maia, Jorge Miguel Bravo | Universidade Nova de Lisboa |
| 2026-10-13 | [Can central bankers' talk predict bank stock returns? A machine learning approach](https://doi.org/10.1016/j.irfa.2026.105465) | [International Review of Financial Analysis](https://scholar4ai.com/journals/international-review-of-financial-analysis.md) | Apostolos G. Katsafados, George N. Leledakis, Nikolaos P. Panagiotou et al. | Athens University of Economics and Business; University College Dublin |
| 2026-10-09 | [State ownership, media sentiment, and the completion of cross-border acquisitions](https://doi.org/10.1016/j.jbusres.2026.116576) | [Journal of Business Research](https://scholar4ai.com/journals/journal-of-business-research.md) | Yan Gao, Chao Zhang | Northumbria University |
| 2026-10-08 | [The impact of firm-specific climate change exposure on vertical integration](https://doi.org/10.1016/j.ijpe.2026.110245) | [International Journal of Production Economics](https://scholar4ai.com/journals/international-journal-of-production-economics.md) | Miaomiao Zhang, Hugo K.S. Lam, Yangchun Xiong et al. | Hong Kong Polytechnic University; University of Liverpool; University of York; … |
| 2026-10-07 | [Does the language model matter? Evidence from four independent scorings of earnings conference calls](https://doi.org/10.1016/j.frl.2026.110893) | [Finance research letters](https://scholar4ai.com/journals/finance-research-letters.md) | Pieter J. de Jong | University of North Florida |

## Cite this page

Scholar4AI. (2026). Earnings call transcripts. Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/earnings-call-transcripts

```bibtex
@misc{scholar4ai-datasets-earnings-call-transcripts,
  author = {{Scholar4AI}},
  title = {Earnings call transcripts},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/earnings-call-transcripts}},
  urldate = {2026-11-05},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).