---
title: "Baker-Wurgler investor sentiment: papers using it"
description: "From Nov 2023 to Oct 2026, 158 archived papers mentioned Baker-Wurgler investor sentiment in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Sep 2026 (13)."
url: https://scholar4ai.com/datasets/baker-wurgler-investor-sentiment
markdown_url: https://scholar4ai.com/datasets/baker-wurgler-investor-sentiment.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "From Nov 2023 to Oct 2026, 158 archived papers mentioned Baker-Wurgler investor sentiment in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Sep 2026 (13). (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)
---

# Baker-Wurgler investor sentiment

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

Text- and survey-based indices of policy uncertainty, geopolitical risk, investor sentiment and financial stress.

- data category: Uncertainty and sentiment indices
- 0 papers in the last 7 days
- Names searched for: Baker and Wurgler, Baker-Wurgler

Most-used data: https://scholar4ai.com/rankings/datasets.md · All Uncertainty and sentiment indices datasets: https://scholar4ai.com/datasets/uncertainty-and-sentiment-indices.md



## Key findings

- From Nov 2023 to Oct 2026, 158 archived papers mentioned Baker-Wurgler investor sentiment in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Sep 2026 (13).
- Baker-Wurgler investor sentiment was mentioned in 3 papers in the last 30 days (2026-10-07 to 2026-11-05), ranking #103 of the 246 datasets mentioned.
- By journal category: Finance (2) and Operations Research (1).
- Most of them appeared in Digital Finance (1), Financial markets and portfolio management (1) and Annals of Operations Research (1).
- From 2017 to 2026 (so far), Baker-Wurgler investor sentiment was mentioned in 163 papers in the tracked journals, most of them in finance (119), economics (21) and accounting (8).
- 41 of them were published in 2025, against 0 in 2017.
- Since 2023, the institutions with the most of these papers were Monash University (5), University of Birmingham (5) and Durham University (4).
- The journals publishing most of them were International Review of Economics & Finance (14), International Review of Financial Analysis (12) and Financial Innovation (12).
- The most-cited of them is “Machine learning and fund characteristics help to select mutual funds with positive alpha” (Journal of Financial Economics, 2023), with 115 citations.
- Papers use Baker-Wurgler investor sentiment most often with S&P 500 (60), Twitter / X (46) and CRSP (42); it has 66 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 |
|---|---:|---:|---:|---:|
|  | 47 | 44 | 67 | 158 |

## 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 | 0 | 0 | 0 | 10 | 32 | 26 | 51 |
| [Economics](https://scholar4ai.com/categories/economics.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 8 | 4 |
| [Accounting](https://scholar4ai.com/categories/accounting.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | 2 |
| [Management](https://scholar4ai.com/categories/management.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 2 |
| [Operations Research](https://scholar4ai.com/categories/operations-research.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 2 |
| [Information Systems](https://scholar4ai.com/categories/information-systems.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| [AI](https://scholar4ai.com/categories/ai.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| [Tourism and Hospitality](https://scholar4ai.com/categories/tourism-and-hospitality.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| All categories | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 50 | 41 | 62 |

## Where the papers come from

*Journals with the most papers, since 2023*

| # | Journal | Papers |
|---:|---|---:|
| 1 | [International Review of Economics & Finance](https://scholar4ai.com/journals/international-review-of-economics-finance.md) | 14 |
| 2 | [International Review of Financial Analysis](https://scholar4ai.com/journals/international-review-of-financial-analysis.md) | 12 |
| 3 | [Financial Innovation](https://scholar4ai.com/journals/financial-innovation.md) | 12 |
| 4 | [Borsa Istanbul Review](https://scholar4ai.com/journals/borsa-istanbul-review.md) | 11 |
| 5 | [Journal of Banking & Finance](https://scholar4ai.com/journals/journal-of-banking-finance.md) | 10 |
| 6 | [Review of Quantitative Finance and Accounting](https://scholar4ai.com/journals/review-of-quantitative-finance-and-accounting.md) | 8 |
| 7 | [Research in International Business and Finance](https://scholar4ai.com/journals/research-in-international-business-and-finance.md) | 6 |
| 8 | [Journal of International Financial Markets Institutions and Money](https://scholar4ai.com/journals/journal-of-international-financial-markets-institutions-and-money.md) | 5 |
| 9 | [The British Accounting Review](https://scholar4ai.com/journals/the-british-accounting-review.md) | 4 |
| 10 | [Journal of Corporate Finance](https://scholar4ai.com/journals/journal-of-corporate-finance.md) | 4 |

*Institutions with the most papers, since 2023*

| # | Institution | Papers |
|---:|---|---:|
| 1 | [Monash University](https://scholar4ai.com/institutions/monash-university.md) | 5 |
| 2 | [University of Birmingham](https://scholar4ai.com/institutions/university-of-birmingham.md) | 5 |
| 3 | [Durham University](https://scholar4ai.com/institutions/durham-university.md) | 4 |
| 4 | Edinburgh Napier University | 4 |
| 5 | Florida Atlantic University | 4 |
| 6 | [Macquarie University](https://scholar4ai.com/institutions/macquarie-university.md) | 4 |
| 7 | [Newcastle University](https://scholar4ai.com/institutions/newcastle-university.md) | 4 |
| 8 | [Technical University of Munich](https://scholar4ai.com/institutions/technical-university-of-munich.md) | 4 |
| 9 | [University of Bath](https://scholar4ai.com/institutions/university-of-bath.md) | 4 |
| 10 | [University of Manchester](https://scholar4ai.com/institutions/university-of-manchester.md) | 4 |

*Countries with the most papers, since 2023*

| # | Country | Papers |
|---:|---|---:|
| 1 | United Kingdom | 45 |
| 2 | United States | 31 |
| 3 | China | 19 |
| 4 | Germany | 19 |
| 5 | Australia | 15 |
| 6 | Spain | 9 |
| 7 | Turkey | 9 |
| 8 | Italy | 8 |
| 9 | Netherlands | 8 |
| 10 | Poland | 7 |

*Keywords with the most papers, since 2023*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | [investor sentiment](https://scholar4ai.com/keywords/investor-sentiment.md) | 45 |
| 2 | [stock returns](https://scholar4ai.com/keywords/stock-returns.md) | 15 |
| 3 | [Bitcoin](https://scholar4ai.com/keywords/bitcoin.md) | 8 |
| 4 | [abnormal returns](https://scholar4ai.com/keywords/abnormal-returns.md) | 8 |
| 5 | [COVID-19 pandemic](https://scholar4ai.com/keywords/covid-19-pandemic.md) | 7 |
| 6 | [Chinese stock market](https://scholar4ai.com/keywords/chinese-stock-market.md) | 7 |
| 7 | behavioral finance | 7 |
| 8 | dividend policy | 7 |
| 9 | [firm size](https://scholar4ai.com/keywords/firm-size.md) | 7 |
| 10 | social media sentiment | 7 |

## Most-cited papers

*Most-cited papers since 2017*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 115 | 3.2 | [Machine learning and fund characteristics help to select mutual funds with positive alpha](https://doi.org/10.1016/j.jfineco.2023.103737) | [Journal of Financial Economics](https://scholar4ai.com/journals/journal-of-financial-economics.md) | 2023-10-26 | Victor DeMiguel, Javier Gil‐Bazo, Francisco J. Nogales et al. |
| 2 | 115 | 3.6 | [Sentiment trading with large language models](https://doi.org/10.1016/j.frl.2024.105227) | [Finance research letters](https://scholar4ai.com/journals/finance-research-letters.md) | 2024-03-15 | Kemal Kirtac, Guido Germano |
| 3 | 53 | 1.6 | [Valuation effect of ESG and its impact on capital structure: Evidence from Europe](https://doi.org/10.1016/j.iref.2024.01.002) | [International Review of Economics & Finance](https://scholar4ai.com/journals/international-review-of-economics-finance.md) | 2024-01-02 | Muhammad Arif Khan, M. Kabir Hassan, Maria Pia Maraghini et al. |
| 4 | 30 | 1.1 | [One crash, too many: Global uncertainty, sentiment factors and cryptocurrency market](https://doi.org/10.1016/j.intfin.2024.102028) | [Journal of International Financial Markets Institutions and Money](https://scholar4ai.com/journals/journal-of-international-financial-markets-institutions-and-money.md) | 2024-07-01 | Rilwan Sakariyahu, Rodiat Lawal, Rasheed Adigun et al. |
| 5 | 30 | 1.3 | [Multimodal market information fusion for stock price trend prediction in the pharmaceutical sector](https://doi.org/10.1007/s10489-024-05894-0) | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | 2024-12-03 | Hongren Wang, Zerong Xie, Dickson K.W. Chiu et al. |

## Used together with

Papers use Baker-Wurgler investor sentiment most often with S&P 500 (60), Twitter / X (46) and CRSP (42); it has 66 partners in the code and data network, in the group around S&P 500, Economic Policy…, Compustat.

*What papers use Baker-Wurgler investor sentiment together with (at least 3 papers; lift 1 = chance)*

| Used with | Type | Papers using both | Lift |
|---|---|---:|---:|
| [S&P 500](https://scholar4ai.com/datasets/s-p-500.md) | Dataset | 60 | 7.7 |
| [Twitter / X](https://scholar4ai.com/datasets/twitter-x.md) | Dataset | 46 | 3.1 |
| [CRSP](https://scholar4ai.com/datasets/crsp.md) | Dataset | 42 | 28.9 |
| [Economic Policy Uncertainty index](https://scholar4ai.com/datasets/economic-policy-uncertainty-index.md) | Dataset | 42 | 5.2 |
| [VIX](https://scholar4ai.com/datasets/vix.md) | Dataset | 37 | 11.2 |
| [Marketization index (Fan Gang)](https://scholar4ai.com/datasets/marketization-index-fan-gang.md) | Dataset | 34 | 14.9 |
| [Google Trends](https://scholar4ai.com/datasets/google-trends.md) | Dataset | 26 | 11.7 |
| [Compustat](https://scholar4ai.com/datasets/compustat.md) | Dataset | 24 | 11.2 |
| [Loughran-McDonald dictionary](https://scholar4ai.com/datasets/loughran-mcdonald-dictionary.md) | Dataset | 19 | 28.3 |
| [Refinitiv Datastream](https://scholar4ai.com/datasets/refinitiv-datastream.md) | Dataset | 18 | 14.1 |
| [Kenneth French Data Library](https://scholar4ai.com/datasets/kenneth-french-data-library.md) | Dataset | 15 | 26.7 |
| [Refinitiv Eikon / LSEG Workspace](https://scholar4ai.com/datasets/refinitiv-eikon-lseg-workspace.md) | Dataset | 15 | 11.6 |

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

## Papers

*Papers mentioning Baker-Wurgler investor sentiment in the last 30 days, newest first.*

| Date | Title | Journal | Authors | Affiliations |
|---|---|---|---|---|
| 2026-10-26 | [Regime-dependent bitcoin volatility forecasting under alternative information sets: evidence from econometric, deep learning, and hybrid models](https://doi.org/10.1007/s42521-026-00229-9) | [Digital Finance](https://scholar4ai.com/journals/digital-finance.md) | Ahmed Soliman Wafi, Sherif Ismail El-Halaby, Sameh Abd-el Maksoud Mohamed Aboul-Dahab | Cairo University; EU Business School, Munich; Ludwig-Maximilians-Universität München; … |
| 2026-10-23 | [From pixels to profits: trading arbitrage portfolios based on image representations](https://doi.org/10.1007/s11408-026-00507-x) | [Financial markets and portfolio management](https://scholar4ai.com/journals/financial-markets-and-portfolio-management.md) | Niklas Paluszkiewicz | Universität Ulm |
| 2026-10-22 | [Cut the chit-chat: a new framework for the application of generative language models for portfolio construction](https://doi.org/10.1007/s10479-026-07418-0) | [Annals of Operations Research](https://scholar4ai.com/journals/annals-of-operations-research.md) | Francesco A. Fabozzi, Ionuţ Florescu | Stevens Institute of Technology |

## Cite this page

Scholar4AI. (2026). Baker-Wurgler investor sentiment. Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/baker-wurgler-investor-sentiment

```bibtex
@misc{scholar4ai-datasets-baker-wurgler-investor-sentiment,
  author = {{Scholar4AI}},
  title = {Baker-Wurgler investor sentiment},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/baker-wurgler-investor-sentiment}},
  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/).