---
title: "The Journal of Finance and Data Science: recent papers"
description: "The Journal of Finance and Data Science published 2 papers in the last 30 days (2026-09-27 to 2026-10-26), ranking #175 of 239 journals."
url: https://scholar4ai.com/journals/the-journal-of-finance-and-data-science
markdown_url: https://scholar4ai.com/journals/the-journal-of-finance-and-data-science.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "The Journal of Finance and Data Science published 2 papers in the last 30 days (2026-09-27 to 2026-10-26), ranking #175 of 239 journals."
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-10-26T14:52:47+09:00
window: 2026-09-27 to 2026-10-26
source: OpenAlex (CC0)
---

# The Journal of Finance and Data Science

- 0 papers in the last 7 days
- category: Finance
- publisher: Elsevier BV
- ISSN 2405-9188

Back to the ranking: https://scholar4ai.com/rankings/journals.md

## Key findings

- The Journal of Finance and Data Science published 2 papers in the last 30 days (2026-09-27 to 2026-10-26), ranking #175 of 239 journals.
- Leading institutions: California State University, Bakersfield (1) and Universidad Complutense de Madrid (1).
- Countries: United States (1) and Spain (1).
- From Oct 2023 to Sep 2026, The Journal of Finance and Data Science published 70 papers (2 a month on average, by publication date in OpenAlex).
- Its most frequent keywords over that period were “portfolio optimization” (7), “Sharpe ratio” (5) and “fintech” (5).
- Its most-cited paper of the period is “Finding a needle in a haystack: A machine learning framework for anomaly detection in payment systems” (2025-04-04), with 15 citations.

## The last 36 months

*Papers by publication date, Oct 2023 to Sep 2026*

| Oct 23–Sep 24 | Oct 24–Sep 25 | Oct 25–Sep 26 | 36 months |
|---:|---:|---:|---:|
| 23 | 20 | 27 | 70 |

*Most frequent keywords, Oct 2023 to Sep 2026*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | portfolio optimization | 7 |
| 2 | Sharpe ratio | 5 |
| 3 | fintech | 5 |
| 4 | anomaly detection | 3 |
| 5 | [artificial intelligence](https://scholar4ai.com/keywords/artificial-intelligence.md) | 3 |
| 6 | artificial intelligence in finance | 3 |
| 7 | asset pricing | 3 |
| 8 | class imbalance | 3 |
| 9 | financial risk management | 3 |
| 10 | option pricing | 3 |

*Most-cited papers published Oct 2023 to Sep 2026*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 15 | 0.8 | [Finding a needle in a haystack: A machine learning framework for anomaly detection in payment systems](https://doi.org/10.1016/j.jfds.2025.100163) | [The Journal of Finance and Data Science](https://scholar4ai.com/journals/the-journal-of-finance-and-data-science.md) | 2025-04-04 | Ajit Desai, Anneke Kosse, Jacob Sharples |
| 2 | 5 | 0.5 | [Pairs trading with time-series deep learning models](https://doi.org/10.1016/j.jfds.2026.100177) | [The Journal of Finance and Data Science](https://scholar4ai.com/journals/the-journal-of-finance-and-data-science.md) | 2025-12-01 | Selin Yilmaz, Emre Sefer |
| 3 | 4 | 0.3 | [Using Bell violations as an indicator for financial market crisis](https://doi.org/10.1016/j.jfds.2025.100164) | [The Journal of Finance and Data Science](https://scholar4ai.com/journals/the-journal-of-finance-and-data-science.md) | 2025-07-22 | Arefeh Zarifian, Christoph Gallus, Ludger Overbeck et al. |
| 4 | 3 | 0.4 | [End-to-end large portfolio optimization for variance minimization with neural networks through covariance cleaning](https://doi.org/10.1016/j.jfds.2026.100179) | [The Journal of Finance and Data Science](https://scholar4ai.com/journals/the-journal-of-finance-and-data-science.md) | 2026-03-04 | Christian Bongiorno, Efstratios Manolakis, Rosario N. Mantegna |
| 5 | 2 | 0.1 | [Catastrophic-risk-aware reinforcement learning with extreme-value-theory-based policy gradients☆](https://doi.org/10.1016/j.jfds.2025.100165) | [The Journal of Finance and Data Science](https://scholar4ai.com/journals/the-journal-of-finance-and-data-science.md) | 2025-08-05 | Parisa Davar, Frédéric Godin, José Garrido |

*Papers, newest first.*

| Date | Title | Journal | Authors | Affiliations |
|---|---|---|---|---|
| 2026-10-01 | [Empirical Asset Pricing via Large Language Models](https://doi.org/10.1016/j.jfds.2026.100207) | [The Journal of Finance and Data Science](https://scholar4ai.com/journals/the-journal-of-finance-and-data-science.md) | Anjana Yatawara | California State University, Bakersfield |
| 2026-09-30 | [Oil prices and the pricing of green equity ETFs: Evidence on greenium dynamics](https://doi.org/10.1016/j.jfds.2026.100206) | [The Journal of Finance and Data Science](https://scholar4ai.com/journals/the-journal-of-finance-and-data-science.md) | José Alejandro Fernández Fernández, Miguel Ángel Casquet, Sonia Quiroga | Universidad Complutense de Madrid |

## Cite this page

Scholar4AI. (2026). The Journal of Finance and Data Science. Journal Research Rankings. Retrieved October 26, 2026, from https://scholar4ai.com/journals/the-journal-of-finance-and-data-science

```bibtex
@misc{scholar4ai-journals-the-journal-of-finance-and-data-science,
  author = {{Scholar4AI}},
  title = {The Journal of Finance and Data Science},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/journals/the-journal-of-finance-and-data-science}},
  urldate = {2026-10-26},
  note = {Journal 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/).