---
title: "CSI 300 / Shanghai Composite: papers using it"
description: "From Nov 2023 to Oct 2026, 191 archived papers mentioned CSI 300 / Shanghai Composite in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Oct 2026 (13)."
url: https://scholar4ai.com/datasets/csi-300-shanghai-composite
markdown_url: https://scholar4ai.com/datasets/csi-300-shanghai-composite.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "From Nov 2023 to Oct 2026, 191 archived papers mentioned CSI 300 / Shanghai Composite in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Oct 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)
---

# CSI 300 / Shanghai Composite

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

Benchmark equity indices used as market returns, samples or index-membership designs.

- data category: Stock market indices
- 0 papers in the last 7 days
- Names searched for: CSI 300, CSI300, Shanghai Composite, SSE Composite, Shanghai Stock Exchange Composite

Most-used data: https://scholar4ai.com/rankings/datasets.md · All Stock market indices datasets: https://scholar4ai.com/datasets/stock-market-indices.md



## Key findings

- From Nov 2023 to Oct 2026, 191 archived papers mentioned CSI 300 / Shanghai Composite in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Oct 2026 (13).
- CSI 300 / Shanghai Composite was mentioned in 6 papers in the last 30 days (2026-10-07 to 2026-11-05), ranking #51 of the 246 datasets mentioned.
- By journal category: Finance (5) and AI (1).
- Most of them appeared in International Review of Economics & Finance (1), Journal of Behavioral and Experimental Finance (1) and Emerging Markets Review (1).
- From 2017 to 2026 (so far), CSI 300 / Shanghai Composite was mentioned in 298 papers in the tracked journals, most of them in finance (164), AI (52) and economics (50).
- 52 of them were published in 2025, against 7 in 2017.
- Since 2023, the institutions with the most of these papers were Southwestern University of Finance and Economics (6), Anhui University of Finance and Economics (5) and Lebanese American University (5).
- The journals publishing most of them were Financial Innovation (26), International Review of Economics & Finance (24) and Expert Systems with Applications (16).
- The most-cited of them is “The role of ESG performance during times of financial crisis: Evidence from COVID-19 in China” (Finance research letters, 2020), with 1,688 citations.
- Papers use CSI 300 / Shanghai Composite most often with S&P 500 (104), Marketization index (Fan Gang) (56) and Economic Policy Uncertainty index (39); it has 43 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 |
|---|---:|---:|---:|---:|
|  | 63 | 50 | 78 | 191 |

## 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) | 2 | 2 | 9 | 11 | 11 | 10 | 12 | 32 | 27 | 48 |
| [AI](https://scholar4ai.com/categories/ai.md) | 1 | 2 | 1 | 4 | 3 | 6 | 8 | 8 | 10 | 9 |
| [Economics](https://scholar4ai.com/categories/economics.md) | 3 | 3 | 4 | 2 | 5 | 2 | 4 | 12 | 6 | 9 |
| [Management](https://scholar4ai.com/categories/management.md) | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | 2 |
| [Operations Research](https://scholar4ai.com/categories/operations-research.md) | 1 | 0 | 0 | 1 | 2 | 0 | 2 | 2 | 0 | 0 |
| [Statistics](https://scholar4ai.com/categories/statistics.md) | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 2 |
| [Health Economics and Policy](https://scholar4ai.com/categories/health-economics-and-policy.md) | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| [Accounting](https://scholar4ai.com/categories/accounting.md) | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 |
| [Information Systems](https://scholar4ai.com/categories/information-systems.md) | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 |
| All categories | 7 | 8 | 14 | 20 | 21 | 21 | 26 | 59 | 52 | 70 |

## Where the papers come from

*Journals with the most papers, since 2023*

| # | Journal | Papers |
|---:|---|---:|
| 1 | [Financial Innovation](https://scholar4ai.com/journals/financial-innovation.md) | 26 |
| 2 | [International Review of Economics & Finance](https://scholar4ai.com/journals/international-review-of-economics-finance.md) | 24 |
| 3 | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 16 |
| 4 | [Finance research letters](https://scholar4ai.com/journals/finance-research-letters.md) | 13 |
| 5 | [Computational Economics](https://scholar4ai.com/journals/computational-economics.md) | 11 |
| 6 | [The North American Journal of Economics and Finance](https://scholar4ai.com/journals/the-north-american-journal-of-economics-and-finance.md) | 11 |
| 7 | [Research in International Business and Finance](https://scholar4ai.com/journals/research-in-international-business-and-finance.md) | 9 |
| 8 | [Future Business Journal](https://scholar4ai.com/journals/future-business-journal.md) | 6 |
| 9 | [Pacific-Basin Finance Journal](https://scholar4ai.com/journals/pacific-basin-finance-journal.md) | 5 |
| 10 | [International Review of Financial Analysis](https://scholar4ai.com/journals/international-review-of-financial-analysis.md) | 5 |

*Institutions with the most papers, since 2023*

| # | Institution | Papers |
|---:|---|---:|
| 1 | [Southwestern University of Finance and Economics](https://scholar4ai.com/institutions/southwestern-university-of-finance-and-economics.md) | 6 |
| 2 | [Anhui University of Finance and Economics](https://scholar4ai.com/institutions/anhui-university-of-finance-and-economics.md) | 5 |
| 3 | [Lebanese American University](https://scholar4ai.com/institutions/lebanese-american-university.md) | 5 |
| 4 | Pusan National University | 5 |
| 5 | [Shanghai University of Finance and Economics](https://scholar4ai.com/institutions/shanghai-university-of-finance-and-economics.md) | 5 |
| 6 | [University of Chinese Academy of Sciences](https://scholar4ai.com/institutions/university-of-chinese-academy-of-sciences.md) | 5 |
| 7 | [Hong Kong Polytechnic University](https://scholar4ai.com/institutions/hong-kong-polytechnic-university.md) | 4 |
| 8 | [Macau University of Science and Technology](https://scholar4ai.com/institutions/macau-university-of-science-and-technology.md) | 4 |
| 9 | [Sun Yat-sen University](https://scholar4ai.com/institutions/sun-yat-sen-university.md) | 4 |
| 10 | [Anhui University](https://scholar4ai.com/institutions/anhui-university.md) | 3 |

*Countries with the most papers, since 2023*

| # | Country | Papers |
|---:|---|---:|
| 1 | China | 123 |
| 2 | United Kingdom | 33 |
| 3 | Australia | 13 |
| 4 | South Korea | 11 |
| 5 | United States | 8 |
| 6 | Hong Kong | 7 |
| 7 | Turkey | 7 |
| 8 | Spain | 6 |
| 9 | Italy | 6 |
| 10 | Germany | 5 |

*Keywords with the most papers, since 2023*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | [Chinese stock market](https://scholar4ai.com/keywords/chinese-stock-market.md) | 38 |
| 2 | Shanghai Composite Index | 29 |
| 3 | CSI 300 | 27 |
| 4 | CSI 300 index | 23 |
| 5 | S&P 500 | 19 |
| 6 | [COVID-19 pandemic](https://scholar4ai.com/keywords/covid-19-pandemic.md) | 17 |
| 7 | stock price prediction | 17 |
| 8 | stock market volatility | 16 |
| 9 | [portfolio optimization](https://scholar4ai.com/keywords/portfolio-optimization.md) | 13 |
| 10 | volatility forecasting | 13 |

## Most-cited papers

*Most-cited papers since 2017*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 1,688 | 22.6 | [The role of ESG performance during times of financial crisis: Evidence from COVID-19 in China](https://doi.org/10.1016/j.frl.2020.101716) | [Finance research letters](https://scholar4ai.com/journals/finance-research-letters.md) | 2020-08-13 | David C. Broadstock, Kalok Chan, Louis T. W. Cheng et al. |
| 2 | 633 | 8.9 | [A CNN-BiLSTM-AM method for stock price prediction](https://doi.org/10.1007/s00521-020-05532-z) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 2020-11-24 | Wenjie Lu, Jiazheng Li, Jingyang Wang et al. |
| 3 | 603 | 7.8 | [Are cryptocurrencies a safe haven for equity markets? An international perspective from the COVID-19 pandemic](https://doi.org/10.1016/j.ribaf.2020.101248) | [Research in International Business and Finance](https://scholar4ai.com/journals/research-in-international-business-and-finance.md) | 2020-06-04 | Thomas Conlon, Shaen Corbet, Richard J. McGee |
| 4 | 483 | 5.1 | [Deep learning-based feature engineering for stock price movement prediction](https://doi.org/10.1016/j.knosys.2018.10.034) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 2018-11-22 | Wen Long, Zhichen Lu, Ling-Xiao Cui |
| 5 | 382 | 3.3 | [A feature weighted support vector machine and K-nearest neighbor algorithm for stock market indices prediction](https://doi.org/10.1016/j.eswa.2017.02.044) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 2017-03-01 | Yingjun Chen, Yongtao Hao |

## Used together with

Papers use CSI 300 / Shanghai Composite most often with S&P 500 (104), Marketization index (Fan Gang) (56) and Economic Policy Uncertainty index (39); it has 43 partners in the code and data network, in the group around S&P 500, Economic Policy…, Compustat.

*What papers use CSI 300 / Shanghai Composite 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 | 104 | 7.3 |
| [Marketization index (Fan Gang)](https://scholar4ai.com/datasets/marketization-index-fan-gang.md) | Dataset | 56 | 13.3 |
| [Economic Policy Uncertainty index](https://scholar4ai.com/datasets/economic-policy-uncertainty-index.md) | Dataset | 39 | 2.6 |
| [Euro Stoxx / DAX](https://scholar4ai.com/datasets/euro-stoxx-dax.md) | Dataset | 35 | 13.3 |
| [Nikkei 225 / TOPIX](https://scholar4ai.com/datasets/nikkei-225-topix.md) | Dataset | 34 | 36.4 |
| [VIX](https://scholar4ai.com/datasets/vix.md) | Dataset | 27 | 4.4 |
| [FTSE indices](https://scholar4ai.com/datasets/ftse-indices.md) | Dataset | 23 | 12.8 |
| [Dow Jones Industrial Average](https://scholar4ai.com/datasets/dow-jones-industrial-average.md) | Dataset | 21 | 10.7 |
| [WTI crude oil](https://scholar4ai.com/datasets/wti-crude-oil.md) | Dataset | 20 | 4.9 |
| [Twitter / X](https://scholar4ai.com/datasets/twitter-x.md) | Dataset | 19 | 0.7 |
| [CSMAR](https://scholar4ai.com/datasets/csmar.md) | Dataset | 16 | 5.8 |
| [Brent crude oil](https://scholar4ai.com/datasets/brent-crude-oil.md) | Dataset | 13 | 4.7 |

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

## Papers

*Papers mentioning CSI 300 / Shanghai Composite in the last 30 days, newest first.*

| Date | Title | Journal | Authors | Affiliations |
|---|---|---|---|---|
| 2026-10-27 | [Macro-financial conditions and volatility connectedness across industrial and precious metal markets](https://doi.org/10.1016/j.iref.2026.105971) | [International Review of Economics & Finance](https://scholar4ai.com/journals/international-review-of-economics-finance.md) | Amelie Schischke, Andreas Rathgeber | University of Augsburg |
| 2026-10-22 | [To what extent does weather influence stock market dynamics](https://doi.org/10.1016/j.jbef.2026.101271) | [Journal of Behavioral and Experimental Finance](https://scholar4ai.com/journals/journal-of-behavioral-and-experimental-finance.md) | Yiqi Wang, Ting Liu, Shaosong Wang | Macau University of Science and Technology |
| 2026-10-17 | [U.S.-China tensions and systemic risk transmission across asset classes: New evidence from a TVP-VAR connectedness framework](https://doi.org/10.1016/j.ememar.2026.101580) | [Emerging Markets Review](https://scholar4ai.com/journals/emerging-markets-review.md) | David Y. Aharon, Martin M. Bojaj, Arie Jacobi | Ono Academic College; Peres Academic Center |
| 2026-10-12 | [Multi-task end-to-end portfolio optimization with self-supervised graph attention network](https://doi.org/10.1016/j.eswa.2026.134674) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Yinhong Yao, Yupeng Wang, Jingjing Li et al. | Capital University of Economics and Business |
| 2026-10-11 | [Option-implied tail-risk pricing and ETF crash risk: evidence from the CSI 300 ETF options market](https://doi.org/10.1016/j.najef.2026.102733) | [The North American Journal of Economics and Finance](https://scholar4ai.com/journals/the-north-american-journal-of-economics-and-finance.md) | Bo Zhang, Ying Zhang | Xi'an University of Technology |
| 2026-10-09 | [Capturing time-varying uncertainty: Does hyperparameter retuning frequency matter? Evidence from China’s high-frequency data](https://doi.org/10.1016/j.pacfin.2026.103407) | [Pacific-Basin Finance Journal](https://scholar4ai.com/journals/pacific-basin-finance-journal.md) | Lingbing Feng, Wuyan Tao, Haochen Li et al. | Jiangxi University of Finance and Economics |

## Cite this page

Scholar4AI. (2026). CSI 300 / Shanghai Composite. Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/csi-300-shanghai-composite

```bibtex
@misc{scholar4ai-datasets-csi-300-shanghai-composite,
  author = {{Scholar4AI}},
  title = {CSI 300 / Shanghai Composite},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/csi-300-shanghai-composite}},
  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/).