---
title: "CoVaR (systemic risk): formula and 4 recent papers"
description: "CoVaR (systemic risk) was mentioned in 4 papers in the last 30 days (2026-09-27 to 2026-10-26), ranking #82 of the 104 equations and models mentioned."
url: https://scholar4ai.com/equations/covar-systemic-risk
markdown_url: https://scholar4ai.com/equations/covar-systemic-risk.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-10-26T13:22:50+09:00
window: 2026-09-27 to 2026-10-26
source: OpenAlex (CC0)
---

# CoVaR (systemic risk)

$$
\Pr\big(X^{\mathrm{sys}} \le \mathrm{CoVaR}_q^{\mathrm{sys} \mid i} \mid X^{i} = \mathrm{VaR}_q^{i}\big) = q
$$

Value at risk of the financial system conditional on an institution being in distress; Delta CoVaR measures its contribution.

- area: Asset pricing and risk
- 0 papers in the last 7 days
- Names searched for: CoVaR, delta CoVaR

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

## Key findings

- CoVaR (systemic risk) was mentioned in 4 papers in the last 30 days (2026-09-27 to 2026-10-26), ranking #82 of the 104 equations and models mentioned.
- By journal category: Finance (2), AI (1) and Economics (1).
- Most of them appeared in Finance research letters (2), Machine Learning (1) and Computational Economics (1).
- Often mentioned together with GARCH (3), Nash equilibrium (1) and Gradient descent (1).
- Datasets named in the same papers: VIX (1), OVX (crude oil volatility index) (1) and Euro Stoxx / DAX (1).
- From Apr 2024 to Sep 2026, 24 archived papers mentioned CoVaR (systemic risk) in their title, abstract or keywords, most of them in May 2025 (4).

## Mentions over 30 months

*Papers mentioning it by publication month, Apr 2024 to Sep 2026 (titles, abstracts and keywords)*

| Trend | Apr 24–Sep 24 | Oct 24–Sep 25 | Oct 25–Sep 26 | 30 months |
|---|---:|---:|---:|---:|
|  | 4 | 20 | 0 | 24 |

*Papers mentioning CoVaR (systemic risk), newest first.*

| Date | Title | Journal | Authors | Affiliations |
|---|---|---|---|---|
| 2026-10-17 | [Beyond Likelihood Ratio Bias: Nested Multi-time Scale Stochastic Approximation for Likelihood-Free Parameter Estimation](https://doi.org/10.1007/s10994-026-07175-y) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | Zehao Li, Zhouchen Lin, Yijie Peng | Peking University; Nanjing University |
| 2026-10-12 | [Measurement and Early Warning of Systemic Financial Risk Based on Differentiated GARCH-Copula and NNG-LSTM Model](https://doi.org/10.1007/s10614-026-11449-x) | [Computational Economics](https://scholar4ai.com/journals/computational-economics.md) | Zidan Luo, L Wang, Lin Sui et al. | Jiangnan University; Shandong Jiaotong University |
| 2026-10-07 | [Testing for dominance in risk transmission mechanisms towards the European energy market](https://doi.org/10.1016/j.frl.2026.110844) | [Finance research letters](https://scholar4ai.com/journals/finance-research-letters.md) | Jone Ascorbebeitia, Eva Ferreira, Susan Orbe | University of the Basque Country |
| 2026-10-01 | [When Geopolitical Stress Hits Defense Technology: Multiscale Evidence from Cybersecurity, Aerospace, and Semiconductor Markets](https://doi.org/10.1016/j.frl.2026.110989) | [Finance research letters](https://scholar4ai.com/journals/finance-research-letters.md) | Nader Naifar | Imam Mohammad ibn Saud Islamic University |

## Cite this page

Scholar4AI. (2026). CoVaR (systemic risk). Journal Research Rankings. Retrieved October 26, 2026, from https://scholar4ai.com/equations/covar-systemic-risk

```bibtex
@misc{scholar4ai-equations-covar-systemic-risk,
  author = {{Scholar4AI}},
  title = {CoVaR (systemic risk)},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/equations/covar-systemic-risk}},
  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/).