---
title: Contagion Effects of Finance Crisis
url: https://www.ml-quant.com/papers/repec/gam-jjrfmx-v-16-y-2023-i-3-p-182-d-1091262/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: RePEc:gam:jjrfmx:v:16:y:2023:i:3:p:182-:d:1091262
source_url: https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fwww.mdpi.com%2F1911-8074%2F16%2F3%2F182%2Fpdf%3Bh%3Drepec%3Agam%3Ajjrfmx%3Av%3A16%3Ay%3A2023%3Ai%3A3%3Ap%3A182-%3Ad%3A1091262
featured: 2023-05-24
citations: unknown
topic: Other
---


# Contagion Effects of Finance Crisis

The global financial crisis had significant contagion effects on equity markets, disrupting the relationship across financial sectors.

- Source: https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fwww.mdpi.com%2F1911-8074%2F16%2F3%2F182%2Fpdf%3Bh%3Drepec%3Agam%3Ajjrfmx%3Av%3A16%3Ay%3A2023%3Ai%3A3%3Ap%3A182-%3Ad%3A1091262
- Identifier: RePEc:gam:jjrfmx:v:16:y:2023:i:3:p:182-:d:1091262
- Released: 2023-05-24
- First featured: Quant Letter No. 1 (2023-05-24): https://www.ml-quant.com/issues/2023-05-24/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Other

## Related

- [Statistical Validation of Contagion Centrality in Financial Networks](https://www.ml-quant.com/papers/arxiv/2404.14337/): The article presents a new method for assessing the risk of financial contagion across networks, including a statistical validation technique for practical application.
- [Depth Anything V2](https://www.ml-quant.com/papers/arxiv/2406.09414/): Depth Anything V2 is a new model for monocular depth estimation, using synthetic and large-scale pseudo-labeled real images for faster, more accurate results and setting a new evaluation benchmark.
- [MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark](https://www.ml-quant.com/papers/arxiv/2406.01574/): MMLU-Pro, an improved dataset, expands the Massive Multitask Language Understanding benchmark by adding tougher questions and more choices, serving as a better benchmark to monitor progress in the field.
- [Qwen2.5-Coder Technical Report](https://www.ml-quant.com/papers/arxiv/2409.12186/): The report unveils the Qwen2.5-Coder series, an improvement from its predecessor, showcasing remarkable code generation abilities and achieving top-tier performance in various code-related tasks.
- [Real-time Photorealistic Dynamic Scene Representation and Rendering with 4D Gaussian Splatting](https://www.ml-quant.com/papers/arxiv/2310.10642/): The 4DGS model is introduced, capable of reconstructing dynamic 3D scenes from 2D images and generating diverse views over time, providing real-time rendering efficiency.
- [Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives](https://www.ml-quant.com/papers/arxiv/2311.18259/): Understanding Human Activity: The paper presents Ego-Exo4D, a large-scale video dataset and benchmark challenge featuring human activities from various perspectives, aimed at improving first-person video understanding.
