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Article

Network Risk Diffusion and Resilience in Emerging Stock Markets

1
School of Finance, Yunnan University of Finance and Economics, Kunming 650221, China
2
School of Economics, Yunnan University of Finance and Economics, Kunming 650221, China
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Entropy 2025, 27(5), 533; https://doi.org/10.3390/e27050533
Submission received: 29 March 2025 / Revised: 8 May 2025 / Accepted: 14 May 2025 / Published: 16 May 2025
(This article belongs to the Special Issue Complexity in Financial Networks)

Abstract

With the acceleration of globalization, the connections between emerging market economies are becoming increasingly intricate, making it crucial to understand the mechanisms of risk transmission. This study employs the transfer entropy model to analyze risk diffusion and network resilience across ten emerging market countries. The findings reveal that Brazil, Mexico, and Saudi Arabia are the primary risk exporters, while countries such as India, South Africa, and Indonesia predominantly act as risk receivers. The research highlights the profound impact of major events such as the 2008 global financial crisis and the 2020 COVID-19 pandemic on risk diffusion, with risk diffusion peaking during the pandemic. Additionally, the study underscores the importance of network resilience, suggesting that certain levels of noise and shocks can enhance resilience and improve network stability. While the global economy gradually recovered following the 2008 financial crisis, the post-pandemic recovery has been slower, with external shocks and noise presenting long-term challenges to network resilience. This study emphasizes the importance of understanding network resilience and risk diffusion mechanisms, offering new insights for managing risk transmission in future global economic crises.
Keywords: risk diffusion; network resilience; emerging market economies; extreme risk events risk diffusion; network resilience; emerging market economies; extreme risk events

Share and Cite

MDPI and ACS Style

Li, J.-C.; Xu, Y.-Z.; Tao, C. Network Risk Diffusion and Resilience in Emerging Stock Markets. Entropy 2025, 27, 533. https://doi.org/10.3390/e27050533

AMA Style

Li J-C, Xu Y-Z, Tao C. Network Risk Diffusion and Resilience in Emerging Stock Markets. Entropy. 2025; 27(5):533. https://doi.org/10.3390/e27050533

Chicago/Turabian Style

Li, Jiang-Cheng, Yi-Zhen Xu, and Chen Tao. 2025. "Network Risk Diffusion and Resilience in Emerging Stock Markets" Entropy 27, no. 5: 533. https://doi.org/10.3390/e27050533

APA Style

Li, J.-C., Xu, Y.-Z., & Tao, C. (2025). Network Risk Diffusion and Resilience in Emerging Stock Markets. Entropy, 27(5), 533. https://doi.org/10.3390/e27050533

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