新兴市场股票市场网络风险扩散与弹性。

IF 2.1 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY
Entropy Pub Date : 2025-05-16 DOI:10.3390/e27050533
Jiang-Cheng Li, Yi-Zhen Xu, Chen Tao
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引用次数: 0

摘要

随着全球化的加速,新兴市场经济体之间的联系变得越来越复杂,了解风险传导机制变得至关重要。本研究采用转移熵模型分析了十个新兴市场国家的风险扩散和网络弹性。研究结果显示,巴西、墨西哥和沙特阿拉伯是主要的风险出口国,而印度、南非和印度尼西亚等国则主要是风险接收国。该研究强调了2008年全球金融危机和2020年新冠肺炎大流行等重大事件对风险扩散的深刻影响,风险扩散在大流行期间达到顶峰。此外,该研究强调了网络弹性的重要性,表明一定程度的噪音和冲击可以增强弹性并改善网络稳定性。虽然全球经济在2008年金融危机后逐渐复苏,但大流行后的复苏速度较慢,外部冲击和噪音对网络复原力构成了长期挑战。本研究强调了理解网络弹性和风险扩散机制的重要性,为未来全球经济危机中的风险传导管理提供了新的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Network Risk Diffusion and Resilience in Emerging Stock Markets.

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.

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来源期刊
Entropy
Entropy PHYSICS, MULTIDISCIPLINARY-
CiteScore
4.90
自引率
11.10%
发文量
1580
审稿时长
21.05 days
期刊介绍: Entropy (ISSN 1099-4300), an international and interdisciplinary journal of entropy and information studies, publishes reviews, regular research papers and short notes. Our aim is to encourage scientists to publish as much as possible their theoretical and experimental details. There is no restriction on the length of the papers. If there are computation and the experiment, the details must be provided so that the results can be reproduced.
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