所属栏目:资本市场/市场微观结构

摘要

This study aims to elucidate the behaviors of the Shanghai and Shenzhen stock exchanges during extreme volatilities—China’s 2015 Stock Market Crash and the 2020 COVID-19 pandemic. Using topological data analysis (TDA), the study identiffes early warning signals within the Shanghai–Hong Kong (SHHK) and Shenzhen–Hong Kong Stock (SZHK) -Stock Connect markets. This timeliness ensures proactive market stabilization and portfolio adjust-ments. The results also reveal that the interconnected market signals are more stable, supporting multidimensional crisis detection and offering valu-able tools for policymakers and investors to effectively mitigate ffnancial risks.
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Yingnan Cong; Wenting Zhang; Rui Shen; Xiaojing Cai Topological Data Analysis of China’s Stock Market Risks to Detect Early Warning Signals (2026年06月09日) https://www.cfrn.com.cn/lw/16745

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