Characteristics and dynamic evolution of inter-industry volatility spillovers in China’s stock market

This study examines the volatility connectedness across 28 sectors in the Chinese stock market, aiming to discern the risk spillovers and their implications for financial security and economic stability. Employing a network connectedness approach, we analyze the volatility connectedness's characteristics and dynamic evolution among various sectors. The findings indicate that manufacturing industries exhibit a high degree of correlation among themselves and predominantly function as exporters of risk spillovers. Conversely, the financial industry emerges as a primary recipient, characterized by a relatively low correlation to other sectors. During the COVID-19 epidemic, risk correlation within China's stock market sectors experienced an increase, which, however, did not persist as the epidemic progressed. Furthermore, the conflict between Russia and Ukraine exerted a limited contagion effect on China's stock market risks. These insights offer valuable guidance for China in managing economic and financial risks more effectively.

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Publication Details

Journal
PLoS ONE
Published
2025-09-05
DOI
https://doi.org/10.1371/journal.pone.0330599
Primary Topic
Market Dynamics and Volatility
Type
article
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0.00
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article

Characteristics and dynamic evolution of inter-industry volatility spillovers in China’s stock market

Fusheng Xie
PLoS ONE
Market Dynamics and Volatility
article

Characteristics and dynamic evolution of inter-industry volatility spillovers in China’s stock market

Fusheng Xie
article en

Abstract

This study examines the volatility connectedness across 28 sectors in the Chinese stock market, aiming to discern the risk spillovers and their implications for financial security and economic stability. Employing a network connectedness approach, we analyze the volatility connectedness's characteristics and dynamic evolution among various sectors. The findings indicate that manufacturing industries exhibit a high degree of correlation among themselves and predominantly function as exporters of risk spillovers. Conversely, the financial industry emerges as a primary recipient, characterized by a relatively low correlation to other sectors. During the COVID-19 epidemic, risk correlation within China's stock market sectors experienced an increase, which, however, did not persist as the epidemic progressed. Furthermore, the conflict between Russia and Ukraine exerted a limited contagion effect on China's stock market risks. These insights offer valuable guidance for China in managing economic and financial risks more effectively.

PLoS ONEVol. 20(9)
Aluminum Corporation of China (China) (CN), Shanghai Normal University (CN), China Aluminum International Engineering Corporation Limited (China) (CN)
Openalex Percentile: Top 68%
Market Dynamics and Volatility
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