Research on risk connectedness among international energy markets, china's macroeconomy, and stock markets: Perspectives from the Russia-Ukraine conflict and the Israel-Palestine conflict

Based on the Quantile Vector Autoregression (QVAR) method and integrating a geopolitical conflict perspective, this study investigates the risk connectedness among the international energy markets, China's macroeconomy and stock market. The research reveals several key findings. Firstly, the Russia-Ukraine conflict significantly increases risk interconnections among the macroeconomy, stock market, and international energy markets under various conditions. Conversely, the Israel-Palestine conflict does not lead to a significant rise in risk interconnections but exacerbates incremental risk overflows in global energy markets and the Chinese stock market during extreme states. Secondly, geopolitical conflicts intensify risk inflows in currency values and resident employment during extreme conditions. Although these effects are not persistent, they underscore the importance of monitoring impacts from extreme events. Thirdly, risk transmission among the international energy markets, China's macroeconomy exhibits asymmetry across different market states, primarily through short-term expectation mechanisms. Lastly, the coordinated efforts of monetary and fiscal policies are effective in boosting demand, maintaining supply stability, and promoting smooth economic development.

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Publication Details

Journal
Finance Research Open
Published
2025-04-08
DOI
https://doi.org/10.1016/j.finr.2025.100010
Citations
4
Primary Topic
Market Dynamics and Volatility
Type
article
Field-Weighted Citation Impact
12.52

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article

Research on risk connectedness among international energy markets, china's macroeconomy, and stock markets: Perspectives from the Russia-Ukraine conflict and the Israel-Palestine conflict

Kai Zhao, Wei Jiang, Jinyan Hu, Chunxing Gao
4 citations
Finance Research Open
Market Dynamics and Volatility
12.52
article

Research on risk connectedness among international energy markets, china's macroeconomy, and stock markets: Perspectives from the Russia-Ukraine conflict and the Israel-Palestine conflict

Kai Zhao, Wei Jiang, Jinyan Hu, Chunxing Gao
article en
4 citations

Abstract

Based on the Quantile Vector Autoregression (QVAR) method and integrating a geopolitical conflict perspective, this study investigates the risk connectedness among the international energy markets, China's macroeconomy and stock market. The research reveals several key findings. Firstly, the Russia-Ukraine conflict significantly increases risk interconnections among the macroeconomy, stock market, and international energy markets under various conditions. Conversely, the Israel-Palestine conflict does not lead to a significant rise in risk interconnections but exacerbates incremental risk overflows in global energy markets and the Chinese stock market during extreme states. Secondly, geopolitical conflicts intensify risk inflows in currency values and resident employment during extreme conditions. Although these effects are not persistent, they underscore the importance of monitoring impacts from extreme events. Thirdly, risk transmission among the international energy markets, China's macroeconomy exhibits asymmetry across different market states, primarily through short-term expectation mechanisms. Lastly, the coordinated efforts of monetary and fiscal policies are effective in boosting demand, maintaining supply stability, and promoting smooth economic development.

Finance Research OpenVol. 1(2)
Qingdao University (CN)
National Office for Philosophy and Social Sciences, Major Program of National Fund of Philosophy and Social Science of China, National Social Science Fund of China
Affordable and clean energy
Openalex Percentile: Top 2%
Market Dynamics and Volatility
12.52
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Research on risk connectedness among international energy markets, china's macroeconomy, and stock markets: Perspectives from the Russia-Ukraine conflict and the Israel-Palestine conflict — Kai Zhao, Wei Jiang, et al. · Finance Research Open (2025) | TGRS Research Map | TGRS