Dynamic Return Spillovers and Heterogeneous Responses Across Energy Equity Markets Under Demand–Supply Risks: A Mixed-Methods Analysis Using Chinese News Texts

This study adopts the TVP-VAR-DY framework to examine time-varying return spillovers within China’s energy sector equity market system. Based on textual data from major Chinese media, the Energy Demand–Supply Risk Index (EDRI) is constructed, and the GARCH-MIDAS model is applied to examine short- and long-term associations between energy demand–supply risks and dynamic return spillovers. Findings show: (1) Spillovers change over time and form a closely connected network, where new energy and electricity markets are main transmitters, while storage and traditional energy equity markets mainly receive. Storage is therefore better characterized as a systemically important buffer rather. (2) Effects differ across markets with lagged responses. Oil and natural gas react first, coal more slowly. (3) Each market’s position changes over time, while traditional fossil energy remains the primary source of fundamental demand–supply risks; new energy and electricity act as the dominant static net return transmitters in the equity market network, with traditional fuels surging into net transmitter roles specifically during crisis windows and pairwise transmission channels.

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Publication Details

Journal
Mathematics
Published
2026-10-28
DOI
https://doi.org/10.3390/math14213934
Primary Topic
Market Dynamics and Volatility
Type
article
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article

Dynamic Return Spillovers and Heterogeneous Responses Across Energy Equity Markets Under Demand–Supply Risks: A Mixed-Methods Analysis Using Chinese News Texts

Junyi Zhu, Tingqiang Chen, Lei Wang, Tao Xu
5 links
Mathematics
Market Dynamics and Volatility
article

Dynamic Return Spillovers and Heterogeneous Responses Across Energy Equity Markets Under Demand–Supply Risks: A Mixed-Methods Analysis Using Chinese News Texts

Junyi Zhu, Tingqiang Chen, Lei Wang, Tao Xu
article en

Abstract

This study adopts the TVP-VAR-DY framework to examine time-varying return spillovers within China’s energy sector equity market system. Based on textual data from major Chinese media, the Energy Demand–Supply Risk Index (EDRI) is constructed, and the GARCH-MIDAS model is applied to examine short- and long-term associations between energy demand–supply risks and dynamic return spillovers. Findings show: (1) Spillovers change over time and form a closely connected network, where new energy and electricity markets are main transmitters, while storage and traditional energy equity markets mainly receive. Storage is therefore better characterized as a systemically important buffer rather. (2) Effects differ across markets with lagged responses. Oil and natural gas react first, coal more slowly. (3) Each market’s position changes over time, while traditional fossil energy remains the primary source of fundamental demand–supply risks; new energy and electricity act as the dominant static net return transmitters in the equity market network, with traditional fuels surging into net transmitter roles specifically during crisis windows and pairwise transmission channels.

MathematicsVol. 14(21)
Nanjing Tech University (CN)
Affordable and clean energy, Industry, innovation and infrastructure
Openalex Percentile: Top 8%
Market Dynamics and Volatility
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Dynamic Return Spillovers and Heterogeneous Responses Across Energy Equity Markets Under Demand–Supply Risks: A Mixed-Methods Analysis Using Chinese News Texts — Junyi Zhu, Tingqiang Chen, et al. · Mathematics (2026) | TGRS Research Map | TGRS