The dynamic risk spillover of higher-order moments in the China’s energy market: A time-frequency perspective DOI
Xueyong Liu, Binbin Wang,

Min Luo

et al.

International Journal of Green Energy, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 19

Published: Dec. 29, 2024

This study employs a risk spillover measurement method based on CEEMDAN-SE, GARCHSK, and TVP-VAR-DY models to assess among 11 sub-sectors in China's energy market, such as coal, oil, thermal power, new vehicles. The sector index return is decomposed into intrinsic mode functions (IMFs) reconstructed high, medium, low-frequency sequences. GARCHSK model calculates conditional mean, variances, skewness, kurtosis sequences for these sequences, which are then integrated the evaluate return, volatility, higher-order moment spillovers. Empirical findings highlight significant time-varying effects, with volatility spillovers surpassing average total skewness New Energy Vehicle (NEV) Electric Power Grid (EPG) sectors act major transmitters, while primary receivers vary by frequency order. Regulatory authorities should develop real-time surveillance mechanism monitor transfer of risks between NEV EPG sector. It essential foster inter-industry cooperation facilitate better resource allocation swift response emerging challenges. Furthermore, policymakers focus bolstering resilience pivotal employing dynamic management strategies providing appropriate incentives.

Language: Английский

Study on the Segmented Water Washing Strategy of Rare Earth Alkali Cake and the Resource Disposal of Alkaline Wastewater DOI

Ruifeng Ma,

Jianfei Li,

Yanglei Geng

et al.

Journal of Sustainable Metallurgy, Journal Year: 2025, Volume and Issue: unknown

Published: May 12, 2025

Language: Английский

Citations

0
The role of trade policy uncertainty on contemporaneous and lagged connectedness between critical raw materials and high-tech markets: Evidence from China DOI
Wang Gao, Linlin Zhang, Haizhen Zhang

et al.

Resources Policy, Journal Year: 2024, Volume and Issue: 98, P. 105356 - 105356

Published: Oct. 15, 2024

Language: Английский

Citations

0
The dynamic risk spillover of higher-order moments in the China’s energy market: A time-frequency perspective DOI
Xueyong Liu, Binbin Wang,

Min Luo

et al.

International Journal of Green Energy, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 19

Published: Dec. 29, 2024

This study employs a risk spillover measurement method based on CEEMDAN-SE, GARCHSK, and TVP-VAR-DY models to assess among 11 sub-sectors in China's energy market, such as coal, oil, thermal power, new vehicles. The sector index return is decomposed into intrinsic mode functions (IMFs) reconstructed high, medium, low-frequency sequences. GARCHSK model calculates conditional mean, variances, skewness, kurtosis sequences for these sequences, which are then integrated the evaluate return, volatility, higher-order moment spillovers. Empirical findings highlight significant time-varying effects, with volatility spillovers surpassing average total skewness New Energy Vehicle (NEV) Electric Power Grid (EPG) sectors act major transmitters, while primary receivers vary by frequency order. Regulatory authorities should develop real-time surveillance mechanism monitor transfer of risks between NEV EPG sector. It essential foster inter-industry cooperation facilitate better resource allocation swift response emerging challenges. Furthermore, policymakers focus bolstering resilience pivotal employing dynamic management strategies providing appropriate incentives.

Language: Английский

Citations

0