The time‐varying volatility spillover effects between China's coal and metal market DOI
Boqiang Lin, Tianxu Lan

Journal of Futures Markets, Journal Year: 2024, Volume and Issue: 44(5), P. 699 - 719

Published: Feb. 4, 2024

Abstract This study employs a time‐varying parameter vector autoregression methodology with the Diebold and Yilmaz spillover index to scrutinize temporal fluctuations in volatility spillovers between Chinese coal metal markets. The analysis is conducted from dual perspectives of security indices futures prices. findings reveal robust correlation markets, market serving as primary conduit for into market. Furthermore, this investigates time‐specific impacts decommissioning policies, COVID‐19 pandemic, supply crisis on coal–metal spillovers. indicate that these three unique shocks significantly increase overall risk Moreover, during exceptional events, extent or role undergoes varying degrees change. On basis findings, article presents pertinent policy recommendations.

Language: Английский

The spatial spillover effects of clean energy consumption and production on sustainable economic development in China DOI Creative Commons
Yun Cao, Peng Jiang,

Ziyan Gong

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(8), P. e28976 - e28976

Published: April 1, 2024

The massive consumption of fossil energy has resulted in high CO2 emissions, posing a formidable challenge to global sustainable economic development (SED). As countries endeavor shift from clean sources achieve SED, research on the impact is scarce, and quantitative analysis lacking. This study measured China's SED used spatial econometric model examine production across 30 provinces China 2008 2020. Results show that (1) exhibits significant positive autocorrelation characteristics, forming "point-to-area" pattern. (2) Clean consumption, production, structure all contribute promotion region have spillover effects. (3) A considerable regional disparity exists SED. eastern central regions effects, whereas western opposite. Notably, estimated coefficient Durbin relatively small, reflecting ongoing transition its limited role promoting sustainability. Joint efforts differentiated policies are essential develop economic.

Language: Английский

Citations

5

Asymmetric effects of commodity and stock market on Chinese green market: Evidence from wavelet-based quantile-on-quantile approach DOI
Hongli Niu, Shasha Zhang

Renewable Energy, Journal Year: 2024, Volume and Issue: 230, P. 120794 - 120794

Published: June 13, 2024

Language: Английский

Citations

5

Spillovers and dependency between green finance and traditional energy markets under different market conditions DOI
Ruirui Wu, Bin Li, Zhongfeng Qin

et al.

Energy Policy, Journal Year: 2024, Volume and Issue: 192, P. 114263 - 114263

Published: July 20, 2024

Language: Английский

Citations

5

Tail-risk connectedness between sukuk and conventional bond markets and their determinants: Evidence from a country-level analysis DOI Creative Commons
Mabruk Billah, Burcu Kapar, M. Kabir Hassan

et al.

Borsa Istanbul Review, Journal Year: 2023, Volume and Issue: 24(1), P. 137 - 163

Published: Dec. 3, 2023

The study investigates the tail-risk spillover between markets for sukuk and conventional bonds across fifteen countries 2016 2023. First, we estimate a time varying parameter-value at risk (TVP-VAR)-based frequency connectedness model to measure total, short-, long-term connectedness, which address investment horizons of different investors. in market is smaller all frequencies than bond market, might offer investors better opportunities diversification. Dynamic total fluctuates over time, proves that event dependent. Covid-19 crisis Russia-Ukraine war are main periods when intensified with high uncertainty. results this insights who seek diversification policy makers especially during uncertain economic conditions.

Language: Английский

Citations

12

The time‐varying volatility spillover effects between China's coal and metal market DOI
Boqiang Lin, Tianxu Lan

Journal of Futures Markets, Journal Year: 2024, Volume and Issue: 44(5), P. 699 - 719

Published: Feb. 4, 2024

Abstract This study employs a time‐varying parameter vector autoregression methodology with the Diebold and Yilmaz spillover index to scrutinize temporal fluctuations in volatility spillovers between Chinese coal metal markets. The analysis is conducted from dual perspectives of security indices futures prices. findings reveal robust correlation markets, market serving as primary conduit for into market. Furthermore, this investigates time‐specific impacts decommissioning policies, COVID‐19 pandemic, supply crisis on coal–metal spillovers. indicate that these three unique shocks significantly increase overall risk Moreover, during exceptional events, extent or role undergoes varying degrees change. On basis findings, article presents pertinent policy recommendations.

Language: Английский

Citations

4