Dynamic and asymmetric connectedness among fossil energies and stock markets of the Belt and Road countries under shocks from extreme events

This study investigates the dynamic and asymmetric return connectedness between fossil energies of crude oil and natural gas, and stock markets of the Belt and Road countries (the B&R stock markets) under shocks from extreme events (e.g. the COVID-19 pandemic and the Russo-Ukrainian war) from 2019 to 2023 by using the time-varying parameter vector autoregression model (TVP-VAR) with the asymmetric connectedness indicator and multilayer spillover networks. We find that: (i) risk spillover between fossil energies and the B&R stock markets is more sensitive to negative information on price changes than positive information, and the asymmetry of the connectedness is much larger during the periods with exogenous shocks induced by extreme events of the COVID-19 pandemic and the Russo-Ukrainian war. (ii) the level of risk spillover between fossil energies and the B&R stock markets has significantly increased after the outbreak of extreme events, and the global shock from the COVID-19 pandemic has more widespread and greater impact on the risk spillover than the geopolitical shock from the Russo-Ukrainian war. (iii) fossil energies perform as risk receivers throughout the full sample period, and risks are primarily transferred from high-income countries to low-income countries within the B&R stock markets, this phenomenon is also intensified by the extreme shocks. Our findings provide valuable guidance and have economic implications for both investors and policymakers worldwide to diversify and manage the risks within the global fossil energy market and the B&R stock markets.

Authors

Institutions

Publication Details

Journal
Transnational Corporation Review
Published
2024-12-01
DOI
https://doi.org/10.1016/j.tncr.2024.200104
Citations
1
Primary Topic
Market Dynamics and Volatility
Type
article
Field-Weighted Citation Impact
1.13
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Dynamic and asymmetric connectedness among fossil energies and stock markets of the Belt and Road countries under shocks from extreme events

Yi Zheng, Xinjun Wu, Yikai Chen, Kaixin Liu et al.
1 citations
Transnational Corporation Review
Market Dynamics and Volatility
1.13
article

Dynamic and asymmetric connectedness among fossil energies and stock markets of the Belt and Road countries under shocks from extreme events

Yi Zheng, Xinjun Wu, Yikai Chen, Kaixin Liu, Mingyuan Yang
article en
1 citations

Abstract

This study investigates the dynamic and asymmetric return connectedness between fossil energies of crude oil and natural gas, and stock markets of the Belt and Road countries (the B&R stock markets) under shocks from extreme events (e.g. the COVID-19 pandemic and the Russo-Ukrainian war) from 2019 to 2023 by using the time-varying parameter vector autoregression model (TVP-VAR) with the asymmetric connectedness indicator and multilayer spillover networks. We find that: (i) risk spillover between fossil energies and the B&R stock markets is more sensitive to negative information on price changes than positive information, and the asymmetry of the connectedness is much larger during the periods with exogenous shocks induced by extreme events of the COVID-19 pandemic and the Russo-Ukrainian war. (ii) the level of risk spillover between fossil energies and the B&R stock markets has significantly increased after the outbreak of extreme events, and the global shock from the COVID-19 pandemic has more widespread and greater impact on the risk spillover than the geopolitical shock from the Russo-Ukrainian war. (iii) fossil energies perform as risk receivers throughout the full sample period, and risks are primarily transferred from high-income countries to low-income countries within the B&R stock markets, this phenomenon is also intensified by the extreme shocks. Our findings provide valuable guidance and have economic implications for both investors and policymakers worldwide to diversify and manage the risks within the global fossil energy market and the B&R stock markets.

Transnational Corporation ReviewVol. 16(4)
Henan University of Science and Technology (CN), Imperial College London (GB), Zhejiang University of Finance and Economics (CN)
Openalex Percentile: Top 11%
Market Dynamics and Volatility
1.13
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.