Assessing Dynamic Relationships Between Geopolitical Risks and Energy‐Related Uncertainty: New Perspectives From the <i>R</i> <sup>2</sup> Decomposed Linkage Method

Given their growing complexity, a deeper comprehension of the connections between geopolitical risks and energy‐related uncertainties is needed. Our analysis uses the R 2 deconstructed linkage approach to identify relationships, distinguishing between contemporaneous and delayed links. Using this unique method, the return transmission mechanism between the monthly crude oil volatility (OVX), the Standard &amp; Poor’s 500 Index (SP500), the Geopolitical Risk Index (GPR), and the energy‐related uncertainty indices (EUI) is investigated. The time frame for our investigation is January 2017–October 2022. Energy uncertainty was driven by lagged linkage in early 2020 and by both connections from late 2021 onward. These observations highlight the connection between geopolitical risks and energy uncertainty, offering policymakers helpful direction to lessen negative effects and improve market resilience and stability.

Authors

Institutions

Publication Details

Journal
Discrete Dynamics in Nature and Society
Published
2025-01-01
DOI
https://doi.org/10.1155/ddns/5532052
Primary Topic
Market Dynamics and Volatility
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessing Dynamic Relationships Between Geopolitical Risks and Energy‐Related Uncertainty: New Perspectives From the R 2 Decomposed Linkage Method

Lê Thanh Hà
Discrete Dynamics in Nature and Society
Market Dynamics and Volatility
article

Assessing Dynamic Relationships Between Geopolitical Risks and Energy‐Related Uncertainty: New Perspectives From the R 2 Decomposed Linkage Method

Lê Thanh Hà
article en

Abstract

Given their growing complexity, a deeper comprehension of the connections between geopolitical risks and energy‐related uncertainties is needed. Our analysis uses the R 2 deconstructed linkage approach to identify relationships, distinguishing between contemporaneous and delayed links. Using this unique method, the return transmission mechanism between the monthly crude oil volatility (OVX), the Standard &amp; Poor’s 500 Index (SP500), the Geopolitical Risk Index (GPR), and the energy‐related uncertainty indices (EUI) is investigated. The time frame for our investigation is January 2017–October 2022. Energy uncertainty was driven by lagged linkage in early 2020 and by both connections from late 2021 onward. These observations highlight the connection between geopolitical risks and energy uncertainty, offering policymakers helpful direction to lessen negative effects and improve market resilience and stability.

Discrete Dynamics in Nature and SocietyVol. 2025(1)
National Economics University (VN)
Openalex Percentile: Top 67%
Market Dynamics and Volatility
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.

Assessing Dynamic Relationships Between Geopolitical Risks and Energy‐Related Uncertainty: New Perspectives From the <i>R</i> <sup>2</sup> Decomposed Linkage Method — Lê Thanh Hà · Discrete Dynamics in Nature and Society (2025) | TGRS Research Map | TGRS