Oil shocks and unexpected economic policy uncertainty: evidence from wavelet nonparametric quantile causality

The persistent volatility in global oil markets and the unpredictability of economic policy have intensified concerns over their interconnected impacts on macroeconomic stability. However, existing studies often overlook this relationship’s asymmetric and frequency-dependent nature. This study addresses this gap by investigating the causal nexus between Unexpected Economic Policy Uncertainty (UEPU) and four disaggregated oil shocks, Oil Supply Shocks (OSS), Economic Activity Shocks (EAS), Oil Consumption Demand Shocks (OCDS), and Oil Inventory Demand Shocks (OIDS), from January 1985 to August 2024. A novel contribution lies in constructing a UEPU index using an AR (1)-GARCH (1,1) model on traditional EPU data to better capture unforeseen policy dynamics. Utilizing the Wavelet Nonparametric Quantile Causality (WNQC) approach, the study reveals substantial bidirectional causality, varying across timescales and quantiles. UEPU exerts a stronger and more consistent influence on OSS and EAS in the short- to medium-term, while its effects on OCDS and OIDS are episodic and concentrated at extreme quantiles. Conversely, feedback effects from oil shocks to UEPU are weaker and context-specific. These findings underscore the need for transparent and stable policy frameworks, institutional buffers, and coordinated energy strategies to manage uncertainty and prevent destabilizing feedback between oil shocks and policy volatility.

Authors

Institutions

Publication Details

Journal
Humanities and Social Sciences Communications
Published
2025-10-27
DOI
https://doi.org/10.1057/s41599-025-05574-5
Citations
1
Primary Topic
Market Dynamics and Volatility
Type
article
Field-Weighted Citation Impact
3.13

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Oil shocks and unexpected economic policy uncertainty: evidence from wavelet nonparametric quantile causality

Oktay Özkan, Fadhila Hamza, Seyi Saint Akadırı, Ifeanyi Ogbekene
1 citations
Humanities and Social Sciences Communications
Market Dynamics and Volatility
3.13
article

Oil shocks and unexpected economic policy uncertainty: evidence from wavelet nonparametric quantile causality

Oktay Özkan, Fadhila Hamza, Seyi Saint Akadırı, Ifeanyi Ogbekene
article en
1 citations

Abstract

The persistent volatility in global oil markets and the unpredictability of economic policy have intensified concerns over their interconnected impacts on macroeconomic stability. However, existing studies often overlook this relationship’s asymmetric and frequency-dependent nature. This study addresses this gap by investigating the causal nexus between Unexpected Economic Policy Uncertainty (UEPU) and four disaggregated oil shocks, Oil Supply Shocks (OSS), Economic Activity Shocks (EAS), Oil Consumption Demand Shocks (OCDS), and Oil Inventory Demand Shocks (OIDS), from January 1985 to August 2024. A novel contribution lies in constructing a UEPU index using an AR (1)-GARCH (1,1) model on traditional EPU data to better capture unforeseen policy dynamics. Utilizing the Wavelet Nonparametric Quantile Causality (WNQC) approach, the study reveals substantial bidirectional causality, varying across timescales and quantiles. UEPU exerts a stronger and more consistent influence on OSS and EAS in the short- to medium-term, while its effects on OCDS and OIDS are episodic and concentrated at extreme quantiles. Conversely, feedback effects from oil shocks to UEPU are weaker and context-specific. These findings underscore the need for transparent and stable policy frameworks, institutional buffers, and coordinated energy strategies to manage uncertainty and prevent destabilizing feedback between oil shocks and policy volatility.

Humanities and Social Sciences CommunicationsVol. 12(1)
Princess Nourah bint Abdulrahman University (SA), European University of Lefke (TR), Tokat Gaziosmanpaşa Üniversitesi (TR), Agruicultural Research Institute (CY), University of Business and Technology (SA), Clemson University (US)
Princess Nourah Bint Abdulrahman University
Openalex Percentile: Top 6%
Market Dynamics and Volatility
3.13
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.