Effect of global oil shocks on the sectoral returns

Purpose This study examines the effects of global oil shocks on sectoral returns during the Pakistani market’s bearish, normal and bullish behavior by controlling VIX and SP500. Design/methodology/approach We analyze daily sectoral return data from the Pakistan Stock Exchange, covering the period from January 2, 2012, to February 17, 2022. Oil shocks are classified into demand, risk and supply shocks using Ready (2018) methodology, distinguishing their unique characteristics and importance. We utilize quantile regression to evaluate how these oil shocks affect sectoral returns, considering market dynamics. Additionally, we employ the Granger causality test to validate our findings. Findings The quantile regression results indicate that the effects of oil shocks on each sector are heterogeneous and significant during both bullish and bearish market phases. Specifically, supply shocks demonstrate a more substantial influence than other shocks, consistent with Kilian’s (2009) findings. Furthermore, the Granger causality test outcomes, conducted after removing control variables, reinforce our findings. Practical implications This study offers evidence that aids investors in understanding how shocks affect sectoral returns. Additionally, it provides insights for policymakers to develop policies that respond effectively to market fluctuations caused by these shocks. Originality/value This study holds value for researchers investigating the causes of shocks and their implications for the stock market. Moreover, the insights from this study, focusing on the Pakistani market, could provide a fundamental reference for other oil-dependent nations aiming to mitigate the impacts of global oil price volatility.

Authors

Institutions

Publication Details

Journal
Journal of economic and administrative sciences.
Published
2024-12-28
DOI
https://doi.org/10.1108/jeas-01-2024-0018
Citations
2
Primary Topic
Market Dynamics and Volatility
Type
article
Field-Weighted Citation Impact
2.26
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Effect of global oil shocks on the sectoral returns

Mobeen Ur Rehman, Raazia Jarral
2 citations
Journal of economic and administrative sciences.
Market Dynamics and Volatility
2.26
article

Effect of global oil shocks on the sectoral returns

Mobeen Ur Rehman, Raazia Jarral
article en
2 citations

Abstract

Purpose This study examines the effects of global oil shocks on sectoral returns during the Pakistani market’s bearish, normal and bullish behavior by controlling VIX and SP500. Design/methodology/approach We analyze daily sectoral return data from the Pakistan Stock Exchange, covering the period from January 2, 2012, to February 17, 2022. Oil shocks are classified into demand, risk and supply shocks using Ready (2018) methodology, distinguishing their unique characteristics and importance. We utilize quantile regression to evaluate how these oil shocks affect sectoral returns, considering market dynamics. Additionally, we employ the Granger causality test to validate our findings. Findings The quantile regression results indicate that the effects of oil shocks on each sector are heterogeneous and significant during both bullish and bearish market phases. Specifically, supply shocks demonstrate a more substantial influence than other shocks, consistent with Kilian’s (2009) findings. Furthermore, the Granger causality test outcomes, conducted after removing control variables, reinforce our findings. Practical implications This study offers evidence that aids investors in understanding how shocks affect sectoral returns. Additionally, it provides insights for policymakers to develop policies that respond effectively to market fluctuations caused by these shocks. Originality/value This study holds value for researchers investigating the causes of shocks and their implications for the stock market. Moreover, the insights from this study, focusing on the Pakistani market, could provide a fundamental reference for other oil-dependent nations aiming to mitigate the impacts of global oil price volatility.

Journal of economic and administrative sciences.
Shaheed Zulfiqar Ali Bhutto Institute of Science and Technology (PK)
Openalex Percentile: Top 7%
Market Dynamics and Volatility
2.26
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.