Portfolio diversification amid economic uncertainty in Pakistan: empirical evidence from the quantile-on-quantile approach

• Our work applies a quantile-on-quantile framework to study the quantile-specific impact of EPU on sectoral returns in Pakistan. • Banking and insurance sectors are highly sensitive to EPU in extreme market conditions. • Automobile & Assembler, Oil and Gas, and Refinery sectors respond negatively to EPU at higher quantiles. • Cement, Technology & Communication sectors respond positively across higher and negatively across lower quantiles to EPU. • Our findings can facilitate investors and portfolio managers in risk management and provide better diversification. Over the past few decades, Economic Policy Uncertainty (EPU) has become a key driver of financial market dynamics, which influences investment decisions, risk perceptions, and overall economic stability. Therefore, our objective is to examine the impact of EPU on sectoral stocks in Pakistan. For the empirical analysis, we take monthly data from August 2010 to December 2023, and employ quantile-on-quantile regression approach (QQR) for the empirical analysis. This approach captures nonlinear and asymmetric relationships across different market conditions, thus making it ideal to analyze sectoral heterogeneity in response to changes in EPU. Our results highlight the negative effect of EPU on the returns in the Automobile & Assembler, Oil and Gas, and Refinery sectors at higher quantiles, whereas Banking and Power & Distribution sectors across all quantiles. However, in the Cement, Insurance, and Technology & Communication sectors, EPU positively affects returns at lower quantiles, whereas it negatively affects returns across higher quantiles. Policymakers should prioritize enhancing transparency and maintaining consistency in economic policies to minimize market disruptions caused by uncertainty. For portfolio managers, understanding the asymmetric impact of EPU can facilitate more effective risk management and asset allocation strategies, thus providing better diversification and hedging opportunities against uncertainty.

Authors

Institutions

Publication Details

Journal
The North American Journal of Economics and Finance
Published
2025-06-07
DOI
https://doi.org/10.1016/j.najef.2025.102486
Citations
2
Primary Topic
Market Dynamics and Volatility
Type
article
Field-Weighted Citation Impact
6.26

Funders

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

Portfolio diversification amid economic uncertainty in Pakistan: empirical evidence from the quantile-on-quantile approach

Xuan Vinh Vo, Mobeen Ur Rehman, Hassan Zada, Wafa Ghardallou et al.
2 citations
The North American Journal of Economics and Finance
Market Dynamics and Volatility
6.26
article

Portfolio diversification amid economic uncertainty in Pakistan: empirical evidence from the quantile-on-quantile approach

Xuan Vinh Vo, Mobeen Ur Rehman, Hassan Zada, Wafa Ghardallou, Naveed Khan
article en
2 citations

Abstract

• Our work applies a quantile-on-quantile framework to study the quantile-specific impact of EPU on sectoral returns in Pakistan. • Banking and insurance sectors are highly sensitive to EPU in extreme market conditions. • Automobile & Assembler, Oil and Gas, and Refinery sectors respond negatively to EPU at higher quantiles. • Cement, Technology & Communication sectors respond positively across higher and negatively across lower quantiles to EPU. • Our findings can facilitate investors and portfolio managers in risk management and provide better diversification. Over the past few decades, Economic Policy Uncertainty (EPU) has become a key driver of financial market dynamics, which influences investment decisions, risk perceptions, and overall economic stability. Therefore, our objective is to examine the impact of EPU on sectoral stocks in Pakistan. For the empirical analysis, we take monthly data from August 2010 to December 2023, and employ quantile-on-quantile regression approach (QQR) for the empirical analysis. This approach captures nonlinear and asymmetric relationships across different market conditions, thus making it ideal to analyze sectoral heterogeneity in response to changes in EPU. Our results highlight the negative effect of EPU on the returns in the Automobile & Assembler, Oil and Gas, and Refinery sectors at higher quantiles, whereas Banking and Power & Distribution sectors across all quantiles. However, in the Cement, Insurance, and Technology & Communication sectors, EPU positively affects returns at lower quantiles, whereas it negatively affects returns across higher quantiles. Policymakers should prioritize enhancing transparency and maintaining consistency in economic policies to minimize market disruptions caused by uncertainty. For portfolio managers, understanding the asymmetric impact of EPU can facilitate more effective risk management and asset allocation strategies, thus providing better diversification and hedging opportunities against uncertainty.

The North American Journal of Economics and FinanceVol. 80
Princess Nourah bint Abdulrahman University (SA), International Islamic University, Islamabad (PK), University of Economics Ho Chi Minh City (VN), Shaheed Zulfiqar Ali Bhutto Institute of Science and Technology (PK), University of Business and Technology (SA), Keele University (GB)
Đại học Kinh tế Thành phố Hồ Chí Minh
Decent work and economic growth
Openalex Percentile: Top 4%
Market Dynamics and Volatility
6.26
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.