Corporate Governance in Turbulent Times: Assessing Firm Performance and Risk in Pakistan During Economic Stability and Crises

This study examines the impact of corporate governance (CG) systems on risk and company performance in Pakistan under stable and crisis conditions. Using eleven years of panel data (2009–2019) from 71 non-financial firms listed on the Pakistan Stock Exchange (PSX) 100 Index, the study applies random effect models and the penalized least squares regression model. The Corporate Governance Index (CGI), based on key CG factors including blockholder’s ownership, independent directors, managerial ownership, CEO duality, institutional ownership, and board ownership serves as a self-assessment measure. Findings indicate no significant relationship between CG and shareholder returns (Tobin’s Q, EPS), except for a positive correlation between CG indicators, board ownership earnings, and firm age. While CG exhibits an inverse relationship with shareholder returns, its contribution to overall performance is limited. Additionally, CG and control variables show an insignificant link to risk, whereas Risk1 (a preceding risk factor) is significantly associated with the dependent variable, risk. The study underscores the importance of strong CG practices in enhancing investor confidence and regulatory trust, reinforcing the need for transparent governance frameworks in Pakistan’s corporate sector.

Authors

Institutions

Publication Details

Journal
European Journal of Theoretical and Applied Sciences
Published
2025-04-05
DOI
https://doi.org/10.59324/ejtas.2025.3(2).35
Citations
1
Primary Topic
Islamic Finance and Banking Studies
Type
article
Field-Weighted Citation Impact
3.91
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Corporate Governance in Turbulent Times: Assessing Firm Performance and Risk in Pakistan During Economic Stability and Crises

M. Kabir Hassan, Rawad Abbas, M. G. S. Ali, Ali Hassan et al.
1 citations
European Journal of Theoretical and Applied Sciences
Islamic Finance and Banking Studies
3.91
article

Corporate Governance in Turbulent Times: Assessing Firm Performance and Risk in Pakistan During Economic Stability and Crises

M. Kabir Hassan, Rawad Abbas, M. G. S. Ali, Ali Hassan, Sanam Tehseen, Emaan Naeem
article en
1 citations

Abstract

This study examines the impact of corporate governance (CG) systems on risk and company performance in Pakistan under stable and crisis conditions. Using eleven years of panel data (2009–2019) from 71 non-financial firms listed on the Pakistan Stock Exchange (PSX) 100 Index, the study applies random effect models and the penalized least squares regression model. The Corporate Governance Index (CGI), based on key CG factors including blockholder’s ownership, independent directors, managerial ownership, CEO duality, institutional ownership, and board ownership serves as a self-assessment measure. Findings indicate no significant relationship between CG and shareholder returns (Tobin’s Q, EPS), except for a positive correlation between CG indicators, board ownership earnings, and firm age. While CG exhibits an inverse relationship with shareholder returns, its contribution to overall performance is limited. Additionally, CG and control variables show an insignificant link to risk, whereas Risk1 (a preceding risk factor) is significantly associated with the dependent variable, risk. The study underscores the importance of strong CG practices in enhancing investor confidence and regulatory trust, reinforcing the need for transparent governance frameworks in Pakistan’s corporate sector.

European Journal of Theoretical and Applied SciencesVol. 3(2)
Gomal University (PK), Wuhan University of Technology (CN), China University of Geosciences (CN), China University of Geosciences (Beijing) (CN), Capital University of Science and Technology (PK)
Openalex Percentile: Top 9%
Islamic Finance and Banking Studies
3.91
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.