This study empirically investigates the impact of institutional ownership on stock liquidity; we used a sample size of 84 non-financial companies listed on Karachi Stock Exchange (KSE). Data were gathered for the period of 10 years, starting from 2005 to 2014. This study employs turnover ratio to measure stock liquidity while institutional ownership is measured by dividing number of shares kept by institutions from total number of outstanding shares. The fixed effect model shows that the degree of stock liquidity in Pakistani-listed firms tend to significantly increase for the firms where institutions hold a significant amount of share of that particular firm. This study also finds that ownership by bank and investment companies are positively associated with liquidity, while relationship between ownership by insurance companies and stock liquidity is found to be insignificant. Our evidence supports that many but not all institutional investors play a positive role to improve stock liquidity in Pakistani capital market. The results of this study are important for dealers, traders and brokers, in the sense that they can facilitate investors in efficient resource allocation.
The study aims to examine the relationship between individual ownership, institutional ownership and firm performance. Further it comparatively analyses the impact of both institutional and individual ownership on firm performance. For this purpose, data have been collected from 64 firms listed on Pakistan Stock Exchange (PSX) for the period of 10 years (2011 - 2020). Random effects model has been employed to test the research hypotheses. This study compares the effect of individual and institutional ownership on firm performance. Result of the study shows that both institutional and individual ownership significantly affect firm performance. However, the degree of the effect is different for both individual and institutional investors. The institutional ownership influences the firm performance twice than the individual investors influence the performance. The results also reveal that the firm performance is positively associated with the firm size while negatively related with the financial leverage. Findings of the study are important for shareholders, managers, academicians and decision makers. They can use information to frame investors’ friendly policies and guide shareholders in taking right financial decisions.
In recent decades, financial technology and stability have been debated and studied for decades. This study examines the relationship between financial technology (Fintech) and global bank financial stability. The study collected articles from research databases for this (Science Direct, Welly, Emerald, Springer Link, Google Scholar, and Research Gate). We map the financial technology–financial stability research domain and identify key developments and patterns from 1995 to 2022 using peer-reviewed articles. Financial technology's theoretical relationship to financial stability is also examined. Fintech, financial stability, and determinants are examined. This paper builds a comprehensive model of the relationship between Fintech and banking sector financial stability. Banking sectors use financial technology and financial stability practices to achieve financial stability goals and gain competitive advantages. Financial technology has increased the global banking sector financial stability.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.